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\documentclass[12pt,article,oneside,a4paper]{memoir}
%% Packages
%% ========
\usepackage{graphicx}
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%% Some more packages that you may want to use. Have a look at the
%% file, and consult the package docs for each.
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%% Theorem environments. You will have to adapt this for a German
%% thesis.
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\title{\textbf{ZNZ Introduction to Neuroscience II} \\
Spring 2017\\\normalsize version 1.0}
\author{
Vanessa Leite
\vspace{2em}
\\Repository page: \url{https://github.com/ssinhaleite/znz-intro-to-neuroscience-II-summary}\\
Contact \href{mailto:vrcleite@gmail.com}{vrcleite@gmail.com} if you have any questions.}
\thesistype{The Summary of the lectures in 2017}
\department{ZNZ - Institute of Neuroinformatics, ETH}
\date{\today}
\begin{document}
\frontmatter
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\section{Cognitive Neuroscience}
%%---------------------------------------------------------------------------%%
\subsection{Methods in Cognitive Neuroscience - prof. Christian Ruff - 20.02.2017}
There are various types of methods to acquire cognitive information. Those
methods have different temporal resolution (can be acquired in milisseconds,
seconds, hours, day, etc), spatial resolution (can get information of the
brain, maps, columns, layers, cels, synapses, molecules) and invasiveness.
Techniques that record neuronal activity directly through electrophysiological
means tend to have very good temporal resolution and techniques that manipulate
brain function through drug effects or brain lesions tend to have the poorest
temporal resolution.
Techniques that position electrode sensors directly within the brain have the
highest spatial resolution and techniques that measure electrical signals that
spread diffusely tend to have the lowest spatial resolution.
Non-invasive techniques record endogenous brain signals using sensors outside
the body, thus they have almost no risk and can be conducted repeatedly in
human volunteer participants. In the other hand, invasive techniques introduce
a chemical or recording device into the body. Some invasive techniques can be
used in humam volunteers (with significant attention) but other can be used
only in human patients and/or non-human animals.
The main techniques that will be considered here are \textbf{correlative or
measurement} and \textbf{causal or manipulation}. Both types of techniques
provide distinct and complementary information about brain function.
Usually, the progress of cognitive neuroscience research happens quickly when
measurement (correlative) techniques establish links between brain structure
and cognitive function, and then manipulation (causal) techniques probe that
relationship.
\subsubsection{Correlative techniques}
Measurements techniques measure changes in brain function (information
transmited by neurons) while a research participant (human or animal) engages
in some cognitive activity. They are often described as being ``correlational''
because they can show that signals from a brain region co-occur with a function
of interest, but they cannot show that a region is necessary for that function.
\paragraph{(f)MRI} (functional) Magnetic Resonance Imaging
MRI is a non-invasive imagin technique that employs principles of magnetic
resonance to visualize different tissue types. Usually, one image is acquired.
It is slow (minutes) but accurate (sub-mm spatial resolution).
The fMRI employs special sequences that are i) sensitive to blood oxygenation
and ii) fast to acquire (whole brain in ~2-3 seconds). Numerous images are
recorded and represent timecourse of blood oxygenation durig experimental task.
How the magnetic resonance works:
\begin{itemize}
\item Place an object (brain) in a strong \textbf{magnetic} field
\subitem protons in the body have spins with a specific orientation and
frequency, when the body is inside an MRI scanner, the protons align with the
direction of the magnetic field.
\item Deliver energy in form of radio waves
\subitem pulses of radio frequence with the appropriate frequency (that depends
on the atomic nucleus being imaged, usually \textbf{Larmor frequency}) change
the orientation of the spins as the protons absorb the energy. The frequence
used is called \textbf{resonant frequency}. When the pulse is turned off, the
protons return to their original orientations, this process is called
``relaxation'', and during the (longitudinal $\rightarrow$ T1 and transverse
$\rightarrow$ T2) relaxation, the protons emit energy in the form of radio
waves (Figure~\ref{fig:orientation-relaxation}).
\item Measure radio waves emitted by the object
\subitem T1 (longitunial) is time constant of how quickly the protons realign
with the magnetic field, for instance, CSF has low signal (dark) and fat has
high signal (bright).
\subitem T2 (tranverse) is time constant of how quickly the protons emit
energy when recovering to equilibrium, for instance, fat has low signal (dark)
and CSF has high sinal (bright).
\end{itemize}
\begin{figure}
\centering
\includegraphics[width=0.3\textwidth]{imgs/mri-longitudinal-transverse.png}
\caption{Orientation of the relaxation}
\label{fig:orientation-relaxation}
\end{figure}
\textbf{The human scanners have a strong static magnetic field (around 1.5-7
Tesla). For reference, the earth's magnetic field is approximately 0.5 Gauss or
50-millionths of a Tesla.}
The \textbf{T1 fMRI} images are structural images with high spatial resolution
(less than 1 mm) and accurately distinguish different types of tissue. The
\textbf{T2 fMRI} images have lower spatial resolution (2-3 mm) and relate
changes in MR-signal to an experimental manipulation.
Timeseries represents a large number of signals that are acquired in temporal
order at a specific rate.
Some terminology:
\begin{itemize}
\item subjects: the item that will be scanned
\item sessions: each time that the subject is inside of the scanner
\item runs: all the images generated in one section for the whole subject. One
complete scan of the subject is obtained in one single run.
\item volume: the 3d images generated from one single run
\item slices: each section of the volume is called slice.
\item voxel: each single unit information in a slice
\end{itemize}
\paragraph{the BOLD (Blood Oxygenation Level Dependent) contrast}
\label{bold-fmri}
BOLD measures inhomogeneities in the magnetic fiels (T2) due to changes in the
level of O\textsubscript{2} in the blood. This way, fMRI measures neural
activity indirectly via BOLD signal.
The oxygenated hemoglobine is diamagnetic (non magnetic) and produce no signal
loss, however, the deoxygenated hemoglobine is paramagnetic (magnetic) and then
produce a signal loss. When a specific region of the cortex increases its
activity in response to a task, the extraction of oxygen from the local
capillaries leads to an initial drop in oxygenated hemoglobine~(oxyHb) and an
increase in local carbon dioxide~(CO\textsubscript{2}) and deoxygenated
hemoglobine~(deoxyHb).
Some temporal properties of the BOLD signal:
\begin{itemize}
\item peaks 4-6 seconds after neural activity (delay)
\item back to baseline after approx. 30 secs
\item can vary in precise shape between regions and subjects
\item often shows undershoot and sometimes shows initial undershoot
\end{itemize}
Due to an over-compensatory increase of rCBF~(regional Cerebral Blood Flow),
increased neural activity can decreases the relative amount of deoxyHB.
This is called neurovascular coupling and it is an active area of research.
At present, the safest assumption is that BOLD relates to both spiking output
and excitatory postsynaptic activity in neurons. Inhibitory activity is not
assumed to lead to BOLD increases.
BOLD signal is not an absolute measure, but differs from session to session due
to differences in scanner sensitivity, subject, etc. This way, BOLD signal
needs to be compared between different conditions within the same experiment to
infer BOLD changes (increase or decrease) due to neural process of interest P.
In other words: \textbf{[Task with P] - [control task without P] = P}.
For this ``subtraction approach'', there are assumptions of ``pure insertion'':
i) cognitive (and neural) processes can be added to others without changing
them and ii) changed behavior (and brain activity) reflects only added process.
\paragraph{Design of fMRI experiments}
The advantages of fMRI are evident in its widespread acceptance among
researchers and its visibility among the general public. fMRI allows us to
\textbf{map complex cognitive functions in the brain of human volunteer
participants with a good combination of spatial and temporal resolution}.
However, fMRI has some disadvantages: it remains expensive, the scanner
typically costs \$500-\$1000 per hour; also, some participants will be excluded
based on issues related to safety (e.g., implanted devices) or comfort (e.g.,
claustrophobia). Moreover, even very small physiological variation (like head
movements of only a few milimeters, breathing, or heartbeats) introduces noise
into the BOLD signal.
The design of fMRI experiments can be block-designs or event-related designs.
In the \textbf{block-designs} we measure constant BOLD response to a
\textbf{series of stimuli}. In the \textbf{event-related designs} we measure
BOLD response to \textbf{each stimulus}.
Usually, fMRI experiments present an experimental stimuli displayed via
MR-compatible monitor, head mounted display, or projection system, and the
participant indicates his responses by moving a joystick or pressing a button.
\begin{itemize}
\item Block-designs:
\subitem higher statistical sensitivity for detecting effects.
\subitem some psychological process have to/may be better in blocks, for
instance, if there is a difficult to switch between states or to reduce surprise
effects.
\item Event-related designs:
\subitem randomised trial order
\subitem some events can not be blocked due to stimulus context.
\end{itemize}
In the fMRI designs, the predictions for BOLD signal can be categorical
(identify classes), parametric (stimuli rotating, expanding) or model-based
(check correlation between some model and BOLD signals). One can use a
factorial desing and combine different factors (categorical, parametric and
model-based) within one study, allowing study of context-dependent neural
responses (can show failures of pure insertion).
Sometimes, the resolution of the experiment is smaller than the MR image
resolution, for this, we can consider the MVPA~(multivariate activity pattern)
or repetition suppression instead of the univariate signal in each voxel. The
MVPA assumes that the signal in each voxel represents mixture of neuronal
populations specialised for different features. Note that the pattern of
increases and decreases may hence reliably differentiate different stimuli,
even if each voxel by itself does not. The repetition suppression design use
decreases in BOLD signal for 2nd vs 1st presentation of stimulus as index for
functional specialization of neurons within the voxel.
\paragraph{Analysis of fMRI experiments: SPM~(Statistical Parametric Mapping)}
SPM is a statistical approach instantiated in the most widely used software
package for fMRI anaysis, it is implemented in MATLAB and it is open source.
Allows standardised detection of \textbf{regional activity changes} in each
voxel, associated with task parameters.
\begin{itemize}
\item Preprocessing
\subitem Realignment (= registration): fix small head movements, assumes that
the shape of the brain does not change.
\subitem Spatial Normalisation: increase sensitivity with more subjects,
extrapolate findings to the whole population and make results from different
studies comparable (all in the same 'coordinate system')
\subitem Smoothing: increase signal to noise, improve inter-subject averaging.
In SPM, smoothing is a convolution with a Gaussian kernel. After smoothing,
each voxel becomes the result of applying a weighted region of interest.
\item Model estimation
\subitem parameters estimation from GLM of voxel timeseries
\item Contrasts and SPMs
\subitem statistical inference
\end{itemize}
The results from fMRI are presented usually in three diferent ways, as shown in
Figure~\ref{fig:fMRI-results}. More specifically:
\begin{figure}
\centering
\includegraphics[width=\textwidth]{imgs/fMRI-results.png}
\caption{Common ways to present fMRI results. A) maps of activation, B) time
courses of BOLD fMRI signal and C) parameter estimates of fMRI activation.}
\label{fig:fMRI-results}
\end{figure}
\begin{itemize}
\item Maps of activation
\subitem the image is not a snapshot of the brain activity or a map of brain
function.
It simply indicates the results of a particular set of statistical tests, and
the threshold for significance is (usually) corrected by the number of tests
conducted.
\item Time course of activation
\subitem it shows the BOLD contrast MR signal changes over the duration of the
experiment. The pattern of changes in BOLD signal over time is called a
\textbf{hemodynamic response}.
\item Parameter estimates
\subitem This involves creating a hypothesized model for the changes in brain
activation that would be observed if there was an effect of the experimental
condition. Its main advantage is that it provides a hypothesis-based
statistical framework that can be adapted to any experimental design.
\end{itemize}
\paragraph{Advances in fMRI}
Contrary to popular conception, advances in MRI technology have not been
through stronger scanners, instead, the advances are changes in the hardware
and procedures for collecting fast and high-signal images. Rather than only
recording signals from a single sensor around the sample object, new
multi-channel scanners record MR signals from a large number of sensors at
different points in space.
\subsubsection{Causal Techniques}
In order to address the impact of neural processes on behavior, neuroscients
have developed several research techniques to experimentally manipulate neural
processing in specific brain areas. Causal or manipulation techniques examine
how perturbations of the brain's function change cognitive functions or
behavior. Pertubations on brain can be achieved either by transiently changing
neuronal firing rates or neurotransmitter levels (\textbf{brain stimulation
techniques}) or by permanently damaging tissue (\textbf{techniques that study
the consequences of brain lesions}). There is also a third technique:
\textbf{neurophamacological intervetion}.
\paragraph{Brain Stimulation Techniques}
Communication between connected neurons depends on the flow of electric
charges. Neurons maintain an electric potential of about -70mV and when this
potential rises above a fixed threshold voltage-gated ion channels open and
trigger action potentials. This variation on membrane potential is usually
caused by synaptic input from other neurons, but an external electrical current
can also affect membrane voltages and thus generate or inhibit action
potentials. Brain Stimulation Techniques produce electrical currents in the
brain in a controlled and locally specific fashion.
\paragraph{History of causal techniques: invasive stimulation}
Fritsch \& Hitzig in 1870 electrically stimulated an awake dog's brain via
inserted wires and caused involuntary movements. The experiments were done in
Frisch's home as the University would not allow the experiments. It was the
first study to show that externally supplied electricity triggers neural
function. Penfield and Rasmussen in 1950 attached electrodes to the cortical
surface of human patients who were about to undergo neurosurgery and applied
electrical current at various parts of the cerebral cortex. The behaviors and
sensations elicited by stimulation of each area were documented in one of the
first empirical maps of various motor, sensory and cognitive functions in the
human cortex \textbf{Systematic ``cartography'' of brain-behavior
(homunculus)}.
Nowadays, direct electrical stimulation of neurons via intracranial electrodes
remains a routine technique in animal research, but most neuroscients use
non-invasive brain stimulation techniques in human research as these techniques
do not require surgery and can thus be employed routinely in health
participants.
\paragraph{Causal Methods: Non-invasive stimulation}
Overcome need for invasive pre-surgical diagnosis, allow systematic testing of
excitability and integrity of motor tracts, modulate function of the cortex for
clinical purposes. Examples: TMS~(transcranial magnetic stimulation) and
tES~(transcranial electric stimulation).
\paragraph{TMS}
\paragraph{TMS: Biophysics}
From Faraday's Law: a time-varying magnetic field induces an electric field in
a conducting material. The induced electric field results in a measurable
voltage and current flow. For TMS, the conducting material is the brain and the
induced current activates neurons, as shown in Figure~\ref{fig:tms}.
\begin{figure}
\centering
\includegraphics[width=\textwidth]{imgs/tms.png}
\caption{Basic principle of TMS}
\label{fig:tms}
\end{figure}
Brain is not a homogenous conductor, but mixture of different materials (skull,
liquor, gray and white matter) that have different conductivities. So, how does
the electric field affect neurons?
\begin{itemize}
\item Activation of nerve fibre determined by the spatial derivative of the
field component parallel to the fibre (the activating function)
\item Nerve bends are low-threshold points and therefore easiest to stimulate;
the stronger the field, the stronger the stimulation.
\item Cortical neurons have numerous bends, terminals and branches; these will
all be affected most at the location where the induced fiels is maximal.
\item The likely stimulation point in the cortex for random orientation of
bends etc, is the field maximum.
\end{itemize}
TMS stimulates neurons by means of electromagnetic induction. A
looped copper coil is placed against the part of the scalp overlying the site
to be stimulated. By running a strong, rapidly changing electrical current
through the coil we generate a magnetic pulse perpendicular to the coil. This
pulse permeates the skull and brain tissue.
The rapid change of the magnetic pulse generates a complementary electric field
in any conductive material (in this case, the neural tissue). \textbf{In other
words, TMS uses a magnetic field, which can pass easily through the skull, to
generate an electrical field inside the skull.}
The likelihood that an action potential will be generated at any location
depends on the orientation of these neurons with regard to the induced
electrial field, this means, \textbf{some locations in the cortex are easier to
stimulate than others using this technique}.
The two most common coil shapes are circular and figure-eight-shaped. Circular
coils generate powerful but more difuse fields, whereas figure-eight coils
result in more focal fields that produce the maximum current at the
intersection of the two windings.
\paragraph{TMS: Neurophysiology and types of stimulation protocols}
TMS pulses of hand representation in M1~(motor cortex area 1) cause measurable
twitches in hand muscles. Non-motor cortical areas require different behavioral
indices.
\textbf{Finding the right area} The first step of any TMS experiment involves
localizing the scalp area overlying the cortical area that is to be stimulated.
The experimenter needs to estimate where on the scalp the TMS coil needs to be
placed in order to induce currents in the target area. The stimulation area can
also be identified as the site at which TMS has maximal behavioral effects in a
separated task performed before the actual experiment begins.
\textbf{Finding the optimal TMS intensity} The optimal TMS intensity is usually
determined for each participant individually as a fixed percentage of the motor
threshold (MT), that is, the minimum intensity at which TMS applied over the
motor cortex elicits hand twiches.
\textbf{Influencing brain activity} There are at least two different ways to
influence brain activity.
\begin{itemize}
\item repeated TMS (rTMS) pulses can be applied \textit{online} during task
performance at a temportal frequency (5-20 Hz).
\subitem The rTMS pulses elicit unspecific neural activity in the targeted area
that disrupts cortical computations at that location.
\item rTMS can also be applied just prior to the task (\textit{offline}). The
offline TMS generates after-effects offering a window in which the normal
functional contribution of the stimulated area and possibly interconected areas
are markedly reduced.
\subitem rTMS can be applied for several minutes at low temporal
frequency~(1Hz) $\rightarrow$ can reduce Motor Evoked Potentials for roughly
the same duration as the length of rTMS application
\subitem rTMS can be applied for less than a minute in a \textit{theta burst
pattern}, tipically 3-5 pulses at 100 Hz repeated at 5Hz. Theta-burst TMS~(TBS)
mimicks the theta rhythm that is expressed during memory storage. Also, TBS has
been shown to lead to reductions (for continuous TBS) or enhancements (for
intermittent TBS) of Motor Evoked Potential size lasting more than 30 minutes.
\end{itemize}
\paragraph{From slides notes:} It is necessary to be sure that the brain area
is ``at rest'' during the stimulation (voluntary movements/contraction can
reverse/abolishes the effects.
\paragraph{Advantages and Limitations of TMS}
TMS allows non-invasive manipulation of neural processing with high spatial
resolution (about one centimeter) and exceptional temporal resolution
(milliseconds). However, nowadays it is only possible to target brain areas on
the cortical surface. Also, for offline studies, there is some uncertainty about
the precise duration of time window of TMS after-effects during which behavioral
tests can be conducted.
\paragraph{tES: Biophysics}
Two poles with electric potential difference (charge) connected through a
conductive medium. The connection leads to discharge by electric current:
negatively charged ions~(anions) flow to anode, and positively charged
ions~(cations) flow to cathode, as shown in Figure~\ref{fig:tes}.
\begin{figure}
\centering
\includegraphics[width=0.3\textwidth]{imgs/tes.png}
\caption{Basic principle of tES}
\label{fig:tes}
\end{figure}
tES envolves attaching two electrodes to the scalp and applying a constant
electric potential difference, thus running a weak but constant electrical
current between them. This affects the neurons along the path of the current,
slightly changing their membrane voltages and thus their spontaneous firing.
These effects are stronger directly beneath the electrodes, where the current
density is highest.
\textbf{About 50\% of the applied current reaches the cortex, the rest is
shunted by the skull.}
\begin{table}[h]
\begin{tabular}{ l | p{6cm} | p{6cm} }
\hline
& TMS & tES \\ \hline
current & Induction of current by magnetic field & direct application of
current \\ \hline
area & relatively focal & not very focal \\ \hline
induce & precisely timed burst of action potentials (+ physiological
effects) & it does not induce time-locked neural activity but modulates
natural activity \\ \hline
threshold & suprathreshold stimulation & subthreshold stimulation \\ \hline
effects & phenomenological & physiological \\
\hline
\end{tabular}
\caption{Differences between TMS and tES}
\end{table}
\paragraph{History of causal techniques: lesion studies }
Lesion studies are used to investigate causal brain-behavior relations
(consequence of focal head wounds). They are measure in a hypothesis-guided
fashion, where cognitive and behavioral deficits of brain-lesioned patients
are studied.
Brain lesions in animals can be experimentally induced in the laboratory, which
enables scientists to test anatomically specific hypotheses about the relevance
of the brain areas for specific behaviors.
\paragraph{Lesion studies in humans}
The study of behavioral deficits in patients with brain damage (refered to as \textbf{neuropsychology}) originated in the neurological clinic.
One of the greatest challenges in neurological research is to determine the
exact scope and extent of the neural damage associated with the given
condition.
To test a hypothesis about the functional role of a given brain area using the
lesion approach, researchers first identify a group of patients with more or
less selective damage to the brain area. It is necessary, also, to identify a
suitable control group for behavioral comparison (the control participants need
to be closely matched to the patients with respect to behavior relevant factors
such as age, intelligence, socioeconomic status, cultural background, etc).
\paragraph{Advantages}
The brain-behavior relationship is truly causal. Behavior deficits due to brain
lesion can be very profound and can be evident to untrained observers.
Moreover, the behavioral deficits resulting from naturally occurring brain
damage can be very unexpected, leading to entirely new hypothesis. The
knowledge gained from lesion studies is always relevant for medical care as it
specifies behavioral deficits in patientes with specific types of brain damage,
which may help the diagnosis and treatment of these disorders.
\paragraph{Limitations}
Brain damage is often spatially diffuse, this can make it very difficult to
find patients with overlapping damage in the structures of interest. Often
litle is known about patients' behavior prior to the accident or illness. Brain
injuries and ilnesses and their treatment can have nonspecific sequelae that
may affect behavior, such as brain reorganization, medication effects, or an
altered life situation.
\paragraph{Lesion studies in animals}
In animals lesions are generated in clearly defined brain regions by various
means so that therapeutic measures and the time course of recovery can be
studied. A surgery is performed to produce a lesion at the designated site,
usually the damage is irreversible.
Lesion experiments in animals usually involve an experimental and a control
group of animals that undergo matched procedures to rule out any unspecific
effects of training, surgery, etc. The control group also undergoes surgery,
but the procedures do not involve harm to the brain. At the end of testing,
the extent of the lesion is documented by detailed \textit{post morten}
neuroanatomical and neurochemical examination of the brain tissue.
\paragraph{Advantages}
Full control over many variables that vary randomly in the context of
pathological brain lesion in humans. Animals can be randomly assigned to either
lesion or control group and can be perfectly matched in terms of experience,
life situation, etc.
\paragraph{Limitations}
Difficult to conduct: the training and keeping of experimental animals can be
very labor-intensive and costly. Surgery and behavioral testing require
considerable infrastructure. It is generally difficult to compare behavior
across species.
%%---------------------------------------------------------------------------%%
\newpage
\subsection{Perception and Attention - prof. D. Kiper - 27.02.2017}
\subsubsection{Perception}
Perception is \textbf{not a passive process}, sensation is the passive process.
Perception is \textbf{the process by which people select, organize, interpret
and respond to information from the world around them}. It is selection and
organization of environmental stimuli to provide meaningful experiences (we are
not passive analyzers). The particular perception of itself is called
proprioception. If you do not receive any stimulus (for instance, in a
depravation tank), your brain creates it.
\textbf{Perception is essentially the interface between the outer and inner
worlds.} The outer environment creates signals that can be sensed and the
perceiver receives these signals and converts them into psychologically
meaningful representations that define our inner experience of the world.
The perceptual process consists of six stages
(Figure~\ref{fig:perception-stages}):
\begin{figure}
\centering
\includegraphics[width=0.5\textwidth]{imgs/perception-stages.png}
\caption{Stages of perception}
\label{fig:perception-stages}
\end{figure}
\begin{itemize}
\item (1-2) People receive stimuli from the enviroment throught their senses.
\item (3) When the senses are activated, starts the perceptual selection. The
perceptual selection is a filter, that allow us to deal with the most important
matter. This is called \textbf{selective screening}: our system eliminates some
factors because they are not important for us to be aware of. The ``most
important'' is based on influencing factors that can be external or internal,
as listed in Table \ref{table:factors-perception}.
\item (4) When the most important stimuli is identified, starts the perceptual
organization process by which people group the stimuli in recognizable
patterns, listed in Table \ref{table:perceptual-organization}.
\item (5-6) Then, we use the information received to interpret and respond to
the stimuli. Perception is noisy and makes mistakes, it is a very complex
system.
\end{itemize}
\begin{table}
\begin{tabular}{ p{13cm} | p{2cm} }
\hline
Internal & External \\ \hline
personality - strong factor & size \\ \hline
learning and perceptual sets - expectation of particular interpretation
based on past experiences with the same or similar objects & intensity
\\ \hline
motivation - the needs and desires at any particular time can influence
perception (when you are hungry you can perceive a food as more delicious
than when you are not hungry) & contrast \\ \hline
& motion \\ \hline
& repetition \\ \hline
& novelty \\ \hline
& familiarity \\
\hline
\end{tabular}
\caption{Externals and internal influencing perception}
\label{table:factors-perception}
\end{table}
\begin{table}
\begin{tabular}{ l | p{10cm} }
\hline
perceptual grouping or continuity & lines are seen as following the
smoothest path \\ \hline
closure & tendency to complete an object and perceive it as a constant \\
\hline
color constancy & your brain starts to iluminate the enviroment making you
think the color is the same in different enviroments \\
\hline
\end{tabular}
\caption{Examples of perceptual organization}
\label{table:perceptual-organization}
\end{table}
The most common types of perceptual errors are:
\begin{itemize}
\item accuracy in judgment (main types listed in
Table~\ref{table:accuracy-judgment}).
\item perceptual defence: the tendency for people to protect themselves against
ideas, objects or situations thar are threatening.
\item stereotyping: the belief that all members of a specific group share
similar traits and behaviors.
\item halo effect: tendency to color everthing we know about a person because
of one recognizable (un)favourable trait.
\item projection: tendenct to see one's trait in others.
\item role of culture: culture influence our perception in selecting
information and exhibiting a behavioral pattern in situations.
\end{itemize}
\begin{table}
\begin{tabular}{ p{5cm} | p{10cm} }
\hline
similarity error & assuming that people are similar to us and then, will
behave like us \\ \hline
contrast error & comparing people to others rather than to some absolut
standard \\ \hline
overweighting of negative information & tendency to overreact to something
negative \\ \hline
race, age, and gender bias & tendency to be more or less positive based on
one's race, age or sex \\ \hline
first impression error & forming first impressions that are resistant to
change \\
\hline
\end{tabular}
\caption{Examples of error in accuracy of judgment}
\label{table:accuracy-judgment}
\end{table}
This simple perception-appraisal-response sequence is implemented innumerable
times in the course of any given day and, to a great extent, is completed
without effort.
\subsubsection{Attention}
Attention is taking possession of the mind, in clear and vivid form, of one out
of what seem several simultaneous possible objects or trains of thought. It is
the focalization, concentration of consciouness. It implies withdraw from some
things in order to deal effectively with others.
Attention can change rapidly, switching from one thing to another. It can be
steered by our intentions (``top-down''), as when we look for a particular face
in a crowd, or it can be steered by features of objects in the world
(``bottom-up''), as when our attention is grabbed by a police car's flashing
lights in our rearview mirror.
The bottom-up stimulus usually seems to require immediate behavioral responses
(e.g, a rock flying in your direction). It seems quite functional that the
attentional system is tuned to attend quickly to moving and looming stimuli as
those stimuli will commonly have more immediate survival implications than the
more stable ones.
Not all stimuli in the perceptual fiel receive equal attention; instead, some
stimuli are selected for relatively intense scrutinity, making them more likely
to reach the threshold of awareness. When an individual encounters stereotype/
inconsistent information, attention is drawn, and the perceptual details of an
event are encoded.
We can enhance perception, if we focus our attention on a location in the visual
field, this is called \textbf{spotlight of attention}. However, enhancing
perception in one part of the visual field takes place at the expense of other
areas.
\textbf{Shadowing task} is an experiment where two ``signs'' are presented to
the participant and one of the signs will ``hide'' the other.
There are three main types of attention: overt, covert and feature attention.
Each one of them are explained in Table \ref{table:types-attention}. The common
area for saccade eye movements (overt attention) and covert attention is the
frontal lobe; the area preferentially activated by covert attention is the
parieral lobe.
\begin{table}
\begin{tabular}{ p{5cm} | p{10cm} }
\hline
overt attention & selectively attending to an item or location over others
by moving the eyes to point in that direction \\ \hline
covert attention & related with spotlight of attention, you can't pay
attention to many things, this way when you pay attention in one thing,
your capacity to pay attention in others decay. \\ \hline
feature attention & shadowing tasks, we can distinguish two mixed texts by
focusing our attention on cues such as type style \\
\hline
\end{tabular}
\caption{Types of attention}
\label{table:types-attention}
\end{table}
There are two orienting mechanisms: \textbf{exogenous or reflexive} and
\textbf{endogenous or voluntary}. Table \ref{table:orienting-mechanisms} list
the main differences between them.
\begin{table}
\begin{tabular}{ p{8cm} | p{8cm} }
\hline
exogenous & endogenous \\ \hline
\hline
peripheral cues & central cues (e.g, arrows) \\ \hline
fast (~ 100 ms) & slow (~ 300 ms) \\ \hline
occurs even with uninformative cues & occurs only with informative cues \\
\hline
\end{tabular}
\caption{Two orienting mechanisms}
\label{table:orienting-mechanisms}
\end{table}
\paragraph{Broadbent's filter theory - early selection}
Broadbent~(1958) argued that information from all of the stimuli presented at
any given time enters a sensory buffer. One of the inputs is then selected on
the basis of its physical characteristics for further processing by being
allowed to pass through a filter, all the others are lost. Broadbent assumed
that the filter rejects the shadowed or unattended message at an early stage of
processing. It takes time to shift attention.
\paragraph{Deutsch and Deutsch theory - late selection}
All information get through but attention filters only act after meaning is
analysed, for example, each ear receives a different message and it is asked to
the participant to say the message. The message can be recovered if it is the
only thing with meaning.
\paragraph{Treisman's theory - attenuation}
Physical characteristics are used to select one information for full processing
but other messages are given partial processing.
Early or late experiments: Treisman and Geffen~(1967) tested whether the filter
was early or late in the processing stream. They had subjects shadowing a
message on one ear, and tap whenever they heard a certain word in either ear.
When the key word appeared in the attended ear, subjects tapped 87\% of the
time, and when the key word appeared in the unattended ear, subjects tapped 8\%
of the time. This indicates that early selection is occurring.
A lot of simple experiments can be made to evaluate attention, for instance,
pop out. It is easy to ``find'' elements based on one feature. Adding more
features (conjunction) will make it longer to find elements.
\textbf{Pop out experiments can prove sinestesia because one can use one
specific feature such as color, to find elements easily}. The more popout, more
late selection (selection after meaning). Popout can be trained!
\begin{figure}[h]
\centering
\includegraphics[width=0.5\textwidth]{imgs/early-late-selection.png}
\caption{Different models of selection in attention}
\label{fig:early-late-selection}
\end{figure}
\paragraph{Another definition of attention}
Attention is what enables us to process information about the world around us.
We can only be aware of things around us if we pay attention to them.
\textbf{Preattentive} processes help us to decide what to pay attention to and
what to filter out and ignore.
\begin{figure}[h]
\centering
\includegraphics[width=0.5\textwidth]{imgs/attention.png}
\caption{A definition of attention by exclusion}
\label{fig:attention}
\end{figure}
\paragraph{Effects in early visual cortex}
Desimone experiments. MTA~(medial temporal area) $\rightarrow$ prefered
direction of motion $\uparrow$. Attention is like a weight to fire particular
neurons.
\paragraph{Selective and divided attention}
Attention is studied by presenting participants with two or more stimuli at the
same time, this is called dual-task performance. In selective (focused)
attention tasks, people are instructed to respond to one input only. In divided
attention tasks, people are asked to process and respond to more than one input.
\paragraph{Gorila video:} innatentional blindness
%%---------------------------------------------------------------------------%%
\newpage
\subsection{Decision Making - 06.03.2017}
Two main activities for decision making: \textbf{valuation} and \textbf{action
selection}.
Valuation: what is the value of each action. Action selection: choose action
based on valuations.
What do we know about how the brain computes stimulus values at the time of
decision-making? Recent meta-analyses: Positive effects of stimulus values on
BOLD are higher than negative effects. Also, decision $>$ outcome.
What brain areas encode the stimulus value computation in simple choices between
primary rewards (e.g., foods)? Use of Becker-DeGroot-Marshack~(BDM) auctions to
measure goal values. Critical to have a real-time and incentive compatible
measure of goal values.
\paragraph{Experimental design - aversive value}
\begin{figure}[h]
\centering
\includegraphics[width=0.7\textwidth]{imgs/experimental-design.png}
\caption{Experimental design - free bid and forced bid trials}
\label{fig:experimental-design}
\end{figure}
Subjects were instructed to eat at most 2h before the experiment to decrease
the attractiveness of the foods. During the informed consent period, subjects
agreed to eat whatever food item they would eventually have to eat as
determined by the auction mechanism described below.
Subjects were instructed that they would have to remain in the laboratory for
30 min at the conclusion of the experiment and that they will have to eat
whatever food was shown on a randomly selected trial unless they purchased the
right not to do so. In addition to a \$50/h participation fee, each subject
received three \$1 bills in ``spending money'' to place bids to purchase the
right to avoid eating disliked food items.
Whatever money they did not spend was theirs to keep. Subjects placed bids for
the right to avoid eating particular foods in 100 different bidding trials.
In each trial, they were allowed to bid \$0, \$1, \$2, or \$3. At the end of
the experiment, one of those trials was randomly selected, by drawing a ball
from an urn, and only the outcome of that trial was implemented.
As a result, subjects did not have to worry about spreading their \$3 budget
over the different items and they could treat each trial as if it were the only
decision that counted.
The rules of the auction were as follows. Let \textit{b} denote the bid made by
the subject for a particular item. After the bid is made, a random number
\textit{n} was drawn from a known distribution (in our case, \$0, \$1, \$2, and
\$3 were chosen with equal probability). If $b \geq n$, the subject did not
have to eat the item and paid a price equal to \textit{n}. In contrast, if $b <
n$, the subject had to eat the entire portion of the food shown but also did
not have to pay anything.
There is no incentive to bid less than the wilingness-to-pay~(WTP) since the
price paid is determined by the random number \textit{n}, and thus the bids do
not affect the price paid.
There is also no incentive to increase the bid above the WTP since this may
lead to a situation in which the subject avoids having to eat the item but ends
up paying a price larger than his WTP (e.g., consider the case of $WTP = \$1$,
$b = \$3$, and $n = \$2$). Since bidding the exact WTP is the best strategy,
the bids provide a good measure of the aversive goal value computed by the
brain for every subject and item at the time of decision making. Thus, we could
use the bids as a behavioral measure of aversive goal value to correlate with
the blood oxygen level-dependent (BOLD) signal on a trial-by-trial basis. As a
result, any area that encodes for goal values in free, but not in forced
trials, is a good candidate for the goal value computation.
\subparagraph{Free bid trials vs forced bid trials}
A key difference between the two types of trials is that, whereas subjects were
free to select the amount of their bid in the free trials, they were told how
much to bid in the forced trials. The forced bids were drawn uniformly and
independently from \$0, \$1, \$2, \$3 on each trial. As a result, subjects need
to make an aversive goal value computation in free trials to decide how much to
bid, but they do not necessarily need to do so in forced trials.
vmPFC and dlPFC encode for WTP in free trials, but not in forced trials.
\subsubsection{Valuation}
\paragraph{Appetitive and aversive value}
Which brain areas encode for aversive goal values?
Are these the same areas that encode for appetitive goal values?
Yes, in experiments of appetitive and aversive values the same areas were
highlited with a small shift between appetitive and aversive computations.
Robustness to non-primary rewards and more complex decision problems: Is the
ventral medium pre frontal cortex~(vmPFC) a common area of stimulus valuation
across decision problems?
\paragraph{Multivoxel pattern analysis} PFC, LPFC, Parietal region
\paragraph{Deciding for self vs others}
vmPFC reflects the values you would assign when choosing for yourself.
vmPFC reflects the values you have learned, another area would assign the
values when choosing for others. The values computed are those that are
appropriate for the situation. dlPFC encoding reflects the values you assign
when choosing for others.
\paragraph{Model}
I'm not choosing for me but I'm still modeling. What I would choose for me?
There are some areas on the brain that are not core for the type of the test but
still may be part of the decision.
\subparagraph{How much people like chocolate after each square?}
The value decreases.
vmPFC and vStr are among the most consistently found regions in human
neuroimaging studies, however, value representations are not limited to these
regions.
\subsubsection{Action selection}
All costs are not created equal.
\paragraph{comparison:} costs x bemefits
\subparagraph{delay costs}
\subparagraph{effort costs}
Orbital Frontal Cortex~(OFC) lesions decrease willingness-to-wait. Anterior
Cingulate Cortex~(ACC) lesions decrease willingness to expend physical effort.
These experiments highlight both the power and complexity of using the lesion
method to examine brain function. Clear dissociation between ACC and OFC
lesions. Interactions between lesions and experience.
dmPFC/ACC, dlPFC, and IPS activity is consistent with regions implementing a
value comparison process. These regions are functionally connected with value
computation areas such as vmPFC and these regions modulate motor output in
favor of the selected action.
There is growing evidence that the brain makes goal-directed choices using a
process of valuation-action selection (Figure~\ref{fig:decision-making}).
\begin{figure}
\centering
\includegraphics[width=0.5\textwidth]{imgs/value-based-decision-making.png}
\caption{Value based decision making process}
\label{fig:decision-making}
\end{figure}
\subsubsection{Learning and perception in decision making}
We can think in many types of decisions: figuring out the number of an
approaching tram, or deciding what to eat in a new restaurant, or trading in
the stock market, or even playing poker.
\paragraph{Decision}
Make a decision is related with learning: depends of what you have learned.
The value of an decision (as in food) is not purely sensory or motor.
Reward system is divided in three parts:
\begin{itemize}
\item planning, judgment: prefrontal cortex and frontal cortex
\item reward: nucleus accumbens, medial forebrain bundle and ventral tegmental
area.
\item emotions, conditioned effects: amygdala
\end{itemize}
\paragraph{What is learned and how?}
What: Focus on value representations (aversive, appetitive)
How: Learning rules (rescorla-wagner, temporal difference learning rule)
\paragraph{Consequence of learning: long term memory}
Implicit memory as associative learning: classical and operant conditioning
with emotional responses in amygdala.