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consistent spelling in documentation, fix spelling
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clinssen committed Oct 9, 2020
1 parent fae98cc commit d94d76c
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2 changes: 1 addition & 1 deletion doc/models_library/iaf_psc_exp.rst
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Expand Up @@ -8,7 +8,7 @@ Description
+++++++++++

iaf_psc_exp is an implementation of a leaky integrate-and-fire model
with exponential kernel postsynaptic currents (PSCs) according to [1]_.
with exponential-kernel postsynaptic currents (PSCs) according to [1]_.
Thus, postsynaptic currents have an infinitely short rise time.

The threshold crossing is followed by an absolute refractory period (t_ref)
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2 changes: 1 addition & 1 deletion doc/models_library/iaf_psc_exp_htum.rst
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Expand Up @@ -8,7 +8,7 @@ Description
+++++++++++

iaf_psc_exp_htum is an implementation of a leaky integrate-and-fire model
with exponential kernel postsynaptic currents (PSCs) according to [1]_.
with exponential-kernel postsynaptic currents (PSCs) according to [1]_.
The postsynaptic currents have an infinitely short rise time.
In particular, this model allows setting an absolute and relative
refractory time separately, as required by [1]_.
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2 changes: 1 addition & 1 deletion doc/models_library/mat2_psc_exp.rst
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Expand Up @@ -8,7 +8,7 @@ Description
+++++++++++

mat2_psc_exp is an implementation of a leaky integrate-and-fire model
with exponential kernel postsynaptic currents (PSCs). Thus, postsynaptic
with exponential-kernel postsynaptic currents (PSCs). Thus, postsynaptic
currents have an infinitely short rise time.

The threshold is lifted when the neuron is fired and then decreases in a
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2 changes: 1 addition & 1 deletion doc/nestml_language.rst
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Expand Up @@ -742,7 +742,7 @@ If there is more than one line specifying a `spike` or `current` port with the s
spikes3 nS <- spike
end
For the sake of keeping the example simple, we assign a decaying exponential-kernel postsynapic response to each input port, each with a different time constant:
For the sake of keeping the example simple, we assign a decaying exponential-kernel postsynaptic response to each input port, each with a different time constant:

.. code-block:: nestml
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2 changes: 1 addition & 1 deletion models/iaf_psc_exp.nestml
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Expand Up @@ -6,7 +6,7 @@ Description
+++++++++++

iaf_psc_exp is an implementation of a leaky integrate-and-fire model
with exponential kernel postsynaptic currents (PSCs) according to [1]_.
with exponential-kernel postsynaptic currents (PSCs) according to [1]_.
Thus, postsynaptic currents have an infinitely short rise time.

The threshold crossing is followed by an absolute refractory period (t_ref)
Expand Down
2 changes: 1 addition & 1 deletion models/iaf_psc_exp_htum.nestml
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ Description
+++++++++++

iaf_psc_exp_htum is an implementation of a leaky integrate-and-fire model
with exponential kernel postsynaptic currents (PSCs) according to [1]_.
with exponential-kernel postsynaptic currents (PSCs) according to [1]_.
The postsynaptic currents have an infinitely short rise time.
In particular, this model allows setting an absolute and relative
refractory time separately, as required by [1]_.
Expand Down
2 changes: 1 addition & 1 deletion models/mat2_psc_exp.nestml
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ Description
+++++++++++

mat2_psc_exp is an implementation of a leaky integrate-and-fire model
with exponential kernel postsynaptic currents (PSCs). Thus, postsynaptic
with exponential-kernel postsynaptic currents (PSCs). Thus, postsynaptic
currents have an infinitely short rise time.

The threshold is lifted when the neuron is fired and then decreases in a
Expand Down

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