Differences

This shows you the differences between two versions of the page.

--- manual:tifgroup [2014/01/13 15:07] – adds link to examples zenke
+++ manual:tifgroup [2017/04/13 16:21] (current) – Fixes broken sentence zenke
@@ Line 1: / Line 1: @@
 ====== The TIFGroup ======
-The TIFGroup is a [[NeuronGroup]] which implements a group of conductance based neurons with exponentially decaying AMPA and GABA conductances. The model has an absolute refractory period and tries to implement the in every aspect to implement the conductance based neuron model used in [[http://www.jneurosci.org/content/25/46/10786.short|Vogels and Abbott (2005)]]. It is used in at least one of our [[examples:sim_coba_benchmark|examples]].
+The TIFGroup is a [[NeuronGroup]] which implements a group of conductance based neurons with exponentially decaying AMPA and GABA conductances. The model has an absolute refractory period and implements the conductance based neuron model used in [[http://www.jneurosci.org/content/25/46/10786.short|Vogels and Abbott (2005)]]. It is used in at least one of our [[examples:sim_coba_benchmark|examples]].
+**Side remark:** In contrast to other neuron models in Auryn like for example the [[IFGroup]] the ''evolve()'' function of the [[TIFGroup]] does not use vector operations, but is implemented in a simple for-loop. In the particular case of absolute refractoriness this allows to save computation time when a neuron is refractory the integration of membrane variables can be skipped.
-In contrast to other neuron models in Auryn like for example the [[IFGroup]] the ''evolve()'' function of the [[TIFGroup]] does not use vector operations, but is implemented in a simple for-loop. In the particular case of absolute refractoriness this allows to save to time in the evolve function. When a neuron is refractory the integration of membrane variables can be skipped.
-TIFGroup implements the problably simples and fastest neuron model that comes with Auryn.