Skip to content

Latest commit

 

History

History
9 lines (7 loc) · 672 Bytes

File metadata and controls

9 lines (7 loc) · 672 Bytes

Spike frequency adaptation supports network computations on temporally dispersed information

This repository provides a tensorflow library and a tutorial to train a recurrent spiking neural network of LIF neurons with SFA (sometimes also referred to as ALIF neurons, neurons with adaptive threshold). The adaptation is implemented as adaptive threshold. The scripts contained reproduce many results from the paper [1].

[1] Spike frequency adaptation supports network computations on temporally dispersed information
Darjan Salaj, Anand Subramoney, Ceca Kraišniković, Guillaume Bellec, Robert Legenstein, Wolfgang Maass