Legenstein, Robert, Pecevski, Dejan, Maass, Wolfgang
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how behaviorally relevant adaptive changes in complex networks of...
Romain Brette, Michelle Rudolph, Ted Carnevale, Michael Hines, David Beeman, James M. Bower, ...
Abstract We review different aspects of the simulation of spiking neural networks. We start by reviewing the different types of simulation strategies and algorithms that are currently implemented. We...
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity (2008)
Robert Legenstein, Dejan Pecevski, Wolfgang Maass
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses support behaviorally...
PyNN: a common interface for neuronal network simulators (2008)
Davison, Andrew P., Brüderle, Daniel, Eppler, Jochen, Kremkow, Jens, Muller, Eilif, Pecevski, Dejan, ...
Computational neuroscience has produced a diversity of software for simulations of networks of spiking neurons, with both negative and positive consequences. On the one hand, each simulator uses its...
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity (2007)
Legenstein, Robert, Pecevski, Dejan, Maass, Wolfgang
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how local learning rules at single synapses support behaviorally...
Legenstein, Robert, Pecevski, Dejan, Maass, Wolfgang
Reward-modulated spike-timing-dependent plasticity (STDP) has recently emerged as a candidate for a learning rule that could explain how behaviorally relevant adaptive changes in complex networks of...
PyNN: A Common Interface for Neuronal Network Simulators
Davison, Andrew P., Brüderle, Daniel, Eppler, Jochen, Kremkow, Jens, Muller, Eilif, Pecevski, Dejan, ...
Computational neuroscience has produced a diversity of software for simulations of networks of spiking neurons, with both negative and positive consequences. On the one hand, each simulator uses its...
PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python
Pecevski, Dejan, Natschläger, Thomas, Schuch, Klaus
The Parallel Circuit SIMulator (PCSIM) is a software package for simulation of neural circuits. It is primarily designed for distributed simulation of large scale networks of spiking point neurons....