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Spiking Neuron Models: Single Neurons, Populations, Plasticity
TLDR
Spiking Neuron Models: Single Neurons, Populations, Plasticity Wulfram Gerstner and Werner M. Kistler . Expand
Spiking Neuron Models
Note: book Reference LCN-BOOK-2002-001 URL: http://diwww.epfl.ch/~gerstner/BUCH.html Record created on 2006-12-12, modified on 2017-05-12
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity.
TLDR
We introduce a two-dimensional integrate-and-fire model that combines an exponential spike mechanism with an adaptation equation, based on recent theoretical findings, to predict the timing of 96% of the spikes (+/-2 ms) of the detailed model in response to injection of noisy synaptic conductances. Expand
Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity
Classical experiments on spike timing-dependent plasticity (STDP) use a protocol based on pairs of presynaptic and postsynaptic spikes repeated at a given frequency to induce synaptic potentiation orExpand
Neuronal Dynamics: From Single Neurons To Networks And Models Of Cognition
What happens in our brain when we make a decision? What triggers a neuron to send out a signal? What is the neural code? This textbook for advanced undergraduate and beginning graduate studentsExpand
A neuronal learning rule for sub-millisecond temporal coding
TLDR
A PARADOX that exists in auditory and electrosensory neural systems1,2 is that they encode behaviourally relevant signals in the range of a few microseconds with neurons that are at least one order of magnitude slower. Expand
Spiking Neuron Models: An Introduction
Hebbian learning and spiking neurons
A correlation-based ~‘‘Hebbian’’ ! learning rule at a spike level with millisecond resolution is formulated, mathematically analyzed, and compared with learning in a firing-rate description. TheExpand
Connectivity reflects coding: a model of voltage-based STDP with homeostasis
Electrophysiological connectivity patterns in cortex often have a few strong connections, which are sometimes bidirectional, among a lot of weak connections. To explain these connectivity patterns,Expand
Firing patterns in the adaptive exponential integrate-and-fire model
TLDR
We explore the versatility and biological relevance of a simple two-equation model: the adaptive exponential integrate-and-fire neuron for large network simulations. Expand
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