Concept

Plasticité fonction du temps d'occurrence des impulsions

Publications associées (256)

Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing in Supervised Learing

In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient ascent the likelihood of postsynaptic firing at one or sever ...

IDIAP2005

Generalized Bienenstock-Cooper-Munro rule for spiking neurons that maximizes information transmission

Wulfram Gerstner, Jean-Pascal Théodor Pfister, Taro Toyoizumi

Maximization of information transmission by a spiking-neuron model predicts changes of synaptic connections that depend on timing of pre- and postsynaptic spikes and on the postsynaptic membrane potential. Under the assumption of Poisson firing statistics, ...

2005

Spike-timing Dependent Plasticity and Mutual Information Maximization for a Spiking Neuron Model

Wulfram Gerstner, Jean-Pascal Théodor Pfister, Taro Toyoizumi

We derive an optimal learning rule in the sense of mutual information maximization for a spiking neuron model. Under the assumption of small fluctuations of the input, we find a spike-timing dependent plasticity (STDP) function which depends on the time co ...

MIT Press2005

Dynamics of olfactory learning-induced up-regulation of L1 in the piriform cortex and hippocampus

Maria del Carmen Sandi Perez

L1 is a cell adhesion molecule implicated in the formation of neural circuits and synaptic plasticity. We have examined the sequence and time-frame in which modifications in the synaptic expression of L1 occur in the piriform cortex and hippocampus in the ...

2005

Olfactory learning-related NCAM expression is state, time, and location specific and is correlated with individual learning capabilities

Maria del Carmen Sandi Perez

The notion that long-term synaptic plasticity is generated by activity-induced molecular modifications is widely accepted. It is well established that neural cell adhesion molecule (NCAM) is one of the prominent modulators of synaptic plasticity. NCAM can ...

2005

Drivers of brain plasticity

Friedhelm Christoph Hummel

Neural plasticity represents a crucial mechanism of the human brain to adapt to environmental changes in the developing and adult human central nervous system. This property of the central nervous system contributes to learning and functional recovery from ...

Lippincott, Williams & Wilkins2005

Synaptic plasticity at the cerebellum input stage: mechanisms and functional implications

The mf-GrC relay provides the case of a synapse at which elementary neurotransmission mechanisms are particularly well understood allowing a precise investigation of synaptic plasticity. An interesting consequence is that a presynaptic mechanism of LTP cou ...

2005

Stress suppresses and learning induces plasticity in CA3 of rat hippocampus: a three-dimensional ultrastructural study of thorny excrescences and their postsynaptic densities

Maria del Carmen Sandi Perez, Maria Isabel Cordero Campana

Chronic stress and spatial training have been proposed to affect hippocampal structure and function in opposite ways. Previous morphological studies that addressed structural changes after chronic restraint stress and spatial training were based on two-dim ...

2005

Synaptic pathways in neural microcircuits

Henry Markram, Gilad Silberberg

The functions performed by different neural microcircuits depend on the anatomical and physiological properties of the various synaptic pathways connecting neurons. Neural microcircuits across various species and brain regions are similar in terms of their ...

2005

A method for determining neural connectivity and inferring the underlying network dynamics using extracellular spike recordings

Oscar De Feo

In the present paper we propose a novel method for the identification and modeling of neural networks using extracellular spike recordings. We create a deterministic model of the effective network, whose dynamic behavior fits experimental data. The network ...

2005

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