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» Expressive Models for Synaptic Plasticity
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NECO
2007
258views more  NECO 2007»
13 years 6 months ago
Reinforcement Learning Through Modulation of Spike-Timing-Dependent Synaptic Plasticity
The persistent modification of synaptic efficacy as a function of the relative timing of pre- and postsynaptic spikes is a phenomenon known as spiketiming-dependent plasticity (...
Razvan V. Florian
BMCBI
2006
98views more  BMCBI 2006»
13 years 6 months ago
The Secrets of a Functional Synapse - From a Computational and Experimental Viewpoint
Background: Neuronal communication is tightly regulated in time and in space. The neuronal transmission takes place in the nerve terminal, at a specialized structure called the sy...
Michal Linial
BC
2002
90views more  BC 2002»
13 years 6 months ago
What can the hippocampal representation of environmental geometry tell us about Hebbian learning?
The importance of the hippocampus in spatial representation is well established. It is suggested that the rodent hippocampal network should provide an optimal substrate for the stu...
Colin Lever, Neil Burgess, Francesca Cacucci, Tom ...
JCNS
2008
78views more  JCNS 2008»
13 years 5 months ago
A computational study of synaptic mechanisms of partial memory transfer in cerebellar vestibulo-ocular-reflex learning
There is a debate regarding whether motor memory is stored in the cerebellar cortex, or the cerebellar nuclei, or both. Memory may be acquired in the cortex and then be transferred...
Naoki Masuda, Shun-ichi Amari
SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
14 years 8 days ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian