[Comp-neuro] Plasticity, STDP, Hebb and BCM - paper announcement

Wulfram Gerstner Wulfram.Gerstner at epfl.ch
Mon Sep 25 16:17:34 CEST 2006

New papers and preprints,

over many years, Hebbian Plasticity and Spike-Timing-Dependent 
Plasticity  have fascinated researchers in the field.
We have looked at this topic again
and gained some additional insight
asking the following questions:

- Is there a minimal model of STDP that would be sufficient to account
for a large body of experimental results? --> paper [1]

- Is there an optimal method of reinforcing `good' combinations of
pre-and postsynaptic spike trains? --> paper  [2]

- Can unsupervised learning rules, in particular STDP,
  be derived from optimality principles? ---> papers [3] and [4]

- What are requirements for a `good' plasticity rule? ---> paper [4]

[1] Jean-Pascal Pfister and W. Gerstner (2006)
Triplets of Spikes in a Model of Spike Timing-Dependent Plasticity
J. Neurosci., 26: 9673 - 9682

[2] J.-P. Pfister, T. Toyoizumi, D. Barber, and W. Gerstner (2006)
Optimal Spike-Timing Dependent Plasticity for Precise Action Potential 
Firing in supervised learning
Neural Computation 18:1309-1339

[3] T. Toyoizumi, J.-P. Pfister, K. Aihara, and W. Gerstner (2005)
Generalized Bienenstock-Cooper-Munro rule for spiking neurons that 
maximizes information transmission
Proc. Natl. Acad. Sci. USA, 102:5239-5244

[4]  T. Toyoizumi, J.-P. Pfister, K. Aihara, and W. Gerstner (2006)
Optimality Model of Unsupervised Spike-Timing Dependent Plasticity: 
Synaptic Memory and Weight Distribution
Neural Computation, to appear.

All papers are available on

Best regards

Wulfram Gerstner

Wulfram Gerstner   		  EPFL
Professor                         Lab. of Computational Neuroscience, LCN
wulfram.gerstner at epfl.ch 	Batiment AA-B	
Tel. +41-21-693 6713        	1015 Lausanne EPFL
Fax. +41-21-693 9600       	http://diwww.epfl.ch/mantra

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