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

[Wulfram Gerstner]

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
http://diwww.epfl.ch/~gerstner/wg_pub.html


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