
	Where results make sense

Topic: Spike timing dependent plasticity

Related Topics

Half Time

Bob Budiansky

WCTM

Douglass Township, Michigan

List of religious leaders in 2004

Prince Alexandros Ypsilantis

In the News (Sat 14 Nov 09)

Northern Trust

Marvin Harrison

Peter Chernin

Gary Locke

Match Play

Penelope Cruz

Mickey Rourke

AR Rahman

Danny Boyle

Hugh Jackman

	Institute for Theoretical Computer Science: Publications
		Input prediction and autonomous movement analysis in recurrent circuits of spiking neurons.
		Spiking neurons and the induction of finite state machines.
		Noisy spiking neurons with temporal coding have more computational power than sigmoidal neurons.
	www.igi.tugraz.at /IGI-Publications.html (4819 words)

	Larry Abbott (Site not responding. Last check: 2007-10-23)
		Billimoria, C.P., DiCaprio, R.A., Birmingham, J.T., Abbott, L.F. and Marder, E. (2006) Neuromodulation of spike timing precision in sensory neurons.
		Abbott, L.F. and Nelson, S.B. (2000) Synaptic Plasticity: Taming the Beast.
		Van Vreeswijk, C. and Abbott, L.F. (1993) The Effect of Synaptic Time Constants on Firing Patterns in Populations of Spiking Neurons.
	www.neurotheory.columbia.edu /~larry (3889 words)

	Rajesh Rao's Home Page
		My students and I are investigating these questions using a combination of probabilistic techniques, computer simulations, and collaborative neurobiological experiments.
		Such an interdisciplinary approach has provided functional interpretations of several otherwise puzzling neurobiological properties while at the same time suggesting biologically-inspired solutions to problems in computer vision, robotics and artificial intelligence.
		Reliability of Spike Timing in Cortical Neurons (J.
	www.cs.washington.edu /homes/rao (1121 words)

	Recent Publications of Michael C. Mozer (Site not responding. Last check: 2007-10-23)
		Bohte, S., and Mozer, M. Reducing the variability of neural responses: A computational theory of spike-timing dependent plasticity.
		Mozer, M. C., Kinoshita, S., and Shettel, M. Sequential dependencies offer insight into cognitive control.
		Hochreiter, S., and Mozer, M. A discrete probabilistic memory model for discovering dependencies in time.
	www.cs.colorado.edu /~mozer/papers (1337 words)

	CNL : Publication Search: Type=Book Chapter (Site not responding. Last check: 2007-10-23)
		Rao, R. Sejnowski, T. ; Predictive Coding, Cortical Feedback, and Spike-Timing Dependent Plasticity Rao, R. Olshausen, B. Lewicki, M. ; (Eds.), In: Probabilistic Models of the Brain: Perception and Neural Function, Perception and Neural Function, MIT Press, Cambridge, MA 297-315, 2002 (PDF)
		Terrence Sejnowski; Chattarji, S. Stanton, P. ; Induction of Synaptic Plasticity by Hebbian Covariance in the Hippocampus.
		Sejnowski, T. Tesauro, G. ; The Hebb Rule for Synaptic Plasticity: Algorithms and Implementations Byrne, J. Berry, W. ; (Eds.), In: Neural Models of Plasticity, New York: Academic Press, 94-103, 1988 (PDF)
	papers.cnl.salk.edu /index.php?SearchText=Type=Book%20Chapter (3163 words)

	Center for BioDynamics
		Rotstein H., Oppermann T., White J. and Kopell N., "A reduced model for medial entorhinal cortex stellate cell: subthreshold oscillations, spiking and synchronization", submitted (2006), preprint
		Rotstein H.G., Oppermann T., White J.A., and Kopell N. "The dynamic structure underlying subthreshold oscillatory activity and the onset of spikes in a model of medial entorhinal cortex stellate cells.", Journal of Computational Neuroscience.
		Gorchetchnikov, A., Versace, M. and Hasselmo, M.E. "A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay.", Neural Networks 18(5-6):458-66 (2005)
	cbd.bu.edu /publ/publ.html (3575 words)

Try your search on: Qwika (all wikis)