Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity Bernhard Nessler1*, Michael Pfeiffer1,2, Lars Buesing1, Wolfgang Maass1 1 Institute for Theoretical Computer Scienc

First Page		Document Content
Date: 2014-10-13 19:51:18 Neuroscience Nervous system Biology Computational neuroscience Neural networks Neurophysiology Spike-timing-dependent plasticity Biological neuron model Neural coding Hebbian theory Neuron Neural oscillation		Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity Bernhard Nessler1*, Michael Pfeiffer1,2, Lars Buesing1, Wolfgang Maass1 1 Institute for Theoretical Computer Scienc Add to Reading List Source URL: www.gatsby.ucl.ac.uk Download Document from Source Website File Size: 1,67 MB Share Document on Facebook

	4.2 Neuromorphic Architectures for Spiking Deep Neural Networks DocID: 1rmcl - View Document
	LETTER Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity DocID: 1rhHL - View Document
	(Hrsg.): , Lecture Notes in Informatics (LNI), Gesellschaft f¨ur Informatik, Bonn 1 NESTML: a modeling language for spiking neurons Dimitri Plotnikov1, Bernhard Rumpe1 , Ing DocID: 1reZY - View Document
	Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science DocID: 1qLpp - View Document
	REVIEWS The honeybee as a model for understanding the basis of cognition Randolf Menzel DocID: 1qz0L - View Document