From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation Preprint accepted for publication in Neural Networksdoi: j.neunetAndrea Soltoggioa, Kenneth O

First Page		Document Content
Date: 2012-07-05 22:51:04 Neuroscience Computational neuroscience Neural networks Neurophysiology Artificial neural networks Hebbian theory Synaptic weight Chemical synapse Synaptic plasticity Biological neural network Biological neuron model Spike-timing-dependent plasticity		From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation Preprint accepted for publication in Neural Networksdoi: j.neunetAndrea Soltoggioa, Kenneth O Add to Reading List Source URL: eplex.cs.ucf.edu Download Document from Source Website File Size: 1,01 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