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Date: 2011-05-12 09:25:10Computational statistics Cybernetics Science Neuroscience Artificial neural network Spiking neural network Reinforcement learning Spike-timing-dependent plasticity Backpropagation Neural networks Machine learning Computational neuroscience | Call for Participation: Beyond correlations: Developments in supervised learning algorithms for spiking neural networks Workshop at ICANN 2011, Helsinki, ,Add to Reading ListSource URL: www.cis.hut.fiDownload Document from Source WebsiteFile Size: 82,07 KBShare Document on Facebook |
MIT Saxelab Research Partnership In order to establish robust tools that can measure the educational impact of virtual exchange, the Saxelab Social Cognitive Neuroscience Laboratory at MIT is engaged in a multi-year iterDocID: 1xUyJ - View Document | |
11674 • The Journal of Neuroscience, August 19, 2015 • 35(33):11674 –Behavioral/Cognitive “Visual” Cortex Responds to Spoken Language in Blind ChildrenDocID: 1xUnf - View Document | |
What neuroscience can reveal about cognition and its origins Skerry, A.E. and Saxe, RCognitive scientists have long been concerned with the origins of human knowledge. Over the last several decades, researcheDocID: 1xT6i - View Document | |
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