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Artificial neuron
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11	ORIGINAL RESEARCH ARTICLE published: 21 May 2010 doi: fnbotNEUROROBOTICS Add to Reading List Source URL: roboticsschool.ini.rub.de Language: English - Date: 2012-05-10 11:21:51 Cognitive science Nervous system Cognition Motor control Neuroscience Robotics Artificial intelligence Motor cognition Neurorobotics Humanrobot interaction Artificial neural network Mirror neuron
12	Predictive Coding of Dynamical Variables in Balanced Spiking Networks Martin Boerlin1, Christian K. Machens2, Sophie Dene`ve1* 1 Group for Neural Theory, De´partement d’E´tudes Cognitives, E´cole Normale Supe´rieur Add to Reading List Source URL: www.machenslab.org Language: English - Date: 2014-06-04 11:04:44 Neuroscience Computational neuroscience Nervous system Neural networks Biology Artificial neural networks Neural coding Neuron Synaptic weight Spiking neural network Biological neural network Action potential
13	Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:13 Computational neuroscience Neuroscience Nervous system Artificial neural networks Statistics Multivariate statistics Biophysics Biological neuron model Principal component analysis Artificial neuron Spike-timing-dependent plasticity Hebbian theory
14	SPECIAL SESSIONSpecial Session 43: Stochastic Networks with Applications to Neuroscience Add to Reading List Source URL: www.aimsciences.org Language: English - Date: 2012-06-23 07:34:46 Neuroscience Nervous system Computational neuroscience Biology Artificial neural networks Neural networks NEST Hopfield network Biological neural network Neural coding Bursting Neuron
15	Inferring neural population dynamics from multiple partial recordings of the same neural circuit Srinivas C. Turaga∗1,2 , Lars Buesing1 , Adam M. Packer2 , Henry Dalgleish2 , Noah Pettit2 , Michael H¨ausser2 and Jakob Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:45 Neuroscience Nervous system Computational neuroscience Cognitive neuroscience Neural networks Neurobiology Artificial neural network Neuron Neural ensemble Neuroglia Neural decoding Neural coding
16	Annual Meeting of the Cognitive Science Society, 2012, Workshop on Teleoperated Androids What can the Brain Tell us about Interactions with Artificial Agents and Vice Versa? Ayse Pinar Saygin () De Add to Reading List Source URL: sayginlab.ucsd.edu Language: English - Date: 2013-06-30 19:56:04 Neuroscience Cognitive science Nervous system Android Fear Cognitive neuroscience Artificial intelligence Uncanny valley Android science Humanrobot interaction Mirror neuron Actroid
17	Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons Lars Buesing¤, Johannes Bill, Bernhard Nessler, Wolfgang Maass Institute for Theoretical Computer Science, Graz U Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English* - Date: 2014-10-13 19:51:17 Neuroscience Computational neuroscience Nervous system Biology Artificial neural network Biological neuron model Spiking neural network Neural oscillation Gibbs sampling Action potential Neuron Stochastic process
18	Perceptrons Informatics 1 CG: Lecture 5 Reading: Mirella Lapata Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-21 10:51:51 Artificial neural networks Neuroscience Cybernetics Applied mathematics Perceptron Multilayer perceptron Connectionism Artificial neuron Frank Rosenblatt Activation function Biological neural network Feedforward neural network
19	Multilayer Perceptrons and Backpropagation Informatics 1 CG: Lecture 6 Mirella Lapata School of Informatics University of Edinburgh Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-31 15:41:31 Artificial neural networks Multilayer perceptron Feedforward neural network Perceptron Backpropagation Artificial neuron Activation function Connectionism Extreme learning machine Convolutional neural network
20	Artificial Neural Networks Martin Anthony Abstract ‘Artificial neural networks’ are machines (or models of computation) based loosely on the ways in which the brain is believed to work. In this chapter, we discuss so Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:18:14 Artificial neural networks Feedforward neural network Perceptron Boltzmann machine Backpropagation Supervised learning Artificial neuron Restricted Boltzmann machine Deep learning