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Computational neuroscience
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#	Item
291	Rectified Factor Networks Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2015-12-03 06:11:45 Computational statistics Machine learning Computational biology Sepp Hochreiter Artificial neural networks Computational neuroscience Deep learning Autoencoder Principal component analysis Normal distribution Stochastic gradient descent Support vector machine
292	Neural Dynamics approaches to Cognitive Robotics Gregor Sch¨oner, September 2011 Exercise: Instabilities in Dynamic Fields The neural field dynamics of Amari are based on this equation: τu u(x, ˙ t) = −u(x, t) + hu Add to Reading List Source URL: roboticsschool.ini.rub.de Language: English - Date: 2012-05-10 11:23:13 Computational neuroscience Neuroscience
293	LETTER Communicated by Surya Ganguli Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 19:51:12 Dynamical systems Functional analysis Mathematical physics Statistical mechanics Computational neuroscience Lyapunov exponent Boolean network Artificial neural network Chaos theory Perturbation theory
294	ISSUE 8 Spring 2011 Facts about the BRAIN: T h e ne ws l et t er o f th e Add to Reading List Source URL: www.cnlm.uci.edu Language: English - Date: 2015-01-18 19:50:38 American psychologists Computational neuroscience Dendritic spine Neurons Center for the Neurobiology of Learning and Memory Memory Elizabeth Loftus Long-term memory Neuroscience James McGaugh
295	Informatics 1 Cognitive Science (2014–2015) School of Informatics, University of Edinburgh Mirella Lapata Quiz 2: Perceptrons and Multilayer Perceptrons 1. Which one of the following is the perceptron’s input functio Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-11 08:43:44 Artificial neural networks Functions and mappings Computational neuroscience Multilayer perceptron Perceptron Function Connectionism Graph of a function Computable function Feedforward neural network
296	Torchnet: An Open-Source Platform for (Deep) Learning Research Ronan Collobert LOCRONAN @ FB . COM Laurens van der Maaten LVDMAATEN @ FB . COM Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2016-07-16 15:30:43 Computational neuroscience Machine learning Artificial neural networks Computer vision Convolutional neural network Computational statistics Deep learning MNIST database Torch Feature learning Iterator Database
297	Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Estimation theory Regression analysis Statistical models Bayesian statistics Econometrics Maximum likelihood estimation Expectationmaximization algorithm Variational Bayesian methods Linear regression Autoregressive model Variance function Mixture model
298	Structured Output Layer with Auxiliary Targets for Context-Dependent Acoustic Modelling Pawel Swietojanski, Peter Bell, Steve Renals The Centre for Speech Technology Research, University of Edinburgh, United Kingdom {p.s Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Artificial neural networks Computational neuroscience Computational statistics Automatic identification and data capture Computer accessibility Speech recognition Language model Convolutional neural network Perceptron Recurrent neural network Machine learning Deep learning
299	Multi-scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation∗ Shu Liu† Xiaojuan Qi† Jianping Shi♭ † Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English - Date: 2016-04-11 07:00:54 Computational neuroscience Image processing Feature detection Image segmentation Conference on Computer Vision and Pattern Recognition Convolutional neural network Memory segmentation Artificial neural network Computer vision Outline of object recognition Convolution
300	Informatics 1 Cognitive Science (2015–2016) School of Informatics, University of Edinburgh Mirella Lapata Quiz 2: Perceptrons and Multilayer Perceptrons 1. Which one of the following is the perceptron’s input functio Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-11 08:41:30 Artificial neural networks Computational neuroscience Multilayer perceptron Perceptron Connectionism Function Backpropagation Feedforward neural network

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