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

Source URL: eplex.cs.ucf.edu

• 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

First Result of Simulating Traffic Behaviours Using Distributed Adaptive Control Ming LU Kay W. Axhausen Junlong LI IVT, ETH Zurich

Source URL: www.strc.ch

• Transport
• Land transport
• Road traffic management
• Road transport
• Computational neuroscience
• Artificial neural networks
• Road safety
• PTV VISSIM
• Traffic
• Simulation
• Unsupervised learning
• Competitive learning

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

Source URL: www.cstr.ed.ac.uk

• Artificial neural networks
• Machine learning
• Computational neuroscience
• Applied mathematics
• Artificial intelligence
• Computational statistics
• Automatic identification and data capture
• Computer accessibility
• Speech recognition
• Language model
• Convolutional neural network
• Perceptron

On the number of response regions of deep feedforward networks with piecewise linear activations arXiv:1312.6098v5 [cs.LG] 14 Feb 2014

Source URL: arxiv.org

• Artificial neural networks
• Mathematics
• Geometry
• Applied mathematics
• Arrangement of hyperplanes
• Rectifier
• Multilayer perceptron
• Artificial neuron
• Activation function
• Perceptron
• Deep learning
• Hyperplane

Learning long-term dependencies with gradient descent is difficult - Neural Networks, IEEE Transactions on

Source URL: www-dsi.ing.unifi.it

Journal of Statistical Physics  2277 Journal of Statistical Physics, Vol. 94, Nos. 56, 1999 Neural Networks in Which Synaptic Patterns Fluctuate with Time J. Marro, 1 J. J. Torres, 1, 2 and P. L. Garrido 1

Source URL: ergodic.ugr.es

2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) NEURAL NETWORKS FOR SUPERVISED PITCH TRACKING IN NOISE Kun Han and DeLiang Wang Department of Computer Science and Engineering & Cent

Source URL: web.cse.ohio-state.edu

DURATION MODELLING IN VOICE CONVERSION USING ARTIFICIAL NEURAL NETWORKS Ronanki Srikanth, Bajibabu B, Kishore Prahallad International Institute of Information Technology - Hyderabad, India ABSTRACT Voice conversion aims

Source URL: ravi.iiit.ac.in

Neural Variational Inference and Learning in Belief Networks Andriy Mnih Karol Gregor Google DeepMind

Source URL: www.cs.toronto.edu

An introduction to neural networks An introduction to neural networks Kevin Gurney University of Sheffield

Source URL: www.inf.ed.ac.uk