Neural Networks

Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity NeurIPS 2016 Enforcing balance allows local supervised learning in spiking recurrent networks NeurIPS 2015 Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NeurIPS 2015 Analog Memories in a Balanced Rate-Based Network of E-I Neurons NeurIPS 2014 Feedforward Learning of Mixture Models NeurIPS 2014 Restricted Boltzmann machines modeling human choice NeurIPS 2014 Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NeurIPS 2014 Capacity of strong attractor patterns to model behavioural and cognitive prototypes NeurIPS 2013 Compete to Compute NeurIPS 2013 Convex Two-Layer Modeling NeurIPS 2013 Firing rate predictions in optimal balanced networks NeurIPS 2013 Learning to Pass Expectation Propagation Messages NeurIPS 2013 Recurrent networks of coupled Winner-Take-All oscillators for solving constraint satisfaction problems NeurIPS 2013 Analog readout for optical reservoir computers NeurIPS 2012 Delay Compensation with Dynamical Synapses NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA NeurIPS 2012 Perceptron Learning of SAT NeurIPS 2012 Spiking and saturating dendrites differentially expand single neuron computation capacity NeurIPS 2012 Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NeurIPS 2012 A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NeurIPS 2011 Active dendrites: adaptation to spike-based communication NeurIPS 2011 Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits NeurIPS 2011 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011