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Neural Networks

136 papers

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Papers

Efficient and direct estimation of a neural subunit model for sensory coding NeurIPS 2012 Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NeurIPS 2012 Learning optimal spike-based representations NeurIPS 2012 Spiking and saturating dendrites differentially expand single neuron computation capacity NeurIPS 2012 Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NeurIPS 2012 Active dendrites: adaptation to spike-based communication NeurIPS 2011 Expressive Power and Approximation Errors of Restricted Boltzmann Machines NeurIPS 2011 Policy Gradient Coagent Networks NeurIPS 2011 Sequence learning with hidden units in spiking neural networks NeurIPS 2011 Shallow vs. Deep Sum-Product Networks NeurIPS 2011 Attractor Dynamics with Synaptic Depression NeurIPS 2010 A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model NeurIPS 2010 Implicit encoding of prior probabilities in optimal neural populations NeurIPS 2010 Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NeurIPS 2010 Over-complete representations on recurrent neural networks can support persistent percepts NeurIPS 2010 Spike timing-dependent plasticity as dynamic filter NeurIPS 2010 A Neural Implementation of the Kalman Filter NeurIPS 2009 Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NeurIPS 2009 Kernel Methods for Deep Learning NeurIPS 2009 Predicting the Optimal Spacing of Study: A Multiscale Context Model of Memory NeurIPS 2009 Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Artificial Olfactory Brain for Mixture Identification NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008