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Neuroscience

346 papers

Papers per year

25
4
26
12
'10
'15
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'25

Papers

Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons NIPS 2011
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach NIPS 2011
Dynamical segmentation of single trials from population neural data NIPS 2011
Neural Reconstruction with Approximate Message Passing (NeuRAMP) NIPS 2011
Inferring spike-timing-dependent plasticity from spike train data NIPS 2011
Bayesian Spike-Triggered Covariance Analysis NIPS 2011
Sequence learning with hidden units in spiking neural networks NIPS 2011
From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models NIPS 2011
Information Rates and Optimal Decoding in Large Neural Populations NIPS 2011
Active dendrites: adaptation to spike-based communication NIPS 2011
A blind sparse deconvolution method for neural spike identification NIPS 2011
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity NIPS 2011
Demixed Principal Component Analysis NIPS 2011
Estimating time-varying input signals and ion channel states from a single voltage trace of a neuron NIPS 2011
How biased are maximum entropy models? NIPS 2011
Linear readout from a neural population with partial correlation data NIPS 2010
Evaluating neuronal codes for inference using Fisher information NIPS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates NIPS 2010
Short-term memory in neuronal networks through dynamical compressed sensing NIPS 2010
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics NIPS 2010
A VLSI Implementation of the Adaptive Exponential Integrate-and-Fire Neuron Model NIPS 2010
Fractionally Predictive Spiking Neurons NIPS 2010
Identifying Dendritic Processing NIPS 2010
Functional Geometry Alignment and Localization of Brain Areas NIPS 2010
Over-complete representations on recurrent neural networks can support persistent percepts NIPS 2010