Neuroscience
539 papers
Papers per year
23
31
32
29
31
28
33
33
28
14
15
12
11
16
26
20
28
28
42
38
21
'10
'15
'20
'25
Papers
Learning visual motion in recurrent neural networks
NeurIPS 2012
Multiresolution Gaussian Processes
NeurIPS 2012
Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA
NeurIPS 2012
Neurally Plausible Reinforcement Learning of Working Memory Tasks
NeurIPS 2012
Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter
NeurIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum L_p Loss
NeurIPS 2012
Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study
NeurIPS 2012
Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
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
The topographic unsupervised learning of natural sounds in the auditory cortex
NeurIPS 2012
Towards a learning-theoretic analysis of spike-timing dependent plasticity
NeurIPS 2012
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation
NeurIPS 2012
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination
NeurIPS 2012
Why MCA? Nonlinear sparse coding with spike-and-slab prior for neurally plausible image encoding
NeurIPS 2012
A blind sparse deconvolution method for neural spike identification
NeurIPS 2011
Active dendrites: adaptation to spike-based communication
NeurIPS 2011
Active learning of neural response functions with Gaussian processes
NeurIPS 2011
Anatomically Constrained Decoding of Finger Flexion from Electrocorticographic Signals
NeurIPS 2011
A Reinforcement Learning Theory for Homeostatic Regulation
NeurIPS 2011
Bayesian Spike-Triggered Covariance Analysis
NeurIPS 2011
Demixed Principal Component Analysis
NeurIPS 2011
Dynamical segmentation of single trials from population neural data
NeurIPS 2011
Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons
NeurIPS 2011
Emergence of Multiplication in a Biophysical Model of a Wide-Field Visual Neuron for Computing Object Approaches: Dynamics, Peaks, & Fits
NeurIPS 2011