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
Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions
NeurIPS 2013
Spectral methods for neural characterization using generalized quadratic models
NeurIPS 2013
Spike train entropy-rate estimation using hierarchical Dirichlet process priors
NeurIPS 2013
Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators.
NeurIPS 2013
Third-Order Edge Statistics: Contour Continuation, Curvature, and Cortical Connections
NeurIPS 2013
Universal models for binary spike patterns using centered Dirichlet processes
NeurIPS 2013
What Object Motion Reveals about Shape with Unknown BRDF and Lighting
CVPR 2013
A lattice filter model of the visual pathway
NeurIPS 2012
A mechanistic model of early sensory processing based on subtracting sparse representations
NeurIPS 2012
A systematic approach to extracting semantic information from functional MRI data
NeurIPS 2012
Bayesian active learning with localized priors for fast receptive field characterization
NeurIPS 2012
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing
NeurIPS 2012
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
NeurIPS 2012
Compressive neural representation of sparse, high-dimensional probabilities
NeurIPS 2012
Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
NeurIPS 2012
Delay Compensation with Dynamical Synapses
NeurIPS 2012
Efficient and direct estimation of a neural subunit model for sensory coding
NeurIPS 2012
Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference
NeurIPS 2012
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model
NeurIPS 2012
Fully Bayesian inference for neural models with negative-binomial spiking
NeurIPS 2012
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints
NeurIPS 2012
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model
NeurIPS 2012
Identification of Recurrent Patterns in the Activation of Brain Networks
NeurIPS 2012
Kernel Hyperalignment
NeurIPS 2012
Learning optimal spike-based representations
NeurIPS 2012