Science

Capacity of strong attractor patterns to model behavioural and cognitive prototypes NeurIPS 2013 Convex Relaxations for Permutation Problems NeurIPS 2013 Correlations strike back (again): the case of associative memory retrieval NeurIPS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Extracting regions of interest from biological images with convolutional sparse block coding NeurIPS 2013 Firing rate predictions in optimal balanced networks NeurIPS 2013 Gauging Association Patterns of Chromosome Territories via Chromatic Median CVPR 2013 Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NeurIPS 2013 Inferring neural population dynamics from multiple partial recordings of the same neural circuit NeurIPS 2013 Learning Multi-level Sparse Representations NeurIPS 2013 Least Informative Dimensions NeurIPS 2013 Mapping paradigm ontologies to and from the brain NeurIPS 2013 Matrix factorization with binary components NeurIPS 2013 Message Passing Inference with Chemical Reaction Networks NeurIPS 2013 Multisensory Encoding, Decoding, and Identification NeurIPS 2013 Neural representation of action sequences: how far can a simple snippet-matching model take us? NeurIPS 2013 Noise-Enhanced Associative Memories NeurIPS 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 Optimal integration of visual speed across different spatiotemporal frequency channels NeurIPS 2013 Optimal Neural Population Codes for High-dimensional Stimulus Variables NeurIPS 2013 Perfect Associative Learning with Spike-Timing-Dependent Plasticity NeurIPS 2013 Real-Time Inference for a Gamma Process Model of Neural Spiking NeurIPS 2013 Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NeurIPS 2013 Recurrent linear models of simultaneously-recorded neural populations NeurIPS 2013 Robust learning of low-dimensional dynamics from large neural ensembles NeurIPS 2013