Interdisciplinary
6,875 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
2
1
1
2
1
46
47
60
54
53
46
54
66
44
40
213
360
366
474
533
541
663
780
912
1,295
221
2000
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Papers (including subtopics)
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
NeurIPS 2010
Short-term memory in neuronal networks through dynamical compressed sensing
NeurIPS 2010
Sodium entry efficiency during action potentials: A novel single-parameter family of Hodgkin-Huxley models
NeurIPS 2010
Sparse Instrumental Variables (SPIV) for Genome-Wide Studies
NeurIPS 2010
SpikeAnts, a spiking neuron network modelling the emergence of organization in a complex system
NeurIPS 2010
Spike timing-dependent plasticity as dynamic filter
NeurIPS 2010
Switching state space model for simultaneously estimating state transitions and nonstationary firing rates
NeurIPS 2010
Synergies in learning words and their referents
NeurIPS 2010
The Neural Costs of Optimal Control
NeurIPS 2010
Variational Inference over Combinatorial Spaces
NeurIPS 2010
Why are some word orders more common than others? A uniform information density account
NeurIPS 2010
A Bayesian Analysis of Dynamics in Free Recall
NeurIPS 2009
A Biologically Plausible Model for Rapid Natural Scene Identification
NeurIPS 2009
Abstraction and Relational learning
NeurIPS 2009
Adaptive Design Optimization in Experiments with People
NeurIPS 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals
NeurIPS 2009
A Neural Implementation of the Kalman Filter
NeurIPS 2009
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity
NeurIPS 2009
Bayesian Belief Polarization
NeurIPS 2009
Bayesian estimation of orientation preference maps
NeurIPS 2009
Bayesian Source Localization with the Multivariate Laplace Prior
NeurIPS 2009
Boosting with Spatial Regularization
NeurIPS 2009
Clustering sequence sets for motif discovery
NeurIPS 2009
Code-specific policy gradient rules for spiking neurons
NeurIPS 2009
Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies
NeurIPS 2009