Cognitive Modeling
618 papers
Papers per year
17
22
27
26
17
19
22
22
15
7
16
18
23
28
34
29
44
65
60
74
33
'10
'15
'20
'25
Papers
Temporal Dynamics of Cognitive Control
NeurIPS 2008
Tracking Changing Stimuli in Continuous Attractor Neural Networks
NeurIPS 2008
Understanding Brain Connectivity Patterns during Motor Imagery for Brain-Computer Interfacing
NeurIPS 2008
Unifying the Sensory and Motor Components of Sensorimotor Adaptation
NeurIPS 2008
A Bayesian Framework for Cross-Situational Word-Learning
NeurIPS 2007
A Bayesian Model of Conditioned Perception
NeurIPS 2007
A neural network implementing optimal state estimation based on dynamic spike train decoding
NeurIPS 2007
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
NeurIPS 2007
An online Hebbian learning rule that performs Independent Component Analysis
NeurIPS 2007
Better than least squares: comparison of objective functions for estimating linear-nonlinear models
NeurIPS 2007
EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection
NeurIPS 2007
Experience-Guided Search: A Theory of Attentional Control
NeurIPS 2007
GRIFT: A graphical model for inferring visual classification features from human data
NeurIPS 2007
Hippocampal Contributions to Control: The Third Way
NeurIPS 2007
Inferring Elapsed Time from Stochastic Neural Processes
NeurIPS 2007
Learning and using relational theories
NeurIPS 2007
Locality and low-dimensions in the prediction of natural experience from fMRI
NeurIPS 2007
Markov Chain Monte Carlo with People
NeurIPS 2007
Near-Maximum Entropy Models for Binary Neural Representations of Natural Images
NeurIPS 2007
Neural characterization in partially observed populations of spiking neurons
NeurIPS 2007
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
NeurIPS 2007
Retrieved context and the discovery of semantic structure
NeurIPS 2007
Sequential Hypothesis Testing under Stochastic Deadlines
NeurIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons
NeurIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity
NeurIPS 2007