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Cognitive Modeling

558 directly classified papers

Papers per year

Papers

Compressive neural representation of sparse, high-dimensional probabilities NIPS 2012
Neuronal Spike Generation Mechanism as an Oversampling, Noise-shaping A-to-D converter NIPS 2012
Learning optimal spike-based representations NIPS 2012
How Prior Probability Influences Decision Making: A Unifying Probabilistic Model NIPS 2012
Coding efficiency and detectability of rate fluctuations with non-Poisson neuronal firing NIPS 2012
Burn-in, bias, and the rationality of anchoring NIPS 2012
Delay Compensation with Dynamical Synapses NIPS 2012
Human memory search as a random walk in a semantic network NIPS 2012
Towards a learning-theoretic analysis of spike-timing dependent plasticity NIPS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Kernel Hyperalignment NIPS 2012
Multi-scale Hyper-time Hardware Emulation of Human Motor Nervous System Based on Spiking Neurons using FPGA NIPS 2012
Efficient Spike-Coding with Multiplicative Adaptation in a Spike Response Model NIPS 2012
Waveform Driven Plasticity in BiFeO3 Memristive Devices: Model and Implementation NIPS 2012
Predicting Action Content On-Line and in Real Time before Action Onset – an Intracranial Human Study NIPS 2012
An ideal observer model for identifying the reference frame of objects NIPS 2011
Energetically Optimal Action Potentials NIPS 2011
Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NIPS 2011
A rational model of causal inference with continuous causes NIPS 2011
Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories NIPS 2011
Understanding the Intrinsic Memorability of Images NIPS 2011
Inductive reasoning about chimeric creatures NIPS 2011
Probabilistic Modeling of Dependencies Among Visual Short-Term Memory Representations NIPS 2011
Active dendrites: adaptation to spike-based communication NIPS 2011
Environmental statistics and the trade-off between model-based and TD learning in humans NIPS 2011