Population Coding with Correlation and an Unfaithful Model
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Publication:2731449
DOI10.1162/089976601300014349zbMath1011.62116OpenAlexW2082763286WikidataQ48948623 ScholiaQ48948623MaRDI QIDQ2731449
Hiroyuki Nakahara, Si Wu, Shun-ichi Amari
Publication date: 9 June 2003
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1162/089976601300014349
Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Statistical aspects of information-theoretic topics (62B10)
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Information processing in a neuron ensemble with the multiplicative correlation structure ⋮ Dynamic neural field with local inhibition ⋮ Population Coding and Decoding in a Neural Field: A Computational Study ⋮ Sequential Bayesian Decoding with a Population of Neurons ⋮ Encoding and Decoding Spikes for Dynamic Stimuli ⋮ Heterogeneous Synaptic Weighting Improves Neural Coding in the Presence of Common Noise ⋮ A Causal Perspective on the Analysis of Signal and Noise Correlations and Their Role in Population Coding ⋮ Population Coding with Motion Energy Filters: The Impact of Correlations ⋮ Computing with Continuous Attractors: Stability and Online Aspects ⋮ Difficulty of Singularity in Population Coding ⋮ Insights from a Simple Expression for Linear Fisher Information in a Recurrently Connected Population of Spiking Neurons ⋮ Attention Modulation of Neural Tuning Through Peak and Base Rate ⋮ Temporal Coding of Time-Varying Stimuli ⋮ Emergence of attention within a neural population ⋮ Change-Based Inference in Attractor Nets: Linear Analysis ⋮ Dynamics and Computation of Continuous Attractors ⋮ Correlation and Independence in the Neural Code ⋮ Stimulus-Dependent Correlations and Population Codes
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