Fast Population Coding

DOI10.1162/neco.2007.19.2.404zbMath1122.92010OpenAlexW2021394691WikidataQ48317808 ScholiaQ48317808MaRDI QIDQ5423021

Quentin J. M. Huys, Richard S. Zemel, Rama Natarajan, Peter Dayan

Publication date: 30 October 2007

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco.2007.19.2.404

zbMATH Keywords

autoregressive processesGaussian proces priorOrnstein-Uhlenbeck priorPoisson-Gaussian spiking model

Mathematics Subject Classification ID

Neural biology (92C20) Signal detection and filtering (aspects of stochastic processes) (60G35)

Related Items (9)

Optimal Population Codes for Space: Grid Cells Outperform Place Cells ⋮ Encoding and Decoding Spikes for Dynamic Stimuli ⋮ Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons ⋮ Bayesian Spiking Neurons I: Inference ⋮ Dynamic state estimation based on Poisson spike trains—towards a theory of optimal encoding ⋮ Optimal Decoding of Dynamic Stimuli by Heterogeneous Populations of Spiking Neurons: A Closed-Form Approximation ⋮ Bayesian Filtering in Spiking Neural Networks: Noise, Adaptation, and Multisensory Integration ⋮ Robot Competence Development by Constructive Learning ⋮ Cortical Circuitry Implementing Graphical Models

Cites Work

• Discrimination thresholds for channel-coded systems
• Rate Coding Versus Temporal Order Coding: What the Retinal Ganglion Cells Tell the Visual Cortex
• Could information theory provide an ecological theory of sensory processing?
• Doubly Distributional Population Codes: Simultaneous Representation of Uncertainty and Multiplicity
• Neural Representation of Probabilistic Information
• Estimating a State-Space Model from Point Process Observations
• Dynamic Analyses of Information Encoding in Neural Ensembles
• Statistics of natural time-varying images

This page was built for publication: Fast Population Coding