Investigation of Possible Neural Architectures Underlying Information-Geometric Measures

DOI10.1162/089976604322860686zbMath1053.92003OpenAlexW1990540817WikidataQ44802401 ScholiaQ44802401MaRDI QIDQ4819814

Masami Tatsuno, Masato Okada

Publication date: 5 October 2004

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

Full work available at URL: https://doi.org/10.1162/089976604322860686

zbMATH Keywords

connected networksfiring rates

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (4)

Information-Geometric Measures as Robust Estimators of Connection Strengths and External Inputs ⋮ Influence of External Inputs and Asymmetry of Connections on Information-Geometric Measures Involving Up to Ten Neuronal Interactions ⋮ Measure of Correlation Orthogonal to Change in Firing Rate ⋮ Information-Geometric Measures for Estimation of Connection Weight Under Correlated Inputs

Cites Work

• A Unified Approach to the Study of Temporal, Correlational, and Rate Coding
• Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance
• Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data
• Information geometry on hierarchy of probability distributions
• Information-Geometric Measure for Neural Spikes

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