Encoding and decoding of analog signals with a population of neurons

DOI10.1016/S0895-7177(04)90006-4zbMath1046.94508OpenAlexW1980267218MaRDI QIDQ1827300

Yanyan Li

Publication date: 6 August 2004

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0895-7177(04)90006-4

zbMATH Keywords

limit cyclesneural networksoscillationsneurosciencerate coding

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Nonlinear oscillations and coupled oscillators for ordinary differential equations (34C15)

Uses Software

• Unnamed Item

Cites Work

• Nonlinear oscillations, dynamical systems, and bifurcations of vector fields
• Developing and applying a toolkit from a general neurocomputational framework
• Unnamed Item
• Unnamed Item

This page was built for publication: Encoding and decoding of analog signals with a population of neurons