A dynamic neural field model of continuous input integration

DOI10.1007/S00422-021-00893-7zbMath1480.92021OpenAlexW3194076718MaRDI QIDQ2069014

Estela Bicho, Daniele Avitabile, Weronika Wojtak, Wolfram Erlhagen, Stephen Coombes

Publication date: 20 January 2022

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://research.vu.nl/en/publications/7ee2d06c-660d-45a6-9774-73ef41f1d90f

zbMATH Keywords

stabilityconservation lawlocalized statesdynamic neural fieldinput integration

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) PDEs in connection with biology, chemistry and other natural sciences (35Q92)

Related Items (1)

Numerical solution of the stochastic neural field equation with applications to working memory

Cites Work

• Continuous neural network with windowed Hebbian learning
• The time course of saccadic decision making: dynamic field theory
• Computational algorithms and neuronal network models underlying decision processes
• Topographic organization of nerve fields
• Dynamics of pattern formation in lateral-inhibition type neural fields
• A model of visuospatial working memory in prefrontal cortex: Recurrent network and cellular bistability
• Synaptic efficacy shapes resource limitations in working memory
• Encoding certainty in bump attractors
• Identification of a free energy functional in an integro-differential equation model for neuronal network activity.
• Two-bump solutions of Amari-type models of neuronal pattern formation
• Multi-bump solutions in a neural field model with external inputs
• Wandering Bumps in Stochastic Neural Fields
• Continuation of Localized Coherent Structures in Nonlocal Neural Field Equations
• Dynamics and Computation of Continuous Attractors

This page was built for publication: A dynamic neural field model of continuous input integration