MODELING A SIMPLE CHOICE TASK: STOCHASTIC DYNAMICS OF MUTUALLY INHIBITORY NEURAL GROUPS

DOI10.1142/S0219493701000102zbMath1060.92019OpenAlexW2092068189MaRDI QIDQ4460418

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Publication date: 18 May 2004

Published in: Stochastics and Dynamics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219493701000102

zbMATH Keywords

behavioral observables of cognitioninhibitory neural unitslow-dimensional neural models

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (9)

Sequential Effects in Two-Choice Reaction Time Tasks: Decomposition and Synthesis of Mechanisms ⋮ SIMPLE NEURAL NETWORKS THAT OPTIMIZE DECISIONS ⋮ Time-Varying Perturbations Can Distinguish Among Integrate-to-Threshold Models for Perceptual Decision Making in Reaction Time Tasks ⋮ Comparison of magnitude-sensitive sequential sampling models in a simulation-based study ⋮ Optimization of Decision Making in Multilayer Networks: The Role of Locus Coeruleus ⋮ A decision-making Fokker-Planck model in computational neuroscience ⋮ Parameter recovery for the leaky competing accumulator model ⋮ On the a posteriori error analysis for linear Fokker-Planck models in convection-dominated diffusion problems ⋮ Bounded Ornstein-Uhlenbeck models for two-choice time controlled tasks

Cites Work

• Random Perturbations of Heteroclinic Attractors
• Neural networks and physical systems with emergent collective computational abilities.
• Neurons with graded response have collective computational properties like those of two-state neurons.

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