Complexity reduction of rate-equations models for two-choice decision-making.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 24339885.
- Also identified by DOI 10.1371/journal.pone.0080820 and PMC identifier PMC2268007.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
We are concerned with the complexity reduction of a stochastic system of differential equations governing the dynamics of a neuronal circuit describing a decision-making task. This reduction is based on the slow-fast behavior of the problem and holds on the whole phase space and not only locally around the spontaneous state. Macroscopic quantities, such as performance and reaction times, computed applying this reduction are in agreement with previous works in which the complexity reduction is locally performed at the spontaneous point by means of a Taylor expansion.