Neuronal Algorithms That Detect the Temporal Order of Events

DOI10.1162/NECO.2006.18.9.2102zbMath1099.68704DBLPjournals/neco/Polavieja06OpenAlexW2072918381WikidataQ48439027 ScholiaQ48439027MaRDI QIDQ5488507

Gonzalo G. de Polavieja

Publication date: 22 September 2006

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

Full work available at URL: https://doi.org/10.1162/neco.2006.18.9.2102

zbMATH Keywords

Barlow-Levick modelHassenstein-Reichardt model

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Generalized gradient schemes for the measurement of two-dimensional image motion
• Speed tuning in elementary motion detectors of the correlation type

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