A Bio-Inspired, Computational Model Suggests Velocity Gradients of Optic Flow Locally Encode Ordinal Depth at Surface Borders and Globally They Encode Self-Motion

DOI10.1162/NECO_A_00479zbMath1448.91237DBLPjournals/neco/RaudiesRN13WikidataQ50745001 ScholiaQ50745001MaRDI QIDQ5378262

Heiko Neumann, Stefan Ringbauer, Florian Raudies

Publication date: 12 June 2019

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

Mathematics Subject Classification ID

Neural biology (92C20) Psychophysics and psychophysiology; perception (91E30)

Cites Work

• Disambiguating Visual Motion Through Contextual Feedback Modulation
• Computational modelling of optic flow selectivity in MSTd neurons

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