Abstract
Direction selectivity (DS) of visual cortex neurons is modelled with a filter-based description of retino-thalamic pathway and a conductance-based population model of the cortex as a 2-d continuum. The DS mechanism is based on a pinwheel-dependent asymmetry of projections from lagged and non-lagged thalamic neurons to the cortex. The model realistically reproduces responses to drifting gratings. The model reveals the role of the cortex in sharpening DS, keeping interneurons non-selective.
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Acknowledgment
The reported study was supported by the Russian Foundation for Basic Research (RFBR) research project 19-015-00183.
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Chizhov, A.V., Yakimova, E.G., Smirnova, E.Y. (2020). Direction Selectivity Model Based on Lagged and Nonlagged Neurons. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research III. NEUROINFORMATICS 2019. Studies in Computational Intelligence, vol 856. Springer, Cham. https://doi.org/10.1007/978-3-030-30425-6_19
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DOI: https://doi.org/10.1007/978-3-030-30425-6_19
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