Paper
10 November 2020 Improve EN model of simple cell combined with non-classical receptive field
Yanshan Tan, Zhiming Chen, Zhuo Zhang, Ming Li
Author Affiliations +
Proceedings Volume 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence; 115841C (2020) https://doi.org/10.1117/12.2580981
Event: Third International Conference on Image, Video Processing and Artificial Intelligence, 2020, Shanghai, China
Abstract
Orientation selectivity of neurons in mammalian visual cortex is a unique physiological characteristic. In the primary visual cortex, neurons with the same orientation cluster together to form the orientation column of the visual cortex. The mechanism of orientation selectivity has been debated for a long time, and the discussion of the structure and function of orientation columns has also been a hot issue. Here we present two basic properties of the visual cortex response, orientation selectivity and surround suppression. Based on these two different characteristics of primary visual cortical neurons, an improved EN model is proposed. The model can well simulate the physiological structure of simple cells and take into account the suppression and facilitation of non-classical receptive fields.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanshan Tan, Zhiming Chen, Zhuo Zhang, and Ming Li "Improve EN model of simple cell combined with non-classical receptive field", Proc. SPIE 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence, 115841C (10 November 2020); https://doi.org/10.1117/12.2580981
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KEYWORDS
Neurons

Visual process modeling

Visual cortex

Visualization

Retina

Thalamus

Mathematical modeling

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