1. A Modeling Study of the Emergence of Eye Position Gain Fields Modulating the Responses of Visual Neurons in the Brain
- Author
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Daniel M. Navarro, Hannah E. Smithson, and Simon M. Stringer
- Subjects
0301 basic medicine ,Visual perception ,Eye Movements ,genetic structures ,Computer science ,neural network ,Cognitive Neuroscience ,Coordinate system ,Normal Distribution ,Neuroscience (miscellaneous) ,lcsh:RC321-571 ,03 medical and health sciences ,Cellular and Molecular Neuroscience ,0302 clinical medicine ,Position (vector) ,Modulation (music) ,mental disorders ,medicine ,Humans ,eye-position ,visual cortex ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,Original Research ,Neurons ,Artificial neural network ,Eye movement ,Sensory Systems ,eye diseases ,Eye position ,030104 developmental biology ,Visual cortex ,medicine.anatomical_structure ,gain modulation ,Visual Perception ,self-organizing ,Neural Networks, Computer ,sense organs ,Visual Fields ,Neuroscience ,030217 neurology & neurosurgery ,Photic Stimulation - Abstract
The responses of many cortical neurons to visual stimuli are modulated by the position of the eye. This form of gain modulation by eye position does not change the retinotopic selectivity of the responses, but only changes the amplitude of the responses. Particularly in the case of cortical responses, this form of eye position gain modulation has been observed to be multiplicative. Multiplicative gain modulated responses are crucial to encode information that is relevant to high-level visual functions, such as stable spatial awareness, eye movement planning, visual-motor behaviours, and coordinate transformation. Here we first present a hardwired model of different functional forms of gain modulation, including peaked and monotonic modulation by eye position. We use a biologically realistic Gaussian function to model the influence of the position of the eye on the internal activation of visual neurons. Next we show how different functional forms of gain modulation by eye position may develop in a self-organising neural network model of visual neurons. A further contribution of our work is the investigation of the influence of the width of the eye position tuning curve on the development of a variety of forms of eye position gain modulation. Our simulation results show how the width of the eye position tuning curve affects the development of different forms of gain modulation of visual responses by the position of the eye.
- Published
- 2020