The Role of Simplified Models for Neurons in the Emergence of Collective Behaviors in Neuronal Populations

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Hosseini, Nafiseh | 2024

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 57231 (04)
University: Sharif University of Technology
Department: Physics
Advisor(s): Moghimi Araghi, Saman
Abstract:
The brain, as a complex system with various components working in concert, plays a fundamental role in many cognitive processes and human perception of the surrounding environment. Perception, in many cases, can differ from reality due to evolutionary processes, natural selection, or even flaws in any of the parameters within this complex intelligent system. One of the observed phenomena in perception is the heightened visibility of edges, often depicted with Mach bands. To describe this phenomenon, primarily, rate models are used, especially in regions where a linear approximation is suitable for neuronal responses. However, the response of neuronal populations in a range of external stimuli are entirely non-linear, exhibiting behaviors such as hysteresis. Additionally, due to the limited size of neuronal populations and the short durations of stimuli, the rate model may not be an appropriate approximation. In this thesis, we investigate the neuronal behaviors in limited populations and compare the results with rate models. Furthermore, we examine the edge enhancement phenomenon both in static conditions and when Mach bands are in motion
Keywords:
Simulation ; Edge Effect ; Neural Populations ; Rate Model ; Collective Behavior

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