期刊论文详细信息
Frontiers in Computational Neuroscience | |
New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics | |
Neuroscience | |
Kenneth Barkdoll1  Yuhua Lu1  Victor J. Barranca2  | |
[1]Department of Mathematics and Statistics, Swarthmore College, Swarthmore, PA, United States | |
[2]null | |
关键词: neuronal networks; binocular rivalry; stimulus encoding; compressive sensing; non-linear dynamics; input-output mapping; autism; | |
DOI : 10.3389/fncom.2023.1137015 | |
received in 2023-01-03, accepted in 2023-03-07, 发布年份 2023 | |
来源: Frontiers | |
![]() |
【 摘 要 】
When the two eyes are presented with highly distinct stimuli, the resulting visual percept generally switches every few seconds between the two monocular images in an irregular fashion, giving rise to a phenomenon known as binocular rivalry. While a host of theoretical studies have explored potential mechanisms for binocular rivalry in the context of evoked model dynamics in response to simple stimuli, here we investigate binocular rivalry directly through complex stimulus reconstructions based on the activity of a two-layer neuronal network model with competing downstream pools driven by disparate monocular stimuli composed of image pixels. To estimate the dynamic percept, we derive a linear input-output mapping rooted in the non-linear network dynamics and iteratively apply compressive sensing techniques for signal recovery. Utilizing a dominance metric, we are able to identify when percept alternations occur and use data collected during each dominance period to generate a sequence of percept reconstructions. We show that despite the approximate nature of the input-output mapping and the significant reduction in neurons downstream relative to stimulus pixels, the dominant monocular image is well-encoded in the network dynamics and improvements are garnered when realistic spatial receptive field structure is incorporated into the feedforward connectivity. Our model demonstrates gamma-distributed dominance durations and well obeys Levelt's four laws for how dominance durations change with stimulus strength, agreeing with key recurring experimental observations often used to benchmark rivalry models. In light of evidence that individuals with autism exhibit relatively slow percept switching in binocular rivalry, we corroborate the ubiquitous hypothesis that autism manifests from reduced inhibition in the brain by systematically probing our model alternation rate across choices of inhibition strength. We exhibit sufficient conditions for producing binocular rivalry in the context of natural scene stimuli, opening a clearer window into the dynamic brain computations that vary with the generated percept and a potential path toward further understanding neurological disorders.【 授权许可】
Unknown
Copyright © 2023 Barkdoll, Lu and Barranca.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202310108200423ZK.pdf | 1753KB | ![]() |