2012/10/15 by Sacha Sokoloski, Sokoloski, Sacha
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · Neuroscience · #FOS: Biological sciences #FOS: Computer and information sciences #Glaucoma and retinal disorders #Neural and Evolutionary Computing (cs.NE) #Neurons and Cognition (q-bio.NC) #Olfactory and Sensory Function Studies #Retinal Development and Disorders #cs.NE #q-bio.NC
paper · pdf · doi:10.48550/arxiv.1210.4145
arxiv created 2012/10/15 · openalex publication_date 2012/10/15 · arxiv updated 2012/10/16 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
The posterior parietal cortex is believed to direct eye movements, especially in regards to target tracking tasks, and a number of debates exist over the precise nature of the computations performed by the parietal cortex, with each side supported by different sets of biological evidence. In this paper I will present my model which navigates a course between some of these debates, towards the end of presenting a model which can explain some of the competing interpretations among the data sets. In particular, rather than assuming that proprioception or efference copies form the key source of information for computing eye position information, I use a biological plausible implementation of a Kalman filter to optimally combine the two signals, and a simple gain control mechanism in order to accommodate the latency of the proprioceptive signal. Fitting within the Bayesian brain hypothesis, the result is a Bayes optimal solution to the eye control problem, with a range of data supporting claims of biological plausibility.