Paper Info
Title
The role of retinal bipolar cell in early vision: an implication with analogue networks and regularization theory.
Abstract
A linear analogue network model is proposed to describe the neuronal circuit of the outer retina consisting of cones, horizontal cells, and bipolar cells. The model reflects previous physiological findings on the spatial response properties of these neurons to dim illumination and is expressed by physiological mechanisms, i.e., membrane conductances, gap-junctional conductances, and strengths of chemical synaptic interactions. Using the model, we characterized the spatial filtering properties of the bipolar cell receptive field with the standard regularization theory, in which the early vision problems are attributed to minimization of a cost function. The cost function accompanying the present characterization is derived from the linear analogue network model, and one can gain intuitive insights on how physiological mechanisms contribute to the spatial filtering properties of the bipolar cell receptive field. We also elucidated a quantitative relation between the Laplacian of Gaussian operator and the bipolar cell receptive field. From the computational point of view, the dopaminergic modulation of the gap-junctional conductance between horizontal cells is inferred to be a suitable neural adaptation mechanism for transition between photopic and mesopic vision.
Year
DOI
Venue
1997
10.1007/s004220050377
Biological Cybernetics
Keywords
Field
DocType
Bipolar Cell,Horizontal Cell,Regularization Theory,Neural Adaptation,Outer Retina
Receptive field,Neuroscience,Control theory,Blob detection,Artificial intelligence,Mesopic vision,Spatial filter,Computer vision,Photopic vision,Retina,Neural adaptation,Mathematics,Network model
Journal
Volume
Issue
ISSN
77
3
0340-1200
Citations 
PageRank 
References 
15
1.61
2
Authors
3
Name
Order
Citations
PageRank
Tetsuya Yagi114027.73
Shigemichi Ohshima2151.95
Yasuyuki Funahashi34211.27