Abstract
We first present a mathematical analysis of the relation between the parameters and the behavior of the basic module in the proposed neural network model for visual motion detection. Based on the analytical results, a learning rule is put forth that can develop velocity selectivity of directionally selective cells in the basic module. The learning rule is furthermore introduced into the total model called a ‘mass model’, which is constructed with many basic modules. Numerical simulation results showed that each basic module in the mass model learned in a self-organizing manner to acquire selectivity for the velocity of an input stimulus. The proposed learning rule would be plausible in the actual nervous system in that it is simple and can be described with only local information.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Allman J, Miezin F, McGuinness E (1985) Direction and velocityspecific responses from beyond the classical receptive field in the middle temporal visual area (MT). Perception 14:105–126
Barlow HB, Levick WR (1965) The mechanism of directionally selective units in rabbit's retina. J Physiol 178:549
Fukuda T (1979) The functional difference between central and peripheral vision in motion perception. J Inst Television Eng Jpn 33:479–484
Hirahara M, Nagano T (1993) A neural network model for visual motion detection that can explain psychophysical and neurophysiological phenomena. Biol Cybern 68:247–252
Marshall JA (1990) Self-organizing neural network for perception of visual motion. Neural Networks 3:45–74
Maunsell JHR, Van Essen DC (1983) Functional properties of neurons in middle temporal visual area of the macaque monkey. I. Selectivity for stimulus direction, speed and orientation. J Neurophysiol 49:1127–1147
Mikami A, Newsome WT, Wurtz RH (1986) Motion selectivity in macaque visual cortex. I. Mechanisms of direction and speed selectivity in extrastriate area MT. J Neurophysiol 55:1308–1327
Movshon JA, Newsome WT, Gizzi MS, Levitt JB (1988) Spatiotemporal tuning and speed sensitivity in macaque visual cortical neurons. Invest Ophthalmol Visual Sci 29(Suppl). 327
Nagano T, Fujiwara M (1979) A neural network model for the development of direction selectivity in the visual cortex. Biol Cybern 32:1–8
Nakamura M (1993) The self-organization of models of direction selective cells in visual cortex. Proc IJCNN pp 2520–2523
Poggio T, Reichardt W (1973) Considerations on models of movement detection. Kybernetik 13:223–227
Rodman HR, Albright TD (1987) Coding of visual stimulus velocity in area MT of the macaque. Vision Res 27:2035–2048
Shimodaira Y, Hiwatashi K (1987) Perception of motion in successively displayed pattern stimuli. Trans Inst Election Inform Commun Eng (Jpn) J70-A: 102–109
Singer W (1976) Modification of orientation and direction selectivity of cortical cells in kittens with onocular vision. Brain Res 118:460–468
Zeki S (1974) Functional organization of a visual areas in the superior temporal sulcus of the rhesus monkey. J Physiol 236:460–468
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Miura, Ki., Kurata, K. & Nagano, T. Self-organization of the velocity selectivity of a directionally selective neural network. Biol. Cybern. 73, 401–407 (1995). https://doi.org/10.1007/BF00201474
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF00201474