Models of receptive-field dynamics in visual cortex.
The position, size, and shape of the receptive field (RF) of some cortical neurons change dynamically, in response to artificial scotoma conditioning (Pettet & Gilbert, 1992) and to retinal lesions (Chino et al., 1992; Darian-Smith & Gilbert, 1995) in adult animals. The RF dynamics are of interest because they show how visual systems may adaptively overcome damage (from lesions, scotomas, or other failures), may enhance processing efficiency by altering RF coverage in response to visual demand, and may perform perceptual learning. This paper presents an afferent excitatory synaptic plasticity rule and a lateral inhibitory synaptic plasticity rule--the EXIN rules (Marshall, 1995)--to model persistent RF changes after artificial scotoma conditioning and retinal lesions. The EXIN model is compared to the LISSOM model (Sirosh et al., 1996) and to a neuronal adaptation model (Xing & Gerstein, 1994). The rules within each model are isolated and are analyzed independently, to elucidate their roles in adult cortical RF dynamics. Based on computer simulations, the EXIN lateral inhibitory synaptic plasticity rule and the LISSOM lateral excitatory synaptic plasticity rule produced the best fit with current neurophysiological data on visual cortical plasticity in adult animals (Chino et al., 1992; Pettet & Gilbert, 1992; Darian-Smith & Gilbert, 1995) including (1) the retinal position and shape of the expanding RFs; (2) the corticotopic direction in which responsiveness returns to the silenced cortex; (3) the direction of RF shifts; (4) the amount of change in response to blank stimuli; and (5) the lack of dynamic RF changes during conditioning with a retinal lesion in one eye and the unlesioned eye kept open, in adult animals. The effects of the LISSOM lateral inhibitory synaptic plasticity rule during artificial scotoma conditioning are in conflict with those of the other two LISSOM synaptic plasticity rules. A novel "complementary scotoma" conditioning experiment, in which stimulation of two complementary regions of visual space alternates repeatedly, is proposed to differentiate the predictions of the EXIN and LISSOM rules.
Kalarickal
G J
GJ
Department of Computer Science, University of North Carolina at Chapel Hill, USA. kalarick@cs.unc.edu
Marshall
J A
JA
D000222:Adaptation, Physiological; D000818:Animals; D003198:Computer Simulation; D006801:Humans; D007858:Learning; D008954:Models, Biological; D016571:Neural Networks, Computer; D009473:Neuronal Plasticity / Q000502:physiology*; D009475:Neurons, Afferent / Q000502:physiology*; D012164:Retinal Diseases / Q000503:physiopathology; D012607:Scotoma / Q000503:physiopathology; D014793:Visual Cortex / Q000502:physiology*