A Neural Model for Attentional Modulation of Lateral Interactions in the Visual Cortex
Neurophysiological investigations showed that attention influences neural responses in the visual cortex by modulating the amount of contextual interactions between cells. Attention acts as a gate that protects cells from lateral excitatory and inhibitory influences. A recurrent neural network based on dendritic inhibition is proposed to account for these findings. In the model, two types of inhibition are distinguished: dendritic and lateral inhibition. Dendritic inhibition regulates the amount of impact that surrounding cells may exert on a target cell via dendrites of excitatory neurons and dendrites of subpopulation of inhibitory neurons mediating lateral inhibition. Attention increases the amount of dendritic inhibition and prevents contextual interactions, while it has no effect on the target cell when there is no contextual input. Computer simulations showed that the proposed model reproduces the results of several studies about interaction between attention and horizontal connections in the visual cortex.
KeywordsAttention Contrast Contour Integration Visual Cortex Dendritic Inhibition
Unable to display preview. Download preview PDF.
- 12.McAdams, C.J., Maunsell, J.H.R.: Effects of attention on orientation-tuning functions of single neurons in macaque cortical area V4. J. Neurosci. 19, 431–441 (1999)Google Scholar
- 14.Reynolds, J.H., Chelazzi, L., Desimone, R.: Competitive mechanisms subserve attention in macaque area V2 and V4. J. Neurosci. 19, 1736–1753 (1999)Google Scholar