An unified and quantitative network model to describe spatial attention in area V4

Etienne Hugues (1) , Jose Jorge (1)

1 Department of Physics and Department of Physiology and Biophysics

Electrophysiological experiments in V4 visual area have shown that spatial attention induces a number of neural activity modulations. Depending on the stimulus characteristics, neuronal firing rates either increase or decrease. At the network level, the oscillatory activity in the gamma frequency range (30-70 Hz) is enhanced by attention. Recently, pyramidal neurons and interneurons have been surmised to respond differently, but have been shown to have both a high firing variability. These results raise the question of the nature of the modulatory attentional input to V4 and of the network mechanisms that lead to the emergence of these different modulations. Here, we propose a biophysical network model of V4. We first reproduce the neural activity observed in response to different stimulus configurations. We found that different forms of the attentional input are possible, and that this fact can explain the observed multiplicity of modulations when stimulus contrast is varied. Our model offers a unified and quantitative picture, from which the cognitive roles played by these attentional modulations can be investigated.

Mots clés: Attention; Spiking neurons; Vision; Simulation

Domaines: Neurosciences [q-bio.NC]; Neurosciences

Etienne Hugues, Jose Jorge. An unified and quantitative network model to describe spatial attention in area V4. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331604⟩