A network model of multiplicative attentional modulation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Gain modulation of neuronal firing rate has been shown to be important for a large number of computations in the brain including attentional selection. Several models can produce gain modulation. One of the features characterizing attentional modulation is that attentional input in the absence of visual input produces little if any change in the mean firing rate of excitatory neurons in early visual cortex. This has been difficult to understand in computational models of gain modulation. Here we expand a previous network model of multiplicative neuron responses [1] by separating excitatory and inhibitory neuron propulations while keeping the single-neuron models simple. We analyze attentional input and lateral inhibition patterns which best reproduce electrophysiological results. We find that attentional input to excitatory and inhibitory neurons is the same, and, surprisingly, the optimal lateral inhibition connectivity is not Gaussian but needs to have a heavier tail. Addtionally, our model predicts that there is a minimum size of the attentional spotlight above which attentional modulation is multiplicative; below this minimum it becomes additive.

Original languageEnglish (US)
Title of host publication2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
DOIs
Publication statusPublished - 2012
Event2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 - Princeton, NJ, United States
Duration: Mar 21 2012Mar 23 2012

Other

Other2012 46th Annual Conference on Information Sciences and Systems, CISS 2012
CountryUnited States
CityPrinceton, NJ
Period3/21/123/23/12

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ASJC Scopus subject areas

  • Information Systems

Cite this

Mihalas, S., Von Der Heydt, J. R., & Niebur, E. (2012). A network model of multiplicative attentional modulation. In 2012 46th Annual Conference on Information Sciences and Systems, CISS 2012 [6310948] https://doi.org/10.1109/CISS.2012.6310948