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Related Experiment Video

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VisualEyes: A Modular Software System for Oculomotor Experimentation

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Published on: March 25, 2011

Crossmodal links between vision and touch in spatial attention: a computational modelling study.

Elisa Magosso¹, Andrea Serino, Giuseppe di Pellegrino

¹Department of Electronics, Computer Science and Systems, University of Bologna, 40136 Bologna, 47023 Cesena, Italy. elisa.magosso@unibo.it

Computational Intelligence and Neuroscience

|October 28, 2009

Summary

This study models cross-modal attention, explaining how visual and tactile information interact. A neural network model reveals biased competition may underlie both voluntary (endogenous) and involuntary (exogenous) attention.

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Area of Science:

Cognitive Neuroscience
Computational Neuroscience

Background:

Attention selects relevant information in daily multimodal situations.
Cross-modal attention links operate in both voluntary (endogenous) and involuntary (exogenous) attention.
The neural basis of cross-modal attention remains a challenge.

Purpose of the Study:

To elucidate the neural correlates of visual-tactile interactions.
To model exogenous and endogenous cross-modal attention using a neural network.

Main Methods:

Developed a neural network model with unimodal (visual, tactile) and bimodal areas.
Simulated interhemispheric competition.
Investigated neural mechanisms underlying cross-modal facilitation.

Main Results:

The model successfully explained cross-modal facilitation in both attention types.
Facilitation was attributed to biased activation of the attended-side bimodal area.
Inhibition of the contralateral side was observed.

Conclusions:

A competitive/cooperative interaction with biased competition may mediate cross-modal attention.
The model provides insights into the neural basis of integrating information across senses.