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Reconciling Biology and Function in the Thalamus: A Computational Simulation of the Role of the Thalamic Reticular Nucleus in Attention.

 Tor Wager and Randall C. O'Reilly
  
 

Abstract:
We present a neural network model that reconciles the functional hypothesis of thalamic involvement in perceptual selection with current anatomical and physiological data. Although early research treated the thalamus as a simple relay station, it is now generally accepted that the thalamus plays a more important functional role. The reticular nucleus of the thalamus (TRN) is widely thought to contribute to perceptual selection by enhancing the contrast between attended and unattended stimuli. However, existing mechanistic models of thalamic attention rely on patterns of connectivity that are not well supported by current electrophysiological and anatomical evidence, which instead suggests that the TRN functions to equalize, or govern, differences in activity across stimuli. We show that a previously underappreciated property of TRN neurons, their broad dendritic arbors, can form the basis for surround inhibition in the dorsal thalamus. This surround inhibition results in contrast enhancement, which can then be amplified by the reciprocal connectivity between dorsal thalamus and early sensory cortex. Our model demonstrates that these properties enable the thalamocortical circuit to mediate some aspects of perceptual selection.

 
 


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