2011
DOI: 10.1152/jn.00265.2011
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Order of operations for decoding superior colliculus activity for saccade generation

Abstract: Katnani HA, Gandhi NJ. Order of operations for decoding superior colliculus activity for saccade generation. J Neurophysiol 106: 1250-1259, 2011. First published June 15, 2011 doi:10.1152/jn.00265.2011To help understand the order of events that occurs when generating saccades, we simulated and tested two commonly stated decoding models that are believed to occur in the oculomotor system: vector averaging (VA) and center-of-mass. To generate accurate saccades, each model incorporates two required criteria: 1) a… Show more

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Cited by 24 publications
(20 citation statements)
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“…For example, when multiple stimuli simultaneously appear, then one might predict differences in the trajectories of the evoked saccade (e.g. saccadic averaging [98]) depending on whether the stimuli were presented together either in the lower or upper visual field. Moreover, different population read-out schemes may exploit larger or smaller RF sizes in the SC's representations of the lower and upper visual fields, respectively, in order to serve attention.…”
Section: Superior Colliculus As a Salience Computermentioning
confidence: 99%
See 1 more Smart Citation
“…For example, when multiple stimuli simultaneously appear, then one might predict differences in the trajectories of the evoked saccade (e.g. saccadic averaging [98]) depending on whether the stimuli were presented together either in the lower or upper visual field. Moreover, different population read-out schemes may exploit larger or smaller RF sizes in the SC's representations of the lower and upper visual fields, respectively, in order to serve attention.…”
Section: Superior Colliculus As a Salience Computermentioning
confidence: 99%
“…The strongest constraint is that any circuit we propose to perform target selection must produce saccades that obey the linear vector averaging of multiple saccade targets in visual space. The proposed selection circuit must perform this correction despite two nonlinear transformations: from linear visual space to the log-polar neural representation, and then back to linear vector space for the eye movement [98]. It is also possible that such a correction from nonlinear to linear summation is likely computed downstream of the SC (e.g.…”
Section: Superior Colliculus As a Salience Computermentioning
confidence: 99%
“…Early success of the model came from its ability to account accurately for the findings generated from several experiments. Some examples include the following: ( a ) Simultaneous microstimulation at two points within the SC evokes a single saccade whose amplitude and direction are predicted by the weighted average of the two saccades generated when each site is stimulated independently (Katnani et al 2009, Robinson 1972). ( b ) Local inactivation within the SC generates saccades with dysmetria patterns that conform to an averaging hypothesis (Lee et al 1988).…”
Section: Mechanisms For Decoding Superior Colliculus Activitymentioning
confidence: 99%
“…Neurons in the superficial layers of the SC are responsive nearly exclusively to visual stimuli at specific locations in the contralateral visual hemifield, while the deep layers express sensitivity to sensory stimuli of varying modalities (vision, audition, somatosensation) [67,68]. Multimodal neurons responding to tactile as well as to visual events have been identified in the SC [69-71].…”
Section: Reviewmentioning
confidence: 99%