Competitive Stimulus Interactions within Single Response Fields of Superior Colliculus Neurons

Li, Xiaobing; Basso, Michele A.

doi:10.1523/jneurosci.3825-05.2005

Cited by 66 publications

(68 citation statements)

References 113 publications

(111 reference statements)

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“…Similarly, it has been reported that the product of within-modal visual interactions in cortical visual neurons is in most cases subadditive (Movshon et al, 1978;Henry et al, 1978, Britten andHeuer, 1999;Carandini et al, 1997;Reynolds et al, 1999;Gawne and Martin, 2002;Lampl et al, 2004;Li and Basso, 2005). These observations prompt the search for more appropriate models to describe the products of unisensory integration.…”

Section: Discussionmentioning

confidence: 88%

A neural network model of multisensory integration also accounts for unisensory integration in superior colliculus

et al. 2008

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Sensory integration is a characteristic feature of superior colliculus (SC) neurons. A recent neural network model of single-neuron integration derived a set of basic biological constraints sufficient to replicate a number of physiological findings pertaining to multisensory responses. The present study examined the accuracy of this model in predicting the responses of SC neurons to pairs of visual stimuli placed within their receptive fields. The accuracy of this model was compared to that of three other computational models (additive, averaging and maximum operator) previously used to fit these data. Each neuron's behavior was assessed by examining its mean responses to the component stimuli individually and together, and each model's performance was assessed to determine how close its prediction came to the actual mean response of each neuron and the magnitude of its predicted residual error. Predictions from the additive model significantly overshot the actual responses of SC neurons and predictions from the averaging model significantly undershot them. Only the predictions of the maximum operator and neural network model were not significantly different from the actual responses. However, the neural network model outperformed even the maximum operator model in predicting the responses of these neurons. The neural network model is derived from a larger model that also has substantial predictive power in multisensory integration, and provides a single computational vehicle for assessing the responses of SC neurons to different combinations of crossmodal and within-modal stimuli of different efficacies.

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Section: Discussionmentioning

confidence: 88%

A neural network model of multisensory integration also accounts for unisensory integration in superior colliculus

et al. 2008

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“…For electrophysiological recording of single neurons and monitoring eye movements, cylinders and eye movement measuring loops were implanted in two rhesus monkeys (Macaca mulatta) using procedures described previously (Li and Basso, 2005). All experimental protocols were approved by the University of WisconsinMadison Institutional Animal Care and Use Committee and complied with or exceeded standards set by the Public Health Service policy on the humane care and use of laboratory animals.…”

Section: Methodsmentioning

confidence: 99%

“…We used a real-time experimental data acquisition and visual stimulus generation system (Tempo and VideoSync; Reflective Computing, Olympia, WA) to create the behavioral paradigms and acquire eye position and single neuron data as described previously (Li and Basso, 2005;Li et al, 2006). Visual stimuli appeared on a display with a native resolution of 1024 ϫ 768, operating at 60 Hz and located at 51 cm distance from the monkey.…”

Section: Methodsmentioning

confidence: 99%

Preparing to Move Increases the Sensitivity of Superior Colliculus Neurons

Li¹,

Basso²

2008

J. Neurosci.

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How the brain selects goals for movements remains unknown. The system designed to move the eyes rapidly, the saccadic system, may play a role. Here we ask how sensory signals within a saccade area are influenced by selecting and preparing a saccade. Trained monkeys made or withheld saccades, based on a color cue, to targets varying in luminance contrast. We measured the initial visual activity of superior colliculus (SC) neurons in response to the appearance of these targets. We determined neuronal contrast responses in three task conditions: when two luminance gratings appeared one in the response field (RF) and one in the mirror-opposite location and a cue to select the stimulus in the RF occurred; when the gratings appeared and a cue to select the stimulus out of the RF occurred; and third, when the gratings appeared but monkeys remained fixating on the central spot. SC neurons had increases in visual responses when contrast increased. Receiver operating characteristic analysis revealed an increased ability of neurons to detect the grating on trials with higher contrast targets and also on trials with a cue to make a saccade compared with trials with a cue to remain fixating. Using two measures of neuronal sensitivity, those SC neurons considered part of the motor circuitry increased their sensitivity to contrast with a cue to make a saccade. The results indicate that movement commands influence sensory responses in SC in much the same way that commands to shift attention influence sensory responses in extrastriate cortex.

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“…For example, Alvarado et al (2007) provided evidence for suppressive interactions between withinmodal pairs suggestive of competitive rather than reinforcing effects of excitatory pairs from the same modality. As they note, mutual antagonism, even for visual stimuli restricted to the same receptive field, could aid in selecting among potential goals for an orienting movement (Li and Basso, 2005). However, cues from different senses that occur in close spatial and temporal coincidence are likely derived from a singular event.…”

Section: Cortico-sc Influence On Integration Is Multisensory-specificmentioning

confidence: 99%

Cortex Mediates Multisensory But Not Unisensory Integration in Superior Colliculus

Alvarado¹,

Stanford²,

Vaughan³

et al. 2007

J. Neurosci.

105

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Converging cortical influences from the anterior ectosylvian sulcus and the rostral lateral suprasylvian sulcus were shown to have a multisensory-specific role in the integration of sensory information in superior colliculus (SC) neurons. These observations were based on changes induced by cryogenic deactivation of these cortico-SC projections. Thus, although the results indicated that they played a critical role in integrating SC responses to stimuli derived from different senses (i.e., visual-auditory), they played no role in synthesizing its responses to stimuli derived from within the same sense (visual-visual). This was evident even in the same multisensory neurons. The results suggest that very different neural circuits have evolved to code combinations of cross-modal and within-modal stimuli in the SC, and that the differences in multisensory and unisensory integration are likely caused by differences in the configuration of each neuron's functional inputs rather than to any inherent differences among the neurons themselves. The specificity of these descending influences was also apparent in the very different ways in which they affected responses to the component cross-modal stimuli and their actual integration. Furthermore, they appeared to target only multisensory neurons and not their unisensory neighbors.

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Competitive Stimulus Interactions within Single Response Fields of Superior Colliculus Neurons

Cited by 66 publications

References 113 publications

A neural network model of multisensory integration also accounts for unisensory integration in superior colliculus

A neural network model of multisensory integration also accounts for unisensory integration in superior colliculus

Preparing to Move Increases the Sensitivity of Superior Colliculus Neurons

Cortex Mediates Multisensory But Not Unisensory Integration in Superior Colliculus

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