The location of motor-related activity in the deeper layers of the superior colliculus (SC) is thought to generate a desired displacement command specifying the amplitude and direction of saccadic eye movements. However, the amplitude of saccadic eye movements made to visual targets can be systematically altered by surreptitiously moving the target location after the saccade has been initiated. Depending on whether the target is moved closer to or further from the fixation location, adaptation of saccade amplitude results in movements that are either smaller or larger than control movements. It remains an open question whether the SC specifies the desired movement to the original target location or whether SC activity specifies the vector of the amplitude-altered movement that is observed as adaptation progresses. We investigated this question by recording the activity of saccade-related burst neurons in the SC of head-restrained rhesus monkeys during both backward and forward saccadic adaptation. During adaptation in each direction, we find no evidence that is consistent with a change in the locus of SC activity despite changes in saccade amplitude; the location of SC motor-related activity does not appear to be remapped during either forward or backward saccadic adaptation. These data are inconsistent with hypotheses that propose a key role for the SC in mediating the changes in saccade amplitude observed during adaptation.
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http://dx.doi.org/10.1523/JNEUROSCI.3111-10.2010 | DOI Listing |
Traffic Inj Prev
January 2025
School of Intelligent Transportation and Engineering, Guangzhou Maritime University, Guangzhou, China.
Objective: The objective of this study was to assess drivers' visual search patterns and cognitive load during driving in curved tunnels. Specifically, we aimed to investigate how different curved tunnel geometries (tunnel radii, turning directions) and zones (entrance, middle, exit) influence drivers' saccadic eye movements. This understanding can inform the development of safer tunnel designs and driving guidelines.
View Article and Find Full Text PDFCell Rep
January 2025
Department of Clinical Neurological Sciences, London Health Sciences Centre, Western University, London, ON, Canada; Department of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada; Western Institute for Neuroscience, Western University, London, ON, Canada.
Cortical neurons in brain slices display intrinsic spike frequency adaptation (I-SFA) to constant current inputs, while extracellular recordings show extrinsic SFA (E-SFA) during sustained visual stimulation. Inferring how I-SFA contributes to E-SFA during behavior is challenging due to the isolated nature of slice recordings. To address this, we recorded macaque lateral prefrontal cortex (LPFC) neurons in vivo during a visually guided saccade task and in vitro in brain slices.
View Article and Find Full Text PDFProg Neurobiol
December 2024
School of Biological Sciences, Seoul National University (SNU), Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea. Electronic address:
The putamen is thought to generate habitual actions by processing value information relayed from the ventral striatum through the caudate nucleus. However, it is a question what value the putamen neurons process and whether the putamen receives serially processed value through the striatal structures. We found that neurons in the primate putamen, caudate, and ventral striatum selectively encoded flexibly updated values for adaptive behaviors with similar learning speeds, rather than stably sustained values for habit.
View Article and Find Full Text PDFSci Rep
December 2024
School of Computing, University of Leeds, Leeds, UK.
Human visual attention allows prior knowledge or expectations to influence visual processing, allocating limited computational resources to only that part of the image that are likely to behaviourally important. Here, we present an image recognition system based on biological vision that guides attention to more informative locations within a larger parent image, using a sequence of saccade-like motions. We demonstrate that at the end of the saccade sequence the system has an improved classification ability compared to the convolutional neural network (CNN) that represents the feedforward part of the model.
View Article and Find Full Text PDFDespite its prevalence in studying the causal roles of different brain circuits in cognitive processes, electrical microstimulation often results in inconsistent behavioral effects. These inconsistencies are assumed to be due to multiple mechanisms, including habituation, compensation by other brain circuits, and contralateral suppression. Considering the presence of reinforcement in most experimental paradigms, we hypothesized that interactions between reward feedback and microstimulation could contribute to inconsistencies in behavioral effects of microstimulation.
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