ReviewPhysiological reports2020
Spatiotemporal transformations for gaze control.
Review in Physiological reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 33 citations in OpenAlex.
- Effects of Frequency-Labeled Narrowband Noise on Postural Stability and Cortical Activation: An fNIRS Study.Brain sciences · 2026Article
- Drifting population dynamics with transient resets characterize sensorimotor transformation in the monkey superior colliculus.Communications biology · 2026Article
- The Visual Umwelt of primates and Hippocampal Representations of Space.Hippocampus · 2026Review
- Adaptation across the 2D population code explains the spatially distributive nature of motor learning.PLoS computational biology · 2025Article
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- Integration of landmark and saccade target signals in macaque frontal cortex visual responses.Communications biology · 2023Article
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- Rapid Input-Output Transformation between Local Field Potential and Spiking Activity during Sensation but not Action in the Superior Colliculus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Different strategies in pointing tasks and their impact on clinical bedside tests of spatial orientation.Journal of neurology · 2022Article
- The role of temporal cortex in the control of attention.Current research in neurobiology · 2022Review
- Depression and Cognitive Impairment: Current Understanding of Its Neurobiology and Diagnosis.Neuropsychiatric disease and treatment · 2022Review
- Design and Preliminary Evaluation of a Tongue-Operated Exoskeleton System for Upper Limb Rehabilitation.International journal of environmental research and public health · 2021Article
- Spatiotemporal transformations for gaze control.Physiological reports · 2020Review
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- Article
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
Sensorimotor transformations require spatiotemporal coordination of signals, that is, through both time and space. For example, the gaze control system employs signals that are time-locked to various sensorimotor events, but the spatial content of these signals is difficult to assess during ordinary gaze shifts. In this review, we describe the various models and methods that have been devised to test this question, and their limitations. We then describe a new method that can (a) simultaneously test between all of these models during natural, head-unrestrained conditions, and (b) track the evolving spatial continuum from target (T) to future gaze coding (G, including errors) through time. We then summarize some applications of this technique, comparing spatiotemporal coding in the primate frontal eye field (FEF) and superior colliculus (SC). The results confirm that these areas preferentially encode eye-centered, effector-independent parameters, and show-for the first time in ordinary gaze shifts-a spatial transformation between visual and motor responses from T to G coding. We introduce a new set of spatial models (T-G continuum) that revealed task-dependent timing of this transformation: progressive during a memory delay between vision and action, and almost immediate without such a delay. We synthesize the results from our studies and supplement it with previous knowledge of anatomy and physiology to propose a conceptual model where cumulative transformation noise is realized as inaccuracies in gaze behavior. We conclude that the spatiotemporal transformation for gaze is both local (observed within and across neurons in a given area) and distributed (with common signals shared across remote but interconnected structures).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.