Gerald Keith

Affiliations: 
York University, Toronto, Ontario, Canada 
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"Gerald Keith"
Mean distance: 15.41 (cluster 29)
 
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Publications

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Sajad A, Sadeh M, Keith GP, et al. (2014) Visual-Motor Transformations Within Frontal Eye Fields During Head-Unrestrained Gaze Shifts in the Monkey. Cerebral Cortex (New York, N.Y. : 1991)
Farshadmanesh F, Byrne P, Keith GP, et al. (2012) Cross-validated models of the relationships between neck muscle electromyography and three-dimensional head kinematics during gaze behavior. Journal of Neurophysiology. 107: 573-90
DeSouza JF, Keith GP, Yan X, et al. (2011) Intrinsic reference frames of superior colliculus visuomotor receptive fields during head-unrestrained gaze shifts. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 18313-26
Keith GP, Blohm G, Crawford JD. (2010) Influence of saccade efference copy on the spatiotemporal properties of remapping: a neural network study. Journal of Neurophysiology. 103: 117-39
Keith GP, DeSouza JFX, Yan X, et al. (2010) A new method for determining neuron receptive field reference-frames Journal of Vision. 8: 806-806
DeSouza JFX, Yan X, Blohm G, et al. (2010) Gaze position effects and position-dependent motor tuning from primate superior colliculus (SC) neurons during head-unrestrained visually guided movements Journal of Vision. 6: 917-917
Keith GP, Blohm G, Crawford JD. (2010) A recurrent neural network for trans-saccadic spatial updating produces receptive field remapping and suppressed moving hills Journal of Vision. 6: 500-500
Keith GP, DeSouza JF, Yan X, et al. (2009) A method for mapping response fields and determining intrinsic reference frames of single-unit activity: applied to 3D head-unrestrained gaze shifts. Journal of Neuroscience Methods. 180: 171-84
Blohm G, Keith GP, Crawford JD. (2009) Decoding the cortical transformations for visually guided reaching in 3D space. Cerebral Cortex (New York, N.Y. : 1991). 19: 1372-93
Keith GP, Crawford JD. (2008) Saccade-related remapping of target representations between topographic maps: a neural network study. Journal of Computational Neuroscience. 24: 157-78
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