1. Linear ensemble-coding in midbrain superior colliculus specifies the saccade kinematics
- Author
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A. J. Van Opstal and H.H.L.M. Goossens
- Subjects
Superior Colliculi ,Time Factors ,General Computer Science ,Models, Neurological ,Biophysics ,Action Potentials ,Kinematics ,Feedback ,03 medical and health sciences ,0302 clinical medicine ,Cognitive neurosciences [UMCN 3.2] ,Perception and Action [DCN 1] ,Reaction Time ,Saccades ,Animals ,Computer vision ,Attention ,Nonlinearity ,030304 developmental biology ,Neurons ,0303 health sciences ,Original Paper ,Quantitative Biology::Neurons and Cognition ,business.industry ,Superior colliculus ,Linear model ,Eye movement ,Main sequence ,Biomechanical Phenomena ,Monkey ,Nonlinear system ,Population coding ,Saccade ,Linear Models ,Spatial accuracy ,Artificial intelligence ,Brainstem ,Visual Fields ,business ,Psychology ,Neural coding ,Algorithm ,030217 neurology & neurosurgery ,Photic Stimulation ,Computer Science(all) ,Biotechnology - Abstract
Contains fulltext : 69496.pdf (author's version ) (Open Access) Contains fulltext : 69496.pdf (Publisher’s version ) (Closed access) Recently, we proposed an ensemble-coding scheme of the midbrain superior colliculus (SC) in which, during a saccade, each spike emitted by each recruited SC neuron contributes a fixed minivector to the gaze-control motor output. The size and direction of this 'spike vector' depend exclusively on a cell's location within the SC motor map (Goossens and Van Opstal, in J Neurophysiol 95: 2326-2341, 2006). According to this simple scheme, the planned saccade trajectory results from instantaneous linear summation of all spike vectors across the motor map. In our simulations with this model, the brainstem saccade generator was simplified by a linear feedback system, rendering the total model (which has only three free parameters) essentially linear. Interestingly, when this scheme was applied to actually recorded spike trains from 139 saccade-related SC neurons, measured during thousands of eye movements to single visual targets, straight saccades resulted with the correct velocity profiles and nonlinear kinematic relations ('main sequence properties' and 'component stretching'). Hence, we concluded that the kinematic nonlinearity of saccades resides in the spatial-temporal distribution of SC activity, rather than in the brainstem burst generator. The latter is generally assumed in models of the saccadic system. Here we analyze how this behaviour might emerge from this simple scheme. In addition, we will show new experimental evidence in support of the proposed mechanism.
- Published
- 2007