NMDA receptors are involved in temporal integration in the oculomotor system of the cat

Neuroreport ◽  
1994 ◽  
Vol 5 (11) ◽  
pp. 1333-1336
Author(s):  
Philippe Mettens ◽  
Guy Cheron ◽  
Emile Godaux
Neuroreport ◽  
1994 ◽  
Vol 5 (11) ◽  
pp. 1333-1336 ◽  
Author(s):  
Philippe Mettens ◽  
Guy Cheron ◽  
Emile Godaux

2021 ◽  
Author(s):  
Andrew Miri ◽  
Brandon J. Bhasin ◽  
Emre R. F. Aksay ◽  
David W. Tank ◽  
Mark S. Goldman

A fundamental principle of biological motor control is that the neural commands driving movement must conform to the response properties of the motor plants they control. In the oculomotor system, characterizations of oculomotor plant dynamics traditionally supported models in which the plant responds to neural drive to extraocular muscles on exclusively short, subsecond timescales. These models predict that the stabilization of gaze during fixations between saccades requires neural drive that approximates eye position on longer timescales and is generated through the temporal integration of brief eye velocity-encoding signals that cause saccades. However, recent measurements of oculomotor plant behaviour have revealed responses on longer timescales, and measurements of firing patterns in the oculomotor integrator have revealed a more complex encoding of eye movement dynamics. Here we use measurements from new and published experiments in the larval zebrafish to link dynamics in the oculomotor plant to dynamics in the neural integrator. The oculomotor plant in both anaesthetized and awake larval zebrafish was characterized by a broad distribution of response timescales, including those much longer than one second. Analysis of the firing patterns of oculomotor integrator neurons, which exhibited a broadly distributed range of decay time constants, demonstrates the sufficiency of this activity for stabilizing gaze given an oculomotor plant with distributed response timescales. This work suggests that leaky integration on multiple, distributed timescales by the oculomotor integrator reflects an inverse model for generating oculomotor commands, and that multi-timescale dynamics may be a general feature of motor circuitry.


2019 ◽  
Author(s):  
Erik Nygren ◽  
Alexandro Ramirez ◽  
Brandon McMahan ◽  
Emre Aksay ◽  
Walter Senn

AbstractThere has been much focus on the mechanisms of temporal integration, but little on how circuits learn to integrate. In the adult oculomotor system, where a neural integrator maintains fixations, changes in integration dynamics can be driven by visual error signals. However, we show through dark-rearing experiments that visual inputs are not necessary for initial integrator development. We therefore propose a vision-independent learning mechanism whereby a recurrent network learns to integrate via a ‘teaching’ signal formed by low-pass filtered feedback of its population activity. The key is the segregation of local recurrent inputs onto a dendritic compartment and teaching inputs onto a somatic compartment of an integrator neuron. Model instantiation for oculomotor control shows how a self-corrective teaching signal through the cerebellum can generate an integrator with both the dynamical and tuning properties necessary to drive eye muscles and maintain gaze angle. This bootstrap learning paradigm may be relevant for development and plasticity of temporal integration more generally.Highlights- A neuronal architecture that learns to integrate saccadic commands for eye position.- Learning is based on the recurrent dendritic prediction of somatic teaching signals.- Experiment and model show that no visual feedback is required for initial integrator learning.- Cerebellum is an internal teacher for motor nuclei and integrator population.


1993 ◽  
Author(s):  
Errol B. De Souza ◽  
Doris Clouet ◽  
Edythe D. London
Keyword(s):  

2004 ◽  
Author(s):  
Kosuke Sawa ◽  
Kenneth Leising ◽  
Aaron P. Blaisdell

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