neural integrator
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2020 ◽  
Vol 81 (11) ◽  
pp. 1-8
Author(s):  
Jesse Panthagani ◽  
Jasvir Virdee ◽  
Trystan MacDonald ◽  
Alice Bruynseels ◽  
Ruchika Batra

Nystagmus is the repetitive to and fro movement of the eyes, which may be physiological or pathological. The movements can be horizontal, vertical, torsional or a combination of these movements. It starts by a slow movement of the eye away from the visual target. The second movement brings the eye back to the visual target. If this second movement is quick, the nystagmus is called jerk nystagmus. If the second movement is slow, the nystagmus is said to be pendular. Maintaining steady gaze is dependent upon visual fixation, the vestibulo-ocular reflex and the gaze-holding neural integrator system. Pathological nystagmus typically presents with the symptom of oscillopsia, which is the illusory movement of the surrounding environment. Nystagmus that develops outside of early infancy is termed acquired nystagmus. There may be serious underlying pathology that will require further investigation and management. This article reviews the terminology, pathophysiology, causes and treatment of acquired nystagmus.


Author(s):  
Weronika Wojtak ◽  
Flora Ferreira ◽  
Paulo Vicente ◽  
Luís Louro ◽  
Estela Bicho ◽  
...  

2019 ◽  
Vol 116 (45) ◽  
pp. 22783-22794 ◽  
Author(s):  
David J. Heeger ◽  
Wayne E. Mackey

Working memory is an example of a cognitive and neural process that is not static but evolves dynamically with changing sensory inputs; another example is motor preparation and execution. We introduce a theoretical framework for neural dynamics, based on oscillatory recurrent gated neural integrator circuits (ORGaNICs), and apply it to simulate key phenomena of working memory and motor control. The model circuits simulate neural activity with complex dynamics, including sequential activity and traveling waves of activity, that manipulate (as well as maintain) information during working memory. The same circuits convert spatial patterns of premotor activity to temporal profiles of motor control activity and manipulate (e.g., time warp) the dynamics. Derivative-like recurrent connectivity, in particular, serves to manipulate and update internal models, an essential feature of working memory and motor execution. In addition, these circuits incorporate recurrent normalization, to ensure stability over time and robustness with respect to perturbations of synaptic weights.


2019 ◽  
Vol 125 ◽  
pp. 45-54 ◽  
Author(s):  
Alexey Sedov ◽  
Svetlana Usova ◽  
Ulia Semenova ◽  
Anna Gamaleya ◽  
Alexey Tomskiy ◽  
...  

2018 ◽  
Vol 9 ◽  
Author(s):  
Peter Bede ◽  
Eoin Finegan ◽  
Rangariroyashe H. Chipika ◽  
Stacey Li Hi Shing ◽  
Jeffrey Lambe ◽  
...  

2018 ◽  
Vol 49 (3) ◽  
pp. 1629-1648 ◽  
Author(s):  
Luis A. Vázquez ◽  
Francisco Jurado ◽  
Carlos E. Castañeda ◽  
Alma Y. Alanis

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