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John Enderle

Publications and source records attributed to John Enderle.

9 recordsLinked to original sources
PubMed2005

Firing rate relationship in the saccade system neural pathway.

This paper describes the relationship among the structures of the brain involved in the control of the saccadic system. The eye position information is pre-processed by the cerebral cortex and then projected to the cerebellum where this signal is propagated to several structures that are in charge of the control and correction of the eye movement signal. Once this processing is completed, the output is propagated to the final neural stage (the motor neurons), and then to the Rectus and Oblique group of muscles of the eye. In our simulated model, the interaction of the different areas in this neural pathway and its feedback loops is shown through the correlation of the different firing rates of each structure, including background or spontaneous activity components. In order to improve portability the model is implemented with the Matrix Laboratory Language (MATLAB) and the Simulink toolbox.

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PubMed2003

A cerebellar neural network model for adaptative control of saccades implemented with MATLAB.

This paper describes the implementation of a neural network for the adaptative control of the saccadic system. The model shows the cerebellum plays an important role in the adaptive control of the saccadic gain. Using only eye position input through the granule cells, the cerebellum projects this signal to the other cerebellar structures and then to motor neurons responsible for the saccade. The generation of an adjustment signal occurs in the inferior olive as a result of the error sensory signal created by the open loop saccade system from propioceptive position inputs from the last eye movement generated by the network until the movement towards the target is completed. In addition, a memory component has been defined in the error system to achieve the adaptation. This neural network involves only the horizontal saccade component modeled with Matrix Laboratory language (MATLAB), in conjunction with the Simulink tool.

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