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Related Experiment Video

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An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

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Linear visuomotor transformations in midbrain superior colliculus control saccadic eye-movements.

R F van der Willigen¹, H H L M Goossens, A J van Opstal

¹Donders Institute for Brain, Cognition, and Behaviour, Department of Biophysics, Radboud University Nijmegen, Geert Grooteplein 21, 6525 EZ Nijmegen, The Netherlands.

Journal of Integrative Neuroscience

|October 1, 2011

Summary

The linear vector summation model, not the averaging scheme, accurately explains eye movement generation and saccade kinematics. This model accounts for complex behaviors like predictive remapping and target averaging in gaze shifts.

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VisualEyes: A Modular Software System for Oculomotor Experimentation

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Published on: March 25, 2011

Area of Science:

Neuroscience
Ophthalmology
Motor Control

Background:

The superior colliculus (SC) in the midbrain initiates saccadic eye-head gaze shifts.
The precise neural decoding of SC signals by brainstem saccade generators remains debated.
Two models, vector averaging and vector summation, are proposed to explain this decoding process.

Purpose of the Study:

To compare the vector-averaging and vector summation models for eye movement generation.
To determine which model better explains neurophysiological data and saccade kinematics.
To investigate the role of predictive remapping and double-stimulation experiments in validating these models.

Main Methods:

Comparative analysis of two competing models: vector averaging (nonlinear) and vector summation (linear).
Evaluation of model predictions against neurophysiological evidence and saccade kinematics.
Incorporation of predictive remapping and double-stimulation paradigms to test model explanatory power.

Main Results:

The vector summation model successfully explains the nonlinear main sequence of saccade kinematics.
This linear model predicts specific spatial gradients in temporal burst profiles of SC cells.
The vector summation model also accounts for target averaging and curved saccades in double-step experiments, unlike the averaging model.

Conclusions:

The linear vector summation model provides a more parsimonious explanation for eye movement generation and saccade sequences.
This model aligns better with neurophysiological data and requires fewer ad-hoc assumptions than the nonlinear vector-averaging scheme.
The findings support a linear summation mechanism for decoding SC activity in gaze control.