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Updated: May 13, 2026
09:49
Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
Published on: April 16, 2014
Transformation of context-dependent sensory dynamics into motor behavior
Roberto Latorre1, Rafael Levi, Pablo Varona
1Grupo de Neurocomputación Biológica, Dpto. de Ingeniería Informática, Escuela Politécnica Superior, Universidad Autónoma de Madrid, Madrid, Spain. roberto.latorre@uam.es
Plos Computational Biology
|March 6, 2013
Summary
Sensory networks organize motor programs through distinct dynamics. Winner-take-all drives swimming rhythms, while winnerless competition creates hunting patterns in Clione limacina.
Area of Science:
- Neuroscience
- Computational Biology
- Animal Behavior
Background:
- Sensory networks are crucial for sensory-motor transformations.
- The mollusk Clione limacina exhibits distinct motor patterns for swimming and hunting.
Purpose of the Study:
- To investigate the dual role of a sensory network in organizing context-dependent motor programs.
- To model the intrinsic dynamics of sensory networks and their impact on motor output.
Main Methods:
- Utilizing conductance-based models and electrophysiological recordings.
- Analyzing the dynamics of the gravimetric sensory network in Clione limacina.
Main Results:
- Winner-take-all dynamics in the sensory network model generate repetitive rhythms for routine swimming.
- Winnerless competition dynamics organize irregular motor patterns during hunting behavior.
- Preserved activation phase-locking in sensory signals translates to specific motor events, even with irregular timing.
Conclusions:
- The intrinsic dynamics of sensory networks are key to organizing context-dependent motor programs.
- Multifunctional sensory organs utilize intrinsic dynamics for motor coordination.
- Sensory network dynamics provide a mechanism for transforming sensory information into specific motor actions.
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