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Using reflexive behaviors of the medicinal leech to study information processing
W B Kristan1, S R Lockery, J E Lewis
1Department of Biology, University of California at San Diego, La Jolla 92093-0357, USA.
Journal of Neurobiology
|July 1, 1995
Summary
Leech local bending utilizes a distributed neural network, where most neurons activate for all movements. This distributed processing offers insights into motor control evolution across species.
Area of Science:
- Neuroscience
- Animal Behavior
- Computational Biology
Background:
- The leech nervous system provides a model for understanding motor control.
- Distributed neural networks are implicated in various animal behaviors.
- Local bending in leeches involves a complex interneuronal network.
Purpose of the Study:
- To review evidence for a distributed system controlling leech local bending.
- To define distributed processing in the context of leech motor control.
- To explore the evolutionary advantages of distributed neural networks.
Main Methods:
- Review of physiological studies on leech interneurons.
- Analysis of computational models of leech motor control.
- Comparative analysis of distributed processing in different behaviors.
Main Results:
- Evidence supports a distributed interneuronal network for leech local bending.
- Distributed processing implies widespread neuronal activation regardless of behavioral output.
- The leech network's distributed nature may be an evolutionary adaptation.
Conclusions:
- The leech local bending network exemplifies distributed control.
- Understanding distributed systems is key to deciphering complex motor behaviors.
- Evolutionary pressures may favor distributed neural architectures for robustness and flexibility.