Neural organization of the locomotive oscillator
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We study the relation of neural development, organization, and activity to behavior. We provide a model of the locomotive oscillator, a neural system supplying alternating stimulation to extensor and flexor muscles creating an oscillatory motion. We propose a protocol by which this neural system starting from unstructured, unconnected neural populations develops structure and function. The protocol is studied by both computer simulation and mathematical analysis. Our main results are 1 The locomotive oscillator self-organizes and maintains its organization, assuming certain properties of the neural populations. 2 Imperfections disturbing the functional adequacy of the neural populations may lead to the deterioration and disappearance of the oscillatory behavior. 3 The locomotive oscillator may fail to organize if the development is not staged in time.
KeywordsComputer Simulation Mathematical Analysis Neural System Oscillatory Behavior Neural Development
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- Edelman GM (1987) Neural Darwinism: the theory of neuronal group selection. Basic Books, New YorkGoogle Scholar
- Granger R, Ambros-Ingerson J, Lynch G (1989) Derivation of encoding characteristics of layer II cerebral cortex. J Cogn Neurosci 1:61–87Google Scholar
- Hebb DO (1949) The organization of behavior. Wiley, New YorkGoogle Scholar
- Lorenz KZ (1981) The foundations of ethology. Springer, New York Berlin HeidelbergGoogle Scholar
- Miller KD, Keller JB, Stryker MP (1989) Ocular dominance column development: analysis and simulation. Science 245:605–615Google Scholar
- Miller S, Scott PD (1987) The spinal locomotor generator. Exp Brain Res 30:387–403Google Scholar
- Pearson JC, Finkel LH, Edelman GM (1987) Plasticity in the organization of adult cerebral cortical maps: a computer simulation based on neuronal group selection. J Neurosci 7:4209–4223Google Scholar
- Reeke GN, Sporns O, Edelman GM (1990) Synthetic neural modeling: the “Darwin” series of recognition automata. Proc IEEE 78:1498–1530Google Scholar
- Sporns O, Tononi G, Edelman GM (1991) Modeling perceptual grouping and figure-ground segregation by means of active reentrant connections. Proc Natl Acad Sci USA 88:129–133Google Scholar
- Willner BE, Miranker WL, Liu CP (1990) Neural organization of the locomotive oscillator. IBM Research Report YH-16390Google Scholar