Nov 18, 2005

Schema-based learning of adaptable and flexible prey-catching in anurans I. The basic architecture

Biological cybernetics
F CorbachoM A Arbib


A motor action often involves the coordination of several motor synergies and requires flexible adjustment of the ongoing execution based on feedback signals. To elucidate the neural mechanisms underlying the construction and selection of motor synergies, we study prey-capture in anurans. Experimental data demonstrate the intricate interaction between different motor synergies, including the interplay of their afferent feedback signals (Weerasuriya 1991; Anderson and Nishikawa 1996). Such data provide insights for the general issues concerning two-way information flow between sensory centers, motor circuits and periphery in motor coordination. We show how different afferent feedback signals about the status of the different components of the motor apparatus play a critical role in motor control as well as in learning. This paper, along with its companion paper, extend the model by Liaw et al. (1994) by integrating a number of different motor pattern generators, different types of afferent feedback, as well as the corresponding control structure within an adaptive framework we call Schema-Based Learning. We develop a model of the different MPGs involved in prey-catching as a vehicle to investigate the following questions: What a...Continue Reading

  • References38
  • Citations7


Mentioned in this Paper

Behavior, Animal
Memory Training
Hypoglossal Nerve Structure
Biological Adaptation
Physical Stimulation
Feedback - System Communication
Catch - Finding of Sensory Dimension of Pain
Neural Network Simulation

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