Journal
COGNITIVE PROCESSING
Volume 9, Issue 2, Pages 83-92Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s10339-007-0193-8
Keywords
Small world; Non-linear dynamics; Perception; Spontaneous activity; Complex systems; Evolving and growing neural networks; Cognitive modeling
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In connectionism and its offshoots, models acquire functionality through externally controlled learning schedules. This undermines the claim of these models to autonomy. Providing these models with intrinsic biases is not a solution, as it makes their function dependent on design assumptions. Between these two alternatives, there is room for approaches based on spontaneous self-organization. Structural reorganization in adaptation to spontaneous activity is a well-known phenomenon in neural development. It is proposed here as a way to prepare connectionist models for learning and enhance the autonomy of these models.
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