期刊
COGNITIVE PROCESSING
卷 9, 期 2, 页码 83-92出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s10339-007-0193-8
关键词
Small world; Non-linear dynamics; Perception; Spontaneous activity; Complex systems; Evolving and growing neural networks; Cognitive modeling
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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