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The Grossberg Code: Universal Neural Network Signatures of Perceptual Experience

Birgitta Dresp

发表年份
2023
引用次数
6
访问权限
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摘要

Two universal functional principles of Grossberg’s Adaptive Resonance Theory decipher the brain code of all biological learning and adaptive intelligence. Low-level representations of multisensory stimuli in their immediate environmental context are formed on the basis of bottom-up activation and under the control of top-down matching rules that integrate high-level, long-term traces of contextual configuration. These universal coding principles lead to the establishment of lasting brain signatures of perceptual experience in all living species, from aplysiae to primates. They are re-visited in this concept paper on the basis of examples drawn from the original code and from some of the most recent related empirical findings on contextual modulation in the brain, highlighting the potential of Grossberg’s pioneering insights and groundbreaking theoretical work for intelligent solutions in the domain of developmental and cognitive robotics.

关键词

PerceptionComputer scienceArtificial intelligenceCognitive scienceCoding (social sciences)Functional magnetic resonance imagingCode (set theory)Context (archaeology)DECIPHERCognition

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