Rate-Coding Bundle Memory: A Unified Model of Memory and Control for Symbolic Computation in the Brain

• URL: http://arxiv.org/abs/2608.29189v1
• Date: Sat, 29 Aug 2026 10:51:47 GMT
• Title: Rate-Coding Bundle Memory: A Unified Model of Memory and Control for Symbolic Computation in the Brain
• Abstract summary: We propose a neurobiologically plausible model of cognition that combines the advantages of connectionist and symbolic systems.<n>We argue that Rate-Coding Bundle Memory provides a promising framework for understanding the nature of cognition.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: We propose a neurobiologically plausible model of cognition that combines the advantages of connectionist and symbolic systems, and that can explain a wide range of cognitive phenomena. This model, called Rate-Coding Bundle Memory (RCBM), is based on the Symbolic Subsystem Hypothesis, which posits that the brain implements a symbolic subsystem within its fundamentally connectionist nature. RCBM is a hybrid model that uses rate coding to represent symbols in a continuous space, and it uses a bundle memory system to store and retrieve these symbols. The model is capable of solving a wide range of cognitive phenomena, including one-shot learning, pattern separation, and the binding problem. We argue that RCBM provides a promising framework for understanding the nature of cognition, and that it can be used to develop more sophisticated models of cognition in the future.

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