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arXiv · 2608.29189

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

Teun van Gils·Rowan P. Sommers·Markus Ostarek·Peter Hagoort
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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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Teun van Gils, Rowan P. Sommers, Markus Ostarek, Peter Hagoort. 2026-08-29. Rate-Coding Bundle Memory: A Unified Model of Memory and Control for Symbolic Computation in the Brain. https://arxiv.org/abs/2608.29189

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