Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps Christopher J. Kymn
–Neural Information Processing Systems
We propose a normative model for spatial representation in the hippocampal formation that combines optimality principles, such as maximizing coding range and spatial information per neuron, with an algebraic framework for computing in distributed representation. Spatial position is encoded in a residue number system, with individual residues represented by high-dimensional, complex-valued vectors. These are composed into a single vector representing position by a similaritypreserving, conjunctive vector-binding operation. Self-consistency between the representations of the overall position and of the individual residues is enforced by a modular attractor network whose modules correspond to the grid cell modules in entorhinal cortex.
Neural Information Processing Systems
May-29-2025, 08:32:05 GMT
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