A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems

• URL: http://arxiv.org/abs/2409.13669v1
• Date: Fri, 20 Sep 2024 17:25:37 GMT
• Title: A Spacetime Perspective on Dynamical Computation in Neural Information Processing Systems
• Authors: T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling,
• Abstract summary: We introduce a new'spacetime' perspective on neural computation. We show that temporal dynamics may be by which natural neural systems encode approximate visual quantities.
• Score: 43.02233537621737
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: There is now substantial evidence for traveling waves and other structured spatiotemporal recurrent neural dynamics in cortical structures; but these observations have typically been difficult to reconcile with notions of topographically organized selectivity and feedforward receptive fields. We introduce a new 'spacetime' perspective on neural computation in which structured selectivity and dynamics are not contradictory but instead are complimentary. We show that spatiotemporal dynamics may be a mechanism by which natural neural systems encode approximate visual, temporal, and abstract symmetries of the world as conserved quantities, thereby enabling improved generalization and long-term working memory.

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