arXiv Machine Learning June 29, 2026 By Sichao He, Aiersi Tuerhong, Shangjun She, Tianhao Chu, Yuling Wu, Junfeng Zuo, Si Wu

CANNs: A Toolkit for Research on Continuous Attractor Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2606. 27783v1 Announce Type: cross Abstract: Continuous attractor neural networks (CANNs) are the canonical computational framework for how the brain encodes continuous variables such as spatial position, head direction, and movement direction, and explain the activity of hippocampal place cells, entorhinal grid cells, and head-direction cells.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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