#NeuralManifold

Fabrizio MusacchioFabMusacchio
2026-01-09

🧠 New preprint by Shervani-Tabar, Brincat & @ekmiller on emergent in .

By aligning RNN dynamics to an empirically measured , they show that task-relevant TW can emerge through , w/o hard-coding wave dynamics or connectivity. The cool thing here is that the waves are not imposed or engineered, but emerge naturally from learning under constraints:

🌍 doi.org/10.64898/2026.01.08.69

Figure 1: Latent manifold alignment enables persistent traveling waves in the network during working memory delay

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst