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Fabrizio Musacchio
Fabrizio Musacchio
@FabMusacchio@mastodon.social  路  activity timestamp last week

馃 New preprint by Shervani-Tabar, Brincat & @ekmiller on emergent #TravelingWaves in #RNN.

By aligning RNN dynamics to an empirically measured #NeuralManifold, they show that task-relevant TW can emerge through #learning, 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 #BiologicallyPlausible constraints:

馃實 https://doi.org/10.64898/2026.01.08.698281

#Neuroscience #CompNeuro #NeuralDynamics #WorkingMemory

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

Emergent Traveling Waves in Neural Circuits

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