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#biologicallyplausible — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #biologicallyplausible, aggregated by home.social.

  1. 🧠 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:

    🌍 doi.org/10.64898/2026.01.08.69

    #Neuroscience #CompNeuro #NeuralDynamics #WorkingMemory

  2. 🧠 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:

    🌍 doi.org/10.64898/2026.01.08.69

    #Neuroscience #CompNeuro #NeuralDynamics #WorkingMemory

  3. 🧠 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:

    🌍 doi.org/10.64898/2026.01.08.69

    #Neuroscience #CompNeuro #NeuralDynamics #WorkingMemory

  4. 🧠 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:

    🌍 doi.org/10.64898/2026.01.08.69

    #Neuroscience #CompNeuro #NeuralDynamics #WorkingMemory

  5. 🧠 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:

    🌍 doi.org/10.64898/2026.01.08.69

    #Neuroscience #CompNeuro #NeuralDynamics #WorkingMemory