🧠 New preprint by Zhong et al. proposes a #synaptic mechanism for #chunking in #WorkingMemory.

Using short-term #plasticity and synaptic augmentation, their model shows how items can be temporarily suppressed and later retrieved as chunks, increasing effective capacity w/o increasing simultaneous activity.

🌍 https://doi.org/10.7554/eLife.109538.1

#Neuroscience #CompNeuro #SynapticPlasticity

🧠 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:

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

#Neuroscience #CompNeuro #NeuralDynamics #WorkingMemory

🧠 New paper by Deistler et al: #JAXLEY: differentiable #simulation for large-scale training of detailed #biophysical #models of #NeuralDynamics.

They present a #differentiable #GPU accelerated #simulator that trains #morphologically detailed biophysical #neuron models with #GradientDescent. JAXLEY fits intracellular #voltage and #calcium data, scales to 1000s of compartments, trains biophys. #RNNs on #WorkingMemory tasks & even solves #MNIST.

🌍 https://doi.org/10.1038/s41592-025-02895-w

#Neuroscience #CompNeuro

I forgot how old I am again.

Was it 30 or 31....

#ADHD #memoryissues #workingmemory