neural_population_dynamics [Neurosurgery Wiki]

This page is read only. You can view the source, but not change it. Ask your administrator if you think this is wrong.

Neural circuits comprise [[network]]s of individual [[neuron]]s that perform sensory, [[cognitive]], and motor functions. Neuronal biophysics, together with these circuits, give rise to [[neural population]] dynamics, which express how the activity of the neural population evolves through time in principled ways
----
Achieving state-of-the-art [[performance]] with deep neural population dynamics models requires extensive [[hyperparameter tuning]] for each [[dataset]]. AutoLFADS is a model-tuning framework that automatically produces high-performing autoencoding models on data from a variety of brain areas and tasks, without behavioral or task information. We demonstrate its broad applicability on several rhesus macaque datasets: from the motor cortex during free-paced reaching, the somatosensory cortex during reaching with perturbations, and the dorsomedial frontal cortex during a cognitive timing task
((Keshtkaran MR, Sedler AR, Chowdhury RH, Tandon R, Basrai D, Nguyen SL, Sohn H, Jazayeri M, Miller LE, Pandarinath C. A large-scale neural network training framework for generalized estimation of single-trial population dynamics. Nat Methods. 2022 Nov 28. doi: 10.1038/s41592-022-01675-0. Epub ahead of print. PMID: 36443486.))