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awillats / dynamics-in-neuro-reading-list

This reading list is centered around the practical application of linear dynamical systems models to predict neural data
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Suggested additions from Neuromatch Conference Attendees #2

Open awillats opened 2 years ago

awillats commented 2 years ago

Suggested by Emmanuelle Tognoli: Scholz, J.P. and Schöner, G., 1999. The uncontrolled manifold concept: identifying control variables for a functional task. Experimental brain research, 126(3), pp.289-306. https://link.springer.com/content/pdf/10.1007/s002210050738.pdf

Pillai, A.S. and Jirsa, V.K., 2017. Symmetry breaking in space-time hierarchies shapes brain dynamics and behavior. Neuron, 94(5), pp.1010-1026.

Suggested by Raeed: Steve Strogatz's course on nonlinear dynamical systems: https://youtube.com/playlist?list=PLbN57C5Zdl6j_qJA-pARJnKsmROzPnO9V

awillats commented 2 years ago

Make sure there's a reference to https://neurallatents.github.io/

Pei F, Ye J, Zoltowski D, Wu A, Chowdhury RH, Sohn H, O’Doherty JE, Shenoy KV, Kaufman MT, Churchland MM, Jazayeri M, Miller LE, Pillow J, Park IM, Dyer EL, Pandarinath C. (2021) Neural Latents Benchmark ’21: Evaluating latent variable models of neural population activity. Advances in Neural Information Processing Systems (NeurIPS) 34, Track on Datasets and Benchmarks, to appear