A new article by Pandarinath et al. describes an artificial neural network model that captures some key aspects of the activity of populations of neurons in the primary motor cortex.
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Yamins, D. L. K. et al. Proc. Natl. Acad. Sci. USA 111, 8619–8624 (2014).
Yamins, D. L, Hong, H., Cadieu, C. & DiCarlo, J. J. in Advances in Neural Information Processing Systems 26 (eds Burges, C. J. C. et al.) 3093–3101 (NIPS Foundation, La Jolla, CA, 2013).
Pandarinath, C. et al. Nat. Methods. https://doi.org/10.1038/s41592-018-0109-9 (2018).
Churchland, M. M. et al. Nature 487, 51–56 (2012).
Churchland, M. M., Cunningham, J. P., Kaufman, M. T., Ryu, S. I. & Shenoy, K. V. Neuron 68, 387–400 (2010).
Cunningham, J. P. & Yu, B. M. Nat. Neurosci. 17, 1500–1509 (2014).
Sadtler, P. T. et al. Nature 512, 423–426 (2014).
Peixoto, D. et al. bioRxiv Preprint at https://www.biorxiv.org/content/early/2018/03/17/283960 (2018).
The authors declare no competing interests
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Batista, A.P., DiCarlo, J.J. Deep learning reaches the motor system. Nat Methods 15, 772–773 (2018). https://doi.org/10.1038/s41592-018-0152-6