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Neuron|October 23, 2018
A Neural Population Mechanism for Rapid LearningMatthew G Perich, Juan A Gallego, Lee E Miller
Journal of Computational Neuroscience|October 9, 2018
Linear-nonlinear-time-warp-poisson models of neural activityPatrick N Lawlor, Matthew G Perich, Lee E Miller, et al.
Neuron|June 9, 2017
Neural Manifolds for the Control of MovementJuan A Gallego, Matthew G Perich, Lee E Miller, et al.
Nature Communications|February 20, 2025
A neural implementation model of feedback-based motor learningBarbara Feulner, Matthew G Perich, Lee E Miller, et al.
Biorxiv : the Preprint Server for Biology|June 9, 2023
Joanna C Chang, Matthew G Perich, Lee E Miller, et al.
Nature Communications|May 5, 2018
Population coding of conditional probability distributions in dorsal premotor cortexJoshua I Glaser, Matthew G Perich, Pavan Ramkumar, et al.
Nature Communications|May 14, 2024
De novo motor learning creates structure in neural activity that shapes adaptationJoanna C Chang, Matthew G Perich, Lee E Miller, et al.
Nature Neuroscience|January 8, 2020
Long-term stability of cortical population dynamics underlying consistent behaviorJuan A Gallego, Matthew G Perich, Raeed H Chowdhury, et al.
Elife|August 15, 2022
Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent mannerCecilia Gallego-Carracedo, Matthew G Perich, Raeed H Chowdhury, et al.
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