Abstract
Motor cortex neuronal ensemble spiking activity exhibits strong low-dimensional collective dynamics (i.e., coordinated modes of activity) during behavior. Here, we demonstrate that these low-dimensional dynamics, revealed by unsupervised latent state-space models, can provide as accurate or better reconstruction of movement kinematics as direct decoding from the entire recorded ensemble. Ensembles of single neurons were recorded with triple microelectrode arrays (MEAs) implanted in ventral and dorsal premotor (PMv, PMd) and primary motor (M1) cortices while nonhuman primates performed 3-D reach-to-grasp actions. Low-dimensional dynamics were estimated via various types of latent state-space models including, for example, Poisson linear dynamic system (PLDS) models. Decoding from low-dimensional dynamics was implemented via point process and Kalman filters coupled in series. We also examined decoding based on a predictive subsampling of the recorded population. In this case, a supervised greedy procedure selected neuronal subsets that optimized decoding performance. When comparing decoding based on predictive subsampling and latent state-space models, the size of the neuronal subset was set to the same number of latent state dim...Continue Reading
References
Feb 9, 1999·Neural Computation·S Roweis, Z Ghahramani
Jun 14, 2003·Neural Computation·Anne C Smith, Emery N Brown
Apr 9, 2004·Neural Computation·Uri T EdenEmery N Brown
Sep 10, 2004·Journal of Neurophysiology·Wilson TruccoloEmery N Brown
Dec 16, 2005·Neural Computation·Wei WuMichael J Black
Dec 28, 2005·Neural Computation·David T WestwickEric J Perreault
Mar 20, 2009·Journal of Neurophysiology·Gopal SanthanamKrishna V Shenoy
Apr 10, 2009·Journal of Neurophysiology·Byron M YuManeesh Sahani
Aug 4, 2009·Journal of Computational Neuroscience·Liam PaninskiWei Wu
Dec 8, 2009·Nature Neuroscience·Wilson TruccoloJohn P Donoghue
Apr 3, 2010·Journal of Neuroscience Methods·Vernon LawhernLiam Paninski
Jul 28, 2010·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Carlos E Vargas-IrwinJohn P Donoghue
Dec 14, 2011·Journal of Neurophysiology·Arjun K BansalJohn P Donoghue
May 19, 2012·Nature·Leigh R HochbergJohn P Donoghue
Jun 23, 2012·Nature·Mark M ChurchlandKrishna V Shenoy
Sep 8, 2012·Journal of Neural Engineering·Ariel TankusShy Shoham
Sep 25, 2012·Nature Neuroscience·Ashok Litwin-Kumar, Brent Doiron
Oct 30, 2012·Nature Neuroscience·Mark M Churchland, L F Abbott
Aug 29, 2014·Nature·Patrick T SadtlerAaron P Batista
Citations
Jul 26, 2016·Frontiers in Neuroscience·Karen E Schroeder, Cynthia A Chestek
Mar 25, 2017·Journal of Physiology, Paris·Wilson Truccolo
Jan 20, 2017·Journal of Neurophysiology·Michael E RuleWilson Truccolo
Nov 11, 2017·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Stefan L SumskySabato Santaniello
Feb 15, 2018·Journal of Neurophysiology·Michael E RuleWilson Truccolo
Aug 28, 2018·Neural Computation·Michael Rule, Guido Sanguinetti
Feb 6, 2019·Journal of Neural Engineering·Shizhao LiuZhe Chen
Jul 25, 2019·Neural Computation·Ali YousefiUri T Eden
May 17, 2019·Journal of Neural Engineering·Yuxiao YangMaryam M Shanechi
Nov 5, 2019·PLoS Computational Biology·Michael E RuleGuido Sanguinetti
Dec 2, 2017·Journal of Neural Engineering·Joseph G MakinPhilip N Sabes
Oct 23, 2019·Frontiers in Neuroscience·David XingDavid Borton
Feb 25, 2017·PLoS Computational Biology·Felipe GerhardWilson Truccolo
Jan 10, 2017·Frontiers in Neuroscience·Simin LiZheng Li
Nov 11, 2020·Nature Neuroscience·Omid G SaniMaryam M Shanechi
Jan 29, 2021·Nature Communications·Hamidreza AbbaspourazadMaryam M Shanechi
Dec 1, 2020·Journal of Neural Engineering·Yuxiao YangMaryam M Shanechi
Sep 21, 2021·Physiological Reviews·Chethan Pandarinath, Sliman J Bensmaia