Dayan, E. & Cohen, L. G. Neuroplasticity subserving motor skill learning. Neuron 72, 443–454 (2011).
Google Scholar
Shea, C. H., Lai, Q., Black, C. & Park, J. Spacing practice sessions across days benefits the learning of motor skills. Hum. Mov. Sci. 19, 737–760 (2000).
Google Scholar
Goedert, K. M. & Miller, J. Spacing practice sessions across days earlier rather than later in training improves performance of a visuomotor skill. Exp. Brain Res. 189, 189–197 (2008).
Google Scholar
Ramanathan, D. S., Gulati, T. & Ganguly, K. Sleep-dependent reactivation of ensembles in motor cortex promotes skill consolidation. PLoS Biol. 13, e1002263 (2015).
Google Scholar
Lemke, S. M. et al. Coupling between motor cortex and striatum increases during sleep over long-term skill learning. eLife 10, e64303 (2021).
Google Scholar
Kim, J., Abhilasha, J., Frank, L. & Ganguly, K. Cortical–hippocampal coupling during manifold exploration in motor cortex. Nature 613, 103–110 (2023).
Google Scholar
Bönstrup, M. et al. A rapid form of offline consolidation in skill learning. Curr. Biol. 29, 1346–1351 (2019).
Google Scholar
Buch, E. R., Claudino, L., Quentin, R., Bönstrup, M. & Cohen, L. G. Consolidation of human skill linked to waking hippocampo-neocortical replay. Cell Rep. 35, 109193 (2021).
Google Scholar
King, B. R., Gann, M. A., Mantini, D., Doyon, J. & Albouy, G. Persistence of hippocampal and striatal multivoxel patterns during awake rest after motor sequence learning. iScience 25, 105498 (2022).
Google Scholar
Wamsley, E. J., Arora, M., Gibson, H., Powell, P. & Collins, M. Memory consolidation during ultra-short offline states. J. Cogn. Neurosci. 35, 1617–1634 (2023).
Google Scholar
Hikosaka, O. et al. Parallel neural networks for learning sequential procedures. Trends Neurosci. 22, 464–471 (1999).
Google Scholar
Hikosaka, O., Nakamura, K., Sakai, K. & Nakahara, H. Central mechanisms of motor skill learning. Curr. Opin. Neurobiol. 12, 217–222 (2002).
Google Scholar
Jin, X., Tecuapetla, F. & Costa, R. M. Basal ganglia subcircuits distinctively encode the parsing and concatenation of action sequences. Nat. Neurosci. 17, 423–430 (2014).
Google Scholar
Muellbacher, W. et al. Early consolidation in human primary motor cortex. Nature 415, 640–644 (2002).
Google Scholar
Wilson, M. A. & McNaughton, B. L. Reactivation of hippocampal ensemble memories during sleep. Science 265, 676–679 (1994).
Google Scholar
Diba, K. & Buzsáki, G. Forward and reverse hippocampal place-cell sequences during ripples. Nat. Neurosci. 10, 1241–1242 (2007).
Google Scholar
Davidson, T. J., Kloosterman, F. & Wilson, M. A. Hippocampal replay of extended experience. Neuron 63, 497–507 (2009).
Google Scholar
Jadhav, S. P. et al. Awake hippocampal sharp-wave ripples support spatial memory. Science 336, 1454–1458 (2012).
Google Scholar
Vaz, A. P. et al. Replay of cortical spiking sequences during human memory retrieval. Science 367, 1131–1134 (2020).
Google Scholar
Vaz, A. P., Inati, S. K., Brunel, N. & Zaghloul, K. A. Coupled ripple oscillations between the medial temporal lobe and neocortex retrieve human memory. Science 363, 975–978 (2019).
Google Scholar
Tan, H., Jenkinson, N. & Brown, P. Dynamic neural correlates of motor error monitoring and adaptation during trial-to-trial learning. J. Neurosci. 34, 5678–5688 (2014).
Google Scholar
Howe, M. W., Atallah, H. E., McCool, A., Gibson, D. J. & Graybiel, A. M. Habit learning is associated with major shifts in frequencies of oscillatory activity and synchronized spike firing in striatum. Proc. Natl Acad. Sci. USA 108, 16801–16806 (2011).
Google Scholar
Engel, A. K. & Fries, P. Beta-band oscillations–signalling the status quo? Curr. Opin. Neurobiol. 20, 156–165 (2010).
Google Scholar
Khanna, P. & Carmena, J. M. Beta band oscillations in motor cortex reflect neural population signals that delay movement onset. eLife 6, e24573 (2017).
Google Scholar
Khanna, P. et al. Low-frequency stimulation enhances ensemble co-firing and dexterity after stroke. Cell 184, 912–930 (2021).
Google Scholar
Hikosaka, O., Rand, M. K., Miyachi, S. & Miyashita, K. Learning of sequential movements in the monkey: process of learning and retention of memory. J. Neurophysiol. 74, 1652–1661 (1995).
Google Scholar
Nakamura, K., Sakai, K. & Hikosaka, O. Effects of local inactivation of monkey medial frontal cortex in learning of sequential procedures. J. Neurophysiol. 82, 1063–1068 (1999).
Google Scholar
Gulati, T. et al. Neural reactivations during sleep determine network credit assignment. Nat. Neurosci. 20, 1277–1284 (2017).
Google Scholar
Kim, J., Gulati, T. & Ganguly, K. Competing roles of slow oscillations and delta waves in memory consolidation versus forgetting. Cell 179, 514–526 (2019).
Google Scholar
Gulati, T. et al. Reactivation of emergent task-related ensembles during slow-wave sleep after neuroprosthetic learning. Nat. Neurosci. 17, 1107–1113 (2014).
Google Scholar
Peyrache, A. et al. Replay of rule-learning related neural patterns in the prefrontal cortex during sleep. Nat. Neurosci. 12, 919–926 (2009).
Google Scholar
Gao, Y., Black, M. J., Bienenstock, E., Shoham, S. & Donoghue, J. P. in Advances in Neural Information Processing Systems, Vol. 14 (eds Dietterich, T., Becker, S. & Ghahramani, Z.) 213–220 (MIT Press, 2002).
Wu, W., Gao, Y., Bienenstock, E., Donoghue, J. P. & Black, M. J. Bayesian population decoding of motor cortical activity using a Kalman filter. Neural Comput. 18, 80–118 (2006).
Google Scholar
Georgopoulos, A. P., Schwartz, A. B. & Kettner, R. E. Neuronal population coding of movement direction. Science 233, 1416–1419 (1986).
Google Scholar
Torrecillos, F. et al. Distinct modulations in sensorimotor postmovement and foreperiod β-band activities related to error salience processing and sensorimotor adaptation. J. Neurosci. 35, 12753–12765 (2015).
Google Scholar
Feingold, J. et al. Bursts of beta oscillation differentiate postperformance activity in the striatum and motor cortex of monkeys performing movement tasks. Proc. Natl Acad. Sci. USA 112, 13687–13692 (2015).
Google Scholar
Lu, X. & Ashe, J. Anticipatory activity in primary motor cortex codes memorized movement sequences. Neuron 45, 967–973 (2005).
Google Scholar
Kurata, K. & Hoffman, D. S. Differential effects of muscimol microinjection into dorsal and ventral aspects of the premotor cortex of monkeys. J. Neurophysiol. 71, 1151–1164 (1994).
Google Scholar
Brunel, N. & Wang, X.-J. What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitation-inhibition balance. J. Neurophysiol. 90, 415–430 (2003).
Google Scholar
Ozen, S. et al. Transcranial electric stimulation entrains cortical neuronal populations in rats. J. Neurosci. 30, 11476–11485 (2010).
Google Scholar
Jadhav, S. P., Rothschild, G., Roumis, D. K. & Frank, L. M. Coordinated excitation and inhibition of prefrontal ensembles during awake hippocampal sharp-wave ripple events. Neuron 90, 113–127 (2016).
Google Scholar
Sainburg, R. L. & Wang, J. Interlimb transfer of visuomotor rotations: independence of direction and final position information. Exp. Brain Res. 145, 437–447 (2002).
Google Scholar
Scott, S. H. The role of primary motor cortex in goal-directed movements: insights from neurophysiological studies on non-human primates. Curr. Opin. Neurobiol. 13, 671–677 (2003).
Google Scholar
Gandolfo, F., Li, C., Benda, B. J., Schioppa, C. P. & Bizzi, E. Cortical correlates of learning in monkeys adapting to a new dynamical environment. Proc. Natl Acad. Sci. USA 97, 2259–2263 (2000).
Google Scholar
Kurth-Nelson, Z. et al. Replay and compositional computation. Neuron 111, 454–469 (2023).
Google Scholar
Liu, Y., Dolan, R. J., Kurth-Nelson, Z. & Behrens, T. E. J. Human replay spontaneously reorganizes experience. Cell 178, 640–652 (2019).
Google Scholar
Ramanathan, D. S. et al. Low-frequency cortical activity is a neuromodulatory target that tracks recovery after stroke. Nat. Med. 24, 1257–1267 (2018).
Google Scholar
Vöröslakos, M. et al. Direct effects of transcranial electric stimulation on brain circuits in rats and humans. Nat. Commun. 9, 483 (2018).
Google Scholar
Scangos, K. W. et al. Closed-loop neuromodulation in an individual with treatment-resistant depression. Nat. Med. 27, 1696–1700 (2021).
Google Scholar
Cole, E. J. et al. Stanford neuromodulation therapy (SNT): a double-blind randomized controlled trial. Am. J. Psychiatry 179, 132–141 (2022).
Google Scholar
Oostenveld, R., Fries, P., Maris, E. & Schoffelen, J.-M. FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput. Intell. Neurosci. 2011, 156869 (2011).
Google Scholar
Stolk, A. et al. Integrated analysis of anatomical and electrophysiological human intracranial data. Nat. Protoc. 13, 1699–1723 (2018).
Google Scholar
Ashburner, J. Computational anatomy with the SPM software. Magn. Reson. Imaging 27, 1163–1174 (2009).
Google Scholar
Cox, R. W. AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 29, 162–173 (1996).
Google Scholar
Jung, B. et al. A comprehensive macaque fMRI pipeline and hierarchical atlas. NeuroImage 235, 117997 (2021).
Google Scholar
Sakai, K. et al. Transition of brain activation from frontal to parietal areas in visuomotor sequence learning. J. Neurosci. 18, 1827–1840 (1998).
Google Scholar
Brainard, D. H. The psychophysics toolbox. Spat. Vis. 10, 433–436 (1997).
Google Scholar
Engbert, R. Microsaccades: a microcosm for research on oculomotor control, attention, and visual perception. Prog. Brain Res. 154, 177–192 (2006).
Google Scholar
Bronstein, A. M. & Kennard, C. Predictive eye saccades are different from visually triggered saccades. Vision Res. 27, 517–520 (1987).
Google Scholar
McPeek, R. M. & Keller, E. L. Short-term priming, concurrent processing, and saccade curvature during a target selection task in the monkey. Vision Res. 41, 785–800 (2001).
Google Scholar
Paré, M. & Munoz, D. P. Saccadic reaction time in the monkey: advanced preparation of oculomotor programs is primarily responsible for express saccade occurrence. J. Neurophysiol. 76, 3666–3681 (1996).
Google Scholar
Miyashita, K., Rand, M. K., Miyachi, S. & Hikosaka, O. Anticipatory saccades in sequential procedural learning in monkeys. J. Neurophysiol. 76, 1361–1366 (1996).
Google Scholar
Mathis, A. et al. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nat. Neurosci. 21, 1281–1289 (2018).
Google Scholar
Chung, J.-E. et al. A fully automated approach to spike sorting. Neuron 95, 1381–1394 (2017).
Google Scholar
Xu, W., de Carvalho, F. & Jackson, A. Sequential neural activity in primary motor cortex during sleep. J. Neurosci. 39, 3698–3712 (2019).
Google Scholar
Mitchell, J. F., Sundberg, K. A. & Reynolds, J. H. Differential attention-dependent response modulation across cell classes in macaque visual area V4. Neuron 55, 131–141 (2007).
Google Scholar
Kaufman, M. T. et al. Roles of monkey premotor neuron classes in movement preparation and execution. J. Neurophysiol. 104, 799–810 (2010).
Google Scholar
Kaufman, M. T., Churchland, M. M. & Shenoy, K. V. The roles of monkey M1 neuron classes in movement preparation and execution. J. Neurophysiol. 110, 817–825 (2013).
Google Scholar
Barthó, P. et al. Characterization of neocortical principal cells and interneurons by network interactions and extracellular features. J. Neurophysiol. 92, 600–608 (2004).
Google Scholar
Csicsvari, J., Hirase, H., Czurko, A. & Buzsáki, G. Reliability and state dependence of pyramidal cell–interneuron synapses in the hippocampus: an ensemble approach in the behaving rat. Neuron 21, 179–189 (1998).
Google Scholar
Sirota, A. et al. Entrainment of neocortical neurons and gamma oscillations by the hippocampal theta rhythm. Neuron 60, 683–697 (2008).
Google Scholar
Khodagholy, D., Gelinas, J. N. & Buzsáki, G. Learning-enhanced coupling between ripple oscillations in association cortices and hippocampus. Science 358, 369–372 (2017).
Google Scholar
Peyrache, A. et al. Principal component analysis of ensemble recordings reveals cell assemblies at high temporal resolution. J. Comput. Neurosci. 29, 309–325 (2010).
Google Scholar
Eichenlaub, J.-B. et al. Replay of learned neural firing sequences during rest in human motor cortex. Cell Rep. 31, 107581 (2020).
Google Scholar
Zhang, K., Ginzburg, I., McNaughton, B. L. & Sejnowski, T. J. Interpreting neuronal population activity by reconstruction: unified framework with application to hippocampal place cells. J. Neurophysiol. 79, 1017–1044 (1998).
Google Scholar
Dickey, C. W. et al. Cortical ripples during NREM sleep and waking in humans. J. Neurosci. 42, 7931–7946 (2022).
Google Scholar
Little, S. et al. Human motor cortical beta bursts relate to movement planning and response errors. PLoS Biol. 17, e3000479 (2019).
Google Scholar
Yu, Y. et al. Parkinsonism alters beta burst dynamics across the basal ganglia–motor cortical network. J. Neurosci. 41, 2274–2286 (2021).
Google Scholar
Stimberg, M., Brette, R. & Goodman, D. F. Brian 2, an intuitive and efficient neural simulator. eLife 8, e47314 (2019).
Google Scholar