标题
Single-trial cross-area neural population dynamics during long-term skill learning
作者
关键词
-
出版物
Nature Communications
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-08-13
DOI
10.1038/s41467-020-17902-1
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Cortical Areas Interact through a Communication Subspace
- (2019) João D. Semedo et al. NEURON
- Shared Cortex-Cerebellum Dynamics in the Execution and Learning of a Motor Task
- (2019) Mark J. Wagner et al. CELL
- Emergent modular neural control drives coordinated motor actions
- (2019) Stefan M. Lemke et al. NATURE NEUROSCIENCE
- Crystal-clear treatment for allergic disease
- (2019) Judith E. Allen et al. SCIENCE
- Spontaneous behaviors drive multidimensional, brainwide activity
- (2019) Carsen Stringer et al. SCIENCE
- Unsupervised discovery of temporal sequences in high-dimensional datasets, with applications to neuroscience
- (2019) Emily L Mackevicius et al. eLife
- Single-trial neural dynamics are dominated by richly varied movements
- (2019) Simon Musall et al. NATURE NEUROSCIENCE
- Neural mechanisms of movement planning: motor cortex and beyond
- (2018) Karel Svoboda et al. CURRENT OPINION IN NEUROBIOLOGY
- Low-frequency cortical activity is a neuromodulatory target that tracks recovery after stroke
- (2018) Dhakshin S. Ramanathan et al. NATURE MEDICINE
- Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response
- (2018) Abigail A. Russo et al. NEURON
- Learning and attention reveal a general relationship between population activity and behavior
- (2018) A. M. Ni et al. SCIENCE
- A Neural Population Mechanism for Rapid Learning
- (2018) Matthew G. Perich et al. NEURON
- Distinct timescales of population coding across cortex
- (2017) Caroline A. Runyan et al. NATURE
- Navigating the Neural Space in Search of the Neural Code
- (2017) Mehrdad Jazayeri et al. NEURON
- A Map of Anticipatory Activity in Mouse Motor Cortex
- (2017) Tsai-Wen Chen et al. NEURON
- A Fully Automated Approach to Spike Sorting
- (2017) Jason E. Chung et al. NEURON
- Emergence of Coordinated Neural Dynamics Underlies Neuroprosthetic Learning and Skillful Control
- (2017) Vivek R. Athalye et al. NEURON
- A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning
- (2017) Roman F. Loonis et al. NEURON
- Transformation of Cortex-wide Emergent Properties during Motor Learning
- (2017) Hiroshi Makino et al. NEURON
- Rapid Identification of Cortical Motor Areas in Rodents by High-Frequency Automatic Cortical Stimulation and Novel Motor Threshold Algorithm
- (2017) Mitsuaki Takemi et al. Frontiers in Neuroscience
- Opponent and bidirectional control of movement velocity in the basal ganglia
- (2016) Eric A. Yttri et al. NATURE
- A cortical–hippocampal–cortical loop of information processing during memory consolidation
- (2016) Gideon Rothschild et al. NATURE NEUROSCIENCE
- Primary motor and sensory cortical areas communicate via spatiotemporally coordinated networks at multiple frequencies
- (2016) Fritzie I. Arce-McShane et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Demixed principal component analysis of neural population data
- (2016) Dmitry Kobak et al. eLife
- An automated behavioral box to assess forelimb function in rats
- (2015) Chelsea C. Wong et al. JOURNAL OF NEUROSCIENCE METHODS
- Acute off-target effects of neural circuit manipulations
- (2015) Timothy M. Otchy et al. NATURE
- The Nature of Shared Cortical Variability
- (2015) I-Chun Lin et al. NEURON
- Motor Cortex Is Required for Learning but Not for Executing a Motor Skill
- (2015) Risa Kawai et al. NEURON
- Motor Learning Consolidates Arc-Expressing Neuronal Ensembles in Secondary Motor Cortex
- (2015) Vania Yu Cao et al. NEURON
- Sleep-Dependent Reactivation of Ensembles in Motor Cortex Promotes Skill Consolidation
- (2015) Dhakshin S. Ramanathan et al. PLOS BIOLOGY
- Dynamics of Neural Population Responses in Prefrontal Cortex Indicate Changes of Mind on Single Trials
- (2014) Roozbeh Kiani et al. CURRENT BIOLOGY
- Neural constraints on learning
- (2014) Patrick T. Sadtler et al. NATURE
- Emergence of reproducible spatiotemporal activity during motor learning
- (2014) Andrew J. Peters et al. NATURE
- Reactivation of emergent task-related ensembles during slow-wave sleep after neuroprosthetic learning
- (2014) Tanuj Gulati et al. NATURE NEUROSCIENCE
- Cortical activity in the null space: permitting preparation without movement
- (2014) Matthew T Kaufman et al. NATURE NEUROSCIENCE
- Dimensionality reduction for large-scale neural recordings
- (2014) John P Cunningham et al. NATURE NEUROSCIENCE
- Neural antecedents of self-initiated actions in secondary motor cortex
- (2014) Masayoshi Murakami et al. NATURE NEUROSCIENCE
- Different Modulation of Common Motor Information in Rat Primary and Secondary Motor Cortices
- (2014) Akiko Saiki et al. PLoS One
- Cortical Control of Arm Movements: A Dynamical Systems Perspective
- (2013) Krishna V. Shenoy et al. Annual Review of Neuroscience
- Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills
- (2012) Aaron C. Koralek et al. NATURE
- A selectionist account of de novo action learning
- (2011) Rui M Costa CURRENT OPINION IN NEUROBIOLOGY
- FUNCTIONAL RECOVERY FOLLOWING MOTOR CORTEX LESIONS IN NON-HUMAN PRIMATES: EXPERIMENTAL IMPLICATIONS FOR HUMAN STROKE PATIENTS
- (2011) WARREN G. DARLING et al. Journal of Integrative Neuroscience
- Reversible large-scale modification of cortical networks during neuroprosthetic control
- (2011) Karunesh Ganguly et al. NATURE NEUROSCIENCE
- Neural Syntax: Cell Assemblies, Synapsembles, and Readers
- (2010) György Buzsáki NEURON
- Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity
- (2009) Byron M. Yu et al. JOURNAL OF NEUROPHYSIOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started