Stimulus onset quenches neural variability: A widespread cortical phenomenon

Churchland, Mark M, Yu, Byron M, Cunningham, John P, Sugrue, Leo P, Cohen, Marlene R, Corrado, Greg S, Newsome, William T, Clark, Andrew M +18 more·2010·Nature Neuroscience
DOI 10.1038/nn.2501

Cited by (1,001)

Items 801–900 of 1,001

  1. What Can Trial-to-Trial Variability Tell Us? A Distribution-Based Approach to Spike Train Decoding in the Rat Hippocampus and Entorhinal Cortex
    Michael J. Prerau, Uri T. Eden · 2017 · Springer eBooks
  2. Local networks from different parts of the human cerebral cortex generate and share the same population dynamic
    Alex Willumsen, Jens Midtgaard, Bo Jespersen, Christoffer K.K. Hansen, Salina N. Lam, Sabine Hansen, Ron C. Kupers, Martin Ejler Fabricius, Minna Litman, Lars Hageman Pinborg et al. · 2022 · Cerebral Cortex Communications
  3. Nonlinear Filtering Methods in Conditions of Uncertainty
    Rinat Galiautdinov · 2023 · Advances in computational intelligence and robotics book series
  4. New Frontiers in Population Recording
    George W. Fraser · 2011 · D-Scholarship@Pitt (University of Pittsburgh)
  5. Key features of neural variability emerge from self-organized sequence learning in a deterministic neural network
    Christoph Hartmann, Andreea Lazăr, Jochen Triesch · 2015 · BMC Neuroscience
  6. Realistic Spiking Neuron Statistics in a Population are Described by a Single Parametric Distribution
    Lauren Crow · 2016 · SIAM Undergraduate Research Online
  7. Methods for Building Network Models of Neural Circuits
    Brian DePasquale · 2016
  8. Visual stimulation quenches global alpha range activity in awake primate V4: a case study
    Thomas Deneux, Timothée Masquelier, María A. Bermúdez, Guillaume S. Masson, Gustavo Deco, Ivo Vanzetta · 2017 · Neurophotonics
  9. Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity
    Nareg Berberian, Matt Ross, Sylvain Chartier · 2019 · Computational Intelligence and Neuroscience
  10. Persistent gamma spiking in SI non-sensory fast-spiking cells predicts perceptual success
    Hyeyoung Shin, Christopher Moore · 2019 · IBRO Reports
  11. Information capacity and robustness of encoding in the medial prefrontal cortex are modulated by the bioavailability of serotonin and the time elapsed from the cue during a reward-driven task
    A. Ezequiel Pereyra, Camilo J. Mininni, B. Silvano Zanutto · 2021 · Scientific Reports
  12. Exploring electroencephalography with a model inspired by quantum mechanics
    Nicholas J. M. Popiel, Colin Metrow, Geoffrey Laforge, Adrian Mark Owen, Bobby Boge Stojanoski, Andrea Soddu · 2021 · Scientific Reports
  13. Drifting population dynamics with transient resets characterize sensorimotor transformation in the monkey superior colliculus
    Michelle R. Heusser, Uday K. Jagadisan, Eve C. Ayar, Clara Bourrelly, Neeraj J. Gandhi · 2026 · Communications Biology
  14. Multi-band oscillations emerge from a simple spiking network
    Tianyi Wu, Yuhang Cai, Ruilin Zhang, Zhongyi Wang, Louis Tao, Zhuo-Cheng Xiao · 2023 · Chaos An Interdisciplinary Journal of Nonlinear Science
  15. Dynamic Modeling of Spike Count Data With Conway-Maxwell Poisson Variability
    Ganchao Wei, Ian H. Stevenson · 2023 · Neural Computation
  16. Solvable neural network model for input-output associations: Optimal recall at the onset of chaos
    Tomoki Kurikawa, Kunihiko Kaneko · 2023 · Physical Review Research
  17. Transitioning from global to local computational strategies during brain-machine interface learning
    Nathaniel R. Bridges, Matthew P. Stickle, Karen Anne Moxon · 2024 · Frontiers in Neuroscience
  18. Changes in the Intragastric Environment during Sleep Affect the Statistical Characteristics of Neuron Activity in the Cerebral Cortex
    Ivan N. Pigarev, Nikolay G. Bibikov, Irina I. Busygina · 2015 · Neuroscience and Behavioral Physiology
  19. Flexibility and Cost-Dependence in Quantized Control
    Anish A. Sarma, John C. Doyle · 2019 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
  20. Spatial resolution of local field potential signals in macaque V4
    Armin Najarpour Foroushani, Sujaya Neupane, Pablo De Heredia Pastor, Christopher C. Pack, Mohamad Sawan · 2020 · Journal of Neural Engineering
  21. Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data
    Alessandro Salatiello, Martin A. Giese · 2020 · Lecture notes in computer science
  22. Precision multidimensional neural population code recovered from single intracellular recordings
    James K. Johnson, Songyuan Geng, Maximilian W. Hoffman, Hillel Adesnik, Ralf Weßel · 2020 · Scientific Reports
  23. Cellular Adaptation Accounts for the Sparse and Reliable Sensory Stimulus Representation
    Farzad Farkhooi, Anja Froese, Eilif Benjamin Muller, Randolf Menzel, Martin Paul Nawrot · 2012 · arXiv (Cornell University)
  24. Brain State Control by Closed-Loop Environmental Feedback
    Christopher L. Buckley, Satohiro Tajima, Yanagawa, Toru, Kana Takakura, Yasuo Nagasaka, Naotaka Fujii, Taro Toyoizumi · 2016 · arXiv (Cornell University)
  25. Evidence for time division multiplexing: Single neurons may encode simultaneous stimuli by switching between activity patterns
    Valeria C. Caruso, Jeff T. Mohl, Christopher Glynn, Jungah Lee, Shawn M. Willett, Azeem Zaman, Akinori F. Ebihara, Rolando Estrada, Winrich A. Freiwald, Surya T. Tokdar et al. · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
  26. A Statistical Model of Shared Variability in the Songbird Auditory System
    Lars Buesing, Ana Calabrese, John Patrick Cunningham, Sarah M. N. Woolley, Liam Paninski · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
  27. The Neural Particle Filter
    Anna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, Jean-Pascal Pfister · 2015 · arXiv (Cornell University)
  28. The relationship between neural variability and neural oscillations
    Edan Daniel, Thomas Meindertsma, Ayelet Arazi, Tobias H. Donner, Ilan Dinstein · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  29. State-dependent regulation of cortical processing speed via gain modulation
    David G Wyrick, Luca Mazzucato · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  30. A neural surveyor to map touch on the body
    Luke Edward Miller, Cécile Fabio, Malika Azaroual-Sentucq, Dollyane Muret, Robert J. van Beers, Alessandro Farnè, W. Pieter Medendorp · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  31. Neural Network Poisson Models for Behavioural and Neural Spike Train Data
    M. Amin Khajehnejad, Forough Habibollahi, Richard Nock, Ehsan Arabzadeh, Peter Dayan, Amir Dezfouli · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  32. Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds
    Yuhang Cai, Tianyi Wu, Louis Tao, Zhuo-Cheng Xiao · 2021 · arXiv (Cornell University)
  33. Diurnal changes in the efficiency of information transmission at a sensory synapse
    José Moya‐Díaz, Ben James, Federico Esposti, Jamie Johnston, Leon Lagnado · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  34. Interacting cortical gradients of neural timescales and functional connectivity and their relationship to perceptual behavior
    Matthew J. Boring, Robert Mark Richardson, Avniel Singh Ghuman · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  35. Correction: Cortical Plasticity Induced by Spike-Triggered Microstimulation in Primate Somatosensory Cortex
    Weiguo Song, Cliff C. Kerr, William W. Lytton, Joseph Thachil Francis · 2013 · PLoS ONE
  36. Revealing unexpected complex encoding but simple decoding mechanisms in motor cortex via separating behaviorally relevant neural signals
    Yangang Li, Xinyun Zhu, Yu Qi, Yueming Wang · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
  37. Healthy aging and cognitive impairment alter EEG functional connectivity in distinct frequency bands
    Wupadrasta Santosh Kumar, Supratim Ray · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  38. Behaviorally irrelevant feature matching increases neural and behavioral working memory readout
    Aytaç Karabay, Michael Josef Wolff, Veera Ruuskanen, Elkan G. Akyürek · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  39. Switches in single-neuron excitability class can induce rich dynamical states in balanced networks
    Moritz Drangmeister, Rainer Engelken, Jan‐Hendrik Schleimer, Susanne Schreiber · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
  40. Reproducibility of in vivo electrophysiological measurements in mice
    Kush Banga, Julius Benson, Jai Bhagat, Dan Biderman, Daniel Birman, Niccolò Bonacchi, Sebastian A. Bruijns, Kelly L. Buchanan, Robert A. A. Campbell, Matteo Carandini et al. · 2025 · eLife
  41. Neural correlates of perceptual decision-making in the primary somatosensory cortex
    Armstrong, Alex G., Vlasov, Yurii · 2026 · Proceedings of the National Academy of Sciences
  42. KETAMINE: Neural- and network-level changes
    Vishal Bharmauria, Hamidreza Ramezanpour, Afef Ouelhazi, Yahia Yassine Belkacemi, Oliver E. Flouty, Stéphane Molotchnikoff · 2024 · Neuroscience
  43. Multiscale effective connectivity analysis of brain activity using neural ordinary differential equations
    Yin-Jui Chang, Yuan‐I Chen, Hannah M. Stealey, Yi Zhao, Hung‐Yun Lu, Enrique Contreras-Hernandez, Megan N. Baker, Edward M. Castillo, Hsin‐Chih Yeh, Samantha R. Santacruz · 2024 · PLoS ONE
  44. Efficient Coding with Chaotic Neural Networks: A Journey From Neuroscience to Physics and Back
    Jonathan Kadmon · 2025 · Human Arenas
  45. Interactions across hemispheres in prefrontal cortex reflect global cognitive processing
    Megan McDonnell, Akash Umakantha, Ryan Chace Williamson, Matthew A. Smith, Byron M. Yu · 2026 · Nature Communications
  46. Multisensory integration in chaotic networks
    Adam P.D. Ponzi, Keisuke Suzuki · 2025 · Neural Networks
  47. Rethink the motor cortical control via the experiment-analysis-model flywheel: an overview
    Hongru Jiang, Xiangdong Bu, Qianqian Shi, Zhiyan Zheng, Di Zhu, Huajin Tang, Yao Chen · 2025 · Med-X
  48. Evaluating the abnormal neural variability in schizophrenia: A TMS-EEG study
    Zikang Niu, Lina Jia, Lu Tian, Yi Liu, Siyuan Lian, Yang Liu, Yang Li, Xiaoli Li A · 2025 · Schizophrenia Research
  49. Distinct Neural Mechanisms of Visual and Sound Adaptation in the Cat Visual Cortex
    Yahia Yassine Belkacemi, Ehsan Mokhtarinejad, Nayan Chanauria, Oliver E. Flouty, Stéphane Molotchnikoff, Vishal Bharmauria · 2025 · European Journal of Neuroscience
  50. Understanding adolescent anxiety through a neurodevelopmental lens: A comparative review of rodents and humans
    Caitlyn R. Cody, Rebecca R Hennessy, Heather C. Brenhouse, Juliet Y. Davidow · 2025 · Developmental Cognitive Neuroscience
  51. 3D directional tuning in the orofacial sensorimotor cortex during natural feeding and drinking
    Victoria B Hosack, Fritzie I. Arce‐McShane · 2025 · eLife
  52. Increased Perceptual Reliability Reduces Membrane Potential Variability in Cortical Neurons
    Ben von Hünerbein, Jakob Jordan, Matthijs N. Oude Lohuis, Pietro Marchesi, Umberto Olcese, Cyriel M. A. Pennartz, Walter Senn, Mihai Alexandru Petrovici · 2025 · Journal of Neuroscience
  53. Perceptual resolution of ambiguity: A divisive normalization account for both interocular color grouping and difference enhancement
    Jaelyn R. Peiso, Stephanie E. Palmer, Steven K. Shevell · 2026 · Journal of Vision
  54. Age-related changes in behavioural and neural variability in a decision-making task
    Fenying Zang, Anup Khanal, Sonja Förster, Larry F. Abbott, Luigi Acerbi, Valeria Aguillon-Rodriguez, Mandana Ahmadi, Jaweria Amjad, Dora E. Angelaki, Jaime Arlandis et al. · 2026 · Nature Communications
  55. Enhanced attention precedes self-initiated locomotion in an electric fish
    J. Jun, A. Longtin, L. Maler · 2014 · BMC Neuroscience
  56. Calcium Waves and Sparks
    Paul C. Bressloff · 2013 · Lecture notes on mathematical modelling in the life sciences
  57. Changes in variance of neuronal signals may be perceptually relevant for stereo vision
    Nela Cicmil, Andrew J. Parker, Kristine Krug · 2016 · International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS)
  58. Spiking burstiness and working memory in the human medial temporal lobe
    Francesco Cocina, Andreas Vitalis, Amedeo Caflisch · 2022 · Cerebral Cortex Communications
  59. Brain-Machine Interfaces: From Restoring Sensorimotor Control to Augmenting Cognition
    Karen Anne Moxon, Zhaodan Kong, Jochen Ditterich · 2023 · Handbook of Neuroengineering
  60. Attenuation of noise correlations in the transformation from the frontal eye field to movement
    Noga Larry, Mati Joshua · 2023 · Journal of Neurophysiology
  61. Temporo-spatial theory of consciousness I—form and level/state
    Georg Northoff · 2024 · Elsevier eBooks
  62. The fluctuating brain—essentials of neural variability
    Georg Northoff · 2024 · Elsevier eBooks
  63. Automated customization of large-scale spiking network models to neuronal population activity
    Shenghao Wu, Chengcheng Huang, Adam C. Snyder, Matthew A. Smith, Brent Doiron, Byron M. Yu · 2024 · Nature Computational Science
  64. A Bayesian Time-Varying Psychophysiological Interaction Model
    Brian Schetzsle, Jaylen M. Lee, Aaron M. Bornstein, Babak Shahbaba, Michele Guindani · 2025 · Data Science in Science
  65. Intrinsic dynamic shapes responses to external stimulation in the human brain
    Maximilian Nentwich, Marcin Leszczyński, Charles E. Schroeder, Stephan Bickel, Lucas C. Parra · 2025 · eLife
  66. Bayesian nonparametric (non-)renewal processes for analyzing neural spike train variability
    David Liu, Máté Lengyel · 2023 · neural information processing systems
  67. Embodied neuromechanical chaos through homeostatic regulation
    Yoonsik Shim, Phil Husbands · 2019 · Chaos An Interdisciplinary Journal of Nonlinear Science
  68. Conductance-based dendrites perform reliability-weighted opinion pooling
    Jakob Jordan, Mihai Alexandru Petrovici, Walter Senn, João Sacramento · 2020 · Neuro Inspired Computational Elements Conference (NICE)
  69. Parallel Neural Multiprocessing with Gamma Frequency Latencies
    Ruohan Zhang, Dana H. Ballard · 2020 · Neural Computation
  70. Model Reduction Captures Stochastic Gamma Oscillations on Low-Dimensional Manifolds
    Yuhang Cai, Tianyi Wu, Louis Tao, Zhuo-Cheng Xiao · 2021 · Frontiers in Computational Neuroscience
  71. Associations between GAD symptom severity and error monitoring depend on neural quenching variability
    Hyein Cho, Sarah Myruski, Samantha Denefrio, Douglas S. Mennin, Tracy A. Dennis‐Tiwary · 2022 · Motivation and Emotion
  72. The Hamiltonian Brain
    Laurence Aitchison, Máté Lengyel · 2014 · arXiv (Cornell University)
  73. Emergent Properties of Spike-Frequency Adaptation in Neuronal Systems: Non-renewal statistics, Variability Reduction and Sparsening
    Farzad Farkhooi · 2011
  74. A neural implementation for nonlinear filtering
    Anna Kutschireiter, Simone Carlo Surace, Henning Sprekeler, Jean-Pascal Pfister · 2015 · Zurich Open Repository and Archive (University of Zurich)
  75. Towards population coding principles in the primate premotor and parietal grasping network
    Jonathan A. Michaels · 2017
  76. Neural classifiers with limited connectivity and recurrent readouts
    Lyudmila Kushnir, Stefano Fusi · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
  77. Encoding, coordination, and decision making in the primate fronto-parietal grasping network
    Benjamin Dann · 2017
  78. Stimulus content shapes cortical response statistics
    Mihály Bányai, Andreea Lazăr, Liane Klein, Johanna Klon-Lipok, Wolf Singer, Gergő Orbán · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
  79. Chaotic Neural Circuit Dynamics
    Rainer Engelken · 2018
  80. Representations of evidence for a perceptual decision in the human brain
    Sebastian Bitzer, Hame Park, Burkhard Maeß, Katharina von Kriegstein, Stefan J. Kiebel · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
  81. Decrease in within-trial variability contributes to a decrease in across-trial variability of neural firing in the primate cortex during neural computations
    Naveen Sendhilnathan, Debaleena Basu, Aditya Murthy · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  82. Temporal signatures of criticality in human cortical excitability as probed by early somatosensory responses
    T. Stephani, G. Waterstraat, S. Haufe, G. Curio, A. Villringer, V. V. Nikulin · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
  83. Replica-mean-field limits for intensity-based neural networks
    François Baccelli, Thibaud O. Taillefumier · 2019 · arXiv (Cornell University)
  84. Effects of neuronal variability on phase synchronization of neural networks
    Kalel L. Rossi, Roberto C. Budzinski, João Antonio Paludo Silveira, B. R. R. Boaretto, Thiago de Lima Prado, Lopes, Sergio Roberto, Ulrike Feudel · 2020 · arXiv (Cornell University)
  85. Unsupervised learning and clustered connectivity enhance reinforcement learning in spiking neural networks
    Philipp Weidel, Renato Duarte, Abigail Morrison · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  86. Temporal stimulus segmentation by reinforcement learning in populations of spiking neurons
    Luisa Le Donne, Lik Chun Chan, Robert Urbanczik, Walter Senn, Giancarlo La Camera · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  87. Neural correlations are attenuated in the transformation from the frontal cortex to movement
    Noga Larry, Mati Joshua · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  88. Pre-trial predictors of conflict response efficacy in human dorsolateral prefrontal cortex
    Alexander B. Herman, Elliot H. Smith, Catherine A. Schevon, Mark J. Yates, Guy M. McKhann, Matthew Botvinick, Benjamin Y. Hayden, Sameer Anil Sheth · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  89. Visual modulation of spectrotemporal receptive fields in mouse auditory cortex
    James Bigelow, Ryan J. Morrill, Timothy Olsen, Stephanie N. Bazarini, Andrea R. Hasenstaub · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
  90. Patient-reported QOL assessment: sufficient for clinical decision-making?
    Sara J. Knight · 2008 · PubMed
  91. Criticality and sampling in neural networks
    João Pinheiro Neto · 2021
  92. Hierarchical Fluctuation Shapes a Dynamic Flow Linked to States of Consciousness
    Ang Li, Haiyang Liu, Xu Lei, Yini He, Qian Wu, Yan Yan, Xin Zhou, Xiaohan Tian, Yingjie Peng, Hao Yan et al. · 2022 · Research Square
  93. The Quantum Character of Perception: The Probabilistic and Reversible Thermodynamic Cycle can Produce Spin-like Attitudes, Thinking, and Behavior
    Éva Déli · 2022
  94. The Quantum Character of Perception: The Probabilistic and Reversible Thermodynamic Cycle can Produce Spin-like Attitudes, Thinking, and Behavior
    Éva Déli · 2022
  95. The Quantum Character of Perception: The Probabilistic and Reversible Thermodynamic Cycle can Produce Spin-like Attitudes, Thinking, and Behavior
    Éva Déli · 2022
  96. Revealing unexpected complex encoding but simple decoding mechanisms in motor cortex via separating behaviorally relevant neural signals
    Yangang Li, Xinyun Zhu, Yu Qi, Yueming Wang · 2023 · eLife
  97. Benign Taste Experience Enhances Cortical Response Reliability during Aversion Conditioning Towards a Novel Taste
    Veronica L. Flores, Emma Barash, Donald B. Katz, Jian-You Lin · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
  98. An unbiased method to partition diverse neuronal responses into functional ensembles reveals interpretable population dynamics during innate social behavior
    Alexander Lin, Cyril Selase Kwaku Akafia, Olga Dal Monte, Siqi Fan, Nicholas Fagan, Philip T. Putnam, Kay M. Tye, Steve W. C. Chang, Demba E. Ba, Stephen A. Allsop · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  99. Environmental context sculpts spatial and temporal visual processing in thalamus
    Kayla Peelman, Bilal Haider · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  100. Separating biological variance from noise by applying EM algorithm to modified General Linear Model
    Tien‐Wen Lee · 2024 · bioRxiv (Cold Spring Harbor Laboratory)