Attention stabilizes the shared gain of V4 populations

Rabinowitz, Neil C, Goris, Robbe L, Cohen, Marlene, Simoncelli, Eero P·2015·eLife

DOI 10.7554/elife.08998

Cited by (192)

Items 101–192 of 192

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Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models
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Running modulates primate and rodent visual cortex differently
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Internal gain modulations, but not changes in stimulus contrast, preserve the neural code
Sangkyun Lee, Jiyoung Park, Stelios M. Smirnakis · 2019 · Journal of Neuroscience
Feedback Determines the Structure of Correlated Variability in Primary Visual Cortex
Adrian Bondy, Ralf M. Haefner, Bruce G. Cumming · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
Learning and attention reveal a general relationship between neuronal variability and perception
Amy M. Ni, Douglas A. Ruff, Joshua J. Alberts, Jen Symmonds, Marlene R. Cohen · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
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Hayoung Song, JeongJun Park, Monica D. Rosenberg · 2024 · Trends in Cognitive Sciences
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Incheol Kang, Bharath Chandra Talluri, Jacob L. Yates, Cristopher M. Niell, Hendrikje Nienborg · 2024 · Trends in Neurosciences
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Modeling the diverse effects of divisive normalization on noise correlations
Oren Weiss, Hayley A. Bounds, Hillel Adesnik, Ruben Coen-Cagli · 2023 · PLoS Computational Biology
What can neuronal populations tell us about cognition?
Iñigo Arandia-Romero, Ramon Nogueira, Gabriela Mochol, Rubén Moreno‐Bote · 2017 · Current Opinion in Neurobiology
Unsupervised approach to decomposing neural tuning variability
Rong Zhu, Xue-Xin Wei · 2023 · Nature Communications
A latent variable approach to decoding neural population activity
Matthew R Whiteway, Bruno B. Averbeck, Daniel A. Butts · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
Task-induced neural covariability as a signature of approximate Bayesian learning and inference
Richard D. Lange, Ralf M. Haefner · 2016 · bioRxiv (Cold Spring Harbor Laboratory)
Attentional brain rhythms during prolonged cognitive activity
Corentin Gaillard, C. De Sousa, Julià L. Amengual, Célia Loriette, Camilla Ziane, Suliann Ben Hamed, Fabio Di Bello, Suliann Ben Hamed · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
A universal probabilistic spike count model reveals ongoing modulation of neural variability
David Liu, Máté Lengyel · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
Coupling of synaptic inputs to local cortical activity differs among neurons and adapts after stimulus onset
Nathaniel C. Wright, Mahmood S. Hoseini, Tansel Baran Yaşar, Ralf Weßel · 2017 · Journal of Neurophysiology
Altered dorsal CA1 neuronal population coding in the APP/PS1 mouse model of Alzheimer’s disease
Udaysankar Chockanathan, Emily J. Warner, Loel C. Turpin, M. Kerry O’Banion, Krishnan Padmanabhan · 2020 · Scientific Reports
Flexible and accurate decoding of neural populations through stochastic comodulation
Caroline Haimerl, Cristina Savin, Eero P. Simoncelli · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
Modulation of the dynamical state in cortical network models
Chengcheng Huang · 2021 · Current Opinion in Neurobiology
Combining tensor decomposition and time warping models for multi-neuronal spike train analysis
Alex H. Williams · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
Population activity statistics dissect subthreshold and spiking variability in V1
Mihály Bányai, Zsombor Koman, Gergő Orbán · 2017 · Journal of Neurophysiology
Disentangling signal and noise in neural responses through generative modeling
Kendrick Kay, Jacob S. Prince, Thomas Gebhart, Greta Tuckute, Jingyang Zhou, Thomas Naselaris, Heiko H. Schütt · 2025 · PLoS Computational Biology
Topological insights into the neural basis of flexible behavior
Tevin C. Rouse, Amy M. Ni, Chengcheng Huang, Marlene R. Cohen · 2023 · Proceedings of the National Academy of Sciences
Decision-related signals in the presence of nonzero signal stimuli, internal bias, and feedback
Daniel Chicharro, Stefano Panzeri, Ralf M. Haefner · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
Selective effects of arousal on population coding of natural sounds in auditory cortex
Charles R. Heller, Zachary P. Schwartz, Daniela Saderi, Stephen V. David · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
Spatial attention selectively alters visual cortical representation during target anticipation
Ekin Tünçok, Marisa Carrasco, Jonathan A. Winawer · 2025 · Nature Communications
Recent Visual Experience Reshapes V4 Neuronal Activity and Improves Perceptual Performance
Patricia L. Stan, Matthew A. Smith · 2024 · Journal of Neuroscience
Different roles of response covariability and its attentional modulation in the sensory cortex and posterior parietal cortex
Yong Mei Jiang, Sheng He, Jiedong Zhang · 2023 · Proceedings of the National Academy of Sciences
Flexible information routing in neural populations through stochastic comodulation
Caroline Haimerl, Cristina Savin, Eero P. Simoncelli · 2019 · neural information processing systems
Running modulates primate and rodent visual cortex differently
John P Liska, Declan P Rowley, Trevor Thai K Nguyen, Jens-Oliver Muthmann, Daniel A. Butts, Jacob L. Yates, Alexander C. Huk · 2023 · eLife
The Interplay Between Cortical State and Perceptual Learning: A Focused Review
Sung Eun Kwon · 2018 · Frontiers in Systems Neuroscience
Frequency-separated principal component analysis of cortical population activity
Jean‐Philippe Thivierge · 2020 · Journal of Neurophysiology
Influence of On-Off dynamics and selective attention on the spatial pattern of correlated variability in neocortex
Yan-Liang Shi, Nicholas A. Steinmetz, Tirin Moore, Kwabena A. Boahen, Tatiana A. Engel · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
Task learning increases information redundancy of neural responses in macaque visual cortex
S. Liu, Anton Pletenev, Ralf M. Haefner, Adam C. Snyder · 2026 · Science
Attentional Modulation of Visual Spatial Integration: Psychophysical Evidence Supported by Population Coding Modeling
Alessandro Grillini, Remco J. Renken, Frans W. Cornelissen · 2019 · Journal of Cognitive Neuroscience
The Magnitude, But Not the Sign, of MT Single-Trial Spike-Time Correlations Predicts Motion Detection Performance
Alireza Hashemi, Ashkan Golzar, Jackson E. T. Smith, Erik P. Cook · 2018 · Journal of Neuroscience
Streaming Solutions for Time-Varying Optimization Problems
Tomer Hamam, Justin Romberg · 2022 · IEEE Transactions on Signal Processing
Micropools of reliable area MT neurons explain rapid motion detection
Bryan M. Krause, Geoffrey M. Ghose · 2018 · Journal of Neurophysiology
Visual information is broadcast among cortical areas in discrete channels
Yiyi Yu, Jeffery N. Stirman, Christopher R. Dorsett, Spencer L. Smith · 2024 · eLife
State-Dependent Decoding Algorithms Improve the Performance of a Bidirectional BMI in Anesthetized Rats
Vito De Feo, Fabio Boi, Houman Safaai, Arno Onken, Stefano Panzeri, Alessandro Vato · 2017 · Frontiers in Neuroscience
Differential disruptions in population coding along the dorsal-ventral axis of CA1 in the APP/PS1 mouse model of Aβ pathology
Udaysankar Chockanathan, Krishnan Padmanabhan · 2024 · PLoS Computational Biology
Information-Limiting Correlations in Neural Populations: The Devil Is in the Details
Reebal W. Rafeh, Geetika Gupta · 2020 · Journal of Neuroscience
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)
State-dependent regulation of cortical processing speed via gain modulation
David G Wyrick, Luca Mazzucato · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
Predicting perturbation effects from resting activity using functional causal flow
Amin Nejatbakhsh, Francesco Fumarola, Saleh Esteki, Taro Toyoizumi, Roozbeh Kiani, Luca Mazzucato · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
A neural geometry theory comprehensively explains apparently conflicting models of visual perceptual learning
Yu-Ang Cheng, Mehdi Sanayei, Xing Chen, Ke Jia, Sheng Li, Fang Fang, Takeo Watanabe, Alexander Thiele, Ru‐Yuan Zhang · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
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
Harnessing theoretical neuroscience to understand decision-making across aging
Michael B. Ryan, Letizia S. Ye, Anne K. Churchland · 2026 · Current Opinion in Neurobiology
Additive Continuous-time Joint Partitioning of Neural Variability
Adam S. Charles, Jonathan W. Pillow · 2018 · Conference on Cognitive Computational Neuroscience (CCN)
Decision-Related Activity in Macaque V2 for Fine Disparity Discrimination Is Not Compatible with Optimal Linear Readout
Stéphane Clery, Bruce G. Cumming, Hendrikje Nienborg · 2017 · Journal of Neuroscience
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
Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models
Matthew R Whiteway, Karolina Z. Socha, Vincent Bonin, Daniel A. Butts · 2019 · PubMed
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)
Subpopulation Codes Permit Information Modulation Across Cortical States
Matthew P. Getz, Chengcheng Huang, Brent Doiron · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
Task-specific invariant representation in auditory cortex
Charles R. Heller, Gregory R. Hamersky, Stephen V. David · 2023 · eLife
Visual information is broadcast among cortical areas in discrete channels
Yiyi Yu, Jeffery N. Stirman, Christopher R. Dorsett, Spencer L. Smith · 2024 · eLife
Running modulates primate and rodent visual cortex differently
John P Liska, Declan P Rowley, Trevor Thai K Nguyen, Jens-Oliver Muthmann, Daniel A. Butts, Jacob L. Yates, Alexander C. Huk · 2024 · eLife
Response statistics dissect the contributions of different sources of variability to population activity in V1
Mihály Bányai, Zsombor Koman, Gergő Orbán · 2016 · arXiv (Cornell University)
The Impact of Cortical State on Neural Coding and Behavior
Charles B. Beaman · 2016 · Digital Commons-TMC (Texas Medical Center)
Characterizing and interpreting the influence of internal variables on sensory activity
Richard D. Lange, Ralf M. Haefner · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
Inferring the brain's internal model from sensory responses in a
Richard D. Lange, Ralf M. Haefner · 2016
Neuronal response variability as a product of divisive normalization; neurobiological implications at a macroscale level
Kathy L. Ruddy, David M. Cole, Colin Simon, Marc Bächinger · 2020 · HRB Open Research
Attentional dynamics of efficient codes
Wiktor F. Młynarski, Gašper Tkačik · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
Dimensionality reduction for neural population decoding
Charles R. Heller, Stephen V. David · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
Correlation-invariant synaptic plasticity
Carlos Stein Naves de Brito, Wulfram Gerstner · 2021 · arXiv (Cornell University)
Topological insights into the neural basis of flexible behavior
Tevin C. Rouse, Amy M. Ni, Chengcheng Huang, Marlene R. Cohen · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
Task-specific invariant representation in auditory cortex
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Task-specific invariant representation in auditory cortex
Charles R. Heller, Gregory R. Hamersky, Stephen V. David · 2024 · eLife
Circuit-motivated generalized affine models characterize stimulus-dependent visual cortical shared variability
Jì Xià, Anna I. Jasper, Adam Kohn, Kenneth D. Miller · 2024 · iScience
Stimulus effects dwarf task effects in human visual cortex
Marieke Mur, Daniel J. Mitchell, Stephan Brueggemann, John Duncan · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
WITHDRAWN: From Criticality to Efficient Coding: Sensory-Driven Multiscale Reorganization of Cortical Dynamics
Jirui Liu, Longsheng Jiang, Xueting Li, Jiamin Wu, Jia Liu · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
Visual information is broadcast among cortical areas in discrete channels
Yiyi Yu, Jeffery N. Stirman, Christopher R. Dorsett, Spencer L. Smith · 2026 · eLife
Prefrontal markers of spatial attention
Carine De Sousa Ferreira · 2021 · theses.fr (ABES)
Low-rank network models of neural computations
Adrian Valente · 2022 · theses.fr (ABES)
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Robert C.G. Johansson, Karin Maria Bausenhart, Rolf Ulrich, Paul Kelber · 2026 · Attention Perception & Psychophysics
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Sun, Jialong, Dou, Zhi, Gao, Yi · 2026 · Journal of Safety Research
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Response Variability and Its Structure: Roles in the Neural Code
Ruben Coen-Cagli, Adam Kohn · 2026 · Oxford University Press eBooks
Age-related changes in noise correlations in a decision-making task
Fenying Zang, Anne E Urai · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
The human language processing system straightens natural speech
Jiaming Xu, Tien Dung Nguyen, Jerry Tang, Alexander G. Huth, Robbe L. T. Goris · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
Anticipatory organization of neural population dynamics speeds behavioral decisions
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The structure of correlated variability reflects task-relevant information in sensory neurons
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Task Engagement Gates Interareal Communication Geometry in the Mouse Thalamocortical–Midbrain Visual Circuit
Loris Amalberti, Maximilian Hauer, Corbett Bennett, Shawn R. Olsen, David Dahmen, Stefano Recanatesi · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
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