Normalization as a canonical neural computation

Cited by (1,001)

Items 401–500 of 1,001

1. Spatially tuned normalization explains attention modulation variance within neurons
   Amy M. Ni, John H. R. Maunsell · 2017 · Journal of Neurophysiology
2. Mechanisms of competitive selection: A canonical neural circuit framework
   Shreesh P. Mysore, Ninad B. Kothari · 2020 · eLife
3. Neuronal circuits and computations: Pattern decorrelation in the olfactory bulb
   Rainer W. Friedrich, Martin T. Wiechert · 2014 · FEBS Letters
4. Learning and stabilization of winner-take-all dynamics through interacting excitatory and inhibitory plasticity
   Jonathan Binas, Ueli Rutishauser, Giacomo Indiveri, Michael Pfeiffer · 2014 · Frontiers in Computational Neuroscience
5. A monocular contribution to stimulus rivalry
   Jan W. Brascamp, Hansem Sohn, Sang‐Hun Lee, Randolph Blake · 2013 · Proceedings of the National Academy of Sciences
6. Incorporating Midbrain Adaptation to Mean Sound Level Improves Models of Auditory Cortical Processing
   Ben D. B. Willmore, Oliver Schoppe, Andrew J. King, Jan W. H. Schnupp, Nicol Spencer Harper · 2016 · Journal of Neuroscience
7. Human Visual Cortex Responses to Rapid Cone and Melanopsin-Directed Flicker
   Manuel Spitschan, Ritobrato Datta, Andrew M. Stern, David H. Brainard, Geoffrey K. Aguirre · 2016 · Journal of Neuroscience
8. Likelihood-based parameter estimation and comparison of dynamical cognitive models.
   Heiko H. Schütt, Lars Oliver Martin Rothkegel, Hans A. Trukenbrod, Sebastian Reich, Felix A. Wichmann, Ralf Engbert · 2017 · Psychological Review
9. Specificity and timescales of cortical adaptation as inferences about natural movie statistics
   Michoel Snow, Ruben Coen-Cagli, Odelia Schwartz · 2016 · Journal of Vision
10. Functional implications of orientation maps in primary visual cortex
    Erin M. Koch, Jianzhong Jin, Jose M. Alonso, Qasim Zaidi · 2016 · Nature Communications
11. Presaccadic attention improves or impairs performance by enhancing sensitivity to higher spatial frequencies
    Hsin-Hung Li, Jasmine Pan, Marisa Carrasco · 2019 · Scientific Reports
12. Perception in autism does not adhere to Weber’s law
    Bat‐Sheva Hadad, Sivan Schwartz · 2019 · eLife
13. Dynamic Suppression of Average Facial Structure Shapes Neural Tuning in Three Macaque Face Patches
    Kenji W. Koyano, Adam P. Jones, David B. T. McMahon, Elena N. Waidmann, Brian Edward Russ, David A. Leopold · 2020 · Current Biology
14. Divisive normalization unifies disparate response signatures throughout the human visual hierarchy
    Marco Aqil, Tomas H. J. Knapen, Serge Olaf Dumoulin · 2021 · Proceedings of the National Academy of Sciences
15. Working memory capacity of crows and monkeys arises from similar neuronal computations
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16. Response Normalization in the Superficial Layers of the Superior Colliculus as a Possible Mechanism for Saccadic Averaging
    Corinne R. Vokoun, Xin Huang, Meyer B. Jackson, Michele A. Basso · 2014 · Journal of Neuroscience
17. Serotonergic modulation across sensory modalities
    Tyler R. Sizemore, Laura M. Hurley, Andrew M. Dacks · 2020 · Journal of Neurophysiology
18. Normalization regulates competition for visual awareness
    S. Ling, R. Blake · 2012 · Neuron
19. Computational principles underlying the recognition of acoustic signals in insects
    Jan Clemens, Ralf Matthias Hennig · 2013 · Journal of Computational Neuroscience
20. Corticocortical feedback increases the spatial extent of normalization
    Jonathan J. Nassi, Camille Gómez-Laberge, Gabriel Kreiman, Richard T. Born · 2014 · Frontiers in Systems Neuroscience
21. Evidence for an Optimal Algorithm Underlying Signal Combination in Human Visual Cortex
    Daniel H. Baker, Alex R. Wade · 2016 · Cerebral Cortex
22. Characterizing the effects of feature salience and top-down attention in the early visual system
    Sonia Poltoratski, Sam Ling, Devin R. McCormack, Frank Tong · 2017 · Journal of Neurophysiology
23. Derivatives and inverse of cascaded linear+nonlinear neural models
    Marina Martínez-Garcia, Praveen Cyriac, Thomas Batard, Marcelo Bertalmı́o, Jesús Malo · 2018 · PLoS ONE
24. Network Design and the Brain
    Saket Navlakha, Ziv Bar‐Joseph, Alison L. Barth · 2017 · Trends in Cognitive Sciences
25. Toward the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes
    Zhaofei Yu, Jian K. Liu, Shanshan Jia, Yichen Zhang, Yajing Zheng, Yonghong Tian, Tiejun Huang · 2020 · Engineering
26. Inference of nonlinear receptive field subunits with spike-triggered clustering
    Nishal P. Shah, Nora Brackbill, Colleen E. Rhoades, Alexandra Kling, Georges A. Goetz, Alan M Litke, Alexander Sher, Eero P. Simoncelli, E. J. Chichilnisky · 2020 · eLife
27. Subpopulations of neurons in lOFC encode previous and current rewards at time of choice
    David L. Hocker, Carlos D. Brody, Cristina Savin, Christine M. Constantinople · 2021 · eLife
28. Representation of numerosity in posterior parietal cortex
    Jamie D. Roitman, Elizabeth M. Brannon, Michael L. Platt · 2012 · Frontiers in Integrative Neuroscience
29. Hearing in Complex Environments: Auditory Gain Control, Attention, and Hearing Loss
    Benjamin D. Auerbach, Howard J. Gritton · 2022 · Frontiers in Neuroscience
30. Towards Understanding Sparse Filtering: A Theoretical Perspective
    Fabio Massimo Zennaro, Ke Chen · 2016 · Neural Networks
31. Interrogating the mouse thalamus to correct human neurodevelopmental disorders
    Lukas Ian Schmitt, Michael M. Halassa · 2016 · Molecular Psychiatry
32. Neuronal Effects of Spatial and Feature Attention Differ Due to Normalization
    Amy M. Ni, John H. R. Maunsell · 2019 · Journal of Neuroscience
33. The statistics of how natural images drive the responses of neurons
    Arvind V. Iyer, Johannes Burge · 2019 · Journal of Vision
34. Predictive Coding, Variational Autoencoders, and Biological Connections
    Joseph Marino · 2021 · Neural Computation
35. Predicting Cortical Dark/Bright Asymmetries from Natural Image Statistics and Early Visual Transforms
    Emily A. Cooper, Anthony M. Norcia · 2015 · PLoS Computational Biology
36. Dynamic coding of border-ownership in visual cortex
    Oliver W. Layton, Ennio Mingolla B, Arash Yazdanbakhsh · 2012 · Journal of Vision
37. Alpha oscillations control cortical gain by modulating excitatory-inhibitory background activity
    Erik J Peterson, Bradley Voytek · 2017 · bioRxiv (Cold Spring Harbor Laboratory)
38. Visual temporal attention from perception to computation
    Rachel N. Denison · 2024 · Nature Reviews Psychology
39. Spatiochromatic Context Modeling for Color Saliency Analysis
    Jun Zhang, Meng Wang, Shengping Zhang, Xuelong Li, Xindong Wu · 2015 · IEEE Transactions on Neural Networks and Learning Systems
40. Fast intensity adaptation enhances the encoding of sound in Drosophila
    Jan Clemens, Nofar Ozeri-Engelhard, Mala Murthy · 2018 · Nature Communications
41. Computational challenges and opportunities for a bi-directional artificial retina
    Shah, Nishal P, Chichilnisky, E. J. · 2020 · Journal of Neural Engineering
42. Why do linear SVMs trained on HOG features perform so well?
    Hilton Bristow, Simon Lucey · 2014 · arXiv (Cornell University)
43. Hierarchical Models of the Visual System
    Thomas Serre · 2014 · Encyclopedia of Computational Neuroscience
44. Contour interpolation: A case study in Modularity of Mind
    Brian P. Keane · 2018 · Cognition
45. A neural population model for visual pattern detection.
    Robbe L. T. Goris, Tom Putzeys, Johan P. Wagemans, Felix A. Wichmann · 2013 · Psychological Review
46. Relating constructs of attention and working memory to social withdrawal in Alzheimer’s disease and schizophrenia: issues regarding paradigm selection
    Gary Gilmour, Stefano Porcelli, Valérie Bertaina‐Anglade, Estíbaliz Arce, Juergen Dukart, Anja Hayen, António Lobo, Raúl López‐Antón, Emilio Merlo Pich, Darrel J. Pemberton et al. · 2018 · Neuroscience & Biobehavioral Reviews
47. Visual Working Memory Is Independent of the Cortical Spacing Between Memoranda
    William John Harrison, Paul M. Bays · 2018 · Journal of Neuroscience
48. LGN-CNN: A biologically inspired CNN architecture
    Federico Bertoni, Giovanna Citti, Alessandro Sarti · 2021 · Neural Networks
49. Consistent patterns of distractor effects during decision making
    Bolton K. H. Chau, Chun-Kit Law, Alizée Lopez‐Persem, Miriam C. Klein-Flügge, Matthew F. S. Rushworth · 2020 · eLife
50. Artifact- and content-specific quality assessment for MRI with image rulers
    Ke Lei, Ali Syed, Xucheng Zhu, John M. Pauly, Shreyas S. Vasanawala · 2022 · Medical Image Analysis
51. A Tweaking Principle for Executive Control: Neuronal Circuit Mechanism for Rule-Based Task Switching and Conflict Resolution
    Salva Ardid, Xiao‐Jing Wang · 2013 · Journal of Neuroscience
52. An image-computable psychophysical spatial vision model
    Heiko H. Schütt, Felix A. Wichmann · 2017 · Journal of Vision
53. Reduced crowding and poor contour detection in schizophrenia are consistent with weak surround inhibition
    Robol, Valentina, Tibber, Marc S., Anderson, Elaine J., Bobin, Tracy, Carlin, Patricia, Shergill, Sukhwinder S., Dakin, Steven C. · 2013 · PLoS ONE
54. Neural plasticity and concepts ontogeny
    Alessio Plebe, Marco Mazzone · 2016 · Synthese
55. The functional form of value normalization in human reinforcement learning
    Sophie Bavard, Stefano Palminteri · 2023 · eLife
56. Prediction across sensory modalities: A neurocomputational model of the McGurk effect
    Itsaso Olasagasti, Sophie Bouton, Anne‐Lise Giraud · 2015 · Cortex
57. A Hebbian/Anti-Hebbian network derived from online non-negative matrix factorization can cluster and discover sparse features
    Cengiz Pehlevan, Dmitri B. Chklovskii · 2014 · Asilomar Conference on Signals, Systems and Computers (ACSSC)
58. Time as context: The influence of hierarchical patterning on sensory inference
    Juanita Todd, Anne Petherbridge, Bronte Speirs, Alexander L. Provost, Bryan K. Paton · 2017 · Schizophrenia Research
59. Object segmentation controls image reconstruction from natural scenes
    Peter Neri · 2017 · PLoS Biology
60. Emergence of spontaneous assembly activity in developing neural networks without afferent input
    Marcus A. Triplett, Lilach Avitan, Geoffrey J. Goodhill · 2018 · PLoS Computational Biology
61. Partial Adaptation to the Value Range in the Macaque Orbitofrontal Cortex
    Katherine E. Conen, Camillo Padoa‐Schioppa · 2019 · Journal of Neuroscience
62. Image-Computable Ideal Observers for Tasks with Natural Stimuli
    Johannes Burge · 2020 · Annual Review of Vision Science
63. Signal Integration in Human Visual Speed Perception
    Matjaž Jogan, Alan A. Stocker · 2015 · Journal of Neuroscience
64. Towards a Neural Implementation of Causal Inference in Cue Combination
    Wei Ji Ma, Masih Rahmati · 2013 · Multisensory Research
65. Differing effects of attention in single-units and populations are well predicted by heterogeneous tuning and the normalization model of attention
    Yuko Hara, Franco Pestilli, Justin L. Gardner · 2014 · Frontiers in Computational Neuroscience
66. Retinotopic Patterns of Correlated Fluctuations in Visual Cortex Reflect the Dynamics of Spontaneous Perceptual Suppression
    Tobias H. Donner, Dov Sagi, Yoram S. Bonneh, David J. Heeger · 2013 · Journal of Neuroscience
67. Hierarchical representation of shapes in visual cortex—from localized features to figural shape segregation
    Stephan Tschechne, Heiko Neumann B · 2014 · Frontiers in Computational Neuroscience
68. Unreliable Evidence: 2 Sources of Uncertainty During Perceptual Choice
    E Michael, Vincent de Gardelle, Alejo J. Nevado‐Holgado, Christopher Summerfield · 2013 · Cerebral Cortex
69. Efficient Neural Codes That Minimize Lp Reconstruction Error
    Zhuo Wang, Alan A. Stocker, Daniel D. Lee · 2016 · Neural Computation
70. Eigen-Distortions of Hierarchical Representations
    Alexander Berardino, Johannes Ballé, Valero Laparra, Eero P. Simoncelli · 2017 · arXiv (Cornell University)
71. The indeterminacy of computation
    Nir Fresco, B. Jack Copeland, Marty J. Wolf · 2021 · Synthese
72. The Neurobiology of Context-Dependent Valuation and Choice
    Kenway Louie, Benedetto De Martino · 2013 · Elsevier eBooks
73. Normalization in human somatosensory cortex
    Gijs Joost Brouwer, Vanessa Arnedo, Shani Offen, David J. Heeger, Arthur C. Grant · 2015 · Journal of Neurophysiology
74. Surround suppression supports second-order feature encoding by macaque V1 and V2 neurons
    Luke E. Hallum, J. Anthony Movshon · 2014 · Vision Research
75. The cost of misremembering: Inferring the loss function in visual working memory
    Chris R. Sims · 2015 · Journal of Vision
76. Bayesian Models of Brain and Behaviour
    W.D. Penny · 2012 · ISRN Biomathematics
77. Efficient and direct estimation of a neural subunit model for sensory coding.
    Brett Vintch, Andrew David Zaharia, J. Anthony Movshon, Eero P. Simoncelli · 2012 · PubMed
78. Distributed and Dynamic Neural Encoding of Multiple Motion Directions of Transparently Moving Stimuli in Cortical Area MT
    Jianbo Xiao, Xin Huang · 2015 · Journal of Neuroscience
79. Pre-synaptic Muscarinic Excitation Enhances the Discrimination of Looming Stimuli in a Collision-Detection Neuron
    Ying Zhu, R. B. Dewell, Hongxia Wang, F. Gabbiani · 2018 · Cell Reports
80. Choice-theoretic foundations of the divisive normalization model
    Kai Steverson, Adam M. Brandenburger, Paul William Glimcher · 2019 · Journal of Economic Behavior & Organization
81. Adaptive Processes in Thalamus and Cortex Revealed by Silencing of Primary Visual Cortex during Contrast Adaptation.
    Jillian L. King, Matthew P. Lowe, Kurt Stover, Aimée A. Wong, N. Crowder · 2016 · Current Biology
82. The impact of early visual cortex transcranial magnetic stimulation on visual working memory precision and guess rate
    Rosanne L. Rademaker, Vincent G. van de Ven, Frank Tong, Alexander Thomas Sack · 2017 · PLoS ONE
83. Vestibular signals in primate cortex for self-motion perception
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84. A Computational Framework for Realistic Retina Modeling
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85. A unifying Bayesian account of contextual effects in value-based choice
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86. Contrast gain control in mouse auditory cortex
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87. Active efficient coding explains the development of binocular vision and its failure in amblyopia
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88. Different Mechanisms for Supporting Mental Imagery and Perceptual Representations: Modulation Versus Excitation
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89. Task-Specific Normalization for Continual Learning of Blind Image Quality Models
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90. Steady-State Contrast Response Functions Provide a Sensitive and Objective Index of Amblyopic Deficits
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91. Visual aftereffects and sensory nonlinearities from a single statistical framework
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92. Texture analysis and perception
    Michael S. Landy · 2013
93. History-Dependent Odor Processing in the Mouse Olfactory Bulb
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94. A signature of neural coding at human perceptual limits
    Paul M. Bays · 2016 · Journal of Vision
95. Evidence for, and challenges to, sensory recruitment models of visual working memory
    Kirsten C. S. Adam, Rosanne L. Rademaker, John T. Serences · 2022 · Routledge eBooks
96. Mapping the Integration of Sensory Information across Fingers in Human Sensorimotor Cortex
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97. Competitive Dynamics in MSTd: A Mechanism for Robust Heading Perception Based on Optic Flow
    Oliver W. Layton, Brett R. Fajen · 2016 · PLoS Computational Biology
98. Normative theory of visual receptive fields
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99. Are Neurodynamic Organizations A Fundamental Property of Teamwork?
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100. Organization of Sensory Feature Selectivity in the Whisker System
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