Stimulus-choice (mis)alignment in primate area MT
暂无分享,去创建一个
Yuan Zhao | Il Memming Park | Aaron J Levi | Jacob L Yates | Alexander C Huk | Jacob L. Yates | A. Huk | Yuan Zhao
[1] Ehud Zohary,et al. Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.
[2] Eero P. Simoncelli,et al. Dissociation of Choice Formation and Choice-Correlated Activity in Macaque Visual Cortex , 2017, The Journal of Neuroscience.
[3] Gene H. Golub,et al. Generalized cross-validation as a method for choosing a good ridge parameter , 1979, Milestones in Matrix Computation.
[4] Michele A Basso,et al. Insights into decision making using choice probability. , 2015, Journal of neurophysiology.
[5] F. V. Smith,et al. The relative attraction for the domestic chick of combinations of stimuli in different sensory modalities , 1963 .
[6] A. Pouget,et al. Information-limiting correlations , 2014, Nature Neuroscience.
[7] Yong Gu,et al. Perceptual Learning Reduces Interneuronal Correlations in Macaque Visual Cortex , 2011, Neuron.
[8] Il Memming Park,et al. Functional dissection of signal and noise in MT and LIP during decision-making , 2017, Nature Neuroscience.
[9] Albert Compte,et al. Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT , 2015, Nature Communications.
[10] Yuan Zhao,et al. Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains , 2016, Neural Computation.
[11] A. Pouget,et al. Neural correlations, population coding and computation , 2006, Nature Reviews Neuroscience.
[12] Ramon Bartolo,et al. Information-Limiting Correlations in Large Neural Populations , 2020, The Journal of Neuroscience.
[13] K. H. Britten,et al. A relationship between behavioral choice and the visual responses of neurons in macaque MT , 1996, Visual Neuroscience.
[14] G. DeAngelis,et al. Linking Neural Representation to Function in Stereoscopic Depth Perception: Roles of the Middle Temporal Area in Coarse versus Fine Disparity Discrimination , 2006, The Journal of Neuroscience.
[15] Gustavo Deco,et al. Stimulus-dependent variability and noise correlations in cortical MT neurons , 2013, Proceedings of the National Academy of Sciences.
[16] Bruce G Cumming,et al. Feedforward and Feedback Sources of Choice Probability in Neural Population Responses This Review Comes from a Themed Issue on Neurobiology of Cognitive Behavior Evidence for Feed-forward Models and Optimal Linear Readout? , 2022 .
[17] Naoshige Uchida,et al. Demixed principal component analysis of neural population data , 2014, eLife.
[18] J. Gold,et al. Representation of a perceptual decision in developing oculomotor commands , 2000, Nature.
[19] Jonathan W Pillow,et al. A simple linear readout of MT supports motion direction-discrimination performance. , 2019, Journal of neurophysiology.
[20] Jan Drugowitsch,et al. Scaling of information in large neural populations reveals signatures of information-limiting correlations , 2020, bioRxiv.
[21] Richard D. Lange,et al. Characterizing and interpreting the influence of internal variables on sensory activity , 2017, Current Opinion in Neurobiology.
[22] Jakob H Macke,et al. Can Serial Dependencies in Choices and Neural Activity Explain Choice Probabilities? , 2017, The Journal of Neuroscience.
[23] Il Memming Park,et al. Bayesian Spike-Triggered Covariance Analysis , 2011, NIPS.
[24] B. Cumming,et al. Decision-related activity in sensory neurons reflects more than a neuron’s causal effect , 2009, Nature.
[25] Matthew T. Kaufman,et al. Supplementary materials for : Cortical activity in the null space : permitting preparation without movement , 2014 .
[26] Arnulf B. A. Graf,et al. Decoding the activity of neuronal populations in macaque primary visual cortex , 2011, Nature Neuroscience.
[27] W. Newsome,et al. Context-Dependent Changes in Functional Circuitry in Visual Area MT , 2008, Neuron.
[28] Adrian G Bondy,et al. Feedback Determines the Structure of Correlated Variability in Primary Visual Cortex , 2016, Nature Neuroscience.
[29] P. Latham,et al. Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior , 2017, Neuron.
[30] G. DeAngelis,et al. How Can Single Sensory Neurons Predict Behavior? , 2015, Neuron.
[31] Mariano Sigman,et al. Frontiers in Computational Neuroscience Computational Neuroscience Neurophysiological Bases of Exponential Sensory Decay and Top-down Memory Retrieval: a Model , 2022 .
[32] David J. Freedman,et al. Choice-correlated activity fluctuations underlie learning of neuronal category representation , 2015, Nature Communications.
[33] Surya Ganguli,et al. A theory of multineuronal dimensionality, dynamics and measurement , 2017, bioRxiv.
[34] J. Movshon,et al. The statistical reliability of signals in single neurons in cat and monkey visual cortex , 1983, Vision Research.
[35] John P. Cunningham,et al. Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity , 2008, NIPS.
[36] Jonathan W. Pillow,et al. Prefrontal cortex exhibits multi-dimensional dynamic encoding during decision-making , 2019, bioRxiv.
[37] W. Newsome,et al. Neural basis of a perceptual decision in the parietal cortex (area LIP) of the rhesus monkey. , 2001, Journal of neurophysiology.
[38] Aaron J Levi,et al. Strategic and Dynamic Temporal Weighting for Perceptual Decisions in Humans and Macaques , 2018, eNeuro.
[39] J. Movshon,et al. A computational analysis of the relationship between neuronal and behavioral responses to visual motion , 1996, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[40] Jonathan W. Pillow,et al. Dissociated functional significance of decision-related activity in the primate dorsal stream , 2016, Nature.
[41] M. Bethge,et al. Inferring decoding strategies from choice probabilities in the presence of correlated variability , 2013, Nature Neuroscience.
[42] Gregory C. DeAngelis,et al. The Effects of Population Tuning and Trial-by-Trial Variability on Information Encoding and Behavior , 2019, The Journal of Neuroscience.
[43] József Fiser,et al. Perceptual Decision-Making as Probabilistic Inference by Neural Sampling , 2014, Neuron.