ArticlePLoS computational biology2020
Stimulus-choice (mis)alignment in primate area MT.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Reassessing Choice Probability: What 59 Macaque Studies Tell Us About Decision-Related Activity in Visual Cortex.bioRxiv : the preprint server for biology · 2026Article
- Distinct sources of decision-related signals in visual cortex are represented in different local field potential bands.PLoS biology · 2026Article
- Contribution of spike timing to the neural code: from fast to slow timescales.Biological cybernetics · 2026Review
- Confirmation bias through selective readout of information encoded in human parietal cortex.Nature communications · 2025Article
- Confirmation Bias through Selective Readout of Information Encoded in Human Parietal Cortex.bioRxiv : the preprint server for biology · 2025Article
- Active vision in freely moving marmosets using head-mounted eye tracking.bioRxiv : the preprint server for biology · 2024Article
- Neuronal and Behavioral Responses to Naturalistic Texture Images in Macaque Monkeys.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Coexistence of state, choice, and sensory integration coding in barrel cortex LII/III.Nature communications · 2024Article
- Decision-related activity and movement selection in primate visual cortex.Science advances · 2024Article
- Continuous multiplexed population representations of task context in the mouse primary visual cortex.Nature communications · 2023Article
- Abstract perceptual choice signals during action-linked decisions in the human brain.PLoS biology · 2023Article
- Weak evidence for neural correlates of task-switching in macaque V1.Journal of neurophysiology · 2023Article
- Sensory and Choice Responses in MT Distinct from Motion Encoding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Neural Mechanisms That Make Perceptual Decisions Flexible.Annual review of physiology · 2023Review
- The structures and functions of correlations in neural population codes.Nature reviews. Neuroscience · 2022Review
- Task-induced neural covariability as a signature of approximate Bayesian learning and inference.PLoS computational biology · 2022Article
- Decision-related feedback in visual cortex lacks spatial selectivity.Nature communications · 2021Article
- Article
- Modeling statistical dependencies in multi-region spike train data.Current opinion in neurobiology · 2020Review
- Slow Drift of Neural Activity as a Signature of Impulsivity in Macaque Visual and Prefrontal Cortex.Neuron · 2020Article
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5 authors.
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Abstract
For stimuli near perceptual threshold, the trial-by-trial activity of single neurons in many sensory areas is correlated with the animal's perceptual report. This phenomenon has often been attributed to feedforward readout of the neural activity by the downstream decision-making circuits. The interpretation of choice-correlated activity is quite ambiguous, but its meaning can be better understood in the light of population-wide correlations among sensory neurons. Using a statistical nonlinear dimensionality reduction technique on single-trial ensemble recordings from the middle temporal (MT) area during perceptual-decision-making, we extracted low-dimensional latent factors that captured the population-wide fluctuations. We dissected the particular contributions of sensory-driven versus choice-correlated activity in the low-dimensional population code. We found that the latent factors strongly encoded the direction of the stimulus in single dimension with a temporal signature similar to that of single MT neurons. If the downstream circuit were optimally utilizing this information, choice-correlated signals should be aligned with this stimulus encoding dimension. Surprisingly, we found that a large component of the choice information resides in the subspace orthogonal to the stimulus representation inconsistent with the optimal readout view. This misaligned choice information allows the feedforward sensory information to coexist with the decision-making process. The time course of these signals suggest that this misaligned contribution likely is feedback from the downstream areas. We hypothesize that this non-corrupting choice-correlated feedback might be related to learning or reinforcing sensory-motor relations in the sensory population.
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