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Articles by Douglas A. Ruff
Neuronal heterogeneity of normalization strength in a circuit model
Abstract The size of a neuron's receptive field increases along the visual hierarchy. Neurons in higher-order visual areas integrate information through a canonical computation called normalization, where neurons respond sublinearly to multiple stimuli in the receptive field. Neurons in the visual cortex exhibit highly heterogeneous degrees of normalization.
Targeted V1 comodulation supports task-adaptive sensory decisions
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Coordinated multiplexing of information about separate objects in visual cortex
We now turn to the actual results with these predictions in mind, starting with the example units illustrated in Figure 2a. Units 1 and 2 exhibited congruent stimulus preferences: stimulus ‘A,’ elicited higher spike counts (red line) than stimulus ‘B’ (blue line) for both. Unit 3 had the opposite (incongruent) preference, with higher spike counts for ‘B’ than for ‘A.’ Figure 4a shows the activity of each of these units on individual ‘A-and-B’ stimulus presentations plotted against the others.
Attention improves information flow between neuronal populations without changing the communication subspace
Highlights • Attention improves linear response prediction between MT and SC • Prediction accuracy within areas is not affected • The dimensionality of the communication subspace between MT and SC remains the same • Improvements in prediction accuracy are not contingent on dimensionality changes Summary Visual attention allows observers to change the influence of different parts of a visual scene on their behavior, suggesting that information can be flexibly shared between visual cortex and...
Low rank mechanisms underlying flexible visual representations
Low rank mechanisms underlying flexible visual representations Douglas A. Ruff, Cheng Xue, Lily E. Kramer, Faisal Baqai, Marlene R. Cohen Proceedings of the National Academy of Sciences Nov 2020, 202005797; DOI: 10.1073/pnas.2005797117
Patterns of neural correlations in V1 vary with the number of objects
Abstract How the brain preserves information about more than one stimulus at a time remains poorly understood. We recently showed that when more than one stimulus is present, single neurons may fluctuate between coding one vs. the other(s) across some time period. A critical unanswered question is whether and how any such fluctuations are coordinated across the neural population.
Simultaneous multi-area recordings suggest that attention improves performance by reshaping stimulus representations
Abstract Visual attention dramatically improves individuals’ ability to see and modulates the responses of neurons in every known visual and oculomotor area, but whether such modulations can account for perceptual improvements is unclear. We measured the relationship between populations of visual neurons, oculomotor neurons and behavior during detection and discrimination tasks.
Cell Press: Cell Press
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