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Articles by Ramanujan Srinath
Stable readout of visual representations mediates flexible generalization
Abstract Flexible visually guided behavior requires visual generalization, mapping diverse inputs to a common inference, and behavioral generalization, mapping one inference to multiple actions. Here, we tested whether visual neurons support both by maintaining a relatively fixed mapping between visual information amid many variations in stimuli and actions.
Coordinated Response Modulations Enable Flexible Use of Visual Information
Abstract We use sensory information in remarkably flexible ways. We can generalize by ignoring task-irrelevant features, report different features of a stimulus, and use different actions to report a perceptual judgment. These forms of flexible behavior are associated with small modulations of the responses of sensory neurons.
Orthogonal neural representations support perceptual judgements of natural stimuli
Abstract In natural behavior, observers must separate relevant information from a barrage of irrelevant information. Many studies have investigated the neural underpinnings of this ability using artificial stimuli presented on simple backgrounds. Natural viewing, however, carries a set of challenges that are inaccessible using artificial stimuli, including neural responses to background objects that are task-irrelevant.
Object representation in a gravitational reference frame
Editor's evaluation In this study, the authors investigate whether neurons in the inferior temporal (IT) cortex encode features relative to the absolute gravitational vertical, by recording responses to objects in varying orientations while monkeys viewed them sitting in physically rotated chairs. They find surprising and compelling evidence that neural tuning is unaffected by physical whole-body tilt, which cannot be explained by any compensatory torsional rotations of the eyes.
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...
Early Emergence of Solid Shape Coding in Natural and Deep Network Vision
Highlights • Brain coding of solid shape emerges at the beginning, not end, of object processing • Early-stage area V4 processes flat and solid shape in parallel in distinct modules • Artificial deep visual networks (AlexNet) also encode solid shape in early layers Summary Area V4 is the first object-specific processing stage in the ventral visual pathway, just as area MT is the first motion-specific processing stage in the dorsal pathway.
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