ArticleProceedings of the National Academy of Sciences of the United States of America2012
Hierarchical processing of complex motion along the primate dorsal visual pathway.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Causal disconnectomics of motion perception networks: insights from transcranial magnetic stimulation-induced BOLD responses.The Journal of physiology · 2026Article
- Article
- Connectivity, Computation, and Plasticity of the Early Visual System.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- Area MT carries acceleration information in a quickly and directly decodable representation.bioRxiv : the preprint server for biology · 2025Article
- Computational and Neuronal Basis of Visual Confidence.Annual review of vision science · 2025Review
- Hierarchical and distinct biological motion processing in macaque visual cortical areas MT and MST.Communications biology · 2025Article
- A deep learning model of dorsal and ventral visual streams for DVSD.Scientific reports · 2024Article
- Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the Retina.PLoS computational biology · 2024Article
- Characterizing Spatiotemporal Population Receptive Fields in Human Visual Cortex with fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Asymmetric stimulus representations bias visual perceptual learning.Journal of vision · 2024Article
- Hierarchical VAEs provide a normative account of motion processing in the primate brain.bioRxiv : the preprint server for biology · 2023Article
- Incorporating models of subcortical processing improves the ability to predict EEG responses to natural speech.Hearing research · 2023Article
- Oculomotor feature discrimination is cortically mediated.Frontiers in systems neuroscience · 2023Article
- Visual motion perception as online hierarchical inference.Nature communications · 2022Article
- A neural correlate of perceptual segmentation in macaque middle temporal cortical area.Nature communications · 2022Article
- Distributed encoding of curvilinear self-motion across spiral optic flow patterns.Scientific reports · 2022Article
- Cortical Motion Perception Emerges from Dimensionality Reduction with Evolved Spike-Timing-Dependent Plasticity Rules.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Diversity of spatiotemporal coding reveals specialized visual processing streams in the mouse cortex.Nature communications · 2022Article
- Electrophysiological dataset from macaque visual cortical area MST in response to a novel motion stimulus.Scientific data · 2022Article
- Human visual motion perception shows hallmarks of Bayesian structural inference.Scientific reports · 2021Article
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4 authors.
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Abstract
Neurons in the medial superior temporal (MST) area of the primate visual cortex respond selectively to complex motion patterns defined by expansion, rotation, and deformation. Consequently they are often hypothesized to be involved in important behavioral functions, such as encoding the velocities of moving objects and surfaces relative to the observer. However, the computations underlying such selectivity are unknown. In this work we have developed a unique, naturalistic motion stimulus and used it to probe the complex selectivity of MST neurons. The resulting data were then used to estimate the properties of the feed-forward inputs to each neuron. This analysis yielded models that successfully accounted for much of the observed stimulus selectivity, provided that the inputs were combined via a nonlinear integration mechanism that approximates a multiplicative interaction among MST inputs. In simulations we found that this type of integration has the functional role of improving estimates of the 3D velocity of moving objects. As this computation is of general utility for detecting complex stimulus features, we suggest that it may represent a fundamental aspect of hierarchical sensory processing.
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