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Neuroscience and Neurobiology Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- Analysis-by-synthesis (1)
- Attention (1)
- Bias (1)
- CNN models (1)
- Central vision (1)
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- Computational models of vision (1)
- Dichoptic stimuli (1)
- FMRI (1)
- Feedforward and feedback processing in the ventral stream (1)
- Learning (1)
- MEG (1)
- Object (1)
- Peripheral vision (1)
- Primary visual cortex (V1) (1)
- Reward (1)
- Scene (1)
- Similarity-based fusion of MEG and fMRI (1)
- Top-down feedback (1)
- Vision (1)
- Visual decoding (1)
Articles 1 - 4 of 4
Full-Text Articles in Neuroscience and Neurobiology
Central And Peripheral Difference In Perceptual Bias In Ambiguous Perception Using Dichoptic Stimuli --- Implications For The Analysis-By-Synthesis Process In Visual Recognition, Li Zhaoping Prof
MODVIS Workshop
No abstract provided.
Mapping The Spatio-Temporal Dynamics Of Vision In The Human Brain, Aude Oliva
Mapping The Spatio-Temporal Dynamics Of Vision In The Human Brain, Aude Oliva
MODVIS Workshop
Recognition of objects and scenes is a fundamental function of the human brain, necessitating a complex neural machinery that transforms low level visual information into semantic content. Despite significant advances in characterizing the locus and function of key visual areas, integrating the temporal and spatial dynamics of this processing stream has posed a decades-long challenge to human neuroscience. In this talk I will describe a brain mapping approach to combine magnetoencephalography (MEG), functional MRI (fMRI) measurements, and convolutional neural networks (CNN) by representational similarity analysis to yield a spatially and temporally integrated characterization of neuronal representations when observers perceive visual …
Similarity-Based Fusion Of Meg And Fmri Discerns Early Feedforward And Feedback Processing In The Ventral Stream, Yalda Mohsenzadeh Dr., Radoslaw Martin Cichy Dr., Aude Oliva Dr., Dimitrios Pantazis Dr.
Similarity-Based Fusion Of Meg And Fmri Discerns Early Feedforward And Feedback Processing In The Ventral Stream, Yalda Mohsenzadeh Dr., Radoslaw Martin Cichy Dr., Aude Oliva Dr., Dimitrios Pantazis Dr.
MODVIS Workshop
Successful models of vision, such as DNNs and HMAX, are inspired by the human visual system, relying on a hierarchical cascade of feedforward transformations akin to the ventral stream. Despite these advances, the human visual cortex remains unique in complexity, with feedforward and feedback pathways characterized by rapid spatiotemporal dynamics as visual information is transformed into semantic content. Thus, a systematic characterization of the spatiotemporal and representational space of the ventral visual pathway can offer novel insights in the duration and sequencing of cognitive processes, suggesting computational constraints and new architectures for computer vision models.
To discern the feedforward and …
Modeling The Mechanisms Of Reward Learning That Bias Visual Attention, Jason Hays, Fabian Soto Phd
Modeling The Mechanisms Of Reward Learning That Bias Visual Attention, Jason Hays, Fabian Soto Phd
MODVIS Workshop
No abstract provided.