AIMC Topic: Visual Pathways
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Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits.
Neural networks : the official journal of the International Neural Network Society
Sep 28, 2024
Efficient sensory detection requires the capacity to ignore task-irrelevant information, for example when optic flow patterns created by egomotion need to be disentangled from object perception. To investigate how this is achieved in the visual syste...
The Quest for an Integrated Set of Neural Mechanisms Underlying Object Recognition in Primates.
Annual review of vision science
Sep 2, 2024
Inferences made about objects via vision, such as rapid and accurate categorization, are core to primate cognition despite the algorithmic challenge posed by varying viewpoints and scenes. Until recently, the brain mechanisms that support these capab...
Factorized visual representations in the primate visual system and deep neural networks.
eLife
Jul 5, 2024
Object classification has been proposed as a principal objective of the primate ventral visual stream and has been used as an optimization target for deep neural network models (DNNs) of the visual system. However, visual brain areas represent many d...
A unifying framework for functional organization in early and higher ventral visual cortex.
Neuron
May 10, 2024
A key feature of cortical systems is functional organization: the arrangement of functionally distinct neurons in characteristic spatial patterns. However, the principles underlying the emergence of functional organization in the cortex are poorly un...
Hierarchies in Visual Pathway: Functions and Inspired Artificial Vision.
Advanced materials (Deerfield Beach, Fla.)
Nov 30, 2023
The development of artificial intelligence has posed a challenge to machine vision based on conventional complementary metal-oxide semiconductor (CMOS) circuits owing to its high latency and inefficient power consumption originating from the data shu...
Neural representational geometry underlies few-shot concept learning.
Proceedings of the National Academy of Sciences of the United States of America
Oct 17, 2022
Understanding the neural basis of the remarkable human cognitive capacity to learn novel concepts from just one or a few sensory experiences constitutes a fundamental problem. We propose a simple, biologically plausible, mathematically tractable, and...
A self-supervised domain-general learning framework for human ventral stream representation.
Nature communications
Jan 25, 2022
Anterior regions of the ventral visual stream encode substantial information about object categories. Are top-down category-level forces critical for arriving at this representation, or can this representation be formed purely through domain-general ...
Visual prototypes in the ventral stream are attuned to complexity and gaze behavior.
Nature communications
Nov 18, 2021
Early theories of efficient coding suggested the visual system could compress the world by learning to represent features where information was concentrated, such as contours. This view was validated by the discovery that neurons in posterior visual ...
Examining the Coding Strength of Object Identity and Nonidentity Features in Human Occipito-Temporal Cortex and Convolutional Neural Networks.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Mar 31, 2021
A visual object is characterized by multiple visual features, including its identity, position and size. Despite the usefulness of identity and nonidentity features in vision and their joint coding throughout the primate ventral visual processing pat...
Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder.
PLoS computational biology
Mar 24, 2021
While vision evokes a dense network of feedforward and feedback neural processes in the brain, visual processes are primarily modeled with feedforward hierarchical neural networks, leaving the computational role of feedback processes poorly understoo...
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