AIMC Topic: Visual Pathways
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The Representational Organization of Static and Dynamic Visual Features in the Human Cortex.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 9, 2025
Visual information consists of static and dynamic properties. How is their representation organized in the visual system? Static information has been associated with ventral temporal regions while dynamic information with lateral and dorsal regions. ...
Robust Sensory Information Reconstruction and Classification With Augmented Spikes.
IEEE transactions on neural networks and learning systems
Apr 4, 2025
Sensory information recognition is primarily processed through the ventral and dorsal visual pathways in the primate brain visual system, which exhibits layered feature representations bearing a strong resemblance to convolutional neural networks (CN...
High-level visual processing in the lateral geniculate nucleus revealed using goal-driven deep learning.
Journal of neuroscience methods
Mar 21, 2025
BACKGROUND: The Lateral Geniculate Nucleus (LGN) is an essential contributor to high-level visual processing despite being an early subcortical area in the visual system. Current LGN computational models focus on its basic properties, with less empha...
Bio-inspired two-stage network for efficient RGB-D salient object detection.
Neural networks : the official journal of the International Neural Network Society
Feb 7, 2025
Recently, with the development of the Convolutional Neural Network and Vision Transformer, the detection accuracy of the RGB-D salient object detection (SOD) model has been greatly improved. However, most of the existing methods cannot balance comput...
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding.
International journal of neural systems
Jan 10, 2025
Visual semantic decoding aims to extract perceived semantic information from the visual responses of the human brain and convert it into interpretable semantic labels. Although significant progress has been made in semantic decoding across individual...
Recurrent models of orientation selectivity enable robust early-vision processing in mixed-signal neuromorphic hardware.
Nature communications
Jan 2, 2025
Mixed signal analog/digital neuromorphic circuits represent an ideal medium for reproducing bio-physically realistic dynamics of biological neural systems in real-time. However, similar to their biological counterparts, these circuits have limited re...
Exploring neural architectures for simultaneously recognizing multiple visual attributes.
Scientific reports
Dec 3, 2024
Much experimental evidence in neuroscience has suggested a division of higher visual processing into a ventral pathway specialized for object recognition and a dorsal pathway specialized for spatial recognition. Previous computational studies have su...
A deep learning model of dorsal and ventral visual streams for DVSD.
Scientific reports
Nov 10, 2024
Artificial intelligence (AI) methods attempt to simulate the behavior and the neural activity of the brain. In particular, Convolutional Neural Networks (CNNs) offer state-of-the-art models of the ventral visual stream. Furthermore, no proposed model...
TSOM: Small object motion detection neural network inspired by avian visual circuit.
Neural networks : the official journal of the International Neural Network Society
Nov 9, 2024
Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian visual system is capable of processing motion information in various ...
Neuroscientific insights about computer vision models: a concise review.
Biological cybernetics
Oct 9, 2024
The development of biologically-inspired computational models has been the focus of study ever since the artificial neuron was introduced by McCulloch and Pitts in 1943. However, a scrutiny of literature reveals that most attempts to replicate the hi...
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