AIMC Topic: Visual Pathways
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Sparse deep predictive coding captures contour integration capabilities of the early visual system.
PLoS computational biology
Jan 26, 2021
Both neurophysiological and psychophysical experiments have pointed out the crucial role of recurrent and feedback connections to process context-dependent information in the early visual cortex. While numerous models have accounted for feedback effe...
A bioinspired angular velocity decoding neural network model for visually guided flights.
Neural networks : the official journal of the International Neural Network Society
Dec 28, 2020
Efficient and robust motion perception systems are important pre-requisites for achieving visually guided flights in future micro air vehicles. As a source of inspiration, the visual neural networks of flying insects such as honeybee and Drosophila p...
Artificial fly visual joint perception neural network inspired by multiple-regional collision detection.
Neural networks : the official journal of the International Neural Network Society
Dec 5, 2020
The biological visual system includes multiple types of motion sensitive neurons which preferentially respond to specific perceptual regions. However, it still keeps open how to borrow such neurons to construct bio-inspired computational models for m...
A Robust Collision Perception Visual Neural Network With Specific Selectivity to Darker Objects.
IEEE transactions on cybernetics
Dec 3, 2020
Building an efficient and reliable collision perception visual system is a challenging problem for future robots and autonomous vehicles. The biological visual neural networks, which have evolved over millions of years in nature and are working perfe...
A brain-inspired network architecture for cost-efficient object recognition in shallow hierarchical neural networks.
Neural networks : the official journal of the International Neural Network Society
Nov 28, 2020
The brain successfully performs visual object recognition with a limited number of hierarchical networks that are much shallower than artificial deep neural networks (DNNs) that perform similar tasks. Here, we show that long-range horizontal connecti...
Early Emergence of Solid Shape Coding in Natural and Deep Network Vision.
Current biology : CB
Oct 22, 2020
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. For almost 50 years, coding of object shape in V4 has been studied and conceived...
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference.
Nature neuroscience
Aug 10, 2020
Sensory cortices display a suite of ubiquitous dynamical features, such as ongoing noise variability, transient overshoots and oscillations, that have so far escaped a common, principled theoretical account. We developed a unifying model for these ph...
NeuroConstruct-based implementation of structured-light stimulated retinal circuitry.
BMC neuroscience
Jun 24, 2020
BACKGROUND: Retinal circuitry provides a fundamental window to neural networks, featuring widely investigated visual phenomena ranging from direction selectivity to fast detection of approaching motion. As the divide between experimental and theoreti...
From spatial navigation via visual construction to episodic memory and imagination.
Biological cybernetics
Apr 13, 2020
This hybrid of review and personal essay argues that models of visual construction are essential to extend spatial navigation models to models that link episodic memory and imagination. The starting point is the TAM-WG model, combining the Taxon Affo...
Visual information flow in Wilson-Cowan networks.
Journal of neurophysiology
Mar 11, 2020
In this paper, we study the communication efficiency of a psychophysically tuned cascade of Wilson-Cowan and divisive normalization layers that simulate the retina-V1 pathway. This is the first analysis of Wilson-Cowan networks in terms of multivaria...
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