AIMC Topic: Visual Cortex

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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...
Neural Networks, Computer Visual Perception Visual Cortex Visual Pathways Brain Animals Pattern Recognition, Automated
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Capturing human categorization of natural images by combining deep networks and cognitive models.

Nature communications Oct 27, 2020
Human categorization is one of the most important and successful targets of cognitive modeling, with decades of model development and assessment using simple, low-dimensional artificial stimuli. However, it remains unclear how these findings relate t...
Humans Deep Learning Models, Psychological Judgment Pattern Recognition, Visual Cognition Decision Making Memory Visual Cortex
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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...
Intravital Microscopy Microscopy, Fluorescence, Multiphoton Form Perception Electroencephalography Male Visual Pathways Animals Macaca mulatta Neurons Deep Learning Visual Cortex Photic Stimulation Models, Neurological Electrodes, Implanted
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Comparing biological and artificial vision systems: Network measures of functional connectivity.

Neuroscience letters Sep 24, 2020
Advances in Deep Convolutional Neural Networks (DCNN) provide new opportunities for computational neuroscience to pose novel questions regarding the function of biological visual systems. Some attempts have been made to utilize advances in machine le...
Recognition, Psychology Data Interpretation, Statistical Neurons Visual Cortex Mice Models, Neurological Neural Networks, Computer Animals
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Infrared and visible image fusion method of dual NSCT and PCNN.

PloS one Sep 18, 2020
To solve the problem that the details of fusion images are not retained well and the information of feature targets is incomplete, we proposed a new fusion method of infrared (IR) and visible (VI) image-IR and VI image fusion method of dual non-subsa...
Image Processing, Computer-Assisted Artificial Intelligence Humans Cats Algorithms Nerve Net Neural Networks, Computer Infrared Rays Animals Visual Cortex
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Motion opponency examined throughout visual cortex with multivariate pattern analysis of fMRI data.

Human brain mapping Sep 2, 2020
This study explores how the human brain solves the challenge of flicker noise in motion processing. Despite providing no useful directional motion information, flicker is common in the visual environment and exhibits omnidirectional motion energy whi...
Motion Perception Multivariate Analysis Visual Cortex Humans Adult Support Vector Machine Magnetic Resonance Imaging Brain Mapping
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A recurrent circuit implements normalization, simulating the dynamics of V1 activity.

Proceedings of the National Academy of Sciences of the United States of America Aug 25, 2020
The normalization model has been applied to explain neural activity in diverse neural systems including primary visual cortex (V1). The model's defining characteristic is that the response of each neuron is divided by a factor that includes a weighte...
Neural Networks, Computer Animals Computational Biology Models, Neurological Neurons Visual Cortex
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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...
Models, Neurological Haplorhini Visual Cortex Visual Pathways Humans Neural Networks, Computer Animals
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A Comparative Analysis of Visual Encoding Models Based on Classification and Segmentation Task-Driven CNNs.

Computational and mathematical methods in medicine Aug 1, 2020
Nowadays, visual encoding models use convolution neural networks (CNNs) with outstanding performance in computer vision to simulate the process of human information processing. However, the prediction performances of encoding models will have differe...
Algorithms Databases, Factual Functional Neuroimaging Neural Networks, Computer Artificial Intelligence Photic Stimulation Image Processing, Computer-Assisted Visual Perception Humans Magnetic Resonance Imaging Visual Cortex Models, Neurological
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Improved object recognition using neural networks trained to mimic the brain's statistical properties.

Neural networks : the official journal of the International Neural Network Society Jul 29, 2020
The current state-of-the-art object recognition algorithms, deep convolutional neural networks (DCNNs), are inspired by the architecture of the mammalian visual system, and are capable of human-level performance on many tasks. As they are trained for...
Pattern Recognition, Visual Visual Cortex Neural Networks, Computer Animals Models, Neurological Pattern Recognition, Automated Haplorhini
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