AIMC Topic: Visual Cortex

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An ecologically motivated image dataset for deep learning yields better models of human vision.

Proceedings of the National Academy of Sciences of the United States of America Feb 23, 2021
Deep neural networks provide the current best models of visual information processing in the primate brain. Drawing on work from computer vision, the most commonly used networks are pretrained on data from the ImageNet Large Scale Visual Recognition ...
Humans Neural Networks, Computer Deep Learning Visual Perception Pattern Recognition, Visual Visual Cortex Models, Neurological Brain Mapping Ecology
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Exploring and explaining properties of motion processing in biological brains using a neural network.

Journal of vision Feb 3, 2021
Visual motion perception underpins behaviors ranging from navigation to depth perception and grasping. Our limited access to biological systems constrains our understanding of how motion is processed within the brain. Here we explore properties of mo...
Motion Perception Psychophysics Animals Humans Photic Stimulation Neural Networks, Computer Visual Perception Visual Cortex Pattern Recognition, Automated Vision, Ocular
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Unsupervised neural network models of the ventral visual stream.

Proceedings of the National Academy of Sciences of the United States of America Jan 19, 2021
Deep neural networks currently provide the best quantitative models of the response patterns of neurons throughout the primate ventral visual stream. However, such networks have remained implausible as a model of the development of the ventral stream...
Humans Neural Networks, Computer Neurons Datasets as Topic Nerve Net Animals Child Unsupervised Machine Learning Macaca Pattern Recognition, Visual Visual Cortex
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Deep neural networks capture texture sensitivity in V2.

Journal of vision Jul 1, 2020
Deep convolutional neural networks (CNNs) trained on visual objects have shown intriguing ability to predict some response properties of visual cortical neurons. However, the factors (e.g., if the model is trained or not, receptive field size) and co...
Form Perception Visual Cortex Contrast Sensitivity Humans Neural Networks, Computer Signal Processing, Computer-Assisted Neurons
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Neural population control via deep image synthesis.

Science (New York, N.Y.) May 3, 2019
Particular deep artificial neural networks (ANNs) are today's most accurate models of the primate brain's ventral visual stream. Using an ANN-driven image synthesis method, we found that luminous power patterns (i.e., images) can be applied to primat...
Macaca Visual Fields Nerve Net Visual Cortex Models, Neurological Neurons Neural Networks, Computer Animals
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Using deep learning to probe the neural code for images in primary visual cortex.

Journal of vision Apr 1, 2019
Primary visual cortex (V1) is the first stage of cortical image processing, and major effort in systems neuroscience is devoted to understanding how it encodes information about visual stimuli. Within V1, many neurons respond selectively to edges of ...
Orientation, Spatial Deep Learning Visual Cortex Macaca Neurons Orientation Neural Networks, Computer Visual Perception Animals
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Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision.

Cerebral cortex (New York, N.Y. : 1991) Dec 1, 2018
Convolutional neural network (CNN) driven by image recognition has been shown to be able to explain cortical responses to static pictures at ventral-stream areas. Here, we further showed that such CNN could reliably predict and decode functional magn...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Models, Neurological Brain Mapping Pattern Recognition, Visual Visual Cortex Young Adult Adult Deep Learning Humans Female
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Using goal-driven deep learning models to understand sensory cortex.

Nature neuroscience Mar 1, 2016
Fueled by innovation in the computer vision and artificial intelligence communities, recent developments in computational neuroscience have used goal-driven hierarchical convolutional neural networks (HCNNs) to make strides in modeling neural single-...
Humans Neural Networks, Computer Goals Visual Cortex Somatosensory Cortex Learning Animals Models, Neurological
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A Simple Network Architecture Accounts for Diverse Reward Time Responses in Primary Visual Cortex.

The Journal of neuroscience : the official journal of the Society for Neuroscience Sep 16, 2015
UNLABELLED: Many actions performed by animals and humans depend on an ability to learn, estimate, and produce temporal intervals of behavioral relevance. Exemplifying such learning of cued expectancies is the observation of reward-timing activity in ...
Membrane Potentials Reinforcement, Psychology Visual Cortex Models, Neurological Neurons Reward Learning Neural Networks, Computer Nerve Net Animals Computer Simulation Synaptic Transmission Neuronal Plasticity
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