AIMC Topic: Visual Cortex

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Depth in convolutional neural networks solves scene segmentation.

PLoS computational biology Jul 24, 2020
Feed-forward deep convolutional neural networks (DCNNs) are, under specific conditions, matching and even surpassing human performance in object recognition in natural scenes. This performance suggests that the analysis of a loose collection of image...
Young Adult Adult Male Brain Female Reproducibility of Results Pattern Recognition, Visual Visual Cortex Recognition, Psychology Adolescent Signal Processing, Computer-Assisted Visual Perception Humans Neural Networks, Computer
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A Modeling Study of the Emergence of Eye Position Gain Fields Modulating the Responses of Visual Neurons in the Brain.

Frontiers in neural circuits May 26, 2020
The responses of many cortical neurons to visual stimuli are modulated by the position of the eye. This form of gain modulation by eye position does not change the retinotopic selectivity of the responses, but only changes the amplitude of the respon...
Humans Neural Networks, Computer Eye Movements Neurons Visual Fields Normal Distribution Photic Stimulation Visual Cortex Visual Perception
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Local features and global shape information in object classification by deep convolutional neural networks.

Vision research May 12, 2020
Deep convolutional neural networks (DCNNs) show impressive similarities to the human visual system. Recent research, however, suggests that DCNNs have limitations in recognizing objects by their shape. We tested the hypothesis that DCNNs are sensitiv...
Pattern Recognition, Visual Visual Cortex Form Perception Deep Learning Models, Neurological Cues Humans Neural Networks, Computer Algorithms
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Time-resolved correspondences between deep neural network layers and EEG measurements in object processing.

Vision research May 7, 2020
The ventral visual stream is known to be organized hierarchically, where early visual areas processing simplistic features feed into higher visual areas processing more complex features. Hierarchical convolutional neural networks (CNNs) were largely ...
Humans Electroencephalography Visual Cortex Neural Networks, Computer Signal Processing, Computer-Assisted Time Factors Visual Perception
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Perception-to-Image: Reconstructing Natural Images from the Brain Activity of Visual Perception.

Annals of biomedical engineering Apr 13, 2020
The reappearance of human visual perception is a challenging topic in the field of brain decoding. Due to the complexity of visual stimuli and the constraints of fMRI data collection, the present decoding methods can only reconstruct the basic outlin...
Adult Male Image Processing, Computer-Assisted Humans Neural Networks, Computer Female Magnetic Resonance Imaging Visual Perception Visual Cortex
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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...
Visual Perception Visual Cortex Visual Pathways Models, Biological Retina Humans Nerve Net Neural Networks, Computer
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Reconstruction of natural visual scenes from neural spikes with deep neural networks.

Neural networks : the official journal of the International Neural Network Society Feb 8, 2020
Neural coding is one of the central questions in systems neuroscience for understanding how the brain processes stimulus from the environment, moreover, it is also a cornerstone for designing algorithms of brain-machine interface, where decoding inco...
Visual Cortex Magnetic Resonance Imaging Models, Neurological Retinal Ganglion Cells Neural Networks, Computer Brain-Computer Interfaces Animals Evoked Potentials, Visual Visual Perception
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Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks.

Neural computation Sep 16, 2019
Deep convolutional neural networks (CNNs) are becoming increasingly popular models to predict neural responses in visual cortex. However, contextual effects, which are prevalent in neural processing and in perception, are not explicitly handled by cu...
Visual Cortex Neural Networks, Computer Animals Models, Neurological Humans
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Visual Evoked Response Modulation Occurs in a Complementary Manner Under Dynamic Circuit Framework.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 12, 2019
The steady-state visual-evoked potential (SSVEP) induced by the periodic visual stimulus plays an important role in vision research. An increasing number of studies use the SSVEP to manipulate intrinsic oscillation and further regulate test performan...
Visual Cortex Computer Simulation Alpha Rhythm Female Evoked Potentials, Visual Humans Adult Cerebral Cortex Male Neural Networks, Computer Photic Stimulation Electroencephalography Algorithms Brain-Computer Interfaces
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Characterization of the non-stationary nature of steady-state visual evoked potentials using echo state networks.

PloS one Jul 5, 2019
State Visual Evoked Potentials (SSVEPs) arise from a resonance phenomenon in the visual cortex that is produced by a repetitive visual stimulus. SSVEPs have long been considered a steady-state response resulting from purely oscillatory components pha...
Models, Neurological Electroencephalography Adult Brain-Computer Interfaces Humans Evoked Potentials, Visual Male Neural Networks, Computer Photic Stimulation Middle Aged Algorithms Visual Cortex
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