AIMC Topic: Visual Cortex

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Enabling scale and rotation invariance in convolutional neural networks with retina like transformation.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Traditional convolutional neural networks (CNNs) struggle with scale and rotation transformations, resulting in reduced performance on transformed images. Previous research focused on designing specific CNN modules to extract transformation-invariant...
Rotation Retina Convolutional Neural Networks Image Processing, Computer-Assisted Visual Cortex Humans Neural Networks, Computer
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Representation of locomotive action affordances in human behavior, brains, and deep neural networks.

Proceedings of the National Academy of Sciences of the United States of America Jun 17, 2025
To decide how to move around the world, we must determine which locomotive actions (e.g., walking, swimming, or climbing) are afforded by the immediate visual environment. The neural basis of our ability to recognize locomotive affordances is unknown...
Young Adult Humans Locomotion Neural Networks, Computer Brain Visual Perception Adult Magnetic Resonance Imaging Female Visual Cortex Male Brain Mapping
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Neuronal Waveform Classification in Multielectrode Recordings Using Machine Learning Techniques and Multidimensional Analysis.

International journal of neural systems Jun 1, 2025
Extracellular recordings of neuronal spikes are crucial for studying brain activity. These signals are typically classified based on firing patterns and waveform shape, particularly trough-to-peak duration. While useful, this method oversimplifies th...
Machine Learning Action Potentials Signal Processing, Computer-Assisted Humans Neurons Visual Cortex
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Beyond binding: from modular to natural vision.

Trends in cognitive sciences Jun 1, 2025
The classical view of visual cortex organization as a collection of specialized modules processing distinct features like color and motion has profoundly influenced neuroscience for decades. This framework, rooted in historical philosophical distinct...
Animals Visual Perception Visual Cortex Humans Neural Networks, Computer
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Human Visual Pathways for Action Recognition versus Deep Convolutional Neural Networks: Representation Correspondence in Late but Not Early Layers.

Journal of cognitive neuroscience Nov 1, 2024
Deep convolutional neural networks (DCNNs) have attained human-level performance for object categorization and exhibited representation alignment between network layers and brain regions. Does such representation alignment naturally extend to other v...
Visual Cortex Photic Stimulation Recognition, Psychology Pattern Recognition, Visual Neural Networks, Computer Humans Visual Pathways Deep Learning Adult Female Magnetic Resonance Imaging Male Young Adult
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Convolutional neural network models applied to neuronal responses in macaque V1 reveal limited nonlinear processing.

Journal of vision Jun 3, 2024
Computational models of the primary visual cortex (V1) have suggested that V1 neurons behave like Gabor filters followed by simple nonlinearities. However, recent work employing convolutional neural network (CNN) models has suggested that V1 relies o...
Animals Models, Neurological Nonlinear Dynamics Photic Stimulation Neurons Neural Networks, Computer Primary Visual Cortex Visual Cortex Macaca
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Probing the Structure and Functional Properties of the Dropout-Induced Correlated Variability in Convolutional Neural Networks.

Neural computation Mar 21, 2024
Computational neuroscience studies have shown that the structure of neural variability to an unchanged stimulus affects the amount of information encoded. Some artificial deep neural networks, such as those with Monte Carlo dropout layers, also have ...
Neural Networks, Computer Neurons Visual Cortex
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Human Visual Cortex and Deep Convolutional Neural Network Care Deeply about Object Background.

Journal of cognitive neuroscience Mar 1, 2024
Deep convolutional neural networks (DCNNs) are able to partially predict brain activity during object categorization tasks, but factors contributing to this predictive power are not fully understood. Our study aimed to investigate the factors contrib...
Recognition, Psychology Neural Networks, Computer Visual Cortex Humans
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A connectivity-constrained computational account of topographic organization in primate high-level visual cortex.

Proceedings of the National Academy of Sciences of the United States of America Jan 18, 2022
Inferotemporal (IT) cortex in humans and other primates is topographically organized, containing multiple hierarchically organized areas selective for particular domains, such as faces and scenes. This organization is commonly viewed in terms of evol...
Visual Cortex Computer Simulation Primates Animals Models, Neurological Neural Networks, Computer Visual Pathways Neurons
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Diverse Deep Neural Networks All Predict Human Inferior Temporal Cortex Well, After Training and Fitting.

Journal of cognitive neuroscience Sep 1, 2021
Deep neural networks (DNNs) trained on object recognition provide the best current models of high-level visual cortex. What remains unclear is how strongly experimental choices, such as network architecture, training, and fitting to brain data, contr...
Visual Cortex Temporal Lobe Magnetic Resonance Imaging Humans Neural Networks, Computer Visual Perception
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