AIMC Topic: Visual Cortex
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Optimized AI-based neural decoding from BOLD fMRI signal for analyzing visual and semantic ROIs in the human visual system.
Journal of neural engineering
Aug 26, 2025
. AI-based neural decoding reconstructs visual perception by leveraging generative models to map brain activity measured through functional magnetic resonance imaging (fMRI) into the observed visual stimulus.. Traditionally, ridge linear models trans...
The Representational Organization of Static and Dynamic Visual Features in the Human Cortex.
The Journal of neuroscience : the official journal of the Society for Neuroscience
Jul 9, 2025
Visual information consists of static and dynamic properties. How is their representation organized in the visual system? Static information has been associated with ventral temporal regions while dynamic information with lateral and dorsal regions. ...
A simplified minimodel of visual cortical neurons.
Nature communications
Jul 1, 2025
Artificial neural networks (ANNs) have been shown to predict neural responses in primary visual cortex (V1) better than classical models. However, this performance often comes at the expense of simplicity and interpretability. Here we introduce a new...
CNN-extracted features generate synthetic fMRI responses to unseen images.
Vision research
Jun 21, 2025
Inspired by biological vision, convolutional neural networks (CNNs) have tackled challenging image recognition problems once considered the sole purview of human expertise. In turn, CNNs are now widely used as a framework for studying human vision. T...
Pre-training artificial neural networks with spontaneous retinal activity improves motion prediction in natural scenes.
PLoS computational biology
Mar 17, 2025
The ability to process visual stimuli rich with motion represents an essential skill for animal survival and is largely already present at the onset of vision. Although the exact mechanisms underlying its maturation remain elusive, spontaneous activi...
Towards realistic simulation of disease progression in the visual cortex with CNNs.
Scientific reports
Feb 19, 2025
Convolutional neural networks (CNNs) and mammalian visual systems share architectural and information processing similarities. We leverage these parallels to develop an in-silico CNN model simulating diseases affecting the visual system. This model a...
Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding.
International journal of neural systems
Jan 10, 2025
Visual semantic decoding aims to extract perceived semantic information from the visual responses of the human brain and convert it into interpretable semantic labels. Although significant progress has been made in semantic decoding across individual...
Acquisition of similar properties by filters in the same stream of a multistream convolutional neural network.
Scientific reports
Jan 2, 2025
Functional modular organization is observed in a variety of cortical areas in the brain. In the visual cortex of primates, adjacent neurons often respond to the same visual submodality, such as color or orientation, and have a similar preferred orien...
Recurrent models of orientation selectivity enable robust early-vision processing in mixed-signal neuromorphic hardware.
Nature communications
Jan 2, 2025
Mixed signal analog/digital neuromorphic circuits represent an ideal medium for reproducing bio-physically realistic dynamics of biological neural systems in real-time. However, similar to their biological counterparts, these circuits have limited re...
Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits.
Neural networks : the official journal of the International Neural Network Society
Sep 28, 2024
Efficient sensory detection requires the capacity to ignore task-irrelevant information, for example when optic flow patterns created by egomotion need to be disentangled from object perception. To investigate how this is achieved in the visual syste...
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