AIMC Topic: Photic Stimulation
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Robust Decoding of Rich Dynamical Visual Scenes With Retinal Spikes.
IEEE transactions on neural networks and learning systems
Feb 6, 2025
Sensory information transmitted to the brain activates neurons to create a series of coping behaviors. Understanding the mechanisms of neural computation and reverse engineering the brain to build intelligent machines requires establishing a robust r...
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...
Direct perception of affective valence from vision.
Nature communications
Dec 30, 2024
Subjective feelings are thought to arise from conceptual and bodily states. We examine whether the valence of feelings may also be decoded directly from objective ecological statistics of the visual environment. We train a visual valence (VV) machine...
Identification of movie encoding neurons enables movie recognition AI.
Proceedings of the National Academy of Sciences of the United States of America
Nov 19, 2024
Natural visual scenes are dominated by spatiotemporal image dynamics, but how the visual system integrates "movie" information over time is unclear. We characterized optic tectal neuronal receptive fields using sparse noise stimuli and reverse correl...
TSOM: Small object motion detection neural network inspired by avian visual circuit.
Neural networks : the official journal of the International Neural Network Society
Nov 9, 2024
Detecting small moving objects in complex backgrounds from an overhead perspective is a highly challenging task for machine vision systems. As an inspiration from nature, the avian visual system is capable of processing motion information in various ...
A hybrid local-global neural network for visual classification using raw EEG signals.
Scientific reports
Nov 8, 2024
EEG-based brain-computer interfaces (BCIs) have the potential to decode visual information. Recently, artificial neural networks (ANNs) have been used to classify EEG signals evoked by visual stimuli. However, methods using ANNs to extract features f...
Task-oriented EEG denoising generative adversarial network for enhancing SSVEP-BCI performance.
Journal of neural engineering
Nov 5, 2024
The quality of electroencephalogram (EEG) signals directly impacts the performance of brain-computer interface (BCI) tasks. Many methods have been proposed to eliminate noise from EEG signals, but most of these methods focus solely on signal denoisin...
Decoding Brain Signals from Rapid-Event EEG for Visual Analysis Using Deep Learning.
Sensors (Basel, Switzerland)
Oct 30, 2024
The perception and recognition of objects around us empower environmental interaction. Harnessing the brain's signals to achieve this objective has consistently posed difficulties. Researchers are exploring whether the poor accuracy in this field is ...
Infants' psychophysiological responses to eye contact with a human and with a humanoid robot.
Biological psychology
Aug 17, 2024
Eye contact with a human and with a humanoid robot elicits attention- and affect-related psychophysiological responses. However, these responses have mostly been studied in adults, leaving their developmental origin poorly understood. In this study, ...
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