EEG-ConvTransformer for single-trial EEG-based visual stimulus classification
S Bagchi, DR Bathula - Pattern Recognition, 2022 - Elsevier
Different categories of visual stimuli evoke distinct activation patterns in the human brain.
These patterns can be captured with EEG for utilization in application such as Brain …
These patterns can be captured with EEG for utilization in application such as Brain …
Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals
Objective. Brain–computer interfaces (BCIs) enable a direct communication pathway
between the human brain and external devices, without relying on the traditional peripheral …
between the human brain and external devices, without relying on the traditional peripheral …
Radical flexibility of neural representation in frontoparietal cortex and the challenge of linking it to behaviour
While many brain networks are specialised for processing specific types of information, a
network of frontoparietal regions is engaged by a wide range of cognitive demands. Here …
network of frontoparietal regions is engaged by a wide range of cognitive demands. Here …
Generalisability of epileptiform patterns across time and patients
H Karimi-Rouzbahani, A McGonigal - Scientific Reports, 2024 - nature.com
The complexity of localising the epileptogenic zone (EZ) contributes to surgical resection
failures in achieving seizure freedom. The distinct patterns of epileptiform activity during …
failures in achieving seizure freedom. The distinct patterns of epileptiform activity during …
Perceptual difficulty modulates the direction of information flow in familiar face recognition
Humans are fast and accurate when they recognize familiar faces. Previous
neurophysiological studies have shown enhanced representations for the dichotomy of …
neurophysiological studies have shown enhanced representations for the dichotomy of …
Evidence for multiscale multiplexed representation of visual features in EEG
H Karimi-Rouzbahani - Neural Computation, 2024 - direct.mit.edu
Distinct neural processes such as sensory and memory processes are often encoded over
distinct timescales of neural activations. Animal studies have shown that this multiscale …
distinct timescales of neural activations. Animal studies have shown that this multiscale …
Caveats and nuances of model-based and model-free representational connectivity analysis
Brain connectivity analyses have conventionally relied on statistical relationship between
one-dimensional summaries of activation in different brain areas. However, summarizing …
one-dimensional summaries of activation in different brain areas. However, summarizing …
[HTML][HTML] Multimodal and quantitative analysis of the epileptogenic zone network in the pre-surgical evaluation of drug-resistant focal epilepsy
H Karimi-Rouzbahani, S Vogrin, M Cao… - Neurophysiologie …, 2024 - Elsevier
Surgical resection for epilepsy often fails due to incomplete Epileptogenic Zone Network
(EZN) localization from scalp electroencephalography (EEG), stereo-EEG (SEEG), and …
(EZN) localization from scalp electroencephalography (EEG), stereo-EEG (SEEG), and …
A linear-attention-combined convolutional neural network for EEG-based visual stimulus recognition
J Huang, W Chen, T Zhang - Biocybernetics and Biomedical Engineering, 2024 - Elsevier
The recognition task of visual stimuli based on EEG (Electroencephalogram) has become a
major and important topic in the field of Brain–Computer Interfaces (BCI) research. Although …
major and important topic in the field of Brain–Computer Interfaces (BCI) research. Although …
FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification
Objective. Electroencephalogram (EEG) analysis has always been an important tool in
neural engineering, and the recognition and classification of human emotions are one of the …
neural engineering, and the recognition and classification of human emotions are one of the …