4 citations · 8 across the 9 of their papers we have counts for
10 papers
Evolutionary foraging in grids: Intermittent search dynamics emerge in finite, depletable landscapes
Shailendra Bhandari, Alex Szorkovszky, Anis Yazidi +1
How search strategies evolve in finite, depletable landscapes remains a question in foraging theory. We study this problem with an evolutionary simulation in which agents forage on…
Diffusion models for eye-gaze trajectory generation using position and velocity representations
Laxman Basnet, Alexander Szorkovszky, Pedro G. Lind +2
Eye-tracking data are expensive to collect, requiring specialized hardware and controlled laboratory conditions, and difficult to share because of privacy constraints. We address t…
Explainability of Complex AI Models with Correlation Impact Ratio
Poushali Sengupta, Rabindra Khadka, Sabita Maharjan +5
Complex AI systems make better predictions but often lack transparency, limiting trustworthiness, interpretability, and safe deployment. Common post hoc AI explainers, such as LIME…
EEG-MSAF: An Interpretable Microstate Framework uncovers Default-Mode Decoherence in Early Neurodegeneration
Mohammad Mehedi Hasan, Pedro G. Lind, Hernando Ombao +2
Dementia (DEM) is a growing global health challenge, underscoring the need for early and accurate diagnosis. Electroencephalography (EEG) provides a non-invasive window into brain…
Saccade crossing avoidance as a visual search strategy
Alex Szorkovszky, Rujeena Mathema, Pedro Lencastre +2
Although visual search appears largely random, several oculomotor biases exist such that the likelihoods of saccade directions and lengths depend on the previous scan path. Compare…
From Video to EEG: Adapting Joint Embedding Predictive Architecture to Uncover Saptiotemporal Dynamics in Brain Signal Analysis
Amirabbas Hojjati, Lu Li, Ibrahim Hameed +3
EEG signals capture brain activity with high temporal and low spatial resolution, supporting applications such as neurological diagnosis, cognitive monitoring, and brain-computer i…
Examining Reject Relations in Stimulus Equivalence Simulations
Alexis Carrillo, Asieh Abolpour Mofrad, Anis Yazidi +1
Simulations offer a valuable tool for exploring stimulus equivalence (SE), yet the potential of reject relations to disrupt the assessment of equivalence class formation is content…
The dynamical law behind eye movements: distinguishing between Lévy and intermittent strategies
Pedro Lencastre, Yurii Bystryk, Anis Yazidi +2
Foraging is a complex spatio-temporal process which is often described with stochastic models. Two particular ones, Lévy walks (LWs) and intermittent search (IS), became popular in…
Modeling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity
Shailendra Bhandari, Pedro Lencastre, Rujeena Mathema +3
Accurate modeling of eye gaze dynamics is essential for advancement in human-computer interaction, neurological diagnostics, and cognitive research. Traditional generative models l…
DREAMS: A python framework for Training Deep Learning Models on EEG Data with Model Card Reporting for Medical Applications
Rabindra Khadka, Pedro G Lind, Anis Yazidi +1
Electroencephalography (EEG) provides a non-invasive way to observe brain activity in real time. Deep learning has enhanced EEG analysis, enabling meaningful pattern detection for…