Matias J. Ison

This study uses OPM-MEG to examine beta-band dynamics during a naturalistic motor task of playing a musical instrument, showing changes in beta amplitude before and after a violin lesson.

The paper investigates neural dynamics during hybrid search in naturalistic settings using MEG and eye tracking, identifying memory load modulations and target detection markers.

The paper introduces a deconvolution-based method to analyze overlapping neural signals from EEG and eye-tracking data during hybrid visual and memory search tasks, revealing dynamic interactions between attention and memory.

The paper investigates how alpha and beta oscillations relate to attentional orienting and perceptual decision-making, finding distinct roles for each rhythm in these processes.

This study investigates how reward influences neural oscillations and their impact on cognitive flexibility, finding that higher anticipated rewards lead to desynchronisation of alpha and beta oscillations, which correlate with improved task performance.

This paper introduces an enhanced neural network model for predicting eye movements in hybrid search tasks and presents a dataset of human eye movements in such tasks.

The paper investigates electrophysiological signatures in a free-viewing task using EEG and eye movements, identifying categorical and task-related effects in brain activity.

The paper decodes human identity from neuronal activity using computer vision and deep learning, finding that tens of neurons in brain regions beyond MTL can robustly represent concepts.

The paper investigates how spike-timing-dependent plasticity (STDP) enables the formation of associations between memory traces in spiking neuron networks, showing it can reproduce both fast overlap-based and new-assembly-based memory association patterns.