Itzhak Fried

This paper develops a transformer model to decode specific memories from human neuronal activity before and after sleep, finding differential contributions from brain regions.

This study investigates hippocampal theta oscillations during real-world and imagined navigation, showing similar neural patterns and using a computational model to reconstruct imagined positions.

The paper identifies modality-specific and amodal language processing by single neurons using neural recordings from patients during sentence comprehension.

The paper introduces a visual paired association learning paradigm to study memory consolidation during sleep and finds that naps improve recognition memory stability but not cued recall.

The paper shows that MTL neurons phase-lock to hippocampal theta oscillations, indicating a role for theta synchronization in memory-related communication across brain regions.

The paper reports on temporally periodic neuronal firing in the human entorhinal cortex during continuous audiovisual experiences, showing invariance across different playback speeds.

This paper introduces a wearable closed-loop neuromodulation system for recording single-neuron and local field potential activity in freely-moving humans.

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 auditory processing during sleep using human epilepsy patients' recordings, finding robust neural responses despite reduced alpha-beta power, suggesting impaired top-down processing.

The paper investigates how neurons in the human brain represent time and space concurrently during navigation tasks, finding dissociable temporal and spatial codes.

This study shows that spatially tuned neurons in the human hippocampus and entorhinal cortex exhibit phase precession during spatial navigation, extending this phenomenon to humans and suggesting a broader role in representing spatial and non-spatial information.

The paper shows that single-cell activity in human STG during phoneme perception is organized by articulatory features, supporting auditory theories over motor theories.

This paper develops a wireless platform for intracranial EEG recording and deep brain stimulation integrated with wearable technologies in freely moving humans.

The paper shows that neurons in human memory regions phase-lock to hippocampal theta oscillations during memory-related activity.

This study investigates how anesthesia-induced loss of consciousness affects auditory processing by analyzing intracranial EEG and single-unit activity in patients, finding that higher-order auditory regions show more disruption than primary auditory cortex.

This study examines theta oscillations in the human medial temporal lobe during spatial navigation and memory, finding their prevalence correlates with memory performance and movement direction.

The paper identifies phase-locked neuronal firing in the human medial temporal lobe that encodes navigational goals during a navigation task.

This study identifies high-frequency theta oscillations (6-12Hz) in the human medial temporal lobe during real-world ambulation, supporting conserved mechanisms for spatial navigation.