Stephan Bickel

The paper identifies robust low-dimensional neural latent representations of implicit perceptual decision confidence using brain-wide iEEG data without explicit confidence reports.

The paper shows semantic novelty during visual fixations modulates neural activity in primate cortex, using EEG and intracranial recordings.

The paper investigates how transient high-frequency neural events contribute to sensory representation by analyzing their temporal, spectral, and phase properties across trials.

This study uses resting-state fMRI to predict seizure onset zones in drug-resistant epilepsy patients, achieving high accuracy in identifying epileptogenic regions non-invasively.

This study compares the hierarchical processing of speech in the human auditory cortex with a recurrent ASR model, finding parallel representations across acoustic, phonetic, lexical, and semantic stages.

This study uses EEG and ECoG to decode musical tension dynamics and their relationship with neural engagement during naturalistic music listening.

This study uses large language models to analyze how attention affects neural tracking of linguistic context in multi-talker speech environments.

This paper shows that speaker identity is encoded in spatial patterns of intracranial EEG during attention, enabling a new method for auditory attention decoding.

The paper shows that the auditory cortex uses joint population coding and temporal coherence to integrate voice and location features of attended talkers in multi-talker scenes.

This study uses electrophysiological recordings and generative music models to show that musicians have more structured and left-hemisphere biased neural encoding of music compared to non-musicians.

The paper applies a VARX model to intracranial recordings to separate intrinsic brain dynamics from external stimuli, finding that intrinsic dynamics enhance and prolong neural responses to sensory inputs.

The paper investigates neural activity during auditory conscious perception and finds similar cortical and subcortical network patterns to those observed in visual perception.

The paper shows that hippocampal and cortical high frequency oscillations (HFOs) increase at event boundaries and reoccur during recall, supporting a replay mechanism for memory consolidation.

This paper develops a brain-controlled assistive hearing system for multi-talker environments with moving conversations, improving speech intelligibility and tracking.

The paper shows that hippocampal sharp wave ripples and cortical ripples coordinate semantic network reactivation during human free recall.

The paper uses intracranial EEG to identify motor-independent evidence accumulation dynamics in multiple human brain regions during perceptual decision tasks.

The paper examines how semantic novelty modulates neural responses to visual changes like film cuts and saccades across the human brain using intracranial recordings.

The paper shows that saccades modulate excitability in auditory cortical areas during natural viewing, similar to visual areas, suggesting a role in improving information processing.

The paper describes an immersive paradigm for studying natural social behavior and its neural correlates in epilepsy patients using synchronized behavioral and neurophysiological data.

This study evaluates the neurophysiological effects of intracranial theta burst stimulation in the human sensorimotor cortex and finds increased beta band synchronization indicative of neuroplasticity.

This study uses intracranial EEG to analyze the functional organization of Heschl's gyrus during natural speech listening, revealing a gradient of acoustic and linguistic feature processing.

The paper quantifies and classifies multi-cycle oscillation events in primate auditory cortex, revealing non-constant frequency and amplitude characteristics across frequency bands.

This study surveys current practices in presurgical language fMRI for epilepsy, finding significant variability in protocols, tasks, analysis methods, and expertise involvement.

This study surveys global epilepsy surgical programs on their use of presurgical language fMRI and reports mixed outcomes in localizing language cortex and predicting post-surgical function.

iELVis localizes and visualizes intracranial electrodes using MRI and neuroimaging tools, providing accurate brain shift correction and interactive 3D/2D visualization with functional overlays.