Howard Bowman

The paper shows that theta-phase timing of spikes encodes spatial and image information beyond firing rate in hippocampal neurons.

The paper introduces the 2f-ST2 model to explain temporal feature conjunctions and distractor intrusion errors in perception, showing it can simulate behavioral and electrophysiological results without parameter changes.

The paper demonstrates the effectiveness of the Fringe-P3 method in detecting the intrinsic salience of personally-familiar faces in an RSVP paradigm.

The paper examines ERP responses to pattern-glare stimuli in a healthy population, finding hyperexcitability in the visual cortex linked to migraine susceptibility and differing habituation/sensitization dynamics.

The paper demonstrates that the brain efficiently detects targets but does not form strong memory traces of distractors, supporting theories of late attentional selection and tokenized percept theory.

This study examines how the brain responds to continuous pattern-glare stimuli, finding significant habituation and sensitization effects related to visual discomfort.

The paper identifies hippocampal neurons that code for discrete episodic memories using rate or temporal firing codes, rather than individual elements within an episode.

The paper introduces a neural network model to simulate how cortical alpha oscillations regulate memory replay by disrupting rhythms to detect temporal sequences.

The paper shows that aging reduces EEG markers of recognition in forensic memory detection tasks, despite similar behavioral performance, suggesting limitations in using EEG for forensic assessments in older adults.

This paper uses computational modeling to show that changes in posterior hot zone and frontoparietal connectivity during propofol anaesthesia correlate with loss of consciousness.

The paper tests whether incentive value and spatial certainty combine additively or multiplicatively to influence visual selection, finding support for an additive combination.

The paper investigates hierarchical semantic expectations in language comprehension using EEG, finding early ERP effects reflecting local prediction errors and later signals related to global context and conscious access.

This paper introduces a model of reflexive attention that simulates neural attractor states and their role in visual processing, linking them to behavioral and neural correlates like accuracy and EEG components.

The paper investigates how sedation with propofol affects predictive coding circuits and the double surprise acceleration effect using EEG source localization in a local-global task.

The paper demonstrates how overfitting through hyperparameter tuning can lead to non-generalizable results in machine learning, despite cross-validation, and suggests safeguards to prevent this.

The paper investigates ERP correlates of top-down expectations and pop-out during degraded speech comprehension, finding early error signals and a P3a-like pop-out effect in attentive participants.

The paper shows that human episodic memory replay involves temporally compressed forward replay of sub-events, with flexible skipping across transitions.

The paper challenges the proportional recovery rule by showing that baseline score correlations can mislead about outcome predictability in stroke recovery.

The paper shows that associating a static cue with a dynamic stimulus creates a dynamic memory representation in working memory, linked to decreased low-frequency EEG power across visual and auditory domains.

This paper challenges bipolar referencing in intracranial EEG and proposes ICA as a more effective method for isolating local brain activity.

This paper introduces a spiking neural network model that explains how synchronized hippocampal theta and desynchronized neocortical alpha oscillations contribute to memory encoding and retrieval.