World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
5051
World Ranking
8737
National Ranking
557

Overview

Howard Bowman is affiliated with the University of Birmingham in the United Kingdom and specializes primarily in the field of Neuroscience. Their research spans multiple subfields, prominently including Cognitive Neuroscience, Artificial Intelligence, Social Psychology, Epidemiology, and Rehabilitation.

Bowman's work covers various main topics such as:

  • Neural dynamics and brain function
  • Neural and Behavioral Psychology Studies
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Acute Ischemic Stroke Management
  • Neurobiology of Language and Bilingualism
  • Memory and Neural Mechanisms

A selection of recent papers authored by or involving Bowman includes:

  • "I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data", 2020, Neuroscience & Biobehavioral Reviews
  • "Damage to Broca's area does not contribute to long-term speech production outcome after stroke", 2020, Brain
  • "Bringing proportional recovery into proportion: Bayesian modelling of post-stroke motor impairment", 2020, Brain
  • "Hippocampal neurons code individual episodic memories in humans", 2023, Nature Human Behaviour
  • "Understanding visual attention with RAGNAROC: A reflexive attention gradient through neural AttRactOr competition.", 2020, Psychological Review

Frequent co-authors collaborating with Bowman include:

  • Théophile Champion
  • Marek Grześ
  • Thomas M.H. Hope
  • Cathy J. Price
  • Alberto Avilés

Bowman has published frequently in venues such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Neural Computation
  • Neuroscience & Biobehavioral Reviews

Best Publications

  • The simultaneous type, serial token model of temporal attention and working memory.

    Howard Bowman;Brad Wyble

  • Deep temporal models and active inference

    Karl J. Friston;Richard Rosch;Thomas Parr;Cathy Price

  • Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

    Tarek R. Besold;Artur d'Avila Garcez;Sebastian Bader;Howard Bowman

  • I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data

    Mahan Hosseini;Michael Powell;John Collins;Chloe Callahan-Flintoft

  • Attentional episodes in visual perception

    Brad Wyble;Mary C. Potter;Howard Bowman;Mark Nieuwenstein

  • Neural correlates of intrusion of emotion words in a modified Stroop task

    Johanna C. Van Hooff;Kristina Charlotte Dietz;Dinkar Sharma;Howard Bowman

  • Erratum: Deep temporal models and active inference (Neuroscience & Biobehavioral Reviews (2017) 77 (388–402) (S0149763416307096) (10.1016/j.neubiorev.2017.04.009))

    Karl J. Friston;Richard Rosch;Thomas Parr;Cathy Price

  • The Temporal Signature of Memories: Identification of a General Mechanism for Dynamic Memory Replay in Humans

    Sebastian Michelmann;Howard Bowman;Howard Bowman;Simon Hanslmayr

  • Dissociating local and global levels of perceptuo-motor control in masked priming

    Friederike Schlaghecken;Howard Bowman;Martin Eimer

  • Speed of time-compressed forward replay flexibly changes in human episodic memory

    Sebastian Michelmann;Bernhard P Staresina;Howard Bowman;Howard Bowman;Simon Hanslmayr

  • The attentional blink reveals serial working memory encoding: Evidence from virtual and human event-related potentials

    Patrick Craston;Brad Wyble;Srivas Chennu;Howard Bowman

  • Data-driven region-of-interest selection without inflating Type I error rate

    Joseph L. Brooks;Alexia Zoumpoulaki;Howard Bowman

  • A Decision Procedure and Complete Axiomatization of Finite Interval Temporal Logic with Projection

    Howard Bowman;Simon J. Thompson

  • A Formal Framework for Viewpoint Consistency

    H. Bowman;M. W. A. Steen;E. A. Boiten;J. Derrick

  • The impact of sample size on the reproducibility of voxel-based lesion-deficit mappings

    Diego L. Lorca-Puls;Diego L. Lorca-Puls;Andrea Gajardo-Vidal;Andrea Gajardo-Vidal;Jitrachote White;Mohamed L. Seghier;Mohamed L. Seghier

  • A neural network model of inhibitory processes in subliminal priming

    Howard Bowman;Friederike Schlaghecken;Martin Eimer

  • Viewpoint consistency in ODP

    Eerke Boiten;Howard Bowman;John Derrick;Peter Linington

  • Attention Increases the Temporal Precision of Conscious Perception: Verifying the Neural-ST2 Model

    Srivas Chennu;Patrick Craston;Bradley P. Wyble;Howard Bowman

  • EEG oscillations during word processing predict MCI conversion to Alzheimer's disease.

    Ali Mazaheri;Katrien Segaert;John M Olichney;Jin Chen Yang

  • Concurrency Theory: Calculi an Automata for Modelling Untimed and Timed Concurrent Systems

    Howard Bowman;Rodolfo Gomez

  • FDTs for ODP

    Howard Bowman;John Derrick;Peter Linington;Maarten Steen

  • Formal Specifications of Distributed Multimedia Systems

    Gordon Blair;Lynne Blair;Amanda Chetwynd;Howard Bowman

  • Analysis of a Multimedia Stream using Stochastic Process Algebra

    Howard Bowman;Jeremy W. Bryans;John Derrick

  • Cross-viewpoint consistency in open distributed processing

    Howard Bowman;John Derrick;Peter W. A. Linington;Maarten W. A. Steen

  • Strategic regulation of cognitive control by emotional salience: A neural network model

    Bradley Wyble;Dinkar Sharma;Howard Bowman

  • Efficient detection of Zeno runs in timed automata

    Rodolfo Gómez;Howard Bowman

  • I TRIED A BUNCH OF THINGS: THE DANGERS OF UNEXPECTED OVERFITTING IN CLASSIFICATION

    Michael Skocik;John Collins;Chloe Callahan-Flintoft;Howard Bowman

  • How to stop time stopping

    Howard Bowman;Rodolfo Gómez

  • Model checking stochastic automata

    Jeremy Bryans;Howard Bowman;John Derrick

  • The cost of space independence in P300-BCI spellers

    Srivas Chennu;Abdulmajeed Alsufyani;Abdulmajeed Alsufyani;Marco Filetti;Adrian M Owen

  • Rendering information processing models of cognition and affect compu- tationally explicit: distributed executive control and the deployment of attention

    Philip J. Barnard;Howard Bowman

  • Time and Action Lock Freedom Properties for Timed Automata

    Howard Bowman

  • Latency as a region contrast: Measuring ERP latency differences with Dynamic Time Warping.

    Alexia Zoumpoulaki;Abdulmajeed Alsufyani;Marco Filetti;Mick Brammer

  • Modelling Timeouts without Timelocks

    Howard Bowman

  • Process algebraic modelling of attentional capture and human electrophysiology in interactive systems

    Li Su;Howard Bowman;Philip Barnard;Brad Wyble

  • A Formal Description Technique Supporting Expression of Quality of Service and Media Synchronisation

    Howard Bowman;Lynne Blair;Gordon S. Blair;Amanda G. Chetwynd

Frequent Co-Authors

John Derrick
John Derrick University of Sheffield
Simon Hanslmayr
Simon Hanslmayr University of Glasgow
Gordon S. Blair
Gordon S. Blair Lancaster University
Karl J. Friston
Karl J. Friston University College London
Alexander P. Leff
Alexander P. Leff University College London
Martin Eimer
Martin Eimer Birkbeck, University of London
Cathy J. Price
Cathy J. Price University College London
Bernhard P. Staresina
Bernhard P. Staresina University of Birmingham
Vladimir Litvak
Vladimir Litvak University College London

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