Professor Howard Bowman PhD

Professor Howard Bowman

School of Psychology
Professor of Cognitive Neuroscience

Contact details

School of Psychology
University of Birmingham
B15 2TT

Professor Bowman applies the methods of Cognitive Neuroscience, especially EEG and Neural Modelling, to understanding a spectrum of Cognitive phenomena, including conscious perception, temporal attention and subliminal search. Much of his work focuses on verifying the simultaneous Type/ Serial Token theory of temporal attention and working memory encoding, which he developed with Brad Wyble.

Professor Bowman is a member of the Centre for Computational Neuroscience and Cognitive Robotics (CNCR).


BSc. Hons (first class) Mathematics & Computing, Lancaster University
PhD. Computer Science, Lancaster University


Professor Bowman completed a PhD and Postdoc at Lancaster University and then took up a lectureship in Computer Science at the University of Kent at Canterbury. In this first phase of his career he developed mathematical theories of computation, particularly in concurrency theory. He was appointed to a chair at Kent in 2006. He now holds part-time positions at Kent and at Birmingham, with his work now exclusively focused on Cognitive Neuroscience.

Postgraduate supervision

Professor Bowman’s PhD students are all currently at the University of Kent in Canterbury (9 altogether). See his PhD students page for more detail. He is interested in also supervising PhD students at Birmingham; enquiries should be made to

View a list of possible PhD topics related to his interests part way down his Kent profile page. 


Research interests

The interaction between brain and mind in human conscious perception, temporal attention, working memory encoding and subliminal search; and the interpretation and analysis of EEG signals in this context.

View more details of Professor Bowman's research.

Other activities

  • Professor of Cognition and Logic, University of Kent at Canterbury (2006 to present)
  • Current Programme Committee Member of NeSy (International Workshop on Neural-Symbolic Learning and Reasoning)
  • Programme Committee Member of over 30 conferences during career.
  • Over 100 publications
  • Has held research funding from RCUK, EPSRC, European Commission, British Telecom, British Council, and the London Mathematical Society.


Recent publications


Champion, T, Grześ, M & Bowman, H 2022, 'Branching Time Active Inference with Bayesian Filtering', Neural Computation, vol. 34, no. 10, pp. 2132–2144.

Champion, T, Da Costa, L, Bowman, H & Grześ, M 2022, 'Branching time active inference: the theory and its generality', Neural Networks, vol. 151, pp. 295-316.

Champion, T, Bowman, H & Grześ, M 2022, 'Branching time active inference: empirical study and complexity class analysis', Neural Networks, vol. 152, pp. 450-466.

Chen, IY, Karabay, A, Mathȏt, S, Bowman, H & Akyürek, EG 2022, 'Concealed identity information detection with pupillometry in rapid serial visual presentation', Psychophysiology.

Bowman, H, Jones, W, Pincham, H, Fleming, S, Cleeremans, A & Smith, M 2022, 'Modelling the simultaneous encoding/serial experience theory of the perceptual moment: a blink of meta-experience', Neuroscience of Consciousness, vol. 2022, no. 1, niac003.

Hellerstedt, R, Moccia, A, Brunskill, CM, Bowman, H & Bergström, ZM 2021, 'Aging reduces EEG markers of recognition despite intact performance: implications for forensic memory detection', Cortex, vol. 140, pp. 80-97.

Alsufyani, A, Harris, K, Zoumpoulaki, A, Filetti, M & Bowman, H 2021, 'Breakthrough percepts of famous names', Cortex, vol. 139, pp. 267-281.

PLORAS team 2021, 'Damage to Broca's area does not contribute to long-term speech production outcome after stroke', Brain, vol. 144, no. 3, pp. 817-832.

Ihalainen, R, Gosseries, O, van de Steen, F, Raimondo, F, Panda, R, Bonhomme, V, Marinazzo, D, Bowman, H, Laureys, S & Chennu, S 2021, 'How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness', NeuroImage, vol. 231, 117841.

Bowman, H, Bonkhoff, A, Hope, TMH, Grefkes, C & Price, C 2021, 'Inflated estimates of proportional recovery from stroke: the dangers of mathematical coupling and compression to ceiling', Stroke, vol. 52, no. 5, pp. 1915-1920.

Champion, T, Grześ, M & Bowman, H 2021, 'Realizing active inference in variational message passing: the outcome-blind certainty seeker', Neural Computation, vol. 33, no. 10, pp. 2662-2626.

Bonkhoff, AK, Hope, T, Bzdok, D, Hawe, RL, Dukelow, SP, Chollet, F, Lin, DJ, Grefkes, C, Bowman, H & Guggisberg, A 2021, 'Recovery after stroke: the severely impaired are a distinct group', Journal of Neurology Neurosurgery and Psychiatry.

Parish, G, Michelmann, S, Hanslmayr, S & Bowman, H 2021, 'The Sync-Fire/deSync model: modelling the reactivation of dynamic memories from cortical alpha oscillations', Neuropsychologia, vol. 158, 107867.

Tempesta, AJ, Miller, CE, Litvak, V, Bowman, H & Schofield, AJ 2021, 'The missing N1 or jittered P2: electrophysiological correlates of pattern-glare in the time and frequency domain', European Journal of Neuroscience, vol. 54, no. 6, pp. 6168-6186.


Bowman, H & Avilés, A 2022, 'No Subliminal Memory for Spaced Repeated Images in Rapid-Serial-Visual-Presentation Streams', Psychological Science.

View all publications in research portal