Howard Bowman

Howard Bowman

University of Kent

H-index: 43

Europe-United Kingdom

About Howard Bowman

Howard Bowman, With an exceptional h-index of 43 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Kent, specializes in the field of Cognitive neuroscience, Neural network modeling, Neuroimaging, Applied neuroscience, Concurrency theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reframing the Expected Free Energy: Four Formulations and a Unification

Principal component analysis-based latent-space dimensionality under-estimation, with uncorrelated latent variables

Estimating the construct validity of Principal Components Analysis

Hippocampal neurons code individual episodic memories in humans

Predicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI

Is predictive coding falsifiable?

Concealed familiar face detection with oculomotor measures and EEG in rapid serial visual presentation

Deconstructing deep active inference

Howard Bowman Information

University

Position

School of Computing and School of Psychology University of Birmingham

Citations(all)

6274

Citations(since 2020)

2694

Cited By

4514

hIndex(all)

43

hIndex(since 2020)

23

i10Index(all)

112

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Howard Bowman Skills & Research Interests

Cognitive neuroscience

Neural network modeling

Neuroimaging

Applied neuroscience

Concurrency theory

Top articles of Howard Bowman

Reframing the Expected Free Energy: Four Formulations and a Unification

arXiv preprint arXiv:2402.14460

2024/2/22

Principal component analysis-based latent-space dimensionality under-estimation, with uncorrelated latent variables

Brain

2024/2

Estimating the construct validity of Principal Components Analysis

arXiv preprint arXiv:2401.12905

2024/1/23

Hippocampal neurons code individual episodic memories in humans

Nature human behaviour

2023/11

Predicting recovery following stroke: deep learning, multimodal data and feature selection using explainable AI

arXiv preprint arXiv:2310.19174

2023/10/29

Adam White
Adam White

H-Index: 11

Howard Bowman
Howard Bowman

H-Index: 22

Is predictive coding falsifiable?

2023/9/23

Concealed familiar face detection with oculomotor measures and EEG in rapid serial visual presentation

Journal of Vision

2023/8/1

Deconstructing deep active inference

arXiv preprint arXiv:2303.01618

2023/3/2

Concealed identity information detection with pupillometry in rapid serial visual presentation

Psychophysiology

2023/1

Aytaç Karabay
Aytaç Karabay

H-Index: 3

Howard Bowman
Howard Bowman

H-Index: 22

No Subliminal Memory for Spaced Repeated Images in Rapid-Serial-Visual-Presentation Streams

Psychological Science

2022/11

Howard Bowman
Howard Bowman

H-Index: 22

Alberto Avilés
Alberto Avilés

H-Index: 5

Branching Time Active Inference with Bayesian Filtering

Neural Computation

2022/9/12

Branching time active inference: Empirical study and complexity class analysis

Neural Networks

2022/8/1

Branching time active inference: the theory and its generality

Neural Networks

2022/7/1

Multi-Modal and Multi-Factor Branching Time Active Inference

arXiv preprint arXiv:2206.12503

2022/6/24

Recovery after stroke: the severely impaired are a distinct group

Journal of Neurology, Neurosurgery & Psychiatry

2022/4/1

Quantifying error in effect size estimates in attention, executive function and implicit learning

2022/1/31

Howard Bowman
Howard Bowman

H-Index: 22

Neural-symbolic learning and reasoning: A survey and interpretation

Neuro-Symbolic Artificial Intelligence: The State of the Art

2022/1/19

Sebastian Bader
Sebastian Bader

H-Index: 9

Howard Bowman
Howard Bowman

H-Index: 22

Modelling the simultaneous encoding/serial experience theory of the perceptual moment: a blink of meta-experience

Neuroscience of consciousness

2022/1/1

Inflated estimates of proportional recovery from stroke: the dangers of mathematical coupling and compression to ceiling

Stroke

2021/5

How hot is the hot zone? Computational modelling clarifies the role of parietal and frontoparietal connectivity during anaesthetic-induced loss of consciousness

NeuroImage

2021/5/1

See List of Professors in Howard Bowman University(University of Kent)