User profiles for Howard Bowman
 | Howard BowmanSchool of Psychology, University of Birmingham Verified email at bham.ac.uk Cited by 6424 |
[HTML][HTML] Oscillations and episodic memory: addressing the synchronization/desynchronization conundrum
Brain oscillations are one of the core mechanisms underlying episodic memory. However,
while some studies highlight the role of synchronized oscillatory activity, others highlight the …
while some studies highlight the role of synchronized oscillatory activity, others highlight the …
The simultaneous type, serial token model of temporal attention and working memory.
A detailed description of the simultaneous type, serial token (ST²) model is presented. ST² is
a model of temporal attention and working memory that encapsulates 5 principles:(a) MM …
a model of temporal attention and working memory that encapsulates 5 principles:(a) MM …
The attentional blink provides episodic distinctiveness: sparing at a cost.
… We reanalyzed a set of data originally presented in Bowman and Wyble (2007) with the aim
of testing the hypothesis that temporal migrations between individual elements of complex …
of testing the hypothesis that temporal migrations between individual elements of complex …
Neural-symbolic learning and reasoning: A survey and interpretation
The study and understanding of human behaviour is relevant to computer science, artificial
intelligence, neural computation, cognitive science, philosophy, psychology, and several …
intelligence, neural computation, cognitive science, philosophy, psychology, and several …
Biomembrane templates for nanoscale conduits and networks
E Evans, H Bowman, A Leung, D Needham, D Tirrell - Science, 1996 - science.org
Long nanotubes of fluid-lipid bilayers can be used to create templates for photochemical
polymerization into solid-phase conduits and networks. Each nanotube is pulled from a …
polymerization into solid-phase conduits and networks. Each nanotube is pulled from a …
[HTML][HTML] Deep temporal models and active inference
How do we navigate a deeply structured world? Why are you reading this sentence first –
and did you actually look at the fifth word? This review offers some answers by appealing to …
and did you actually look at the fifth word? This review offers some answers by appealing to …
I tried a bunch of things: The dangers of unexpected overfitting in classification of brain data
…, C Callahan-Flintoft, W Jones, H Bowman… - Neuroscience & …, 2020 - Elsevier
Abstract Machine learning has enhanced the abilities of neuroscientists to interpret information
collected through EEG, fMRI, and MEG data. With these powerful techniques comes the …
collected through EEG, fMRI, and MEG data. With these powerful techniques comes the …
[HTML][HTML] Deep temporal models and active inference
How do we navigate a deeply structured world? Why are you reading this sentence first –
and did you actually look at the fifth word? This review offers some answers by appealing to …
and did you actually look at the fifth word? This review offers some answers by appealing to …
Recovery after stroke: not so proportional after all?
The proportional recovery rule asserts that most stroke survivors recover a fixed proportion of
lost function. To the extent that this is true, recovery from stroke can be predicted accurately …
lost function. To the extent that this is true, recovery from stroke can be predicted accurately …
Damage to Broca's area does not contribute to long-term speech production outcome after stroke
…, S Geva, ML Seghier, DW Green, H Bowman… - Brain, 2021 - academic.oup.com
Broca’s area in the posterior half of the left inferior frontal gyrus has long been thought to be
critical for speech production. The current view is that long-term speech production outcome …
critical for speech production. The current view is that long-term speech production outcome …