Howard Bowman

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Attention is more than prediction precision.

Howard Bowman, Marco Filetti, Brad Wyble, 2013, The Behavioral and brain sciences.

The attentional blink reflects the time course of token binding, computational modeling and empirical data

Howard Bowman, Bradley Paul Wyble, 2010 .

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

Simon Hanslmayr, Sebastian Michelmann, Howard Bowman, 2018, Nature Human Behaviour.

TOWARDS A COMPETITIVE LEARNING MODEL OF MIRROR EFFECTS IN YES/NO RECOGNITION MEMORY TESTS

Howard Bowman, Kristina Charlotte Dietz, J. C. Van Hooff, 2009 .

Howard Bowman, Kristina Charlotte Dietz, Johanna C. van Hooff, 2010 .

MODELLING THE ATTENTIONAL BLINK

Howard Bowman, Bradley Paul Wyble, B. Wyble, 2005 .

Deep temporal models and active inference

Karl J. Friston, Thomas Parr, Richard Rosch, 2017, Neuroscience and biobehavioral reviews.

A new method for detecting deception in Event Related Potentials using individual-specific weight templates

Alexia Zoumpoulaki, Howard Bowman, Abdulmajeed Alsufyani, 2013, BMC Neuroscience.

Countering Cross-Individual Variance in Event Related Potentials with Functional Profiling

Alexia Zoumpoulaki, Howard Bowman, Dirk P. Janssen, 2018 .

Countering Countermeasures: Detecting Identity Lies by Detecting Conscious Breakthrough

Li Su, Dirk Janssen, Howard Bowman, 2014, PloS one.

Subliminal Salience Search Illustrated: EEG Identity and Deception Detection on the Fringe of Awareness

Li Su, Dirk Janssen, Howard Bowman, 2013, PloS one.

Resampling the peak — Applications in the analysis of event related potentials

Alexia Zoumpoulaki, Howard Bowman, Abdulmajeed Alsufyani, 2014 .

Basic concepts I (objects, classes and inheritance)

Gordon S. Blair, Rodger Lea, Howard Bowman, 1991 .

Branching Time Active Inference with Bayesian Filtering pdf

Howard Bowman, Th'eophile Champion, Marek Grze's, 2021, Neural Computation.

Realizing Active Inference in Variational Message Passing: The Outcome-Blind Certainty Seeker

Howard Bowman, Th'eophile Champion, Marek Grze's, 2021, Neural Computation.

Investigating the Cognitive Response of Brake Lights in Initiating Braking Action Using EEG

Ian McLoughlin, Surej Mouli, Ramaswamy Palaniappan, 2021, IEEE Transactions on Intelligent Transportation Systems.

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

Daniele Marinazzo, Olivia Gosseries, Frederik Van de Steen, 2021, NeuroImage.

Branching Time Active Inference: empirical study and complexity class analysis pdf

Howard Bowman, Th'eophile Champion, Marek Grze's, 2021, ArXiv.

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

Howard Bowman, Brad Wyble, Chloe Callahan-Flintoft, 2020, Neuroscience and Biobehavioral Reviews.

Attentional Capture by Meaning, a Multi-level Modeling Study

Philip J. Barnard, Howard Bowman, P. Barnard, 2007 .

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

Alexia Zoumpoulaki, Howard Bowman, Joseph L Brooks, 2017, Psychophysiology.

The cost of space independence in P300-BCI spellers

Howard Bowman, Srivas Chennu, Abdulmajeed Alsufyani, 2013, Journal of NeuroEngineering and Rehabilitation.

Attentional episodes in visual perception.

Brad Wyble, Howard Bowman, Mark Nieuwenstein, 2011, Journal of experimental psychology. General.

Using epsilon-greedy reinforcement learning methods to further understand ventromedial prefrontal patients' deficits on the Iowa Gambling Task.

Howard Bowman, Kiran Kalidindi, 2007, Neural networks : the official journal of the International Neural Network Society.

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

Katrien Segaert, Ali Mazaheri, Howard Bowman, 2017, NeuroImage: Clinical.

Recovery after stroke: not so proportional after all?

Karl J. Friston, Pia Rotshtein, Karl Friston, 2018, bioRxiv.

Placing meta-stable states of consciousness within the predictive coding hierarchy: The deceleration of the accelerated prediction error

Ram Adapa, Howard Bowman, S. A. Hojjatoleslami, 2018, Consciousness and Cognition.

A neural network model of inhibitory processes in subliminal priming

Martin Eimer, Howard Bowman, Friederike Schlaghecken, 2006 .

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

Dinkar Sharma, Howard Bowman, B. Wyble, 2008 .

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

Cathy J. Price, Philipp Ludersdorfer, Alexander P. Leff, 2018, Neuropsychologia.

Human Attention in Digital Environments: Salience sensitive control, temporal attention and stimulus-rich reactive interfaces

Brad Wyble, Howard Bowman, P. Barnard, 2009 .

Glancing and Then Looking: On the Role of Body, Affect, and Meaning in Cognitive Control

Philip Barnard, Howard Bowman, P. Barnard, 2011, Front. Psychology.

TRANSIENT ATTENTIONAL ENHANCEMENT DURING THE ATTENTIONAL BLINK: EEG CORRELATES OF THE ST 2 MODEL

Brad Wyble, Howard Bowman, Patrick Craston, 2008 .

How distributed processing produces false negatives in voxel-based lesion-deficit analyses

Cathy J. Price, Philipp Ludersdorfer, Howard Bowman, 2018, Neuropsychologia.

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

Dinkar Sharma, Howard Bowman, H. Bowman, 2008, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

The influence of target discriminability on the time course of attentional selection

Brad Wyble, Howard Bowman, Patrick Craston, 2010 .

Using-greedy reinforcement learning methods to further understand ventromedial prefrontal patients ’ deficits on the Iowa Gambling Task

Howard Bowman, Kiran Kalidindi, H. Bowman, 2007 .