J. Haynes

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Predicting the orientation of invisible stimuli from activity in human primary visual cortex

G. Rees, J. Haynes, 2005, Nature Neuroscience.

Brain Reading: Decoding Mental States From Brain Activity In Humans

J. Haynes, 2011 .

Visibility Reflects Dynamic Changes of Effective Connectivity between V1 and Fusiform Cortex

J. Driver, G. Rees, J. Haynes, 2005, Neuron.

The Brightness of Colour

R. Lotto, G. Rees, J. Haynes, 2009, PloS one.

Decoding the Formation of Reward Predictions across Learning

Soyoung Q. Park, J. Haynes, J. Heinzle, 2011, The Journal of Neuroscience.

Dissociation between saliency signals and activity in early visual cortex.

Peter König, Carsten Bogler, John-Dylan Haynes, 2013, Journal of vision.

Decoding Successive Computational Stages of Saliency Processing

J. Haynes, C. Bogler, S. Bode, 2011, Current Biology.

Perceptual Learning and Decision-Making in Human Medial Frontal Cortex

J. Haynes, T. Kahnt, O. Speck, 2011, Neuron.

Neuroimaging: Decoding mental states from brain activity in humans

G. Rees, J. Haynes, 2006, Nature Reviews Neuroscience.

Reading Hidden Intentions in the Human Brain

R. Passingham, C. Frith, K. Sakai, 2007, Current Biology.

Delusions and the Role of Beliefs in Perceptual Inference

P. Petrovic, J. Haynes, P. Sterzer, 2013, The Journal of Neuroscience.

Dissociable neural imprints of perception and grammar in auditory functional imaging

J. Obleser, A. Friederici, J. Haynes, 2012, Human brain mapping.

The neural code of reward anticipation in human orbitofrontal cortex

Soyoung Q. Park, J. Haynes, J. Heinzle, 2010, Proceedings of the National Academy of Sciences.

Fmri activity patterns in human loc carry information about object exemplars within category

R. Dolan, J. Ashburner, G. Rees, 2008 .

A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives

J. Haynes, 2015, Neuron.

Predicting the Stream of Consciousness from Activity in Human Visual Cortex

G. Rees, J. Haynes, 2005, Current Biology.

Selective activation around the left occipito‐temporal sulcus for words relative to pictures: Individual variability or false positives?

S. Rombouts, A. Mechelli, C. Price, 2007, Human brain mapping.

Multi-scale classification of disease using structural MRI and wavelet transform

John-Dylan Haynes, Martin Weygandt, Carsten Allefeld, 2012, NeuroImage.

MRI Pattern Recognition in Multiple Sclerosis Normal-Appearing Brain Areas

J. Haynes, F. Paul, F. Zipp, 2011, PloS one.

Can we overcome the ‘clinico-radiological paradox’ in multiple sclerosis?

J. Haynes, C. Pfueller, F. Paul, 2012, Journal of Neurology.

Scale-specific analysis of fMRI data on the irregular cortical surface

Yi Chen, Radoslaw Martin Cichy, John-Dylan Haynes, 2017, NeuroImage.

Responses of human visual cortex to uniform surfaces

R. Lotto, G. Rees, J. Haynes, 2004, Proceedings of the National Academy of Sciences of the United States of America.

Fine-scale activity patterns in high-level visual areas encode the category of invisible objects.

G. Rees, J. Haynes, P. Sterzer, 2008, Journal of vision.

Encoding of Prospective Tasks in the Human Prefrontal Cortex under Varying Task Loads

I. Momennejad, J. Haynes, 2013, The Journal of Neuroscience.

Concurrent TMS-fMRI and Psychophysics Reveal Frontal Influences on Human Retinotopic Visual Cortex

R. Deichmann, J. Driver, G. Rees, 2006, Current Biology.

Medial Prefrontal Cortex Predicts Internally Driven Strategy Shifts

Nicolas W. Schuck, J. Haynes, P. Frensch, 2015, Neuron.

FMRI decoding of intentions: Compositionality, hierarchy and prospective memory

I. Momennejad, J. Haynes, C. Reverberi, 2015, The 3rd International Winter Conference on Brain-Computer Interface.

Auditory perception and syntactic cognition: brain activity‐based decoding within and across subjects

A. Friederici, J. Haynes, B. Maess, 2012, The European journal of neuroscience.

Multimodal prediction of conversion to Alzheimer's disease based on incomplete biomarkers∗

R. Buchert, C. Allefeld, J. Haynes, 2015, Alzheimer's & dementia.

The Distributed Nature of Working Memory

P. Roelfsema, J. Haynes, B. Spitzer, 2017, Trends in Cognitive Sciences.

Eye-specific effects of binocular rivalry in the human lateral geniculate nucleus

R. Deichmann, G. Rees, J. Haynes, 2005, Nature.

On the Neuronal Systems Underlying Perceptual Decision-Making

J. Haynes, P. Sterzer, T. Donner, 2014 .

Default Network Activity Is Associated with Better Performance in a Vigilance Task

J. Haynes, C. Bogler, Alexander Vowinkel, 2017, Front. Hum. Neurosci..

Inquiring Organizations: Moving From Knowledge Management To Wisdom

J. Haynes, D. Paradice, J. Courtney, 2005 .

Imagery and perception share cortical representations of content and location.

Radoslaw Martin Cichy, J. Haynes, J. Heinzle, 2012, Cerebral Cortex.

Probing principles of large‐scale object representation: Category preference and location encoding

Radoslaw Martin Cichy, J. Haynes, L. Elliott, 2013, Human brain mapping.

Am I seeing myself, my friend or a stranger? The role of personal familiarity in visual distinction of body identities in the human brain

J. Haynes, S. Schütz-Bosbach, C. Bogler, 2016, Cortex.

Saccades Differentially Modulate Human LGN and V1 Responses in the Presence and Absence of Visual Stimulation

G. Rees, J. Haynes, R. Sylvester, 2005, Current Biology.

Brain tissue properties differentiate between motor and limbic basal ganglia circuits

J. Dukart, Ferath Kherif, Bogdan Draganski, 2014, Human brain mapping.

Valid population inference for information-based imaging: Information prevalence inference

C. Allefeld, J. Haynes, Kai Görgen, 2015 .

Cortical specialization for attended versus unattended working memory

C. Allefeld, J. Haynes, T. Christophel, 2018, Nature Neuroscience.

The Role of the Parietal Cortex in the Representation of Task–Reward Associations

I. Momennejad, J. Haynes, T. Kahnt, 2015, The Journal of Neuroscience.

Orbitofrontal Signaling of Future Reward is Associated with Hyperactivity in Attention-Deficit/Hyperactivity Disorder

J. Haynes, T. Kahnt, M. Kanowski, 2018, The Journal of Neuroscience.

Connectivity-Based Parcellation of the Human Orbitofrontal Cortex

Luke J. Chang, Soyoung Q. Park, J. Haynes, 2012, The Journal of Neuroscience.

Unconscious determinants of free decisions in the human brain

M. Brass, J. Haynes, H. Heinze, 2008, Nature Neuroscience.

Tracking the Unconscious Generation of Free Decisions Using UItra-High Field fMRI

R. Turner, J. Haynes, S. Bode, 2011, PloS one.

Predicting free choices for abstract intentions

J. Haynes, S. Bode, C. Soon, 2013, Proceedings of the National Academy of Sciences.

Neural Responses to Unattended Products Predict Later Consumer Choices

J. Haynes, S. Bode, A. Tusche, 2010, The Journal of Neuroscience.

An Information-Based Approach to Consciousness: Mental State Decoding

J. Haynes, 2015 .

Disentangling neural representations of value and salience in the human brain

John-Dylan Haynes, Thorsten Kahnt, Soyoung Q. Park, 2014, Proceedings of the National Academy of Sciences.

The Neural Representation of Voluntary Task-Set Selection in Dynamic Environments.

John-Dylan Haynes, Carlo Reverberi, David Wisniewski, 2015, Cerebral cortex.

Switch independent task representations in frontal and parietal cortex

Lasse S Loose, J. Haynes, T. Goschke, 2017, bioRxiv.

Distributed Representations of Rule Identity and Rule Order in Human Frontal Cortex and Striatum

John-Dylan Haynes, Carlo Reverberi, Kai Görgen, 2012, The Journal of Neuroscience.

Compositionality of rule representations in human prefrontal cortex.

John-Dylan Haynes, Carlo Reverberi, Kai Görgen, 2012, Cerebral cortex.

Decoding Vigilance with NIRS

Jens Steinbrink, Carsten Bogler, John-Dylan Haynes, 2014, PloS one.

Detecting concealed information using brain-imaging technology

John-Dylan Haynes, Mart Bles, J. Haynes, 2008, Neurocase.

Detecting deception from neuroimaging signals – a data-driven perspective

John-Dylan Haynes, J. Haynes, 2008, Trends in Cognitive Sciences.

Multivariate decoding of fMRI data

Radoslaw Martin Cichy, Y. Chen, M. Weygandt, 2012, e-Neuroforum.

Predicting Subjective Affective Salience from Cortical Responses to Invisible Object Stimuli.

J. Haynes, P. Sterzer, K. Schmack, 2016, Cerebral cortex.

Attentional integration between anatomically distinct stimulus representations in early visual cortex.

Geraint Rees, Jason Tregellas, John-Dylan Haynes, 2005, Proceedings of the National Academy of Sciences of the United States of America.

Decoding the Contents of Visual Short-Term Memory from Human Visual and Parietal Cortex

John-Dylan Haynes, Martin N Hebart, Thomas B Christophel, 2012, The Journal of Neuroscience.

Brains in dialogue: decoding neural preparation of speaking to a conversational partner

Anna K. Kuhlen, S. Brennan, J. Haynes, 2017, Social cognitive and affective neuroscience.

Subliminal and supraliminal processing of reward-related stimuli in anorexia nervosa

Joseph A. King, J. Haynes, S. Ehrlich, 2017, Psychological Medicine.

The Relationship between Perceptual Decision Variables and Confidence in the Human Brain.

John-Dylan Haynes, Martin N Hebart, Tobias H Donner, 2016, Cerebral cortex.

The Decoding Toolbox (TDT): a new fMRI analysis package for SPM and MATLAB

Martin N. Hebart, John-Dylan Haynes, Kai Görgen, 2012 .

Evidence for multistability in the visual perception of pigeons

G. Vetter, J. Haynes, G. Vetter, 2000, Vision Research.

Suppress Me if You Can: Neurofeedback of the Readiness Potential

J. Soch, J. Haynes, B. Blankertz, 2020, eNeuro.

Neuromagnetic correlates of perceived contrast in primary visual cortex.

J. Haynes, H. Heinze, M. Stadler, 2003, Journal of neurophysiology.

Can Synchronization Explain Representational Content

J. Haynes, 2015 .

Can Synchronization Explain Representational Content ? A Reply to

Caspar M. Schwiedrzik, J. Haynes, C. Schwiedrzik, 2015 .

Interactions between neural decision-making circuits predict long-term dietary treatment success in obesity

J. Haynes, M. Weygandt, J. Spranger, 2019, NeuroImage.

Pseudo-hyperscanning shows common neural activity during face-to-face communication of affect to be associated with shared affective feelings but not with mere emotion recognition

J. Haynes, T. Ethofer, S. Anders, 2020, Cortex.

Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectr

Stephen D. Mayhew, C M Michel, S Gonzalez Andino, 2013, Clinical EEG and Neuroscience.

Preparation and execution of voluntary action both contribute to awareness of intention

P. Haggard, J. Haynes, Karla Matić, 2020, Proceedings of the Royal Society B.

Prospective and retrospective contributions to intention awareness in voluntary action

P. Haggard, J. Haynes, Karla Matić, 2019, bioRxiv.

What ’ s up with Prefrontal Cortex ? A Commentary on

Caspar M. Schwiedrzik, J. Haynes, C. Schwiedrzik, 2015 .

Coordination in Brain Systems

M. Corbetta, C. Malsburg, W. Singer, 2010 .

Scale-specific analysis of fMRI data on the irregular cortical surface

Radoslaw Martin Cichy, John-Dylan Haynes, Wilhelm Stannat, 2017, bioRxiv.

Blunted neural and psychological stress processing predicts future grey matter atrophy in multiple sclerosis

A. Engel, J. Haynes, S. Gold, 2020, Neurobiology of Stress.

Interaction of circulating GLP-1 and the response of the dorsolateral prefrontal cortex to food-cues predicts body weight development

J. Haynes, M. Weygandt, H. Krude, 2019, Molecular metabolism.

The context-dependent nature of the neural implementation of intentions

I. Toni, J. Haynes, S. Uithol, 2018, bioRxiv.

MoonBase: Generating a database of two-tone Mooney images

Christof Koch, John-Dylan Haynes, Fatma Imamoglu, 2013 .

Novelty-Related fMRI Responses of Precuneus and Medial Temporal Regions in Individuals at Risk for Alzheimer Disease

Jasmin M. Kizilirmak, F. Jessen, J. Haynes, 2022, Neurology.

Abnormal Regional and Global Connectivity Measures in Subjective Cognitive Decline Depending on Cerebral Amyloid Status.

R. Buchert, F. Jessen, J. Haynes, 2020, Journal of Alzheimer's disease : JAD.

Amyloid pathology but not APOE ε4 status is permissive for tau-related hippocampal dysfunction

M. Reuter, F. Jessen, J. Haynes, 2022, Brain : a journal of neurology.

Surgical face masks do not impair the decoding of facial expressions of negative affect more severely in older than in younger adults

J. Haynes, S. Anders, D. Pischedda, 2022, Cognitive research: principles and implications.

Exploring the Illusion of Free Will and Moral Responsibility

Michael Pauen, Mark Hallett, Neil Levy, 2013 .

Decoding cortico-cortical receptive fields: Background signal fluctuations in the visual system are retinotopically coordinated between different visual areas

Jakob Heinzle, John-Dylan Haynes, Thorsten Kahnt, 2011 .

Translation tolerant and category-selective encoding of orientation in the fusiform face area

Radoslaw Martin Cichy, John-Dylan Haynes, Carsten Allefeld, 2012 .

Philosophical Foundations of Information Systems: Past, Present, and Future Directions (Panel)

Deborah Bunker, Kalle Lyytinen, John Haynes, 2003, Americas Conference on Information Systems.

Musical agency reduces perceived exertion during strenuous physical performance

Marc Leman, Arno Villringer, John-Dylan Haynes, 2013, Proceedings of the National Academy of Sciences.

Musical Activity During Life Is Associated With Multi-Domain Cognitive and Brain Benefits in Older Adults

F. Jessen, J. Haynes, K. Scheffler, 2022, Frontiers in Psychology.

Phase transitions in learning

J. Haynes, G. Vetter, M. Stadler, 1997 .

Strategic complexity and cognitive skills affect brain response in interactive decision-making

A. Rustichini, J. Haynes, C. Reverberi, 2022, Scientific Reports.

Psychophysics and computational modeling of feature-continuous motion perception

Felix M. Töpfer, J. Soch, J. Haynes, 2022, Journal of vision.

Lifelong experiences as a proxy of cognitive reserve moderate the association between connectivity and cognition in Alzheimer's disease

F. Jessen, T. Schneider-Axmann, J. Haynes, 2022, Neurobiology of Aging.

Linking early-life bilingualism and cognitive advantage in older adulthood

F. Jessen, J. Haynes, K. Scheffler, 2022, Neurobiology of Aging.

The Management of Intuition

John Haynes, J. Haynes, 2003, Australas. J. Inf. Syst..

Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation

Michael Scheel, Martin Weygandt, Kerstin Ritter, 2019, NeuroImage: Clinical.

Odor quality coding and categorization in human posterior piriform cortex

John-Dylan Haynes, Jane Plailly, Marcus Grueschow, 2009, Nature Neuroscience.

Extracting the dynamics of perceptual switching from ‘noisy’ behaviour: An application of hidden Markov modelling to pecking data from pigeons

J. R. Otterpohl, K Pawelzik, J. R Otterpohl, 2000, Journal of Physiology-Paris.

Diagnostic Classification of Schizophrenia Patients on the Basis of Regional Reward-Related fMRI Signal Patterns

John-Dylan Haynes, Andreas Heinz, Philipp Sterzer, 2015, PloS one.

Measuring the mental

J. Haynes, M. Pauen, 2021, Consciousness and Cognition.

Content-specific coordination of listeners' to speakers' EEG during communication

John-Dylan Haynes, Carsten Allefeld, Anna K. Kuhlen, 2012, Front. Hum. Neurosci..

View-Independent Working Memory Representations of Artificial Shapes in Prefrontal and Posterior Regions of the Human Brain

Christian Endisch, John-Dylan Haynes, Carsten Allefeld, 2018, Cerebral cortex.

Decoding complex flow-field patterns in visual working memory

John-Dylan Haynes, Thomas B. Christophel, J. Haynes, 2014, NeuroImage.

Beyond Libet: Long-Term Prediction of Free Choices from Neuroimaging Signals

J. Haynes, 2011 .

Beyond topographic representation: Decoding visuospatial attention from local activity patterns in the human frontal cortex

Jakob Heinzle, Yi Chen, John-Dylan Haynes, 2011, Int. J. Imaging Syst. Technol..

Sound alters activity in human V1 in association with illusory visual perception

Geraint Rees, John-Dylan Haynes, S. Tanaka, 2006, NeuroImage.

Decoding sequential stages of task preparation in the human brain

Stefan Bode, John-Dylan Haynes, J. Haynes, 2009, NeuroImage.

Non-holistic coding of objects in lateral occipital complex with and without attention

Radoslaw Martin Cichy, Philipp Sterzer, Alan Richardson-Klavehn, 2015, NeuroImage.

Diagnosing different binge‐eating disorders based on reward‐related brain activation patterns

John-Dylan Haynes, Martin Weygandt, Anne Schienle, 2012, Human brain mapping.

COVID-19: a simple statistical model for predicting intensive care unit load in exponential phases of the disease

J. Haynes, M. Ritter, Friedemann Paul, 2021, Scientific Reports.

Covid-19 -- A simple statistical model for predicting ICU load in exponential phases of the disease

J. Haynes, M. Ritter, K. Ritter, 2020, 2004.03384.

Neural Representations of Hierarchical Rule Sets: The Human Control System Represents Rules Irrespective of the Hierarchical Level to Which They Belong

John-Dylan Haynes, Carlo Reverberi, Kai Görgen, 2017, The Journal of Neuroscience.

Topography of responses to colour and luminance in human subcortical visual pathways as revealed by high-resolution fMRI at 7T

Hans-Jochen Heinze, Oliver Speck, John-Dylan Haynes, 2010 .

Valid population inference for information-based imaging: From the second-level t-test to prevalence inference

John-Dylan Haynes, Carsten Allefeld, Kai Görgen, 2015, NeuroImage.

Neuro-cognitive mechanisms of conscious and unconscious visual perception: From a plethora of phenomena to general principles

Ulrich Ansorge, John-Dylan Haynes, Rolf Verleger, 2011, Advances in cognitive psychology.

No evidence for mnemonic modulation of interocularly suppressed visual input

C. Paffen, J. Haynes, P. Sterzer, 2020, NeuroImage.

On the interpretation of weight vectors of linear models in multivariate neuroimaging

Stefan Haufe, Benjamin Blankertz, Felix Bießmann, 2014, NeuroImage.

CHURCHMAN, HEIDEGGER, AND PHENOMENOLOGY:A BASIS FOR A HEIDEGGERIAN INQUIRING SYSTEM

J. Haynes, John Haynes, 2002 .

Inquiring Organizations and Tacit Knowledge

J. Haynes, 2000 .

Practical and Tacit Knowing as a Foundation of Information Systems

John Haynes, J. Haynes, 1999, Australas. J. Inf. Syst..

Stress-induced brain activity, brain atrophy, and clinical disability in multiple sclerosis

J. Haynes, S. Gold, F. Paul, 2016, Proceedings of the National Academy of Sciences.

Topographically specific functional connectivity between visual field maps in the human brain

Jakob Heinzle, John-Dylan Haynes, Thorsten Kahnt, 2011, NeuroImage.

fMRI Activity Patterns in Human LOC Carry Information about Object Exemplars within Category

Raymond J. Dolan, Geraint Rees, John Ashburner, 2008, Journal of Cognitive Neuroscience.

Decoding visual consciousness from human brain signals

John-Dylan Haynes, J. Haynes, 2009, Trends in Cognitive Sciences.

Central stress processing, T-cell responsivity to stress hormones and disease severity in multiple sclerosis

J. Haynes, M. Weygandt, J. Bellmann-Strobl, 2022, Brain communications.

Neural Processes of Psychological Stress and Relaxation Predict the Future Evolution of Quality of Life in Multiple Sclerosis

J. Haynes, S. Gold, F. Paul, 2021, Frontiers in Neurology.

Flow of affective information between communicating brains

Jakob Heinzle, Nikolaus Weiskopf, John-Dylan Haynes, 2011, NeuroImage.

A critique of the possibility of genetic inheritance of homosexual orientation.

J. Haynes, 1995, Journal of homosexuality.

A neural link between affective understanding and interpersonal attraction

J. Haynes, T. Ethofer, S. Anders, 2016, Proceedings of the National Academy of Sciences.

Multivariate information-theoretic measures reveal directed information structure and task relevant changes in fMRI connectivity

Jakob Heinzle, Mikhail Prokopenko, Joseph T. Lizier, 2010, Journal of Computational Neuroscience.

Soluble TAM receptors sAXL and sTyro3 predict structural and functional protection in Alzheimer’s disease

M. Munk, F. Jessen, J. Haynes, 2021, Neuron.

fMRI pattern recognition in obsessive–compulsive disorder

John-Dylan Haynes, Dieter Vaitl, Rudolf Stark, 2012, NeuroImage.

A residual marker of cognitive reserve is associated with resting-state intrinsic functional connectivity along the Alzheimer's disease continuum

F. Jessen, J. Haynes, K. Scheffler, 2022, medRxiv.

Sensory-Tactile Functional Mapping and Use-Associated Structural Variation of the Human Female Genital Representation Field

M. Brecht, J. Haynes, C. Bogler, 2021, The Journal of Neuroscience.

Hippocampal and Hippocampal-Subfield Volumes From Early-Onset Major Depression and Bipolar Disorder to Cognitive Decline

M. Munk, F. Jessen, J. Haynes, 2021, Frontiers in Aging Neuroscience.

Resting-State Network Alterations Differ between Alzheimer's Disease Atrophy Subtypes.

M. Munk, F. Jessen, J. Haynes, 2021, Cerebral cortex.

Similar coding of freely chosen and externally cued intentions in a fronto-parietal network

John-Dylan Haynes, David Wisniewski, Thomas Goschke, 2016, NeuroImage.

Exploring the ATN classification system using brain morphology

F. Jessen, J. Haynes, K. Scheffler, 2021, Alzheimer's Research & Therapy.

Activity in high-level brain regions reflects visibility of low-level stimuli

Jakob Heinzle, John-Dylan Haynes, Adrian Imfeld, 2014, NeuroImage.

Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease pdf

John-Dylan Haynes, Johannes Rieke, Martin Weygandt, 2018, MLCN/DLF/iMIMIC@MICCAI.

Neocortical substrates of feelings evoked with music in the ACC, insula, and somatosensory cortex

J. Haynes, S. Koelsch, V. Cheung, 2021, Scientific Reports.

Robots facilitate human language production

Olga A. Wudarczyk, Anna K. Kuhlen, V. Hafner, 2021, Scientific Reports.

Social gating of sensory information during ongoing communication

John-Dylan Haynes, Andreas Sprenger, Thomas Ethofer, 2015, NeuroImage.

The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data

Martin N. Hebart, John-Dylan Haynes, Kai Görgen, 2015, Front. Neuroinform..

Encoding the identity and location of objects in human LOC

Yi Chen, Radoslaw Martin Cichy, John-Dylan Haynes, 2011, NeuroImage.

Working memory signals in early visual cortex do not depend on visual imagery

J. Soch, J. Haynes, T. Christophel, 2023, bioRxiv.

Correlating consciousness: A view from empirical science

Axel Cleeremans, John-Dylan Haynes, Axel Cleeremans, 1999 .

Impulse control in the dorsolateral prefrontal cortex counteracts post-diet weight regain in obesity

Martin Weygandt, Knut Mai, Esther Dommes, 2015, NeuroImage.

The role of neural impulse control mechanisms for dietary success in obesity

Thorsten Kahnt, Martin Weygandt, Knut Mai, 2013, NeuroImage.

Decoding different roles for vmPFC and dlPFC in multi-attribute decision making

Jakob Heinzle, John-Dylan Haynes, Thorsten Kahnt, 2011, NeuroImage.

Serum IL-6, sAXL, and YKL-40 as systemic correlates of reduced brain structure and function in Alzheimer’s disease: results from the DELCODE study

J. Haynes, K. Scheffler, P. Dechent, 2023, Alzheimer's Research & Therapy.

Combined orientation and colour information in human V1 for both L–M and S-cone chromatic axes

Geraint Rees, John-Dylan Haynes, Petroc Sumner, 2008, NeuroImage.

Instruction effects on randomness in sequence generation

C. Allefeld, J. Haynes, C. Bogler, 2023, Frontiers in Psychology.

Combination of Structural MRI and FDG-PET of the Brain Improves Diagnostic Accuracy in Newly Manifested Cognitive Impairment in Geriatric Inpatients.

Vikas Prasad, John-Dylan Haynes, Ivayla Apostolova, 2016, Journal of Alzheimer's disease : JAD.

The neural basis of free language choice in bilingual speakers: Disentangling language choice and language execution

R. Stefan Greulich, Jubin Abutalebi, John-Dylan Haynes, 2018, NeuroImage.

Mediterranean Diet, Alzheimer Disease Biomarkers, and Brain Atrophy in Old Age

M. Munk, F. Jessen, J. Haynes, 2021, Neurology.

Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer’s disease

M. Munk, F. Jessen, J. Haynes, 2020, Alzheimer's research & therapy.

Predicting vocal emotion expressions from the human brain

Jörg Bahlmann, Angela D Friederici, Christian Kalberlah, 2013, Human brain mapping.

Encoding of sequence boundaries in the subthalamic nucleus of patients with Parkinson's disease.

J. Haynes, A. Kühn, C. Brücke, 2014, Brain : a journal of neurology.

Decoding and predicting intentions

John-Dylan Haynes, J. Haynes, 2011, Annals of the New York Academy of Sciences.

Free will beliefs are better predicted by dualism than determinism beliefs across different cultures

J. Haynes, David Wisniewski, R. Deutschländer, 2019, PloS one.

A Philosophical Foundations of Information Systems (PFIS): Past, Present and Future Directions

Deborah Bunker, James F. Courtney, John D. Haynes, 2004, AMCIS.

Neural mechanisms of perceptual decision-making and their link to neuropsychiatric symptoms in multiple sclerosis.

J. Haynes, S. Gold, F. Paul, 2019, Multiple sclerosis and related disorders.

Theoretical principles for knowledge management system design: Application to pediatric bipolar disorder

James F. Courtney, Sandra M. Richardson, John D. Haynes, 2006, Decis. Support Syst..

Philosophical Foundations of Information Systems: A Review of the First 10 Years

Deborah Bunker, James F. Courtney, Sandra M. Richardson, 2005, AMCIS.

Churchman's Hegelian Inquiring System and Perspectival Thinking

John D. Haynes, J. Haynes, 2001, Inf. Syst. Frontiers.

Multicenter Tract-Based Analysis of Microstructural Lesions within the Alzheimer’s Disease Spectrum: Association with Amyloid Pathology and Diagnostic Usefulness

F. Jessen, J. Haynes, K. Scheffler, 2019, Journal of Alzheimer's disease : JAD.

Information Technology and Aesthetics: Passive and Active Dimensions

David B. Paradice, John D. Haynes, J. Haynes, 2007, Australas. J. Inf. Syst..

Performance reserves in brain-imaging-based phenotype prediction

J. Haynes, S. Haufe, D. Bzdok, 2022, bioRxiv.

Blinking Suppresses the Neural Response to Unchanging Retinal Stimulation

Geraint Rees, John-Dylan Haynes, Davina Bristow, 2005, Current Biology.

A Hippocampal Signature of Perceptual Learning in Object Recognition

Klaus Obermayer, John-Dylan Haynes, Philipp Sterzer, 2015, Journal of Cognitive Neuroscience.

Visual Working Memory Enhances the Neural Response to Matching Visual Input

John-Dylan Haynes, Philipp Sterzer, Stefan Van der Stigchel, 2017, The Journal of Neuroscience.

Spatial attention enhances object coding in local and distributed representations of the lateral occipital complex

Radoslaw Martin Cichy, Philipp Sterzer, Alan Richardson-Klavehn, 2015, NeuroImage.

The Neural Code for Face Orientation in the Human Fusiform Face Area

Radoslaw Martin Cichy, Radoslaw M Cichy, Carsten Allefeld, 2014, The Journal of Neuroscience.

Neural coding of assessing another person's knowledge based on nonverbal cues.

Marc Swerts, Carsten Bogler, John-Dylan Haynes, 2015, Social cognitive and affective neuroscience.

Emotion modulates the effects of endogenous attention on retinotopic visual processing

Geraint Rees, Philipp Sterzer, Christian Kaul, 2011, NeuroImage.

Human anterior prefrontal cortex encodes the ‘what’ and ‘when’ of future intentions

John-Dylan Haynes, Ida Momennejad, I. Momennejad, 2012, NeuroImage.

Responsibility Without Freedom? Folk Judgements About Deliberate Actions

J. Haynes, Tillmann Vierkant, Walter Sinnott-Armstrong, 2019, Front. Psychol..

Freedom from what? Separating lay concepts of freedom

J. Haynes, Paul Rehren, Walter Sinnott-Armstrong, 2022, Consciousness and Cognition.

Immediate impact of child maltreatment on mental, developmental, and physical health trajectories.

J. Haynes, S. Entringer, C. Buss, 2022, Journal of child psychology and psychiatry, and allied disciplines.

Predicting the stream of human consciousness

Geraint Rees, John-Dylan Haynes, G. Rees, 2005 .

Switch-Independent Task Representations in Frontal and Parietal Cortex

David Wisniewski, John-Dylan Haynes, Thomas Goschke, 2017, The Journal of Neuroscience.

Searchlight-based multi-voxel pattern analysis of fMRI by cross-validated MANOVA

John-Dylan Haynes, Carsten Allefeld, C. Allefeld, 2014, NeuroImage.

The Neural Basis of Perceptual Awareness

J. Haynes, 2009 .

Lifelong musical activity is associated with multi-domain cognitive and brain benefits in older adults

M. Munk, F. Jessen, J. Haynes, 2021, bioRxiv.

Probing folk-psychology: Do Libet-style experiments reflect folk intuitions about free action?

J. Haynes, M. Pauen, R. Deutschländer, 2017, Consciousness and Cognition.

Multi-voxel Pattern Analysis

John-Dylan Haynes, Carsten Allefeld, C. Allefeld, 2015 .

Neural correlates of perceptual filling-in of an artificial scotoma in humans

R S Weil, J M Kilner, J D Haynes, 2007, Proceedings of the National Academy of Sciences.

Dynamics of Perceptual Representation

Michael Stadler, John-D. Haynes, J. Haynes, 2001 .

Primary visual cortex activation on the path of apparent motion is mediated by feedback from hMT+/V5

Geraint Rees, John-Dylan Haynes, Philipp Sterzer, 2006, NeuroImage.

Changes in functional connectivity support conscious object recognition

Christof Koch, John-Dylan Haynes, Thorsten Kahnt, 2012, NeuroImage.

Performance evaluation of automated white matter hyperintensity segmentation algorithms in a multicenter cohort on cognitive impairment and dementia

J. Haynes, K. Scheffler, P. Dechent, 2023, Frontiers in Psychiatry.

Association between composite scores of domain-specific cognitive functions and regional patterns of atrophy and functional connectivity in the Alzheimer’s disease spectrum

M. Munk, F. Jessen, J. Haynes, 2020, NeuroImage: Clinical.

Decoding Information from fMRI Signals

Jakob Heinzle, John-Dylan Haynes, J. Haynes, 2013 .

Multiple neural representations of elementary logical connectives

Giosuè Baggio, John-Dylan Haynes, Carlo Reverberi, 2016, NeuroImage.

Categorical working memory codes in human visual cortex

C. Allefeld, J. Haynes, T. Christophel, 2021, NeuroImage.

Suppress Me if You Can: Neurofeedback of the Readiness Potential

J. Soch, J. Haynes, B. Blankertz, 2021, eNeuro.

The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods

Martin N. Hebart, John-Dylan Haynes, Carsten Allefeld, 2017, NeuroImage.

Automatic processing of political preferences in the human brain

John-Dylan Haynes, Thorsten Kahnt, David Wisniewski, 2013, NeuroImage.

The Representation of Abstract Task Rules in the Human Prefrontal Cortex

John-Dylan Haynes, Katsuyuki Sakai, Richard E. Passingham, 2008, Cerebral cortex.

Confusions regarding stochas�c ﬂuctua�ons and accumulators in spontaneous movements

J. Haynes, C. Bogler, Bojana Grujičić, 2021 .

Similar neural mechanisms for perceptual guesses and free decisions

Stefan Bode, Carsten Bogler, John-Dylan Haynes, 2013, NeuroImage.

The point of no return in vetoing self-initiated movements

Benjamin Blankertz, Sven Dähne, Daniel Birman, 2015, Proceedings of the National Academy of Sciences.

How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection

John-Dylan Haynes, Carsten Allefeld, Joram Soch, 2016, NeuroImage.

Indirect decoding of behavior from brain signals via reconstruction of experimental conditions

J. Soch, J. Haynes, 2022, bioRxiv.

Cortical surface-based searchlight decoding

Lloyd T. Elliott, Jakob Heinzle, Michael W. L. Chee, 2011, NeuroImage.

Altered Coupling of Psychological Relaxation and Regional Volume of Brain Reward Areas in Multiple Sclerosis

J. Haynes, S. Gold, F. Paul, 2020, Frontiers in Neurology.

Internal and external attention and the default mode network

Carsten Bogler, John-Dylan Haynes, Tobias Gleich, 2017, NeuroImage.

Association of Cholinergic Basal Forebrain Volume and Functional Connectivity with Markers of Inflammatory Response in the Alzheimer's Disease Spectrum.

M. Munk, F. Jessen, J. Haynes, 2021, Journal of Alzheimer's disease : JAD.

Inquiring Organizations and the Wisdom of Tacit Knowledge for a Heideggerian Inquiring System: The Sixth Sense

J. Haynes, 2005 .

Encoding of continuous perceptual choices in human early visual cortex

Felix M. Töpfer, Henning Sprekeler, J. Soch, 2023, bioRxiv.

Human visual and parietal cortex encode visual choices independent of motor plans

Martin N. Hebart, John-Dylan Haynes, Tobias H. Donner, 2012, NeuroImage.

Predictive brain signals best predict upcoming and not previous choices

Jakob Heinzle, Chun S. Soon, Carsten Allefeld, 2014, Front. Psychol..

Sequential dependencies between trials in free choice tasks

Jakob Heinzle, Carsten Allefeld, Carsten Bogler, 2013, 1311.0753.

The neural encoding of guesses in the human brain

Soon Chun Siong, Stefan Bode, Carsten Bogler, 2012, NeuroImage.

Language control in bilinguals: Intention to speak vs. execution of speech

R. Stefan Greulich, Albert Costa, John-Dylan Haynes, 2015, Brain and Language.

Medial Prefrontal Cortex Predicts Internally Driven Strategy Shifts

Nicolas W. Schuck, J. Haynes, P. Frensch, 2015, Neuron.

Towards a multi-brain perspective on communication in dialogue

Roel M. Willems, Anna K. Kuhlen, C. Allefeld, 2015 .

Security risks for remote intelligent Pharmacy-on-a-Chip delivery systems

Carey L. Thaldorf, John D. Haynes, Yan Yan Wang, 2009 .

Neuro-cognitive mechanisms of conscious and unconscious visual perception: From a plethora of phenomena to general principles

F. Hamker, R. Verleger, M. Kiefer, 2011, Advances in cognitive psychology.

Visuomotor Functional Network Topology Predicts Upcoming Tasks

Jakob Heinzle, John-Dylan Haynes, J. Haynes, 2012, The Journal of Neuroscience.

Pattern Recognition of Brain Signals

F. de Martino, A. Roebroeck, U. Hasson, 2008 .

Bringing Together Robotics, Neuroscience, and Psychology: Lessons Learned From an Interdisciplinary Project

Olga A. Wudarczyk, Anna K. Kuhlen, V. Hafner, 2021, Frontiers in Human Neuroscience.

Parietal and early visual cortices encode working memory content across mental transformations

Martin N. Hebart, Radoslaw Martin Cichy, John-Dylan Haynes, 2015, NeuroImage.

Orientation pop-out processing in human visual cortex

Stefan Bode, Carsten Bogler, John-Dylan Haynes, 2013, NeuroImage.

Brain activity, regional gray matter loss, and decision-making in multiple sclerosis

J. Haynes, S. Gold, F. Paul, 2018, Multiple sclerosis.

Selective activation around the left occipito‐temporal sulcus for words relative to pictures: Individual variability or false positives?

S. Rombouts, A. Mechelli, C. Price, 2007, Human brain mapping.

The Neural Representation of Voluntary Task-Set Selection in Dynamic Environments.

J. Haynes, A. Tusche, C. Reverberi, 2015, Cerebral cortex.

Automatic processing of political preferences in the human brain

J. Haynes, T. Kahnt, A. Tusche, 2013, NeuroImage.

Diagnosing different binge‐eating disorders based on reward‐related brain activation patterns

J. Haynes, A. Schienle, M. Weygandt, 2012, Human brain mapping.

Similar coding of freely chosen and externally cued intentions in a fronto-parietal network

J. Haynes, T. Goschke, David Wisniewski, 2016, NeuroImage.

Internal and external attention and the default mode network

Hannah J. Scheibner, J. Haynes, F. Bermpohl, 2017, NeuroImage.

Imagery and perception share cortical representations of content and location.

Radoslaw Martin Cichy, J. Haynes, J. Heinzle, 2012, Cerebral cortex.

Information flow, dynamical systems theory and the human brain: Comment on "Information flow dynamics in the brain" by M.I. Rabinovich et al.

Jakob Heinzle, Carsten Allefeld, John-Dylan Haynes, 2012, Physics of life reviews.

Odor quality coding and categorization in human posterior piriform cortex

J. Haynes, M. Grueschow, J. Gottfried, 2009, Nature Neuroscience.

Decoding different roles for vmPFC and dlPFC in multi-attribute decision making

Soyoung Q. Park, J. Haynes, J. Heinzle, 2011, NeuroImage.

The effect of context and reason on the neural correlates of intentions

I. Toni, J. Haynes, S. Uithol, 2023, Heliyon.

Decoding and predicting intentions

J. Haynes, 2011, Annals of the New York Academy of Sciences.

The neural encoding of guesses in the human brain

Soon Chun Siong, J. Haynes, C. Bogler, 2012, NeuroImage.

Modeling robot co-representation: state-of-the-art, open issues, and predictive learning as a possible framework

Verena V. Hafner, John-Dylan Haynes, Olga A. Wudarczyk, 2020, 2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob).

Orientation pop-out processing in human visual cortex

J. Haynes, C. Bogler, S. Bode, 2013, NeuroImage.

Emotion modulates the effects of endogenous attention on retinotopic visual processing

G. Rees, J. Haynes, P. Sterzer, 2011, NeuroImage.

fMRI pattern recognition in obsessive–compulsive disorder

J. Haynes, Axel Schäfer, R. Stark, 2012, NeuroImage.

Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: evaluation in Alzheimer’s disease

J. Haynes, K. Scheffler, P. Dechent, 2021, Alzheimer's Research & Therapy.

Neuroimaging: Decoding mental states from brain activity in humans

G. Rees, J. Haynes, 2006, Nature Reviews Neuroscience.

Decoding verbal working memory representations of Chinese characters from Broca's area

John-Dylan Haynes, Thomas B. Christophel, Carsten Allefeld, 2020, NeuroImage.

Inverse transformed encoding models – A solution to the problem of correlated trial-by-trial parameter estimates in fMRI decoding

John-Dylan Haynes, Carsten Allefeld, Joram Soch, 2019, NeuroImage.

Valid population inference for information-based imaging: From the second-level t-test to prevalence inference

C. Allefeld, J. Haynes, Kai Görgen, 2015, NeuroImage.

Multivariate decoding and brain reading: Introduction to the special issue

John-Dylan Haynes, J. Haynes, 2011, NeuroImage.

Objects that create their own context: the inclusion of conception in the mental model of the user

Ahmed Mahfouz, Ahmed Y. Mahfouz, John D. Haynes, 2001, CHINZ '01.

How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging

John-Dylan Haynes, Carsten Allefeld, Joram Soch, 2017, NeuroImage.