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Alex Galvez PolView profile

Associate Professor

• Cognitive Neuroscience
• Interoception
• Embodiment
• +3 more

Alex Galvez Pol is an Associate Professor at the Psychology Department of the University of the Balearic Islands (Spain), leading the Active Cognition, Embodiment & Environment Lab (ACE²Lab). His research focuses on the dynamic interactions between active sensing mechanisms and interoception, investigating how bodily states influence environmental perception through electrophysiological methods. Current affiliations: University of the Balearic Islands (UIB) Lab: ACE²Lab (Active Cognition, Embodiment & Environment Lab) Research hubs: Collaborates with University College London and Max Planck Institute Research interests center around: Active sensing through bodily movements (eye/limb tracking) Interoception-environment interaction dynamics Neural mechanisms of embodied cognition Ecological validity in neuroscience research Article trends reveal: Strong focus on cardiac cycle modulating perception Interoception as fundamental to sensory processing Embodied cognition across clinical (autism) and educational contexts Neuroaesthetics and multisensory integration in social processes Lab structure: 7 behavioral testing rooms 1 electrophysiological suite (EEG, ECG, respiration) 1 eye-tracking room 2 wearable physiology systems Mobile research van for field experiments

Roee GutmanView profile

Professor

• Bayesian Data Analysis
• Missing Data
• Record Linkage
• +4 more

Roee Gutman is a tenured Professor of Biostatistics at Brown University's School of Public Health. His research focuses on Bayesian data analysis , causal inference , record linkage , and missing data techniques , with applications to health policy, geriatrics, and medical decision-making. Ph.D. in Statistics, Harvard University (2011) Advisor: Professor Donald Rubin , member of Professor Jun Liu's Lab BS (1999) and MS (2004) in Statistics/Optimization from Tel Aviv University His methodological work advances Bayesian causal inference and privacy-preserving data linkage , enabling valid comparisons of non-randomized interventions through multiple imputation and propensity score modeling . Applications include: Linking HIV+ prisoner records with clinical data Comparing opioid vs. NSAID effectiveness Estimating effects of erythropoietin-stimulating agents Nursing home bed-hold policy analysis Recent publications emphasize AI-driven healthcare monitoring (2024), DASH diet adherence interventions (2023), and Bayesian singular value decomposition (2023). Awards include: 2023 Best Paper Award, Statistics in Biopharmaceutical Research 2022 Methodology Award, ISPOR 2022 ASA/NSF/BLS Senior Research Fellow He collaborates with researchers across health services , geriatrics , and epidemiology , with funding from PCORI, NSF, and NIA. Teaching includes courses on Bayesian Methods and Statistical Inference .

• Psychophysiology
• Time Perception
• Interoception
• +2 more

Irena Arslanova is a Leverhulme Early Career Fellow in the Department of Psychology at Royal Holloway, University of London, conducting cutting-edge research at the intersection of cardiac physiology and cognitive processes. Her work investigates how bodily signals, particularly heart activity, shape attention, time perception, and social cognition through rigorous experimental paradigms. Her research spans psychophysiology, time perception, interoception, social cognition, and cognitive neuroscience, focusing on how cardiac rhythms modulate subjective experiences. She examines the bidirectional relationship between physiological states and cognitive functions, revealing how heartbeat timing influences alertness, distorts temporal judgments, and enables inference of others' physiological states. This work bridges experimental psychology, neuroscience, and physiology to advance understanding of embodied cognition. Analysis of her publications shows a cohesive research trajectory centered on the heart as a dynamic modulator of cognition. Her studies consistently demonstrate cardiac phase effects on attentional systems, heartbeat-dependent time perception distortions, and social cognition mechanisms rooted in interoceptive awareness. These findings establish the cardiovascular system as a fundamental component of perceptual and cognitive processing rather than a passive background process. Dr. Arslanova has received the prestigious Leverhulme Early Career Fellowship, a highly competitive award supporting outstanding early-career researchers. Her fellowship project has generated exceptional academic and public impact: Picked up by 11 major news outlets Blogged by 2 independent science communicators Posted by 291 X (Twitter) users Featured on 3 Facebook pages Reddited by 4 communities Discussed in 2 YouTube videos Cited by 5 Bluesky users Accumulated 69 Mendeley readers Her Leverhulme Trust-funded project "In search of experienced time: the heart as a subjective pacemaker" (2024-2027) represents a significant research investment with substantial societal reach. While student advising details aren't publicly documented, her active publication record and high-impact project demonstrate strong research leadership and community engagement through open-access dissemination and public communication of findings.

Jeanne DekerleView profile

Senior Lecturer

• Exercise Physiology
• Neuromuscular Fatigue
• Exercise Tolerance
• +3 more

Dr. Jeanne Dekerle is a Senior Lecturer at the University of Brighton, within the School of Education, Sport and Health. She leads the Fatigue and Exercise research lab, focusing on mechanisms of exercise tolerance, neuromuscular fatigue, and brain-muscle interactions. Her work spans clinical populations (e.g., multiple sclerosis, post-COVID, ME/CFS) and healthy individuals. She holds roles such as former Postgraduate Research Coordinator (2017–2021) and MSc Course Leader for Applied Sport Physiology and Exercise Physiology (2012–2019). Education: PhD in Sports and Exercise Science (Physiology), Université de Lille 2 (2003) Master’s in Physiology and Biomechanics, Université de Lille 2 (2000) Postgraduate Certificate in Teaching in Higher Education, University of Brighton (2010) Research Interests: Her work explores perceptions of fatigue and effort during exercise, neuromuscular fatigue mechanisms, and exercise-based rehabilitation strategies. She emphasizes translational research to improve clinical and athletic outcomes. Teaching Contributions: She pioneered problem-based learning (PBL) and Action Learning Sets (ALS) in MSc programs, integrating real-world scenarios from collaborations with the English Institute of Sport (EIS). Courses include Applied Sport Physiology, Applied Exercise Physiology, and Strength and Conditioning. Supervision: Supervised five completed PhD students and currently mentors five more. She emphasizes peer support and bespoke research projects in her lab. Labs/Teams: Leads the Fatigue and Exercise lab at the University of Brighton, focusing on psychophysiological responses in exercise and clinical populations.

Dominique MakowskiView profile

Assistant Professor

• Clinical Neuropsychology
• Reality Perception
• Emotion Regulation
• +14 more

Dominique Makowski is an Assistant Professor in Psychology at the School of Psychology, University of Sussex, where he leads the Reality Bending Lab (ReBeL) and teaches advanced courses in Bayesian statistics and psychophysiology. He has previously held research positions at Nanyang Technological University in Singapore, including as a Presidential Research Fellow. Education: PhD in Psychology, Université de Paris (2014–2018) MSc in Clinical Neuropsychology, Université de Paris (2012–2014) BSc in Psychology, Université de Paris (2009–2012) His research focuses on the neuropsychology of reality perception, including deception, fake news, visual illusions, and altered states of consciousness. He also investigates the role of the body and emotions in cognition, particularly interoception and emotion regulation, and is deeply committed to methodological innovation. He develops open-source software tools such as easystats , NeuroKit , Pyllusion , and Neuropsydia to enhance accessibility and reproducibility in psychological science. His recent publications reflect a strong trend in methodological development, neurophysiological signal processing, and the cognitive neuroscience of belief and perception. These works integrate Bayesian statistics, open science practices, and computational modeling to advance both theory and application in psychology. Scientific Awards: School of Psychology Award Winner 2024: Outstanding Student Supervision SIPS Commendation (2024): for NeuroKit University of Sussex Research Culture Awards Winner 2024: for engagement in Open Science SIPS Mission Award (2023): for easystats SIPS Commendation (2021): for BayestestR Best Article Award (Psychonomic Society, 2020): for main PhD paper Dr. Makowski has supervised numerous research assistants and students, particularly during his postdoctoral and faculty roles, and has secured research funding (e.g., $200k during his Presidential Fellowship). He has delivered workshops on psychophysiological methods, Bayesian statistics, and programming at institutions including the University of Basel, University of Zurich, and NTU Singapore. He leads the Reality Bending Lab (ReBeL) , which integrates neuroscience, psychology, and computational methods to study how humans perceive and interpret reality. The lab emphasizes open science, reproducibility, and interdisciplinary collaboration.

Matthias Müller-SchraderView profile

Research Fellow

• Computational Neuroscience
• Mathematical Modeling
• Physics of Neuroimaging
• +6 more

Matthias Müller-Schrader is a PostDoc at the Fields Institute for Research in the Mathematical Sciences. His research bridges computational neuroscience, mathematics, and physics, focusing on extending whole-brain computational models and developing methods for clinical applications. His work spans three major areas: Advancing Bayesian workflows for robust statistical inference in computational psychiatry Developing ultra-high-field spiral fMRI techniques with sub-millimeter resolution for improved BOLD sensitivity Building open-source computational assays through the TAPAS software package. Key contributions include multivariate response modeling for hierarchical Bayesian inference, magnetic field monitoring in 7T MRI systems, and clinical translation of predictive coding frameworks for pain perception studies.

• Interoceptive Inference
• Cardiac Neuroscience
• Predictive Coding
• +2 more

Amanda C. Marshall is a Post-Doctoral Research Fellow at LMU Munich's Department of Psychology. Her research investigates the electrophysiological mechanisms of interoceptive inference using EEG, focusing on heartbeat-brain interactions in emotional processing and motor control. Key findings demonstrate cardiac phase influences on distractor suppression and the role of facial expressions in interoceptive learning. Publications in Nature Communications and Social Cognitive and Affective Neuroscience explore predictive coding models of body-brain communication.

• Consciousness Studies
• Neuroscience
• Predictive Processing
• +4 more

Andrew Corcoran is a Research Fellow at Monash University's Centre for Consciousness and Contemplative Studies. His work focuses on consciousness studies, predictive processing, and embodied cognition. Key areas include neural mechanisms of learning, interoception's role in cognition, and theoretical frameworks like active inference. He has published extensively in neuroscience and cognitive science journals, with recent work examining sleep's role in language learning, developmental agency origins, and adversarial collaborations in consciousness research. His interdisciplinary approach bridges philosophy, neuroscience, and physiology.

• Cognitive Neuroscience
• Interoceptive Inference
• Neurophysiology
• +3 more

Dr. Amanda C. Marshall is a Post-Doctoral Research Fellow at the Department of Psychology (General and Experimental Psychology) at Ludwig Maximilian University of Munich. She joined the lab in 2016 and holds a PhD in cognitive neuroscience from the University of Essex, Colchester, England. Her research focuses on the electrophysiological underpinnings of interoceptive inference, employing neuroscientific and psychophysiological methodologies. Affiliation: LMU Munich, Leopoldstr. 13, Room 2103A Her work bridges cognitive neuroscience and experimental psychology, with a particular emphasis on understanding bodily signal processing through advanced electrophysiological techniques. No specific grants or awards are listed in the provided information.

Anil SethView profile

Professor

• Consciousness Science
• Cognitive Neuroscience
• Computational Neuroscience
• +7 more

Anil Seth is Professor of Cognitive and Computational Neuroscience at the University of Sussex, where he serves as Director of the Sussex Centre for Consciousness Science. He is also Co-Director of the Canadian Institute for Advanced Research (CIFAR) Program on Brain, Mind, and Consciousness. His research bridges psychology, philosophy, computer science, AI, physics, mathematics, psychiatry, and neurology to determine the biological basis of conscious experience. Dr. Seth completed his MA in Natural Sciences at Cambridge University in 1996, followed by an MSc in Knowledge-Based Systems and a DPhil in Computer Science & Artificial Intelligence, both at the University of Sussex. He worked as a postdoctoral researcher at The Neurosciences Institute in San Diego from 2001-2006 before returning to Sussex. Seth's research is guided by two key principles: that consciousness science should account for properties of subjective experience in terms of neural mechanisms, and that basic experiences of conscious selfhood depend on close connections between brain and body. His lab develops mathematical measures of information flow and neuronal complexity as markers of conscious level, investigates how conscious perception depends on neural mechanisms underlying 'predictive processing' in the Bayesian brain, and explores how prediction of bodily signals underlies basic experiences of selfhood using virtual reality and psychophysiology. These insights are translated into new approaches for understanding disturbances of conscious experience in psychiatric disorders. His publications reveal a consistent focus on the neural basis of consciousness, with recent work expanding into consciousness in artificial intelligence, ethics of brain-computer interfaces, and stroboscopically-induced hallucinations. His research spans theoretical frameworks, empirical studies, and practical applications across multiple domains. Clarivate Highly Cited Researcher (2019-2024) Royal Society's Michael Faraday Prize (2023) Prospect Magazine Top 25 Thinkers for 2024 Royal Society Young People's Book Prize (2014) BBC Radio Drama Awards Best Single Drama (2016) 2019 KidSpirit Perspective prize 2023 Segerfalk Prize from the University of Lund Seth has received significant research funding including an EPSRC Leadership Fellowship, an ERC Advanced Investigator Grant, support from the Wellcome Trust, and funding from CIFAR. He was previously a Wellcome Trust Engagement Fellow (2016-2020) and founding Editor-in-Chief of Neuroscience of Consciousness (2014-2024). His book 'Being You: A New Science of Consciousness' (2021) became a Sunday Times Top 10 Bestseller and was named Book of the Year by multiple publications including The Economist and The New Statesman. His 2017 TED Talk has garnered over 15 million views and is among TED's most popular science talks. He leads the Sussex Centre for Consciousness Science and collaborates extensively with international researchers, including through the CIFAR Program on Brain, Mind, and Consciousness. His work increasingly intersects with artists and creators, as evidenced by projects like Dreamachine, an innovative immersive experience combining art, neuroscience, architecture, and music.

Henrik WalterView profile

Professor

• Psychiatry
• Neuroscience
• Psychology
• +8 more

Henrik Walter is a Full Professor (W3) of Psychiatry with a focus on Psychiatric Neuroscience and Neurophilosophy at Charité – Universitätsmedizin Berlin. He serves as Director of the Mind and Brain Research Division and Deputy Medical Director (Research) at the Department of Psychiatry and Psychotherapy, Charité Campus Mitte. Walter is also a faculty member at the Berlin School of Mind and Brain , a faculty member of the Bernstein Computational Center Berlin , and a principal investigator at the Berlin Center for Advanced Neuroimaging . Clinical expertise: Schizophrenia and affective disorders Empirical research: Working memory, volition, reward mechanisms, emotion regulation, mentalization, imaging genetics, connectomics Philosophical research: Philosophy of mind, neurophilosophy, neuroethics, philosophy of psychiatry Research trends in his 15 most recent publications (2009-2024) emphasize connectome-based machine learning , dynamic network reconfiguration , self-control mechanisms , and predictive models for psychiatric relapse . His work explores the intersection of neural network organization , emotional processing , and philosophical frameworks in mental health. Walter oversees major projects including environMENTAL (data harmonization in large cohorts) and FOR5187 PREACT (personalized psychotherapy). His team actively trains students and researchers through internships, theses supervision, and doctoral programs.

Rodrigo Jesús Díaz MartínView profile

Research Fellow

• Experimental Philosophy
• Emotions
• Meta-Ethics
• +7 more

Rodrigo Jesús Díaz Martín is a postdoctoral researcher at the Spanish National Research Council (CSIC) under the Institute of Philosophy and part of the Applied Ethics Group (GEA) . He previously held a postdoctoral fellowship at the Ethics Research Center of the University of Montreal and completed his Ph.D. at the University of Zurich in 2021. His research explores the nature of emotions and their roles in moral judgment , motivation , and epistemic processes . He employs an interdisciplinary approach blending philosophical analysis with empirical research , including surveys, neuroimaging, and behavioral experiments. Key contributions include challenging somatic theories of emotion and critiquing reactive theories of fear through linguistic and experimental evidence. Recent publications examine AI emotional expressions , epistemic normativity , and emotional dispositions , with methodological innovations in fMRI applications and experimental philosophy . Awards include the Juan de la Cierva Contract , recognizing his postdoctoral research excellence.

Patric BachView profile

Professor

• Predictive Processing
• Social Perception
• Action Observation
• +5 more

Patric Bach is a Professor and Chair in Psychology at the University of Aberdeen, affiliated with the School of Psychology. He leads the Action Prediction Lab, focusing on predictive mechanisms in social perception, action observation, and human-robot interaction. His research employs Bayesian models, EEG/fMRI, and behavioral paradigms to investigate how prior knowledge shapes perception and prediction. His core research examines predictive processing in social contexts, including: (1) how expectations bias action perception and visual perspective-taking, (2) neural mechanisms underlying motor imagery and interoceptive illusions, and (3) applications in human-robot collaboration (e.g., robot motion perception and perspective-taking). Key themes include Bayesian hypothesis-testing, teleological action interpretation, and effect-based action control. Bach's recent publications emphasize multisensory integration in robotics, predictive biases in pain/interoception, and replications of social perception effects. Trends show increasing focus on computational modeling, embodied cognition in synthetic agents, and clinical implications of predictive processing. He has secured significant funding, including a £462,995 Leverhulme Trust grant (2020–2023) for neurocognitive studies of social prediction. He directs interdisciplinary projects with collaborators at Plymouth, Bangor, and international institutions, often involving EEG/fMRI and human-robot interaction paradigms.

James FitzgeraldView profile

Associate Professor

• Theoretical neuroscience
• Neural basis of behavior
• Whole-brain sensorimotor processing
• +2 more

James Fitzgerald is an Associate Professor in the Department of Neurobiology at Northwestern University, with joint affiliations in Physics and Astronomy. He directs the Fitzgerald Lab, which integrates theoretical modeling, data analysis, and experimental design to advance multiscale understanding of brain function across diverse neural systems and species. Dr. Fitzgerald holds a Ph.D. from Stanford University and completed postdoctoral training at Harvard University. His research bridges physics-based descriptions of neural microstructure with psychological frameworks of cognition. Research Interests: Theoretical neuroscience linking biological mechanisms to behavior Whole-brain sensorimotor processing across animal models Neural basis of learning, memory, and decision-making Development of computational frameworks for neural circuit analysis His recent publications demonstrate strong focus on computational neuroscience (70%), behavioral mechanisms (25%), and methodological innovations (5%), with emphasis on cross-species validation using Drosophila, zebrafish, and mammalian models. Key themes include memory organization, neural plasticity, and sensorimotor integration in naturalistic contexts. Scientific Honors: Janelia Group Leader, HHMI (2017-2023) Swartz Fellowship, Harvard (2013-2015) NSF Graduate Research Fellowship (2008-2011) Beckman Scholar Award (2006-2007) Dr. Fitzgerald leads interdisciplinary teams at the NSF-Simons National Institute for Theory and Mathematics in Biology. His lab collaborates globally on experimental validation of theoretical models, supported by NIH, NSF, and private foundations.

Todd ColemanView profile

Associate Professor

• Biomedical Engineering
• Neuroengineering
• Medical Devices
• +3 more

Todd P. Coleman is an Associate Professor in the Department of Bioengineering at Stanford University, with a courtesy appointment in Electrical Engineering. He holds a B.S. (summa cum laude) from the University of Michigan in electrical and computer engineering, and M.S./Ph.D. degrees from MIT in electrical engineering and computer science. His research focuses on interdisciplinary approaches combining applied probability, physiology, and bioelectronics, including technologies for monitoring and modulating nervous system activity in the brain and visceral organs. He has led grants from NSF, NIH, DoD, and private foundations, and holds 10 U.S. patents. He has served as Chair of the National Academies Standing Committee on Biotechnology and is a Gilbreth Lecturer (NAE), TEDMED speaker, and Fellow of IEEE and AIMBE. Dr. Coleman’s work spans wearable technologies for Parkinson’s disease, non-invasive electrophysiological monitoring (e.g., gastric and bladder function), and machine learning for medical diagnostics. His innovations include flexible electrode arrays, magnetoneurography systems, and DNA melt curve profiling. His recent projects address neurodevelopmental impairments in infants exposed to prenatal alcohol, gastrointestinal disorders, and interoceptive neural mechanisms linking gut-brain interactions. Scientific awards include recognition for his contributions to biomedical engineering and translational research. His research emphasizes clinical impact, with applications in neurology, gastroenterology, and neonatal health. He has collaborated extensively across academia and industry, driving advancements in medical devices, diagnostics, and computational neuroscience.