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Josep Marco PallaresView profile

Professor

• Neuroscience
• Cognitive Psychology
• Neuroimaging
• +3 more

Josep Marco Pallares is a Professor at the University of Barcelona's Faculty of Psychology, affiliated with the Department of Cognition, Development and Educational Psychology. He leads the Brain Dynamics and Structure of Human Cognition (BraCo) research group and holds an ICREA Academia Fellowship (2018-2023). His work focuses on neural mechanisms underlying reward processing, music perception, and social cognition using neuroimaging techniques. Education: Licenciatura in Psychology (University of Barcelona, 2000), Doctorate in Neuroscience (2012), and Doctorat (University of Barcelona, 2005) Research interests include brain oscillations in reward systems, music-evoked emotions, and decision-making. His recent studies explore how theta and gamma oscillations underpin pleasantness responses to music and social information. Ongoing projects investigate neural correlates of gambling behaviors and white matter correlates of music reward sensitivity. Awards: ICREA Academia Fellowship (2018) Has supervised doctoral theses on music reward processing and atypical reinforcer anticipation mechanisms. Active in teaching courses on neuroimaging techniques and music psychology at the University of Barcelona. Labs/Teams: Principal Investigator of the BraCo group, collaborating with AGAUR and Ministerio de Ciencia-funded projects.

Joe PatonView profile

Professor

• Neural Mechanisms of Time
• Interval Timing
• Rodent Neurophysiology
• +5 more

Joe Paton is a Professor and Principal Investigator at the Champalimaud Neuroscience Programme, Champalimaud Foundation in Lisbon, Portugal. He leads the Paton Lab which focuses on understanding how animals determine which environmental cues are predictive of behaviorally relevant events, known as the credit assignment problem. His research combines behavioral experiments with neurophysiological recordings in rodents to investigate neural mechanisms of time perception and decision making. Dr. Paton's research interests center on interval timing, temporal processing in the brain, and the neural basis of learning. His work particularly examines how the striatum and dopamine systems contribute to time perception and how animals solve the credit assignment problem through statistical inference in the time domain. His lab employs advanced techniques including optogenetics, neural recordings, and computational modeling to address these questions. Analysis of Dr. Paton's recent publications reveals a strong focus on striatal function in timing processes, with particular attention to how neural populations encode temporal information. His work bridges behavioral neuroscience with computational approaches, demonstrating how timing mechanisms influence decision making and learning processes. The research spans multiple levels from cellular mechanisms to behavioral outputs. Midbrain dopamine neurons control judgment of time (2016) Striatal dynamics explain duration judgments (2015) A Scalable Population Code for Time in the Striatum (2015) The Neural Basis of Timing: Distributed Mechanisms for Diverse Functions (2018) Dr. Paton has mentored numerous PhD students and postdoctoral researchers through the INDP (International Neuroscience Doctoral Program) and supervises a diverse team including research technicians, postdocs, and students. His lab has contributed significantly to understanding the neural basis of time perception and its role in learning and decision making. The Paton Lab also develops experimental tools and frameworks like Bonsai for behavioral neuroscience research.

• Magnetic Resonance Imaging (MRI)
• Functional MRI (fMRI)
• Biomedical Imaging Physics
• +6 more

Dr. Gary Glover is a Professor of Radiology (Radiological Sciences Lab) at Stanford University , with courtesy appointments in Psychology and Electrical Engineering. His work focuses on the physics and mathematics of MRI, particularly rapid scanning methods using spiral k-space trajectories for functional brain imaging and multimodal neuroimaging (fMRI/EEG/fPET/fNIRS) combined with neuromodulation techniques like TMS and transcranial ultrasound. Academic Appointments: Radiology, Psychology, Electrical Engineering Professional Affiliations: Bio-X, Stanford Cancer Institute, Wu Tsai Neurosciences Institute Research Interests include: Development of blood oxygen level-dependent (BOLD) and viscoelastic contrast in MRI Functional MR Elastography for brain activation mapping Optimization of MR-ARFI for transcranial ultrasound guidance Automated spinal cord segmentation (EPISeg) using machine learning Scientific Awards : National Academy of Engineering (2013) Gold Medal, ISMRM (2000) Steinmetz Award, General Electric (1985) Lauterbur Lecture, ISMRM (2018) Recent Publications analyze: Fast fMRI sampling and spurious signal correction Dissociated patterns in default mode network anti-correlations Neural correlates of collaborative behavior in triadic fMRI Salience network contributions to depression pathophysiology

Jose M. CarmenaView profile

Professor

• Neuroscience
• Neuroprosthetics
• Sensorimotor Learning
• +5 more

Jose M. Carmena is the Chancellor's Professor of Electrical Engineering and Neuroscience at the University of California-Berkeley and Co-Director of the Center for Neural Engineering and Prostheses (CNEP). His research focuses on brain-machine interfaces (BMIs), neuroprosthetics, and sensorimotor learning mechanisms. Ph.D., Robotics, University of Edinburgh (2002) M.S., Artificial Intelligence, University of Edinburgh (1998) M.S., Electrical Engineering, University of Valencia (1997) B.S., Electrical Engineering, Polytechnic University of Valencia (1995) Dr. Carmena's work bridges neural engineering and systems neuroscience, investigating corticostriatal plasticity, wireless neural recording systems (e.g., neural dust), and closed-loop BMI adaptation. His publications reveal expertise in Neuroprosthetic Algorithms , Wireless Neural Interfaces , and Sensorimotor Learning with applications in chronic neuroprosthetic systems. McKnight Technological Innovations in Neuroscience Award (2017) IEEE Fellow (2017) NSF CAREER Award (2010) Sloan Research Fellow (2009) Hellman Fellow (2007) His advisees include Paul Botros, Archit Gupta, and Vivek Athalye. Dr. Carmena has published extensively in journals like Nature , Neuron , and Nature Neuroscience , developing technologies such as ultrasonic neural dust for cortical recording and adaptive control algorithms for prosthetics.

Chet C. SherwoodView profile

Professor

• Evolutionary Neuroscience
• Comparative Neuroanatomy
• Primate Brain Evolution
• +3 more

Chet C. Sherwood is a Professor of Anthropology at George Washington University (GW) and a core faculty member of the Center for the Advanced Study of Human Paleobiology (CASHP). He also directs the National Chimpanzee Brain Resource and is affiliated with the GW Mind-Brain Institute. His research focuses on evolutionary neuroscience, particularly brain evolution in primates and other mammals, emphasizing how brain structure relates to behavior, development, and genetics. Education: Ph.D. (2003), M.A. (1998, 1996), and B.A. (1995) from Columbia University, with an additional M.A. from New York University (1996). Teaches courses such as ANTH 1001: Biological Anthropology and ANTH 3413: Evolution of the Human Brain. Research interests include comparative neuroanatomy of the cerebral cortex, human brain evolution relative to other primates, and the molecular and cellular mechanisms underlying cognitive evolution. He explores how brain differences across species correlate with ecological and behavioral traits, leveraging neuroimaging, transcriptomics, and fossil reconstruction techniques. Recent work investigates aging-related brain changes in primates and elephants. Notable achievements include membership in the National Academy of Sciences (2021) and the AAAS Fellowship (2022). His lab’s studies on chimpanzee brain plasticity and the genetic basis of primate cognition have advanced understanding of human uniqueness and shared evolutionary traits. Chet’s interdisciplinary collaborations span paleontology, genomics, and neuroscience, with a focus on bridging evolutionary and medical insights. His leadership in the National Chimpanzee Brain Resource underscores his commitment to advancing comparative neurobiology through resource development and ethical research practices.

Bo LiView profile

Professor

• Neuroscience
• Neural circuits
• Synaptic plasticity
• +12 more

Bo Li is the Robert Lourie Professor of Neuroscience at Cold Spring Harbor Laboratory (CSHL) in the School of Biological Sciences. His research focuses on the neural circuits underlying cognitive function and dysfunction related to anxiety, depression, schizophrenia, and autism, with particular emphasis on synaptic mechanisms and rodent behavioral models. He earned his Ph.D. in Neuroscience from the University of British Columbia in 2003. Education: Ph.D., Neuroscience, University of British Columbia (2003) M.Sc., Psychology, Chinese Academy of Sciences (1997) B.Sc., Medicine, Jining Medical College (1992) Li's lab integrates in vitro and in vivo electrophysiology, imaging, molecular and genetic techniques, optogenetics, and chemogenetics to probe fear and reward circuits in rodent brains. His work examines how these circuits contribute to adaptive and maladaptive behaviors, with significant implications for understanding mental disorders. Recent publications highlight his exploration of the vitamin B6 pathway in cancer, opioid neuropeptide dynamics in motivation, and area postrema neurons in brain-body interactions. His research also addresses salience assignment through striatal-amygdala circuits and dietary choice regulation via neurotensin neurons in the extended amygdala. Scientific awards include: HFSP Research Grant awards 2015 NARSAD Independent Investigator grant WSBS Teaching Award 2015 Students in his lab include Sara Boyle, Mingzhe Liu, and Danielle van de Lisdonk. His work has been supported by NIH BRAIN Initiative grants and involves collaborations across multiple CSHL laboratories.

Carrie R FerrarioView profile

Associate Professor

• Neurobiology of motivation
• Obesity research
• Addiction neuroscience
• +2 more

Dr. Carrie R. Ferrario is a dual-appointed Associate Professor at the University of Michigan, holding positions in both the Medical School's Department of Pharmacology and the College of Literature, Science, and the Arts Department of Psychology . She leads the Ferrario Lab, which investigates the neurobiological intersections of obesity and drug addiction, focusing on glutamatergic transmission in the striatum. Education : Postdoctoral Fellow at University of Michigan Medical School (2012) and Rosalind Franklin University of Medicine and Science (2008) Research Focus : Her work integrates addiction neuroscience, learning theory, and feeding behavior to explore how sugary/fatty foods alter brain function, particularly in relation to individual susceptibility to obesity and parallels between eating urges and substance abuse mechanisms. Scientific Awards : 2023 John J. Abel Award in Pharmacology Collaborations : Co-Director of the NIDA-funded Biology of Drug Abuse Postdoctoral T32 program, with affiliations in the Domino Addiction Research Center, Neuroscience Graduate Program, and Multidisciplinary Training Program in Basic Diabetes Research. Her lab employs advanced behavioral and neurochemical analyses to study motivation and plasticity in obesity and addiction contexts.

John G. KernsView profile

Professor

• Translational Clinical Neuroscience
• Psychotic Disorders
• Cognitive and Emotional Control
• +5 more

John G. Kerns is a Professor in the Department of Psychology at the University of Missouri, leading the Cognitive and Emotional Control Lab. His research integrates clinical psychology and neuroscience to understand psychotic disorders, with a focus on striatal functioning and aberrant salience. His primary research interests include: Translational clinical neuroscience of psychotic disorders Cognitive and emotional control mechanisms Striatal functioning and feedback-related learning Aberrant salience and positive schizotypy Openness to experience in psychopathology Analysis of Dr. Kerns' recent publications shows a strong emphasis on neuroimaging and behavioral studies of psychosis risk, particularly examining corticostriatal pathways and their relationship to cognitive deficits. His work consistently bridges personality factors with neural mechanisms. No scientific awards are mentioned in the provided text. Dr. Kerns mentors a vibrant team of graduate and undergraduate students. Current graduate students include Megan Liew and Tyler Rogers, and his alumni have secured prestigious positions in academia and clinical practice. He is accepting applications for graduate students starting in Fall 2026. The Cognitive and Emotional Control Lab provides a collaborative environment for research on psychotic disorders, utilizing behavioral, clinical, and neuroimaging methods to advance understanding and treatment.

Donna J. CaluView profile

Associate Professor

• Reward Learning
• Motivation
• Addiction Vulnerability
• +12 more

Donna J. Calu , PhD, is an Associate Professor in the Department of Anatomy and Neurobiology at the University of Maryland School of Medicine . Her research focuses on behavioral and systems neuroscience to uncover brain mechanisms underlying addiction vulnerability , reward learning , motivation , and individual differences . She employs optogenetics , chemogenetics , in vivo electrophysiology , and fiber photometry to investigate amygdala, cortical, and striatal circuitry. Education: BS in Biology (University of Maryland, College Park), PhD in Neuroscience (University of Maryland School of Medicine) Postdoctoral Training: National Institute on Drug Abuse (NIDA), mentored by Yavin Shaham Her work identifies dopamine signaling and neural pathways (e.g., BLA-insular cortex, BLA-nucleus accumbens) as critical for cue-driven behaviors and resilience to relapse . Recent studies explore CB1R signaling , psychedelic effects on dopamine, and sex differences in addiction models. Scientific Awards include PECASE , NARSAD Young Investigator Award , Outstanding Young Scientist (Maryland Science Center), and Top Junior Investigator (Winter Conference on Brain Research). She serves as Director of the Program in Neuroscience (2023-present) and holds editorial roles in Journal of Neuroscience and Frontiers in Behavioral Neuroscience .

Barbara StruppView profile

Professor

• Developmental Psychology
• Neuropsychology
• Nutritional Neuroscience
• +4 more

Barbara Strupp is a Professor in the Department of Psychology at Cornell University, with joint affiliations to the College of Arts and Sciences and College of Human Ecology. Her research examines neurodevelopmental trajectories using rodent models and human clinical studies, focusing on nutritional interventions and environmental neurotoxins. She maintains active collaborations with Rush University Medical Center, NYU, UC Santa Cruz, and University of Illinois researchers. Her primary investigations evaluate how maternal choline supplementation during pregnancy influences cognitive development in Down syndrome models and neurotypical populations, revealing lasting improvements in attention, spatial memory, and emotional regulation. Parallel research analyzes developmental manganese exposure's neurotoxic effects on attention and motor function, demonstrating therapeutic efficacy of methylphenidate through catecholaminergic receptor modulation. Studies integrate behavioral phenotyping with neural mechanism analyses across lifespan development. Recent publication trends (2019-2025) highlight longitudinal human trials confirming choline's cognitive benefits in school-aged children, mechanistic rodent studies elucidating choline's neuroprotective pathways in Down syndrome models, and neuropharmacological interventions counteracting manganese-induced deficits. Research consistently bridges nutritional science, neurotoxicology, and developmental disorder therapeutics.

• Computational Neuroscience
• Spacetime Connectomics
• Neurotwin Models
• +5 more

Jakub Vohryzek is a postdoctoral researcher at the Computational Neuroscience (CNS) Group at University Pompeu Fabra in Barcelona, supervised by Prof. Gustavo Deco. His work focuses on spacetime connectomics and whole-brain modeling, particularly in neurodegenerative disorders and psychedelic neuroscience. He holds a DPhil from the University of Oxford, where he studied under Prof. Morten Kringelbach. Research Interests: Spacetime connectomics Psychedelic-induced brain state transitions Neurotwin models for personalized medicine Cognitive and clinical applications of whole-brain dynamics Current projects include developing neurotwin models under a European grant for neurodegenerative treatments, investigating brain state dynamics in mindfulness therapy, and modeling psychedelic effects on Alzheimer’s disease. His recent work emphasizes low-dimensional brain network interactions and functional hierarchy perturbations. His research has explored connectivity profiles, oscillatory restoration in dementia, and algorithmic agent approaches to neuropsychiatric disorders. He collaborates on open-science initiatives like Brainhack and advocates for inclusive conference design.

John O'DohertyView profile

Professor

• Decision Neuroscience
• Reward Learning
• Neural Mechanisms of Decision-Making
• +4 more

John O'Doherty is the Fletcher Jones Professor of Decision Neuroscience at the California Institute of Technology (Caltech). He holds a B.A. from Trinity College Dublin (1996) and a D.Phil. from the University of Oxford (2000). His academic trajectory includes roles as Assistant Professor (2004–2007), Associate Professor (2007–2009), and Professor (2009–present), culminating in his current endowed chair since 2021. From 2013–2017, he served as Director of the Caltech Brain Imaging Center. Research Focus: O'Doherty’s work investigates how the brain processes decisions under uncertainty, encodes reward values, and learns from experience. His group studies neural systems involved in decision-making, including arbitration between model-based and model-free learning strategies, the role of prefrontal and striatal circuits in value representation, and social learning mechanisms. They utilize computational modeling combined with neuroimaging (fMRI) and electrophysiological techniques. Key Contributions: His research bridges cognitive neuroscience and psychiatry, addressing topics like gambling disorder, autism spectrum traits, anorexia nervosa, and obsessive-compulsive behaviors. He has pioneered studies on the neural substrates of reward prediction errors, hierarchical decision-making, and the interplay between habitual and goal-directed actions. Affiliations: Caltech Brain Imaging Center (Former Director) Leading international collaborations in neuroeconomics and computational psychiatry Grants & Funding: Extensive support from NIH, NSF, and private foundations for projects on decision neuroscience and translational mental health research.

• Neuroimaging
• PET Imaging
• Radiopharmaceutical Development
• +5 more

Maeva Dhaynaut is an Instructor in the Department of Radiology & Biomedical Imaging at Yale School of Medicine. Her academic appointment is within the Division of Bioimaging Sciences, focusing on positron emission tomography (PET) research and applications. Dr. Dhaynaut's research spans multiple areas of molecular and neuroimaging, with particular emphasis on: Development and application of PET radiotracers for neurological disorders Tau imaging in Alzheimer's disease and related neurodegenerative conditions Opioid receptor imaging and neuropsychiatric applications Quantitative imaging methods and kinetic modeling Novel radiopharmaceutical development for CNS targets Her recent publications demonstrate strong expertise in tau PET imaging with tracers like [18F]MK6240, with applications ranging from Alzheimer's disease to sports-related neurodegeneration in former football players. She has also made significant contributions to opioid receptor imaging and potassium channel imaging. Dr. Dhaynaut frequently employs advanced computational methods including diffusion models and Bayesian approaches for kinetic parameter estimation in dynamic PET imaging. Dr. Dhaynaut's collaborative research network includes prominent scientists such as Georges El Fakhri, Marc David Normandin, and Nicolas Guehl. Her work spans from basic radiopharmaceutical chemistry through preclinical validation to clinical applications, demonstrating a comprehensive translational research approach.

Xue HanView profile

Professor

• Neurotechnology
• Neural Prosthetics
• Optogenetics
• +5 more

Xue Han is a Professor of Biomedical Engineering at Boston University (BU), affiliated with the Han Lab. His primary academic appointment is in the Biomedical Engineering department, with additional affiliations in Neuroscience & Neuroengineering, and Photonics & Optical Systems. He holds a PhD in Physiology from the University of Wisconsin-Madison and a B.S. in Biophysics from Beijing University, China. Dr. Han’s research focuses on addressing unmet medical needs in brain disorders by developing novel neuromodulation therapies. His work combines genetic, molecular, pharmacological, optical, and electrical tools to study neural circuit dynamics, with a particular emphasis on optogenetics and optical neural modulation. Key projects include pioneering light-based neuron silencing techniques and pre-clinical testing of neurotechnologies like transcranial ultrasound stimulation. His lab investigates how neural synchrony contributes to cognition and pathology, aiming to link neural activity to behaviors like movement, attention, and decision-making. His recent publications emphasize high-frequency electrical stimulation effects, membrane voltage imaging, and the impact of neuromodulation on brain rhythms. Notable themes include the role of PV neurons in cortical coding, ultrasound-based neuron activation, and the interplay between neural oscillations and disease states. While no formal awards are listed, his prolific output highlights contributions to neurotechnology and systems neuroscience. Dr. Han’s lab develops advanced imaging tools like targeted-illumination confocal microscopy (TICO) and collaborates on projects involving exosome-mediated therapies and brain-computer interfaces. Ongoing work explores translational applications of neurophotonic tools and the mechanistic basis of neuromodulation therapies for disorders like Parkinson’s and epilepsy.

• Behavioral Neuroscience
• Cognitive Neuroscience
• Neural Basis of Decision-Making
• +5 more

Scientia Professor Bernard Balleine is a leading academic in behavioral and cognitive neuroscience at the University of New South Wales (UNSW Sydney) , affiliated with the School of Psychology . His career spans prestigious institutions including the University of Cambridge, University of California, Los Angeles (UCLA), and the University of Sydney. He has held senior research fellowships (e.g., NHMRC, NIMH) and directed research at UCLA’s Brain Research Institute. Education: BA (1st class honours, University Medal, University of Sydney, 1988), PhD (University of Cambridge, 1992) Research Interests: Balleine’s work focuses on the neural bases of goal-directed action, habit formation, and decision-making, with a strong emphasis on corticostriatal circuits, dopamine signaling, and motivational systems. His studies explore how predictive learning, reward processing, and neural plasticity interact to shape behavior, particularly in psychiatric and neurodegenerative disorders (e.g., addiction, OCD, Alzheimer’s). Scientific Trends: Recent publications analyze striatal dopamine dynamics, thalamostriatal pathways, and genetic models of cognitive dysfunction. His 2024 work highlights neural circuits governing action selection, while 2023 studies link TBI to apathy and Alzheimer’s to goal-directed impairments. Awards: Fellow of the American Psychological Association (2004), Australian Laureate Fellowship (2009), NHMRC Senior Principal Research Fellow (2015), NIMH Senior Investigator (2020) Grants & Collaborations: Funded by the Australian Research Council and NHMRC, with interdisciplinary collaborations in neuroethics, addiction studies, and cognitive neuropsychology. His lab integrates molecular, behavioral, and computational approaches to investigate neural mechanisms of action control.