Find Academic Supervisors

• Neuroscience
• Cortical Microcircuitry
• Sensory Processing
• +4 more

Randy Bruno is Professor of Neuroscience at the University of Oxford, where he serves as a Tutorial Fellow at St Peter's College. He leads the Bruno Group within the Department of Physiology, Anatomy and Genetics (DPAG) in the Medical Sciences Division. His research focuses on understanding cortical microcircuitry and computation, particularly how different layers of the neocortex contribute to sensory perception, learning, and decision making. Bruno's lab primarily uses the rodent whisker-barrel system as a model to investigate these questions, as rodents rely predominantly on whisker-mediated touch to explore their world. The lab employs a multidisciplinary approach combining intracellular physiology, cellular imaging, optogenetics, computational modeling, and behavioral experiments. Recent publications (2021-2024) demonstrate a strong focus on dendritic computation, attentional mechanisms, cross-sensory integration, and the roles of different cortical layers in sensory processing and learning. His work spans from basic neural mechanisms to potential implications for understanding mental disorders that affect cortical circuits. The Bruno Group includes multiple postdoctoral researchers, research assistants, and graduate students working collaboratively. Current team members include Madison Bartley, Dahee Jang, Candice Lee, Ziyue Liu, Katy Willard, Hadas Sloin, Isabella Febbo, and Soumen Jana. His publications have received significant attention across academic and social media platforms, with multiple papers highlighted by news outlets and shared widely among researchers.

Ryoma HattoriView profile

Assistant Professor

• Reinforcement Learning
• Decision Making
• Number Sense
• +4 more

Ryoma Hattori is an Assistant Professor at the University of Florida, based at the UF Scripps Biomedical Research campus in Jupiter, FL. His laboratory, the Hattori Lab, focuses on neural mechanisms underlying cognitive functions, learning, and their disruption in autism. Dr. Hattori received his educational degrees from prestigious institutions: Ph.D. in Molecular and Cellular Biology from Harvard University (2016) A.M. in Molecular and Cellular Biology from Harvard University (2012) B.S. in Biophysics and Biochemistry from the University of Tokyo (2010) His research interests center on decision making, reinforcement learning, and number sense, using systems and computational approaches. The lab employs techniques such as in vivo 2-photon imaging, optogenetics, virtual reality behaviors, and machine learning to investigate neural activity and plasticity dynamics in mice. A significant focus is understanding how these processes are impaired in autism spectrum disorder. Analysis of his recent publications reveals a strong emphasis on computational neuroscience and neural circuit mechanisms. His work spans from developing advanced imaging and analysis tools to uncovering fundamental principles of value coding and meta-reinforcement learning, with applications in both basic neuroscience and artificial intelligence. Dr. Hattori has received numerous scientific awards, including: Outstanding Mentor Award 2025 from Society of Research Fellows, UF Scripps SFARI Bridge-to-Independence Award 2022-Current from Simons Foundation Warren Alpert Distinguished Scholar Award 2021-2024 from Warren Alpert Foundation Postdoctoral Grant Award 2021-2022 from The KANAE Foundation And several fellowships during his postdoctoral and graduate training. As a principal investigator, Dr. Hattori leads multiple active grants, including the Shenoy Undergraduate Research Fellowship in Neuroscience (2025-2026) and a project on "Neural activity and plasticity dynamics for reinforcement learning in autism" funded by the Simons Foundation. His mentorship has been recognized with the Outstanding Mentor Award. The Hattori Lab is a dynamic research group utilizing cutting-edge technologies to explore the neural basis of cognition, with a particular interest in translational implications for autism and related disorders.

Onur GüntürkünView profile

Professor

• Cognitive Neuroscience
• Comparative Cognition
• Avian Cognition
• +5 more

Onur Güntürkün serves as Professor for Psychology at Ruhr University Bochum and holds a Permanent Fellowship at the Wissenschaftskolleg zu Berlin (Institute for Advanced Study). His academic career spans decades of pioneering research in comparative cognition, with a focus on evolutionary parallels between avian and mammalian cognitive systems. As a Permanent Fellow, he leads the "One Cognition" project investigating convergent evolution of cognitive abilities across species with vastly different neuroanatomies. Academic Background: Diploma in Psychology, Ruhr University Bochum Dr. phil. in Psychology, Ruhr University Bochum Güntürkün's research centers on the paradox of equivalent cognitive abilities emerging from radically different neural architectures—specifically how birds with tiny brains (3-25g) and no neocortex achieve cognitive feats matching chimpanzees. His work demonstrates that corvids and parrots exhibit identical cognitive capabilities to primates in working memory, problem-solving, and social cognition. He investigates whether algorithmic constraints or neural implementation bottlenecks drive this convergence, using working memory as a model system due to its well-defined parameters across species. His experimental approach integrates behavioral studies with neural circuit analysis to uncover universal principles of cognitive evolution. Analysis of his publication history reveals a consistent trajectory from foundational neuroanatomical studies toward theoretical frameworks for cognitive convergence. The most recent works (2021-2024) emphasize circuit-level homologies between avian pallium and mammalian neocortex, while earlier publications established birds as valid models for complex cognition. Key thematic clusters include neural lateralization mechanisms, sensory modality effects on cognition, and evolutionary constraints on information processing. His 2024 Trends in Cognitive Sciences paper synthesizes two decades of evidence showing birds solve mental problems using cognitive mechanisms nearly identical to mammals despite 300 million years of divergent evolution. Professional Recognition: Honorary Doctorate (Dr. h.c.) Güntürkün actively contributes to scientific discourse through invited colloquia, including an upcoming presentation at Wiko on November 25, 2025. While specific grant details aren't documented in the source material, his sustained research output and leadership in major projects indicate significant funding acquisition. His work bridges neuroscience, evolutionary biology, and cognitive psychology, fostering interdisciplinary collaborations evident in co-authored publications with researchers from diverse fields. As Principal Investigator of the "One Cognition" project, Güntürkün directs a research initiative examining why evolution repeatedly produces similar cognitive solutions across phylogenetically distant species. This work involves comparative analysis of neural circuits across avian and mammalian models, with particular focus on working memory constraints and neural implementation strategies. His laboratory at Ruhr University Bochum collaborates with international teams studying bird cognition, contributing to the growing paradigm shift recognizing avian intelligence as a powerful model for understanding universal cognitive principles.

Michael MillerView profile

Professor

• Medical Imaging
• Computational Anatomy
• Pattern Theory
• +3 more

Michael I. Miller is the Bessie Darling Massey Professor and director of the Department of Biomedical Engineering at Johns Hopkins University (JHU), where he also leads the Center for Imaging Science and co-directs the Kavli Neuroscience Discovery Institute. His work focuses on computational medicine, medical imaging, and computational anatomy, particularly in neurodegenerative diseases like Alzheimer’s, Huntington’s, and schizophrenia. Miller has pioneered cloud-based methods for brain image libraries and algorithms, co-founded four startups, and holds over 200 publications and two textbooks. He earned his BS from SUNY Stony Brook (1976) and MS/PhD from JHU (1978/1983). Education: Bachelor of Science, State University of New York at Stony Brook, 1976 Master of Science, Johns Hopkins University, 1978 Doctor of Philosophy, Johns Hopkins University, 1983 Research Interests: Miller’s research integrates advanced imaging technologies to study brain structure and function in health/disease. Key areas include: Functional and structural analysis of neurodegenerative diseases Development of computational tools for early disease detection Multiscale data integration (molecular to tissue) Translational applications in clinical diagnostics Awards: IEEE Biomedical Engineering Thesis Award (1982) Johns Hopkins Paul Ehrlich Thesis Award (1983) NSF Presidential Young Investigator Award (1986) Johns Hopkins Gilman Scholar (2011) Fellow, American Institute for Medical and Biological Engineering Labs/Teams: His lab at JHU develops cloud-based imaging tools and collaborates on translational research. Projects include the xIV-LDDMM Toolkit and STalign spatial transcriptomics alignment software.

Judith ParidaenView profile

Researcher

• Cell Biology
• Developmental Biology
• Neurosciences
• +3 more

Dr. Judith Paridaen is a Scientific Coordinator at the CogniGron initiative within the Faculty of Science and Engineering at the University of Groningen. She holds a PhD from Utrecht University (2009) and completed postdoctoral research at the Max Planck Institute for Molecular Cell Biology and Genetics in Dresden. Her work focuses on neural stem cell biology , investigating how stem cells make division and fate decisions during brain development using zebrafish and mouse models. Research interests include: Asymmetric cell division mechanisms Role of subcellular structures (centrosomes, cilia) in neurogenesis Stem cell fate decisions in developing and adult tissues Single-cell genomics and lineage tracing techniques Key achievements include: Rosalind Franklin Fellowship (2016) NWO-Vidi Grant (2017) Member of Young Academy Groningen (2019) Teaching responsibilities include coordinating the Current Themes in Healthy Ageing course and supervising research projects in M.Sc. programs. Her lab actively seeks motivated students for collaborative research projects.

Bing YeView profile

Professor

• Neuroscience
• Neurodevelopment
• Neurodevelopmental Disorders
• +4 more

Bing Ye is the Burton L. Baker Collegiate Professor of the Life Sciences at the University of Michigan. He holds academic roles across multiple institutions: Research Associate Dean at the U-M Life Sciences Institute (LSI), Research Professor at LSI, Professor of Cell and Developmental Biology at the U-M Medical School, and Adjunct Professor in the Department of Molecular, Cellular, and Developmental Biology (MCDB) within the College of Literature, Science, and the Arts (LSA). His research focuses on neuronal development and its impact on nervous system assembly, with a particular emphasis on understanding how defects in this process lead to brain disorders like Down syndrome. He employs a multidisciplinary approach integrating genetics, cell biology, biochemistry, advanced imaging, electrophysiology, computational methods (including machine learning), and behavioral studies. Notably, his lab developed LabGym, an AI-based tool for analyzing animal behavior across species. Bing Ye has a robust educational background: B.S. in Physiology (Nanjing University), M.S. in Neurobiology (Chinese Academy of Sciences), Ph.D. in Neuroscience (Johns Hopkins), and postdoctoral training at UCSF. He is committed to mentoring, training future scientists, and promoting inclusivity in science. His awards include Pew Scholar (2010), Kavli Fellow (2012), and AAAS Fellow (2021). He serves on editorial boards for journals like PLOS Biology and is affiliated with multiple institutes, including the Michigan Neuroscience Institute and the Kresge Hearing Research Institute. His lab actively seeks postdoctoral researchers to advance AI-driven behavior analysis and mouse models of neural disorders.

Dominique PritchettView profile

Assistant Professor

• Neuroscience
• Learning and Memory
• Cerebellum
• +3 more

Dominique Pritchett is an Assistant Professor in the Department of Biology at Howard University, affiliated with the College of Arts & Sciences. His research focuses on neural mechanisms underlying associative learning, particularly in the cerebellum, exploring synaptic plasticity and functional connections with the neocortex and basal ganglia. He employs optogenetics and electrophysiological techniques in his studies. Education: B.S. from Virginia State University (2004), Ph.D. from Massachusetts Institute of Technology (2012). Research Interests: Cerebellar circuitry and learning Synaptic plasticity and oscillations Neurobiological basis of cognitive functions Publications highlight advancements in understanding gamma-band oscillations, NMDA receptor roles, and cerebellar-basal ganglia interactions. Recent work emphasizes hippocampal network dynamics and auditory cortex connectivity in bats. No scientific awards explicitly noted. No advising/grant details provided in texts. Research lab focuses on cerebellar learning mechanisms and neural oscillation studies.

Anders LansnerView profile

Professor

• Computational Neuroscience
• Neuromorphic Engineering
• Brain-like Computing
• +4 more

Anders Lansner is a Professor of Computer Science at Stockholm University and holds an affiliated professorship at KTH Royal Institute of Technology. He leads the Lansner Lab (Computational Biology and Neurocomputing) at the Department of Computational Science and Technology (CST) within the School of Computer Science and Communication (CSC) at KTH. His research focuses on computational neuroscience and brain-like computing, emphasizing mathematical and computational models of neuronal networks in the neocortex and basal ganglia. Key projects include developing neuromorphic algorithms for supercomputers and FPGA-based hardware implementations. Lansner manages the computational neuroscience platform for the Stockholm Brain Institute (SBI) and the neuroinformatics platform for StratNeuro (Karolinska Institutet). His lab contributes to EU projects such as FACETS and NEUROChem, and collaborates with KTH’s Electronics Department on modular brain-inspired FPGA designs. Research interests span synaptic plasticity mechanisms, memory systems (episodic, semantic, and working memory), and applications in neuromorphic computing. He supervises graduate students and teaches courses in computational neuroscience. Lansner’s work bridges theoretical neuroscience with engineering, aiming to advance brain-inspired AI and hardware systems. His lab’s StreamBrain framework supports heterogeneous computing architectures for brain-like neural networks. Notable collaborations include cross-disciplinary efforts in neuromorphic hardware development (e.g., memristor-based learning engines) and olfactory system modeling. Lansner’s research addresses both fundamental brain mechanisms and technical applications in data analysis and neurorobotics.

• Neuroscience
• Synaptic Plasticity
• Neurophysiology
• +3 more

Maximilian Lenz is a Professor at the University of Freiburg's Faculty of Medicine, affiliated with the Institute of Anatomy and Cell Biology. His research focuses on neural plasticity, brain stimulation, and neurophysiological mechanisms, with emphasis on synaptic adaptation and neural network dynamics. Research interests include: Synaptic Plasticity : Homeostatic scaling, structural adaptations, and denervation-induced changes. Neurostimulation : Magnetic stimulation protocols (e.g., iTBS600) and neuromodulation platforms. Neuropathology : Stroke recovery, microglial responses, and inflammation-related synaptic alterations. His publications (15 most recent) predominantly explore plasticity mechanisms across rodent and human neural tissues, with methodological innovations in slice-culture models and transcriptomic/proteomic analysis. Awards: Doctoral Prize of the Dr. Walter and Luise Freundlich Foundation (2018) Advising & Collaborations: He mentors doctoral candidates (e.g., Kruse, Pia) and collaborates on interdisciplinary projects involving neuroengineering, molecular biology, and clinical neuroscience.

Michael J. ZillerView profile

Professor

• Functional Genomics
• Psychiatric Genetics
• Neurobiology of Mental Illness
• +3 more

Michael J. Ziller is a Professor at the Faculty of Medicine, University of Münster, affiliated with the Department of Psychiatry and Psychotherapy. He leads the Lab for Functional Genomics in Psychiatry and participates in the "Cells in Motion" research commission. Research Focus: Functional genomics, molecular mechanisms of psychiatric disorders (schizophrenia, bipolar disorder), and computational strategies for personalized medicine. Projects: Decoding polygenic risk architectures, modeling neuronal hyperexcitability, and developing machine learning methods for patient stratification. Funding: BMBF (Project DINGS), EKFS Schlüsselproject. The lab utilizes iPSC models, ChIP-Seq, ATAC-Seq, HiC, single-cell RNA-Seq, and Perturb-Seq to bridge genetic associations with neurobiological insights, aiming to identify drug targets and optimize treatment for psychiatric diseases.

Natalia GoriounovaView profile

Associate Professor

• Neuroscience
• Neurophysiology
• Synaptic Transmission
• +4 more

Dr. Natalia Goriounova is an Associate Professor at the Vrije Universiteit Amsterdam’s Faculty of Science, affiliated with the Integrative Neurophysiology department and Amsterdam Neuroscience (Cellular & Molecular Mechanisms, Systems & Network Neuroscience). Her research focuses on human cortical neuron diversity, synaptic mechanisms, and their roles in cognition and neurological disorders. She leads a multiscale project on IQ-excitability relationships in the human cortex and teaches advanced neuroscience courses. Her work bridges electrophysiology, transcriptomics, and morphological analysis to uncover human-specific neuronal adaptations. Key areas include interneuron diversity, voltage-gated ion channel properties, and synaptic plasticity in human neocortical circuits. Over 37 publications highlight contributions to understanding human brain evolution and cognitive correlates of neuronal properties. Notable recent findings include morpho-electric diversity in hippocampal neurons, human-specific fast-spiking neuron specializations, and genetic links to cognitive ability. She actively contributes to open science through datasets on neuronal properties and cortical evolution, with widespread academic impact.

Nereo KalebicView profile

Researcher

• Neurodevelopment
• Neurogenomics
• Cancer Biology
• +3 more

Nereo Kalebic is a Research Group Leader at the Centre for Neurogenomics, focusing on molecular and cell biological mechanisms underlying human neocortex development, its implications for neurodevelopmental disorders, and brain cancers. He holds a BSc in Molecular Biology from the University of Zagreb (2007) and a PhD from the European Molecular Biology Laboratory (EMBL) and the University of Heidelberg (2012). His postdoctoral research (2013-2019) at the Max Planck Institute explored neocortex development and evolution. Research interests include neural stem cell biology, glioblastoma stem cell mechanisms, and evolutionary aspects of cortical expansion. His group employs CRISPR/Cas9, advanced live imaging, and cerebral organoids to study these topics. Key projects involve identifying therapeutic targets in glioblastoma and understanding how developmental pathways contribute to neurodevelopmental disorders like Down syndrome. Publications highlight breakthroughs in mechanisms driving tumor growth, neurogenesis differences between humans and Neanderthals, and serotonin receptor roles in progenitor proliferation. The group also develops innovative imaging techniques, such as SOLIST for nanoscale tissue analysis. Advising includes mentoring PhD students (Carlotta Barelli, Ilaria Bertani, Emanuele Capra, Nikola Cokorac, Stefania Faletti) and postdoctoral researchers. Collaborative projects utilize ferret models and human primary samples to bridge basic research and clinical applications. Future work aims to dissect cancer-cell proliferation parallels with neural development and uncover evolutionary mechanisms shaping human cognitive abilities through neocortex expansion.

Mareike AlbertView profile

Professor

• Epigenetics
• Neural Development
• Neocortex Evolution
• +3 more

Mareike Albert is a Professor of Epigenomics of Neural Development at the Faculty of Biology, Center for Regenerative Therapies Dresden (CRTD), TU Dresden. Her research focuses on understanding the epigenetic mechanisms regulating neural stem cells during human neocortex development and evolution, with implications for neurodevelopmental disorders. She leads the Albert Group, which utilizes in vivo models and in vitro human iPSC-derived 3D brain organoids. Education: PhD (2008, Friedrich Miescher Institute, Basel), MSc (2003, Curtin University), Diploma (2001, Friedrich Schiller University) Positions: Professor (2024-), Research Group Leader (2019-), Staff Scientist (2013-2018, MPI-CBG) Her work explores neocortex evolution through species-specific gene regulatory elements like ARHGAP11B and NOTCH2NL, differential chromatin dynamics, and the role of epigenetic mis-regulation in neuropathologies. Recent publications investigate EPIREGULIN's role in primate-specific progenitor proliferation and CRISPR/Cas9-based epigenome manipulation. Research methodologies include: Human cortical organoid generation CRISPR/Cas9 genome/epigenome editing Single-cell epigenomic analysis (Epi-CyTOF) Multi-omics profiling (RNA-seq, ChIP-seq, ATAC-seq)

Shuting HanView profile

Research Fellow

• Neuroscience
• Cortical Dynamics
• Sensory Processing
• +3 more

Dr. Shuting Han leads a Junior Research Group at the University of Zurich under the Helmchen Lab, funded by the SNSF Ambizione Fellowship since 2024. She holds a Research Fellow position focusing on cortical dynamics underlying sensory processing and memory. Her research examines how distributed cortical areas interact during sensory processing and memory formation, utilizing multi-area two-photon calcium imaging, virtual reality behavior paradigms, electrophysiology, and advanced data analysis techniques. Key projects include investigating sensory representation in cortical areas, predictive processing in neural circuits, cortico-cortical interactions, memory consolidation across the neocortex, and developing high-throughput imaging methodologies. Her recent publications demonstrate expertise in cross-modal predictions, cortical microstates during consciousness alterations, and neural ensemble dynamics. She directs research on top-down predictive signals in neocortex and develops tools for volumetric neural imaging. SNSF Ambizione Fellowship Dr. Han mentors PhD students Maï Ly Leclair and Saidong Ma in the Helmchen Lab. Her group develops custom multi-area two-photon microscopes and applies machine learning for neural data analysis, bridging experimental neuroscience with computational approaches to decode cortical information processing.

• Neurology
• Neuroscience
• Neurophilosophy
• +4 more

Sultan Tarlacı is a Professor at Üsküdar University's Faculty of Medicine, Department of Neurology. He is also affiliated with the Department of Neuroscience and contributes to Psychology and Behavioral Sciences. A distinguished neurologist and neuroscientist, he specializes in clinical neurology, electrophysiology, and neurophilosophy, with a focus on neurogenic dysphagia, EEG/EMG analysis, and quantum neuroscience. He founded and serves as Editor-in-Chief of the International Journal of NeuroQuantology , which has been SCI/SCI-E indexed since 2008. Atatürk University (MD, 1995) Ege University (Neurology Specialization, 2001) Ege Sağlık Hospital (Associate Professor, 2011) Üsküdar University (Professor, 2018) His research bridges neurology , quantum neuroscience , and neurophilosophy , exploring consciousness, time perception, and brain-behavior relationships. Notably, he investigates neurological disorders (e.g., stroke, dysphagia) and quantum physics applications in cognitive neuroscience. His recent work includes EEG biomarkers , neuroimaging , and non-invasive brain stimulation for neurological rehabilitation. Over 40 of his neurology/neuroscience articles are in SCI journals, with over 2,500 citations. His work spans quantum neurobiology , dysphagia diagnostics , and neurological treatment mechanisms . Brain Research Association Research Incentive Award (2000) TÜBİTAK-Brain Research Association Research Incentive Award (2001) Sedat Simavi Health Sciences Award (2003) NeoCortex Student Community Award (2014) Best Poster Award (2021) Best Presentation Award (2024) ALS-Group RadiCUT Finalist (2024) He supervises over 45 postgraduate theses on topics ranging from ADHD and neuroimaging to social media impacts and moral judgment in trauma . As Editor-in-Chief of NeuroQuantology , he has shaped discourse on quantum neuroscience. His administrative roles include heading the Neuroscience Department (2019-2022) and serving on Üsküdar University's Application and Research Center.