Johan Lind is a senior associate professor in ethology at Linköping University and deputy director of the Centre for Cultural Evolution at Stockholm University. His research focuses on the evolutionary mechanisms underlying animal and human cognitive capacities, particularly in memory, associative learning, and cultural development. He has held postdoctoral and visiting fellowships at St Andrews University and Cambridge University, respectively. Key Research Areas: Cognitive evolution, associative learning, human cultural uniqueness, and behavioral ecology Notable Contributions: Critique of Dunbar's number, development of A-learning theory, analysis of sequence representation in cognition Scientific Awards: No explicit awards mentioned in the provided texts. Collaborations: Regular collaborator with Stefano Ghirlanda and Magnus Enquist on associative learning models and cognitive evolution.
Huib Mansvelder is a Full Professor at the Vrije Universiteit Amsterdam, leading the Department of Integrative Neurophysiology within the Faculty of Science. He is also affiliated with Amsterdam Neuroscience - Cellular & Molecular Mechanisms. His research focuses on prefrontal cortex function, neuronal microcircuits in human neocortex, and synaptic mechanisms underlying cognition. Mansvelder holds a PhD in Neurophysiology from Vrije Universiteit Amsterdam (1999) and completed postdoctoral training at the University of Chicago and Columbia University. He has published over 205 research articles and supervised 49 PhD theses. Currently, he serves as a guest researcher at the University of Aachen (2024-2025). Education: PhD in Neurophysiology, Vrije Universiteit Amsterdam (1999) Postdoctoral Research: University of Chicago (dopamine neurons) and Columbia University (dendritic calcium dynamics) Research Interests: Prefrontal cortex attention mechanisms, human neocortical organization, synaptic plasticity, and neurophysiological correlates of cognition. His lab combines electrophysiology, optogenetics, and human post-mortem tissue analysis to study brain circuitry. Collaborations & Impact: Mansvelder’s work addresses UN Sustainable Development Goals related to health and well-being. Recent studies explore astrocyte roles in neurological disorders (e.g., MLC), synaptic communication in human neurons, and therapeutic interventions in Alzheimer’s disease. Awards & Recognition: No specific awards listed, but his extensive publications and leadership roles highlight scholarly impact. Labs & Teams: Heads the Integrative Neurophysiology lab at VU Amsterdam, collaborating with international researchers on projects involving human brain slice cultures, synaptic dynamics, and cognitive neuroscience.
Diego Mendoza Halliday is an Assistant Professor in the Department of Neuroscience at the University of Pittsburgh and Principal Investigator of the Mendoza-Halliday Lab. He holds affiliations with the Center for the Neural Basis of Cognition (CNBC), a joint venture between the University of Pittsburgh and Carnegie Mellon University (CMU), and is a Research Affiliate at MIT's McGovern Institute for Brain Research. Previously, he served as a Postdoctoral Fellow and Research Scientist at MIT under Dr. Robert Desimone. His education includes a Ph.D. in Cognitive Neurophysiology from McGill University (2014) and postdoctoral training at MIT. His research focuses on understanding the neural mechanisms underlying working memory manipulation, particularly how neurons and microcircuits across brain regions dynamically transform and monitor mental representations. Techniques employed include high-density laminar electrophysiology and custom optogenetic tools to study cognitive functions like attention and decision-making. Key research themes include neuronal substrates of visual attention and working memory, spectrolaminar cortical organization, and optogenetic innovation. Recent work highlights dissociable neural pathways for attention and memory and universal cortical layer-specific activity patterns. His lab's interdisciplinary approach bridges electrophysiology, optogenetics, and computational modeling to uncover foundational mechanisms of human cognition. Notable contributions include developing ultra-sensitive optogenetic opsins and revealing laminar-specific neural dynamics across primate cortex. Awards and honors are not explicitly listed in available texts, but his work has been published in top-tier journals like Neuron and Nature Neuroscience .
Dr. Gideon Rothschild is an Assistant Professor of Psychology at the University of Michigan. He holds an adjunct position in Otolaryngology–Head and Neck Surgery. His research explores neural circuit mechanisms linking sensation and memory, using neurophysiological and optical techniques in rodent models. He completed his B.Sc. in computer science and computational biology at the Hebrew University of Jerusalem, followed by a Ph.D. in neuroscience in 2012. Postdoctoral work at UCSF under Loren Frank focused on auditory cortex-hippocampus interactions during memory processes. His lab investigates how sensory experiences and memories interact, particularly in the neocortex and hippocampus. Key projects include studying auditory cortical-striatal circuits for sound-triggered predictions, sleep's role in memory consolidation, and the impact of sensory inputs during sleep. The lab employs electrophysiology, optogenetics, and behavioral assays to dissect these processes. Recent publications emphasize neural synchronization, cortico-striatal pathways, and the effects of sensory interference on memory. The Rothschild Lab actively recruits graduate students and postdocs to advance these studies. His work bridges computational neuroscience with experimental neurophysiology, aiming to uncover fundamental principles of brain function in health and disease.
Kathie Louise Eagleson is an Associate Professor in Pediatrics and Neurology at the University of Southern California. Her research focuses on neurodevelopmental mechanisms, particularly the role of the MET receptor tyrosine kinase in synaptic development, autism spectrum disorders, and neurodevelopmental disorders. She investigates molecular pathways governing brain circuit formation and the impact of genetic mutations on synapse formation and function. Her work integrates proteomics, developmental neurobiology, and animal models to explore how environmental and genetic factors influence neural circuitry. Key areas include the interplay between MET receptor signaling and synaptic plasticity, early-life stress effects on mitochondrial function, and the molecular underpinnings of fear memory emergence in mice. Dr. Eagleson’s publications span over three decades, demonstrating continuity in studying neurodevelopmental processes across scales—from cellular signaling to behavioral outcomes. Her research bridges basic science and clinical applications, aiming to identify therapeutic targets for neurodevelopmental disorders.
Prof. Anna Schroeder is a tenure-track Assistant Professor (W2) of Systemic Neuroscience at Ludwig Maximilian University (LMU) Munich. She leads the Schroeder Lab, focusing on neural circuit mechanisms underlying internal state-driven behavioral flexibility and developing neuromodulation therapies for psychiatric diseases. Her research integrates advanced molecular, cellular, and circuit-level techniques with machine learning in mouse models. Affiliations: Faculty of Biology (Division of Neurobiology), Munich Center for Neurosciences, Bernstein Center for Computational Neuroscience Education: B.A. (University of Chicago), M.Sc. (Charité), Ph.D. (KU Leuven), Postdoc (Max Planck Institute) Her research explores how emotions, motivations, and physiological needs are processed in the zona incerta and how these influence adaptive behavior. Key methodologies include 2-photon imaging, optogenetics, and behavioral paradigms. Awards: ERC Starting Grant (2025-2030), BBRF Young Investigator Award, Marie Skłodowska-Curie Fellowship. Advising & Grants: Supervised multiple students (e.g., Aseem Gidwani, Shambhavi Phadnis). Funded by ERC, Boehringer Ingelheim, and DFG. Labs/Teams: Collaborates across institutions and mentors women in science through initiatives like L'Oréal-UNESCO For Women in Science.
Mark Harnett is an Associate Professor and Graduate Officer in the Department of Brain and Cognitive Sciences at MIT's McGovern Institute. His research focuses on how biophysical features of neurons (e.g., ion channels, dendrites) enable neural circuits to perform computations underlying behavior. He leads the Harnett Lab, which pioneered studies on human dendritic physiology and spatial navigation computations. Key areas include synaptic plasticity, dendritic integration, and neural circuit dynamics. Research interests center on linking cellular biophysics to circuit-level computations. Notable projects include describing human dendritic physiology, investigating silent synapses in adult neocortex, and developing tools like ONIX for multimodal neural recording. His work bridges electrophysiology, imaging, and computational modeling to understand how neurons encode spatial variables and adapt to environmental changes. Publications emphasize cortical neuron properties, synaptic mechanisms, and experimental platforms. While no explicit awards are listed, his contributions to neuroscience methodologies and discoveries in dendritic function are internationally recognized. The lab emphasizes diversity and inclusion, fostering collaborative environments for scientific innovation.
Prof. Anton Sirota is a Professor and Research Group Leader at the LMU Division of Neurobiology and a member of the Bernstein Center for Computational Neuroscience (BCCN Munich). He leads the MSc Neuroscience Examination Committee and is a full member of the Graduate School of Neural and Behavioral Sciences (GSN). His research focuses on mechanisms of information representation and propagation in cortical networks, particularly between the neocortex and hippocampus during learning and sleep. He employs advanced techniques including multichannel electrophysiology, optogenetics, and virtual reality to study neural dynamics in behaving rats. His lab uses graphene-based sensors and multiplexed neural probes for high-resolution brain mapping. Research Interests: Neurophysiological mechanisms of learning and memory consolidation Cortico-hippocampal network dynamics Neural oscillations and their role in information transfer Development of neurotechnologies for brain activity recording (e.g., graphene sensors, SiNAPS probes) Role of respiration in coordinating neural networks Advising: Current advisee Arash Shahidi . Graduated students include Dr. Nicholas Del Grosso , Dr. Andrey Sobolev , Dr. Elena Itzcovich , and Fabián Štoček . Labs/Teams: Active in the Cognitive Neurophysiology Lab , leveraging cutting-edge tools like multishank silicon probes and optogenetic modulation. Collaborates on projects involving virtual reality systems for rodent behavior studies and computational modeling of neural networks.
Xinzhu Yu is an Assistant Professor of Molecular & Integrative Physiology at the University of Illinois, affiliated with the School of Molecular & Cellular Biology and the Beckman Institute. His research focuses on astrocyte contributions to neural circuits, behaviors, and neurological disorders, using advanced techniques like in vivo imaging and genetic tools. **Education**: B.S., M.S. (Tsinghua University), Ph.D. (University of California Santa Cruz), Postdocs at UC Santa Cruz and UCLA. **Research Interests**: Astrocyte physiology, synaptic plasticity, motor learning, neuropsychiatric disorders, and neurodegenerative diseases. His lab explores how astrocytes influence neural circuits and behaviors, aiming to identify biomarkers and therapeutic targets for diseases like Alzheimer's and Fragile X Syndrome. **Awards**: NIH BRAIN Initiative Travel Award (2019), UCLA Brain Research Institute Postdoctoral Award (2018–2019), American Heart Association Fellowship (2016–2017). **Grants & Labs**: Leads the Yu Lab, collaborating on projects funded by NIH and other agencies. Research integrates molecular, cellular, and systems neuroscience approaches.
Serena Bovetti serves as Associate Professor in the Department of Life Sciences and Systems Biology at the University of Turin, Italy. Her research integrates advanced optical techniques with cellular neuroscience to investigate neural circuit dynamics and adult neurogenesis, primarily within the olfactory system and neocortex. Her primary research interests encompass adult-born neuron integration in olfactory circuits, molecular mechanisms of neural plasticity, and the development of cutting-edge two-photon imaging methodologies. She specializes in patterned illumination techniques, optogenetic manipulation, and microendoscopic approaches for high-resolution in vivo brain imaging. Her work bridges molecular neuroscience with systems-level circuit analysis to understand how sensory experience shapes neural network organization. Analysis of her recent publications reveals a consistent focus on developing and applying optical tools to dissect neural circuit function. Her research demonstrates strong interdisciplinary integration between biomedical engineering and neuroscience, with particular emphasis on cortical state transitions, inhibitory circuit control, and experience-dependent plasticity in adult-born neurons. The work spans cellular, circuit, and systems neuroscience levels. No scientific awards were explicitly documented in the provided materials. Dr. Bovetti leads the Adult Neurogenesis research group and participates in the PRIN PNRR 2022 DELIMIT project (Discovering the Effectors of Lifestyle-driven Memory enhancement via Inflammation). While specific students aren't listed, her extensive publication record with junior co-authors indicates active mentorship of graduate researchers. She serves on the Departmental Council and teaches Comparative Anatomy courses across multiple biology degree programs. Her laboratory develops and applies advanced optical techniques including two-photon microscopy, patterned illumination systems, and microendoscopic platforms. The research team collaborates extensively on interdisciplinary projects involving neural circuit mapping, optogenetic control, and the molecular regulation of adult neurogenesis, with particular focus on the olfactory bulb as a model system for neuroplasticity studies.
Sacha Nelson is the Gyula and Katica Tauber Professor of Life Science in the Department of Biology at Brandeis University , with affiliations to the Neuroscience Program and the Benjamin and Mae Volen National Center for Complex Systems . His research focuses on physiological genomics of the mammalian neocortex , examining how genetic and epigenetic mechanisms maintain neuronal identity and connectivity in both healthy and disease states. Education : MD/PhD from University of California, San Diego; BA/BS from Brown University Nelson employs genetic, genomic, and electrophysiological approaches to study cortical development, function, and disease models. His work has implications for autism spectrum disorders, epilepsy, schizophrenia, and Alzheimer’s disease , with a focus on molecular mechanisms of circuit homeostasis and activity-dependent transcription . Recent publications emphasize transcriptional regulation in neocortical maturation, synaptic plasticity under activity deprivation, and molecular architecture of thalamic pathways. Key themes include neuronal identity , chromatin accessibility , and gene expression constraints in cortical networks. Scientific Awards : HHMI Senior Fellowship, GEAR Award, Henry Strage Award, Sloan Foundation Research Fellowship, NIH Postdoctoral Fellowship Nelson's work bridges molecular neuroscience and circuit physiology , contributing to understanding both normal sensory processing and disease-altered cortical function . His research team utilizes mouse models and genomic tools to explore these fundamental neurobiological questions.
Guillaume Etter is a Researcher at the Faculty of Science and Engineering , University of Groningen , affiliated with the Groningen Institute for Evolutionary Life Sciences . His work bridges neuroscience and artificial intelligence , focusing on learning and memory mechanisms in neural circuits. Education : PhD in Neuroscience (2017) from the University of Strasbourg, supported by the Ministry of Education and Research and the Fondation pour la Recherche Médicale. Postdoctoral training at McGill University (miniaturized head-mounted microscopes) and Quebec Institute of AI (MILA) (AI models inspired by neocortex architecture). Research Interests : Microcircuit dynamics of excitatory and inhibitory neurons in synaptic weight updating. Applying biological neural network insights to artificial intelligence (especially lifelong learning ). Developing predictive methods for neurodegenerative disorders (e.g., Alzheimer’s disease) using combined neuroscience and AI approaches. Articles Trends His publications focus on optogenetics , hippocampal circuits , and memory disorders , with recent work on REM sleep reactivations (2024), theta/gamma oscillations (2023–2024), and seizure modulation (2022–2023). Topics span neural coding , spatiotemporal dynamics , and therapeutic applications for Alzheimer’s. Scientific Awards Amii Emerging Talent Award (2023, 2022). Open Science in Action (2020). Roger J Paiement Award (2017, 2016). Expertise includes deep learning , reinforcement learning , in vivo calcium imaging , electrophysiology , and optogenetics . He contributes to UN Sustainable Development Goals related to healthcare and neurodegenerative diseases .
Dennis Pauls is a Research Professor in the Department of Animal and Behavioral Physiology at the Institute of Biology, University of Leipzig. He leads his own research group (PAULS LAB) focusing on neurobiological mechanisms underlying behavior, memory formation, and decision-making processes, primarily using Drosophila as a model organism. His work bridges molecular neuroscience, behavioral physiology, and systems neuroscience to understand fundamental neural processes. Dr. Pauls completed his biology studies (Diplom) at the University of Gießen and University of Würzburg (2001-2006), followed by a PhD (Dr. rer. nat.) at the University of Fribourg, Switzerland (2006-2010). He conducted postdoctoral research at the University of Marburg (2010-2011) before becoming a scientific staff member and later group leader at the Theodor-Boveri Institute, University of Würzburg (2011-2019). Since July 2019, he has been a group leader at the University of Leipzig, and completed his Habilitation (Dr. rer. nat. habil, PD) in December 2020. His research focuses on two primary areas: (1) the integration of time in memories, investigating how essential information is encoded as lasting physical changes through synaptic plasticity, and (2) the neurometabolic mechanisms underlying poor food decisions, exploring how animals overcome innate aversions to potentially harmful foods under hunger conditions. His laboratory employs neuro- and optogenetic approaches, electrophysiology, behavioral analyses, and high-resolution light microscopy to address these questions. Analysis of Dr. Pauls' recent publications reveals a strong emphasis on octopamine signaling in learning and memory circuits, time integration mechanisms in neural systems, and the metabolic regulation of feeding behavior. His work demonstrates how neuromodulators influence memory formation, how temporal information is incorporated into neural representations, and how metabolic states affect decision-making processes in Drosophila models. Dr. Pauls currently leads three major DFG-funded research projects: (1) The function of octopamine in reward processing in Drosophila larvae (2019-2023), (2) Neurobiological foundations of integrating time into memories (2023-2026), and (3) Metabolic signatures and neurophysiological mechanisms of poor food intake decisions (2024-2027). He collaborates extensively with the Kittel Lab and other neuroscience groups at the University of Leipzig, contributing to the NeuroTune Graduate School and other interdisciplinary initiatives focused on brain dynamics and neurological disorders. His laboratory is part of the Integrated Research and Treatment Center (IFB) for Adiposity-Related Disorders for his research on food decision-making, demonstrating the translational potential of his basic neuroscience research. Dr. Pauls' work provides fundamental insights into neural circuit function with implications for understanding memory disorders and eating behaviors in humans.
Matthias Kaschube is a Professor in the Faculty of Computer Science and Mathematics at Goethe University Frankfurt and a Senior Fellow at the Frankfurt Institute for Advanced Studies (FIAS). His research group focuses on understanding how the brain forms efficient representations of sensory environments and internal states through dynamic neural processes. He maintains active collaborations with leading neuroscience institutions including the University of Minnesota, Max Planck Florida Institute for Neuroscience, and Technion. Dr. Kaschube completed his physics studies at Goethe University Frankfurt and Georg-August-University Göttingen, graduating in 2000 and earning his doctoral degree in physics in 2005. His doctoral work was conducted at the Max Planck Institute for Dynamics and Self-Organization under Fred Wolf and Theo Geisel. He then held a Bernstein Fellowship before becoming a Theory Fellow at Princeton University's Lewis Sigler Institute from 2006-2011. In 2011, he joined Goethe University as Professor for Computational Neuroscience. His research spans four primary areas: the developmental emergence of cortical representations, flexible representations underlying learning and creativity, cognitive maps and representational spaces, and analysis methods for neural data. His group combines dynamic models of neural circuit function with neural data modeling techniques in close collaboration with experimental groups, creating an interdisciplinary interface between computer science, physics, biology, and AI. Notably, his work has revealed highly structured cortical networks prior to sensory experience that share similar architectural principles across sensory and association cortices. Analysis of his recent publications shows a consistent focus on understanding how endogenous neural activity patterns develop into reliable cortical representations through experience. His work spans multiple scales from molecular and cellular mechanisms to whole-brain functional organization, with particular emphasis on developmental processes in visual and auditory cortices. His methodological contributions include advanced techniques for analyzing chronic imaging data, tracking chromatophores in cuttlefish, and characterizing latent spaces in deep neural networks. Lewis Sigler Theory Fellowship (2006-2011) Bernstein Fellowship (2005) Professor Kaschube actively mentors a large group of PhD students including Lorenzo Butti, Jonas Elpelt, Santiago Galella, Deyue Kong, Maurycy Miekus, Ana Pamela Osuna Vargas, and Sigrid Trägenap. His research has been supported by multiple grants including NIH grants EY011488 and EY026273, Bernstein Focus Neurotechnology grant 01GQ0840, and BMBF project D-USA-Verbund: SpontVision. His group currently pursues three major research directions: the origin of distributed modular activity in neocortex, quantitative growth models for cuttlefish based on physical models, and the role of self-organization in linking endogenous cortical networks to sensory input.
