جست‌وجوی استاد و پژوهشگر

Jeremiah Cohenمشاهده پروفایل

دانشیار مدعو

• Systems Neuroscience
• Cognitive Neuroscience
• Computational Neuroscience
• +۷ مورد دیگر

Jeremiah Cohen is an Adjunct Associate Professor of Neuroscience at The Johns Hopkins University School of Medicine and a Principal Scientist at the Allen Institute for Neural Dynamics in Seattle. He leads the Cohen Lab, which is affiliated with the Department of Neuroscience and the Brain Science Institute at Johns Hopkins, focusing on the neural circuits underlying reward, mood, and decision-making. His research lies at the intersection of systems, cognitive, and computational neuroscience, with a strong emphasis on neuromodulatory systems involving serotonin, dopamine, and norepinephrine. The lab investigates how these neurons—despite their small numbers—exert widespread influence over brain function and behavior. Using cell-type-specific tools, electrophysiology, imaging, and computational models in mice, the lab aims to uncover how monoaminergic circuits process rewards, punishments, and uncertainty to guide behavior. The 15 most recent publications reveal a consistent focus on reward and punishment processing, decision-making under uncertainty, neural coding of prediction errors, and the functional roles of serotonin and dopamine across multiple timescales. The work spans molecular, circuit, and systems levels, combining rigorous behavioral paradigms with advanced neural recording and modeling techniques. Key themes include neuromodulation, neural stability, and the transformation of sensory signals into motivated behavior. Scientific awards and grants supporting the lab include: Klingenstein-Simons Fellowship Award NARSAD Grant from the Brain & Behavior Research Foundation Whitehall Foundation Grant MQ Fellows Programme Grant National Institute on Drug Abuse (NIDA) Grant National Institute of Neurological Disorders and Stroke (NINDS) Grant as part of the Brain Initiative Dr. Cohen actively mentors a team of postdoctoral fellows and neuroscience graduate students, many of whom have gone on to prestigious positions in academia, medicine, and data science. The lab collaborates widely and has received continuous funding from federal and private sources, reflecting the significance and innovation of its research. The Cohen Lab is equipped to perform cutting-edge experiments in neural circuit function, including in vivo electrophysiology, behavioral analysis, and computational modeling.

Xinzhong Dongمشاهده پروفایل

استاد

• Pain Neuroscience
• Molecular Neuroscience
• Cellular Neuroscience
• +۷ مورد دیگر

Xinzhong Dong is a Professor in the Department of Neuroscience at Johns Hopkins University School of Medicine, with secondary appointments in Neurosurgery and Dermatology. He leads an active research laboratory focused on the molecular and genetic basis of pain and itch sensation. His research centers on Mas-related G-protein-coupled receptors (Mrgs) expressed in nociceptive sensory neurons. Using transgenic mouse models, molecular genetics, and in vivo imaging, his lab investigates how these receptors regulate pain, itch, and neuroimmune interactions. Key areas include chronic pain mechanisms, non-histaminergic pruritus, mast cell-sensory neuron crosstalk, and the role of sensory neurons in inflammation and infection. His recent publications (2024–2016) reveal a strong trend in identifying novel GPCRs involved in sensory pathophysiology, particularly in skin and immune interactions. Work spans from basic receptor characterization to translational implications for analgesic and anti-itch therapies. His lab has pioneered tools like the Pirt-GCaMP3 mouse for imaging sensory neuron activity. Professor, Department of Neuroscience, Johns Hopkins University School of Medicine Joint appointments in Neurosurgery and Dermatology Research focus: Molecular mechanisms of pain and itch Expertise in GPCRs, sensory neurons, neuroimmunology Developed key genetic tools for sensory neuron imaging Dong has mentored a large number of postdoctoral fellows and PhD students, many of whom have secured faculty positions or research roles at institutions including Washington University, Northwestern University, and NIH. While no specific awards are listed, his work has been published in top-tier journals such as Nature , Cell , Neuron , and Immunity , and featured in major media outlets. His lab continues to explore novel pathways in nociception and sensory biology, with implications for drug development. He maintains an active research program with current postdocs, PhD students, and staff. His laboratory is located in the Solomon H. Snyder Department of Neuroscience in Baltimore, MD.

Shreesh Mysoreمشاهده پروفایل

دانشیار

• Systems Neuroscience
• Computational Neuroscience
• Cognitive Neuroscience
• +۱۲ مورد دیگر

Shreesh Mysore is an Associate Professor in the Department of Psychological and Brain Sciences at Johns Hopkins University, with secondary appointments in the Department of Neuroscience and the Kavli Neuroscience Discovery Institute. He leads an interdisciplinary research program focused on the neural basis of attention, decision-making, and cognitive function. His educational background includes a PhD in Control and Dynamical Systems from Caltech, an MA in Mathematics from Penn State, an MS in Industrial Engineering from Penn State, and a B.Tech in Mechanical Engineering from IIT Madras. He completed postdoctoral training in Neurobiology at Stanford University. Dr. Mysore's research explores how neural circuits implement competitive selection for attention, using tools such as electrophysiology, calcium imaging, optogenetics, chemogenetics, and computational modeling in freely behaving animals. His lab investigates fundamental principles of neural computation across species and aims to uncover mechanisms relevant to psychiatric disorders like ADHD, autism, and schizophrenia. He also explores bio-inspired artificial intelligence. His recent publications reveal a strong focus on inhibitory circuit motifs in the midbrain and brainstem, particularly how they enable categorical stimulus selection and attentional control. The work spans systems, computational, and behavioral neuroscience, with frequent appearances in high-impact journals such as Nature Communications , eLife , and Cell Reports . A recurring theme is the discovery of canonical circuit principles underlying cognitive functions. NSF CAREER Award NIH R01 (NEI) NIH R21 (NIMH) OneNeuro Discovery Award, JHU Trainee awards: NIH F32, NSF GRFP (honorable mention), Dean’s Dissertation Prize Dr. Mysore has advised numerous PhD and postdoctoral trainees, many of whom have gone on to academic and industry positions. His lab collaborates with PIs in neuroscience, computer science, and engineering. Current research includes theoretical modeling of learning rules, neural dynamics of decision-making, and cross-species comparisons of attentional circuits. The lab emphasizes training in an environment of kindness, curiosity, and integrity. The Mysore Lab is based at Johns Hopkins and includes postdocs, PhD students, research technicians, and undergraduates working on diverse projects ranging from neural circuit dissection to AI algorithm development.

Heming Cuiمشاهده پروفایل

دانشیار

• Distributed Systems
• Operating Systems
• Cloud Computing
• +۷ مورد دیگر

Dr. Heming Cui is an Associate Professor at the Department of Computer Science, University of Hong Kong, affiliated with the School of Computing and Data Science. He joined HKU in 2015 after completing his PhD at Columbia University, following bachelor's and master's degrees from Tsinghua University. His research focuses on distributed systems, operating systems, and high-performance computing, with a strong emphasis on reliability and security. Dr. Cui leads projects in distributed AI training systems, blockchain frameworks, and secure execution environments, collaborating closely with industries like Huawei. He has received notable awards including the Croucher Innovation Award (2016), HK$5 million RGC Research Impact Fund (2023), and best paper awards at ICSE and ACSAC. His work has led to commercialized systems such as Huawei's MindSpore integration of Fold3D and TICS' UTEE component derived from his secure systems research. Dr. Cui actively recruits PhD students specializing in systems security and database systems, prioritizing candidates with strong systems-building backgrounds. Key grants include leadership in projects totaling HK$30 million, including flagship collaborations with Huawei and RGC grants targeting transaction/analytical processing in edge computing and cloud security. His research spans over 50 publications in top venues like SOSP, NSDI, and IEEE journals, emphasizing reproducibility and industrial impact.

Chih-Ying Suمشاهده پروفایل

استاد

• Olfactory Neurobiology
• Neurophysiology
• Sensory Processing
• +۵ مورد دیگر

Chih-Ying Su is a Professor and Vice Chair in the Department of Neurobiology at the University of California, San Diego (UCSD). Her research focuses on understanding olfactory processing in insects, particularly Drosophila, investigating how olfactory receptor neurons (ORNs) process odor information through mechanisms like ephaptic interactions and neuromodulation. She holds a Ph.D. in Neuroscience from Johns Hopkins University and completed postdoctoral training at Yale University under Dr. John Carlson. Her work has been recognized with the Mette Strand Young Investigator Award. Key research themes include odor-driven behavior, hormonal regulation of pheromone detection, and the structural basis of neuronal function. Education: Ph.D., Neuroscience, Johns Hopkins University School of Medicine Postdoctoral Research, Yale University (Mentor: Dr. John Carlson) Research Interests: Olfactory signal processing in ORNs Ephaptic interactions and lateral inhibition Neuromodulation (e.g., juvenile hormone effects) Genetic and structural analysis of olfactory circuits Notable Contributions: Discovered asymmetric ephaptic inhibition in Drosophila ORNs Linked juvenile hormone to pheromone sensitivity in courtship behavior Developed methods for 3D electron microscopy of genetically labeled tissues Awards: Mette Strand Young Investigator Award Lab Activities: Focus on Drosophila olfaction and behavior Collaborations on ultrastructural imaging and genetic tools

Tsukasa Kamigakiمشاهده پروفایل

استادیار

• Systems Neuroscience
• Prefrontal Cortex Organization
• Executive Function
• +۱۱ مورد دیگر

Tsukasa Kamigaki is an Assistant Professor at the Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), Singapore. He leads a research laboratory focused on systems neuroscience, particularly the neural circuit mechanisms underlying executive function, working memory, and cognitive aging. His work integrates advanced techniques such as calcium imaging, optogenetics, and electrophysiology in mouse models. Ph.D. in Medicine, University of Tokyo School of Medicine (2010) B.S. in Neuroscience, University of Tokyo Graduate School of Arts and Sciences (2004) Dr. Kamigaki’s research centers on the prefrontal cortex and its role in executive control. He investigates how specific interneuron subtypes contribute to memory-guided behavior, how neural circuits reorganize during learning, and how aging and psychiatric disorders disrupt these circuits. His work bridges molecular, cellular, and systems-level neuroscience to understand cognitive function and dysfunction. His recent publications span high-impact journals including Nature Communications , Neuron , Nature Neuroscience , and Science . The articles reflect a strong trend in dissecting neuron-type-specific circuit functions, top-down modulation, and the neural basis of cognitive aging. His research increasingly focuses on translational models of cognitive decline. Human Frontier Science Program (HFSP) Long-Term Fellowship Uehara Memorial Foundation Postdoctoral Fellowship Japan Neuroscience Society Young Investigator Award MCB Outstanding Postdoc Award in Neurobiology at UC Berkeley Research Fellowships for Young Scientists (DC1), JSPS Dr. Kamigaki has mentored students and postdocs, and his lab actively pursues grants and collaborative research. He has delivered numerous invited talks at institutions such as RIKEN, UC Berkeley, and the University of Tsukuba. His lab, launched in 2019 at NTU, is equipped to study multiscale brain circuits and is contributing significantly to Singapore’s neuroscience research landscape. His research team, the Kamigaki Lab, investigates brain-wide and local circuit mechanisms for executive function. They utilize transgenic mouse models, in vivo imaging, and behavioral paradigms to explore how neural networks support cognition and how they deteriorate in aging and disease.

• Neuroscience
• Cognitive Neuroscience
• Neural Signal Processing
• +۲ مورد دیگر

Dr. Davide Albertini is a Researcher at the Department of Medicine and Surgery, University of Parma. He teaches courses on Computer Skills , Bibliographic Research , and Neural Signal Analysis for both first and second cycle degree programs in Psychological Sciences. Neuroscience research focused on sensorimotor and sociocognitive neural mechanisms Develops visualization software (HiBoP) for intracranial EEG datasets Specializes in neural decoding of motor actions using computational methods His work combines neuroethology , machine learning , and neural signal analysis to study motor cortex functions in freely moving primates. Current projects examine: Neural coding differences between action execution and observation Clustering algorithms for premotor cortex activity patterns Shared neural representations for biological vs. nonbiological movements

Ehsan Kheradpezhouhمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Physiology
• Sensory Processing
• +۷ مورد دیگر

Dr. Ehsan Kheradpezhouh is a Research Fellow at the Eccles Institute of Neuroscience , part of the Australian National University (ANU). With an MD from Shiraz University and a PhD in Physiology from Adelaide University (2015), his work focuses on the physiological and pathological roles of Transient Receptor Potential (TRP) channels in mammalian cortical neurons. He employs in vivo and in vitro electrophysiology, two-photon calcium imaging, and behavioral assays to investigate TRPA1 modulation in sensory processing across whisker-touch and vision, extending this to pathologies like Multiple Sclerosis and Epilepsy. Education: MD, Shiraz University PhD in Physiology, University of Adelaide (2015) Research Interests center on TRP channels, sensory processing in somatosensory and visual cortex, neuronal excitability, and their implications in neurological diseases. His work bridges molecular mechanisms with behavioral outcomes, utilizing rodent models for translational applications. Scientific Contributions include key publications in Communications Biology , Nature Communications , and Cell Reports , alongside an NHMRC 2022 Small Equipment Grant . His projects, such as "Understanding the physiological and pathological roles for TRP channels in the mammalian cortex" (2020-2023), highlight collaborations with the Arabzadeh Group at ANU. Scientific Awards: NHMRC 2022 Small Equipment Grant Collaborations include partnerships with Prof. Ehsan Arabzadeh, Prof. Jason Mattingley, and Dr. Charles Lee, focusing on cortical circuitry, sensory integration, and neurodegenerative disease modeling using brain organoids.

Friedemann Zenkeمشاهده پروفایل

استادیار

• Computational Neuroscience
• Neural Network Modeling
• Spiking Neural Networks
• +۷ مورد دیگر

Friedemann Zenke is an Assistant Professor at the University of Basel and a Junior Group Leader at the Friedrich Miescher Institute for Biomedical Research (FMI), Basel, Switzerland. His research lies at the intersection of computational neuroscience, machine learning, and neuromorphic engineering, focusing on modeling memory formation and information processing in neural networks. Assistant Professor, University of Basel (2022–present) Junior Group Leader, FMI (2019–present) SNSF Eccellenza Fellow (2022–2027) Education: PhD, School of Computer and Communication Sciences, EPF Lausanne, Switzerland (2014) Diplom in Physics, University of Bonn and Australian National University (2009) Postdoctoral Fellow, Stanford University (2015–2017) Sir Henry Wellcome Postdoctoral Fellow, University of Oxford (2017–2019) His research interests center on understanding how plasticity mechanisms—such as Hebbian, homeostatic, and predictive plasticity—enable learning and memory in biologically inspired neural networks. He develops computational models using spiking and rate-based networks, leveraging high-performance computing and machine learning tools. His work integrates theoretical analysis from dynamical systems and statistical physics with practical dimensionality reduction techniques to compare model outputs with experimental data. A major focus is on surrogate gradient methods for training non-differentiable spiking networks, enabling their application in neuromorphic hardware. The recent publications highlight a strong trend toward bridging theoretical neuroscience with practical AI and hardware applications. Key themes include credit assignment in spiking networks , energy-efficient neuromorphic learning , biologically plausible plasticity rules , and benchmarking frameworks for emerging neural models. His work increasingly emphasizes the co-design of algorithms and hardware for next-generation brain-inspired computing systems. Scientific Awards: SNSF Eccellenza Fellowship (2022–2027) Wellcome Trust Postdoctoral Fellowship (2016–2019) Swiss National Science Foundation Postdoctoral Fellowship (2015–2016) Teaching Award, EPFL (2012) Marie Curie PhD Fellowship (2010–2014) DAAD Fellowship (2006) Friedemann Zenke leads an active research group at FMI, advising multiple PhD students and mentoring postdoctoral fellows. His research is supported by competitive grants, including the SNSF Eccellenza grant. He is a key member of the Computational Neuroscience Initiative Basel , fostering interdisciplinary collaboration between theoretical and experimental neuroscience. His lab develops large-scale neural network simulations and contributes to open tools for evaluating spiking neural networks, such as the Heidelberg Spiking Data Sets. Future work aims to further unify principles of biological learning with scalable, efficient AI systems.

• Computational Neuroscience
• Computational Biology
• Health Informatics
• +۸ مورد دیگر

David Sterratt is a Lecturer in the School of Informatics at The University of Edinburgh, where he has been a University Teacher and researcher since 2000. He is affiliated with the Institute for Adaptive and Neural Computation and the Centre for Statistics, and serves as Deputy Director of Learning & Teaching (Operations). His work bridges computational neuroscience, data science, and sustainability education. His educational background includes an undergraduate degree in Physics and a PhD in computational neuroscience. He is a Fellow of the Higher Education Academy (HEA), reflecting his commitment to pedagogy. PhD in Computational Neuroscience BSc in Physics David Sterratt's research focuses on computational neuroscience , particularly multiscale modelling of neurons, synaptic plasticity, and the development of neural topographic maps. He combines rule-based models of molecular interactions with compartmental models of neuronal electrical activity using tools like KappaNEURON. His work on retinal reconstruction via the Retistruct software has enabled accurate transformation of flattened retinae into 3D anatomical space. He also investigates learning mechanisms in associative memory and familiarity detection in neural networks. His recent publications reflect a deep engagement with hybrid computational models, calcium dynamics in dendritic spines, and the quantitative analysis of neural development. Themes across his work include multiscale integration , stochastic and deterministic modelling , and biologically constrained simulations . Scientific honors include: Fellow of the Higher Education Academy (HEA) He is actively involved in teaching and supervision. He co-designed and organizes the second-year undergraduate course Informatics 2 - Foundations of Data Science and teaches Modelling of Systems for Sustainability . He supervises undergraduate and postgraduate projects and welcomes PhD supervision enquiries. His current PhD students include Domas Linkevicius and Susana Román García, co-supervised with Melanie Stefan. David Sterratt leads significant educational initiatives and software development. He developed and maintains Retistruct and KappaNEURON, and has contributed R packages for computational neuroscience. He previously served as Energy Coordinator for the Informatics Forum (2011–2019), demonstrating a longstanding commitment to sustainability.

Carlos E Vargas-Irwinمشاهده پروفایل

استادیار

• Brain-Computer Interfaces
• Cortical Computation
• Neuroinformatics
• +۴ مورد دیگر

Carlos E Vargas-Irwin is an Assistant Professor of Neuroscience (Research) at Brown University. His work focuses on understanding how networks of neurons represent and transform information, with particular emphasis on the relationship between cortical neuron activity and upper limb motion control. He is affiliated with the Department of Neuroscience in the School of Engineering and collaborates extensively with researchers across Brown's neuroscience and engineering communities. Assistant Professor of Neuroscience (Research), Brown University NIH Director's New Innovator Award recipient (DP2NS111817) Member of the Donoghue Lab at Brown University Extensive collaborator with John Donoghue (14 co-publications) Dr. Vargas-Irwin's research interests center around brain-computer interfaces , cortical computation , neuroinformatics , and neuroprosthetics . His work aims to understand how neural networks encode movement information and transform it into action. He has developed mathematical 'neural decoder' models capable of reconstructing complex limb movements based solely on neural activity and has examined how visual information shapes motor planning for grasping. His research has significant implications for developing brain-controlled neuroprosthetic assistive devices for individuals with paralysis. Analysis of Dr. Vargas-Irwin's recent publications reveals a strong focus on decoding neural signals for brain-computer interfaces, particularly in human patients with tetraplegia. His work spans multiple aspects of neural decoding including movement intention, force representation, and the relationship between different neural signal types (spikes, local field potentials). He has made significant contributions to computational methods for neural data analysis, including the Spike Train Similarity Space (SSIMS) framework, which has been openly shared with the neuroscience community. NIH Director's New Innovator Award: DP2NS111817 (NINDS) 'Synergistic Effector/Environment encoding: A new perspective on motor cortex and brain-computer interfaces' Dr. Vargas-Irwin collaborates extensively with leading researchers in neuroscience and engineering at Brown University, including John Donoghue (with whom he has 14 co-publications), Matthew Harrison, Leigh Hochberg, and Arto Nurmikko. His research is supported by significant NIH funding through the prestigious New Innovator Award. He has developed openly shared software tools for neuroscience data analysis that have fostered multiple ongoing collaborations across the neuroscience community. His work is primarily conducted through the Donoghue Lab at Brown University, which focuses on understanding neural coding and developing brain-computer interfaces. The lab brings together expertise in neuroscience, engineering, and computational methods to tackle fundamental questions about how the brain controls movement and how this knowledge can be applied to assistive technologies for people with neurological disorders.

Jason Tait Sanchezمشاهده پروفایل

دانشیار

• Auditory Neuroscience
• Neurophysiology
• Synaptic Transmission
• +۳ مورد دیگر

Jason Tait Sanchez serves as Associate Professor and Director of Graduate Studies in the Department of Communication Sciences & Disorders at Northwestern University's School of Communication, where he is also a Fellow of the Hugh Knowles Center. His research focuses on neural mechanisms underlying auditory processing, with emphasis on time-coding in the brainstem. His educational trajectory includes a BA in Communication Disorders from the University of Northern Colorado, MA in Audiology and Speech Sciences from Michigan State University, PhD in Audiology and Neuroscience from Kent State University, and an Otolaryngology Fellowship at the University of Washington. Dr. Sanchez's research program centers on auditory neuroscience , specifically investigating synaptic transmission, ion channel function, and developmental specialization in the auditory brainstem using avian models. His work combines electrophysiological, anatomical, and computational approaches to unravel how neural circuits encode temporal information for sound localization and speech processing, with implications for hearing disorders and neural plasticity. Analysis of his 2015-2020 publications reveals a cohesive research trajectory examining intrinsic neuronal properties and ion channel mechanisms in the avian nucleus magnocellularis. His work demonstrates how specialized cellular features enable precise temporal coding, with applications spanning molecular neuroscience, clinical audiology, and computational modeling of auditory processing. His scientific recognition includes: 2019 Faculty Appreciation Recipient (Northwestern Athletics) 2017 & 2016 Northwestern University Faculty Honor Roll 2015 Clarence Simon Award for Teacher and Mentor 2014 Young Investigator Award (American Auditory Society) Dr. Sanchez directs the Central Auditory Physiology Laboratory and has secured significant research funding, including NIH/NIDCD R01 DC017167 (Molecular Mechanisms of Tonotopy Development) and R03 DC0103841 (Synaptic Function Regulation), alongside Knowles Hearing Research Center support. His grant portfolio reflects sustained investigation into developmental auditory neuroscience with translational potential. The Central Auditory Physiology Laboratory employs integrated approaches including in vivo electrophysiology, anatomical analysis, and computational modeling to investigate neural coding principles, with particular focus on how developmental processes shape auditory circuitry for precise temporal processing.

Allan E Herbisonمشاهده پروفایل

استاد

• Neuroendocrinology
• Reproductive Neuroscience
• Fertility Regulation
• +۴ مورد دیگر

Professor Allan E Herbison serves as Professor of Neuroendocrinology and Wellcome Trust Senior Research Fellow within the Department of Physiology, Development and Neuroscience at the University of Cambridge. His work is central to Cambridge Reproduction, an interdisciplinary research initiative focused on reproductive biology. As a Fellow of the Royal Society of New Zealand (FRSNZ), he maintains significant international recognition for his contributions to reproductive neuroendocrinology. Herbison's research program investigates the neural circuitry controlling fertility, with primary focus on gonadotropin-releasing hormone (GnRH) neurons and kisspeptin neurons. His laboratory employs advanced neuroscience approaches and mouse models to address fundamental questions about how these neural populations generate the pulsatile and surge patterns of hormone secretion responsible for puberty initiation and reproductive function maintenance. Current research examines neural mechanisms underlying infertility conditions like hypothalamic amenorrhea and polycystic ovary syndrome (PCOS), with particular interest in estrogen and progesterone modulation of reproductive circuitry. Analysis of his recent publications reveals a strong emphasis on neural pulse generator dynamics , kisspeptin neuron synchronization , and translational applications for infertility . His work increasingly integrates optogenetics , calcium imaging , and CRISPR-based molecular techniques to dissect reproductive neurocircuitry with cellular precision. The research demonstrates consistent progression from basic neural mechanisms toward disease models, particularly PCOS and lactational infertility. Scientific recognition includes: Wellcome Trust Senior Research Fellowship Fellowship in the Royal Society of New Zealand (FRSNZ) Herbison's laboratory maintains active collaborations across neuroscience and reproductive medicine, with significant contributions to understanding how stress, metabolic factors, and reproductive states modulate the GnRH pulse generator. Current projects investigate prolactin-mediated suppression of fertility during lactation, noradrenergic modulation of kisspeptin neurons, and evolutionary conservation of reproductive neurocircuitry. His work bridges fundamental neuroscience with clinical applications in contraception and infertility treatment.

• Neural Engineering
• Neuroprosthetics
• Direct Current Neural Modulation
• +۴ مورد دیگر

Dr. Felix Aplin is a researcher at the University of New South Wales (UNSW), Faculty of Medicine, specializing in Biomedical Engineering with a focus on neural engineering and neuroprosthetics. His research spans multiple domains within neuroscience and biomedical technology, with significant contributions to understanding and developing neural modulation techniques. Dr. Aplin's primary research interests center around neural engineering and neuroprosthetics , with particular expertise in direct current neural modulation techniques. His work investigates how electrical stimulation can be used to modulate neural activity in the vestibular system, peripheral nerves, and visual pathways. He has made significant contributions to understanding how ionic direct current can be used for combined inhibition and excitation of neural systems, with applications in pain management, vestibular disorders, and visual restoration. Analysis of Dr. Aplin's publication record reveals a strong trajectory in developing implantable neural modulation technologies. His research demonstrates an evolution from basic neural mechanisms to practical applications in neuroprosthetics. A significant portion of his work focuses on pain management through peripheral nerve modulation, while another major strand explores visual restoration through retinal prostheses. His recent publications (2023-2024) show increasing translational focus, with studies moving from rodent models to human applications in pain research. Dr. Aplin collaborates extensively with leading researchers in neural engineering, particularly with G. Y. Fridman, with whom he has co-authored numerous publications including book chapters on implantable direct current neural modulation. His research bridges multiple disciplines including neuroscience, biomedical engineering, and clinical applications.

Hillel Adesnikمشاهده پروفایل

دانشیار

• neural basis of perception
• neuroscience
• neurobiology
• +۶ مورد دیگر

Hillel Adesnik serves as Associate Professor in the Department of Molecular and Cell Biology at the University of California, Berkeley, with additional affiliation in Neuroscience. His research program centers on deciphering how cortical microcircuits transform sensory input into perceptions and behaviors, utilizing cutting-edge approaches in awake behaving mice to bridge cellular mechanisms with cognitive functions. Adesnik's research investigates the neural basis of perception through three integrated pillars: (1) dissecting horizontal and vertical connections in cortical layers for sensory feature extraction, (2) developing high-resolution optical tools like 3D-SHOT for single-neuron manipulation in intact brains, and (3) analyzing cross-cortical communication for percept synthesis. His lab combines two-photon imaging, optogenetics, electrophysiology, and computational modeling to study tactile processing in barrel cortex and visual perception, revealing how specific neuron types and synaptic mechanisms generate perceptual codes. Key discoveries include layer-specific inhibitory control, supra-linear feature summation, and gamma-band synchronization mechanisms. Analysis of Adesnik's publication record shows consistent focus on cortical microcircuit dynamics across sensory modalities, with increasing emphasis on tool development since 2017. His work demonstrates how precise neural manipulations can establish causal links between circuit activity and perception, particularly through innovations in holographic optogenetics. Recurring themes include the role of somatostatin interneurons in layer-specific processing, cross-laminar interactions in feature coding, and the development of quantitative frameworks for neural population decoding. Scientific recognition includes: Chan Zuckerberg Biohub Investigator (2022 cohort) Adesnik mentors a robust research team comprising postdoctoral fellows (Lamiae Abdeladim, Janine Beyer, Conor Dorian, Will Hendricks, Uday Jagadisan, Mora Ogando, Masato Sadahiro, Kevin Sit, Savitha Sridharan, Andrea Zazzi) and graduate students (Genesis Ferrer Imbert, Courtney Kim, Madi McCloud, Ravi Srinivasan). His lab operates through structured collaboration with engineering groups for optical tool development and maintains active partnerships for disease-model applications. Funding sources include the Chan Zuckerberg Biohub and NIH grants supporting neurotechnology innovation. The Adesnik Lab maintains three core research thrusts through an integrated experimental pipeline: in vivo circuit interrogation in behaving animals, in vitro synaptic analysis, and novel optical instrument development. Current work emphasizes translating high-resolution manipulation techniques to disease models including autism and epilepsy, while expanding into multi-area cortical dynamics during complex behavioral tasks.