جست‌وجوی استاد و پژوهشگر

Stefano Nicheleمشاهده پروفایل

استاد

• Artificial Life
• Neuro-Inspired Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Stefano Nichele is a Professor at the Department of Computer Science and Communication, Østfold University College, Norway. He holds additional roles as Professor II at OsloMet and has served in leading academic positions since 2014. His research focuses on Artificial Life (ALife), Neuro-Inspired AI, and Machine Learning, with a particular emphasis on cellular automata, reservoir computing, and neuro-inspired substrates. Nichele co-directs the Østfold AI (ØAI) hub and is an active member of IEEE, ELLIS, and the Norwegian AI Research Consortium (NORA). He earned his PhD in Computer Science from NTNU (2015) and completed his MSc at the University of Insubria, Italy. His work bridges computational systems and biological substrates, exploring criticality in neural networks and quantum-evolutionary algorithm interactions. He has received prestigious awards, including the Young Research Talent grant (2019) and the Distinguished Early-Career Investigator award (2024). Nichele’s research spans theoretical and applied domains, with over 50 publications on cellular automata dynamics, neuro-inspired robotics, and AI ethics. His recent projects include studying in vitro neural networks for computational capacity assessment and developing frameworks for body-brain co-evolution in soft robotics. Education: PhD in Computer Science, NTNU (2015) MSc in Computer Science, University of Insubria (2009) Awards: Young Research Talent grant (2019) Distinguished Early-Career Investigator (2024) Grants & Roles: Co-director of the Østfold AI hub Board member of NORA (Norwegian AI Research Consortium) Labs & Collaborations: Focus on neuro-inspired AI systems and unconventional computing Partnerships with institutions like Simula Metropolitan and the International Society for Artificial Life (ISAL)

• Computational Neuroscience
• Neural Network Simulation
• Large-Scale Simulation
• +۳ مورد دیگر

Hans Ekkehard Plesser is a Professor at the Department of Data Science, Norwegian University of Life Sciences (NMBU). His work focuses on computational neuroscience, large-scale neural network simulations, and advancing reproducibility in computational research. He is a key contributor to the NEST simulator, a widely used open-source tool for modeling spiking neural networks. His research spans theoretical and applied aspects of neuroscience, including neuron-astrocyte interactions, connectivity patterns in neural networks, and high-performance computing strategies for brain-scale simulations. He emphasizes reproducible computational practices through initiatives like the ReScience project, promoting transparency and validation in scientific software. His publications highlight advancements in simulation methodologies, algorithm optimization, and the integration of supercomputing resources for neuroscience. He has contributed to foundational work on spiking neuron dynamics, firing-rate models, and the theoretical underpinnings of neural network behavior.

• Neural Data Science
• Systems Neuroscience
• Computational Neuroscience
• +۳ مورد دیگر

Benjamin Adric Dunn is an Associate Professor in (Neural) Data Science at the Department of Mathematical Sciences, NTNU. His research focuses on computational neuroscience, systems neuroscience, and topological data analysis. He holds a PhD and postdoctoral experience from NTNU's Kavli Institute for Systems Neuroscience, an MS in Computational Engineering from Purdue University, and a BS in Applied Mathematics from the University of Connecticut. Previously, he worked as a Computational Methods Engineer at Pratt & Whitney, UTC. His work explores neural mechanisms underlying spatial navigation, grid cell dynamics, and neural coding in rodents. Key contributions include studies on toroidal representations in grid cells and cortical coding of 3D posture. Dunn has published extensively in journals like Nature , Science , and Neuron , with a focus on interdisciplinary methods combining topology, statistics, and neuroscience. He has collaborated on projects involving neural ensemble activity analysis and hidden variable modeling in biological data. Dunn’s research also addresses computational challenges in neuroscience, such as removing experimental variability in functional data.

• Neuroplasticity
• Central Nervous System (CNS) Damage and Repair
• Computational Neuroscience
• +۵ مورد دیگر

Professor Ioanna Sandvig is a leading academic at the Norwegian University of Science and Technology (NTNU) , where she serves as group leader of the Integrative Neuroscience Group within the Department of Neuromedicine and Movement Science. She is also President of the Norwegian Neuroscience Society (NNS) and actively participates in international societies including the Federation of European Neuroscience Societies (FENS), Society for Neuroscience (SfN), ALBA Network, and Clinical-Academic Group for Alzheimer's Disease. Research Interests : Her group investigates neuroplasticity mechanisms in CNS damage and repair , focusing on structure-function relationships in biological neural networks under healthy and pathological conditions. They integrate in vivo , in vitro , and computational models to identify adaptive/maladaptive plasticity in neurodegenerative diseases like ALS and Alzheimer's. The research combines connectomics , transcriptional analysis , and geometric network modeling to decode network behaviors. Scientific Contributions : Recent publications explore topics including synaptic transcript dysregulation in ALS, functional complexity of 3D-engineered networks, and platinum microelectrode technologies. Her work demonstrates interdisciplinary approaches bridging neuroscience , bioengineering , and computational systems . Scientific Recognition : President, Norwegian Neuroscience Society (2024) Member, Federation of European Neuroscience Societies Member, Society for Neuroscience Member, ALBA Network Member, Clinical-Academic Group for Alzheimer's Disease Laboratory & Collaborations : The Integrative Neuroscience Group collaborates across NTNU's neuroscience departments and clinical institutions, developing tools for neuroplasticity analysis and contributing to preclinical disease modeling.

Marianne Fyhnمشاهده پروفایل

استاد

• Neurobiology
• Neuroscience
• Physiology
• +۷ مورد دیگر

Marianne Fyhn is a Professor at the University of Oslo's Section of Physiology and Cell Biology within the Faculty of Mathematics and Natural Sciences. She leads the Centre for Integrative Neuroplasticity (CINPLA), a strategic research initiative integrating experimental biology with computational physics/mathematics to study brain information processing and plasticity. PhD in Neuroscience (NTNU, 2000-2005) MSc in Physiology (University of Tromsø, 1997-1999) Bachelor in Arctic Biology (University Courses in Svalbard, 1995-1996) BSc in Biology (University of Bergen/Oslo, 1992-1995) Her research focuses on neural plasticity mechanisms in cortical structures, using large-scale neuronal recordings and transcranial two-photon microscopy to study synaptic and population code changes during sensory learning. Key findings include discovering grid cells in mice and demonstrating how experience modifies cortical circuits for long-term memory. Recent publications analyze perineuronal nets' role in memory stabilization, grid cell conformal mapping, and topological population coding in visual cortex. These works reveal intersections between neural circuit dynamics , computational modeling , and neurodegenerative processes . 2008: European Brain and Behaviour Society Award 2007: Eppendorf-Science Prize in Neurobiology 2006: Donald B. Lindsley Prize & I.K. Lykke Award Fyhn serves as course manager for advanced courses including MBV1020 - Physiology and MBV4340 - Advanced Neurobiology . Her lab develops educational tools like Neuronify for neural circuit simulation and open-source platforms for electrophysiological data analysis.

• Computational Neuroscience
• Mathematical Neuroscience
• Brain Physics
• +۱۲ مورد دیگر

Gaute Einevoll is a Professor in the Department of Physics at the Norwegian University of Life Sciences (NMBU), Faculty of Science and Technology. His academic work bridges the disciplines of physics and neuroscience, with a strong focus on computational and mathematical modeling of brain function. Position: Professor of Physics Institution: Norwegian University of Life Sciences (NMBU) Department: Department of Physics Research Focus: Brain Physics, Computational Neuroscience His research interests lie at the intersection of physics and neuroscience, particularly in understanding the biophysical mechanisms underlying neural signals such as local field potentials (LFPs), EEG, and spike trains. He develops and applies mathematical models to interpret experimental data from multielectrode arrays and laminar recordings. His work includes modeling cortical circuits, thalamocortical networks, and the transition from grid cells to place cells in spatial navigation. He also investigates the biophysical basis of signal propagation and filtering in neural tissue. The 15 most recent publications reflect a consistent focus on computational modeling of neural activity, with strong emphasis on biophysical realism, data analysis methods, and tool development. Articles span topics from single-neuron contributions to EEG, astrocytic ion dynamics, and large-scale neural recordings. Keywords across these works include Computational Neuroscience, Biophysics, Neural Modeling, and Electrophysiology, with subfields covering LFPs, spike-train analysis, cortical circuits, and network dynamics. A recurring theme is the development of analytical and computational tools to bridge experimental data with theoretical understanding. No scientific awards are mentioned in the provided text. Gaute Einevoll has supervised research and taught courses such as FYS388/488 Computational Neuroscience and FYS102 Thermal Physics and Electromagnetism. He has contributed to major collaborative efforts like the Human Brain Project. While specific grants are not listed, his extensive publication record in high-impact journals suggests sustained research funding. He has also authored educational materials, including a textbook on physics and an edited volume on natural sciences. He is associated with research groups focused on computational neuroscience and brain physics. He has developed the LFPy tool for simulating extracellular potentials, indicating leadership in neuroinformatics tool development. His team likely involves interdisciplinary collaboration between physicists, neuroscientists, and computational biologists working on modeling neural systems.

Julien Mayorمشاهده پروفایل

استاد

• Language Acquisition
• Infant Speech Perception
• Cognitive Development
• +۵ مورد دیگر

Julien Mayor is a Professor at the Department of Psychology, University of Oslo , specializing in Language Acquisition , Infant Speech Perception , and Computational Modeling in Psychology . His work bridges cognitive development with bilingualism and dialect exposure, focusing on how infants learn words through parental speech patterns. He leads the BabyLing project, developing tools like TLex for unbiased language screening.

• Unconventional Computing
• Computer Architecture
• Artificial Intelligence
• +۵ مورد دیگر

Gunnar Tufte is a Professor and Deputy Head of Research at the Department of Computer Technology and Informatics, NTNU. He leads the Computer Architecture Lab and advises PhD programs in Computer Science and Informatics within the Faculty of Information Technology and Electrical Engineering. His primary research focuses on unconventional computing, including artificial spin ice systems, self-organizing nanomaterials, and bio-inspired architectures. Research Interests include: Unconventional Machines: Architecture, Design, and Computation Spin-based Computing and Energy Efficient Systems Evolution-in-Materio and Nanoscale Computation Reservoir Computing and Dynamical Systems Nano-Magnetic Orchestration and Self-Organization Key Projects: SpinENGINE (EU Horizon 2020 FET-Open): Developing parallel computing platforms using nanomagnet ensembles. SPrINTER (Norwegian Research Council): Low-power spin-based computing technology. flatspin: Open-source simulator for artificial spin ice systems (GPLv3). Grants and Collaborations: Horizon 2020 FET-Open funding for SpinENGINE. NFR funding for SPrINTER project. Lab/Team: Maintains the Computer Architecture Lab and collaborates on interdisciplinary projects with researchers in nanotechnology, AI, and biology.

• Computational Neuroscience
• Neurophysics
• Brain Signal Analysis
• +۳ مورد دیگر

Gaute Tomas Einevoll is a Professor in the Department of Condensed Phase Physics at the University of Oslo. His research focuses on computational neuroscience, neurophysics, and theoretical biophysics. He leads the COBRA project (COMPUTING BRAin signals) and contributes to the Condensed phase physics research group. His work integrates physics-based approaches with neuroscience to study brain signal analysis, synaptic plasticity mechanisms, and neuron modeling. Recent research includes computational modeling of schizophrenia-related synaptic impairments and topological analysis of neural population activity in visual cortex systems. He has published extensively in top journals like PLoS Computational Biology and PNAS, with notable contributions on electric brain signal predictions and genetic mechanisms in mental health. Einevoll collaborates internationally and engages in multidisciplinary projects at the intersection of neuroscience, computing, and technology. His research has implications for understanding brain disorders and advancing neurotechnology applications.

• Neuroscience
• Neuroengineering
• Nanotechnology
• +۴ مورد دیگر

Nicolai Winter-Hjelm is a researcher at the Norwegian University of Science and Technology (NTNU) specializing in integrative neuroscience. He completed his Ph.D. in medicine at NTNU under the supervision of Professor Ioanna Sandvig, with collaborations from Professor Pawel Sikorski (physics) and Professor Axel Sandvig (neuromedicine and movement science). He also holds a part-time 25% duty worker position at NTNU NanoLab, providing technical assistance and training. Academic Background: Ph.D. in Medicine (2020–2024), NTNU Master in Nanotechnology (2015–2020), NTNU Exchange in Biological Studies (2019), NTU Singapore His research focuses on understanding how neuronal network topology affects functional output and computational capacity, with applications in neurodegenerative diseases like Alzheimer's and ALS. He develops microfluidic devices and 3D microelectrode arrays to study neural network dynamics in controlled environments. Key technical competencies include Biophysics , Nanotechnology , Neuroengineering , and Neuroscience . His work intersects biomedical engineering , computational sciences , and neural network modeling . Recent Publications: His 2025–2023 articles highlight advancements in 3D interfaces, nanoporous electrodes, and disease-specific neural network models. These works address structural-functional relationships in engineered networks and pathological reconfigurations in neurodegenerative conditions. Teaching & Supervision: He has supervised multiple master students at NTNU, including research on microfluidic models, 3D surfaces for neural networks, and microelectrode array fabrication.

• Statistical Genetics
• Neuroscience
• Genetic Epidemiology
• +۵ مورد دیگر

Ralph Pascual Ortiz Porneso is a Doctoral Research Fellow affiliated with the PROMENTA research group at the Department of Psychology , University of Oslo . His work bridges statistical genetics and neuroscience to investigate non-additive genetic effects and their interactions with psychosocial/environmental factors in shaping complex traits. Education: Neuroscience training at the Netherlands Institute for Neuroscience (2021). Research Interests: Genetic modeling, synaptic plasticity, educational outcomes, and neural circuitry analysis. His recent publications focus on genetic associations with educational fields and experience-driven plasticity in chandelier cells of the visual cortex. He has also contributed to ERC-funded meta-analyses on educational interventions. Currently, he is part of the European Social Science Genetics Network and Neighborhood Genetics initiatives.

Athanasios Kournoutisمشاهده پروفایل

پژوهشگر ارشد

• Autophagy
• Cancer Biology
• Cell Signaling
• +۳ مورد دیگر

Athanasios Kournoutis is a Postdoctoral Fellow at the Centre for Cancer Cell Reprogramming , affiliated with the Faculty of Medicine at the University of Oslo . His research focuses on autophagy, cancer biology, and molecular signaling mechanisms. University: University of Oslo School: Faculty of Medicine Current Role: Research Fellow Research Interests: Kournoutis investigates autophagy regulation, particularly the role of proteins like WDR83/MORG1 and LC3B in modulating MTORC1 signaling and neuronal autophagy. His work bridges molecular biology with cancer cell reprogramming and neurodegeneration models. Publication Trends: Recent articles highlight his expertise in autophagy receptors, GTPase inhibition, and transcriptional regulation. Studies span from Drosophila models to mammalian systems, emphasizing evolutionary conservation and therapeutic implications.

• Computational Neuroscience
• Neural Dynamics
• Population Coding
• +۲ مورد دیگر

Soledad Gonzalo Cogno is a Group Leader at the Kavli Institute for Systems Neuroscience (Norwegian University of Science and Technology, NTNU), where she heads the Neural Dynamics and Computation Lab. She is also affiliated with the Center for Algorithms in the Cortex. Research focuses on understanding how neural networks compute through synergistic computational and experimental approaches. Key areas include population coding, synaptic plasticity, and dynamics of hippocampal and entorhinal cortex circuits. Her recent work on 2023 publications in Nature and Neuron explores minute-scale oscillatory sequences and object-centered coding in hippocampal regions. Earlier studies (2013-2016) examined visual cortex orientation selectivity, bursting neurons, and bistable dynamics. Lab members include PhD candidate Lea Marie Braun, researcher Ivan Andres Davidovich, and postdoctoral fellow Julien Ballbe Y Sabate. Teaching involves advanced mathematics courses for biologists.

• Scientific Computing
• Applied mathematics
• Numerical methods
• +۲ مورد دیگر

Marie E. Rognes is a Chief Research Scientist at Simula Research Laboratory's Numerical Analysis and Scientific Computing department. She specializes in computational mathematics and biomedical modeling, particularly focusing on cerebral fluid dynamics, electrodiffusion, and poroelasticity. Her work bridges advanced numerical methods with clinical applications in neuroscience. Research Pillars: Brain waterscape modeling, finite element methods, and biophysical simulations Software Leadership: Key contributor to FEniCS and Dolfin-adjoint projects Application Domains: Neurodegenerative diseases, cardiac electrophysiology, and personalized medicine Recent publications reveal methodological innovations in perivascular flow modeling , ionic transport simulations , and multi-scale brain mechanics . Her work on glymphatic system dynamics and cardiac tissue modeling demonstrates cross-disciplinary impact. While no explicit awards are listed, her extensive publication record in top-tier computational journals (SIAM, PLOS, Nature Computational Science) and invited talks at premier conferences (SIAM, ECCOMAS, FEniCS workshops) establish her as a leading figure in biomedical computing.

• Computational Neuroscience
• Biophysics
• Neural Networks
• +۶ مورد دیگر

Professor Gaute T. Einevoll is affiliated with the Department of Physics at both the University of Oslo and the Norwegian University of Life Sciences (NMBU) . His research focuses on computational neuroscience , integrating methods from physics, mathematics, and computer science to understand neural mechanisms underlying biological intelligence. Key areas: Neural network modeling , brain signal analysis (EEG, MEG, LFP), computational psychiatry Leadership roles: Co-leader of Norwegian node of INCF since 2007; Partner in EU Human Brain Project since 2013 His recent work explores topological neural representations , GABAB receptor signaling , and ultra-high density electrode technology , as evidenced by publications in 2024-2025. He also develops open-source tools like LFPy and Uncertainpy for biophysical modeling. Active in science communication, he hosts the podcast "Vett og vitenskap med Gaute Einevoll" , discussing neuroscience and related disciplines.