Work with thought leaders and academic experts in Computational Neuroscience

Companies can greatly benefit from working with experts in Computational Neuroscience. These researchers bring a unique set of skills and knowledge that can enhance research, innovation, and problem-solving capabilities. They can provide valuable insights into brain function, neural networks, and computational modeling, which can be applied to various industries. By collaborating with Computational Neuroscience experts, companies can improve their understanding of human behavior, develop more effective treatments for neurological disorders, optimize brain-computer interfaces, enhance artificial intelligence algorithms, and create innovative technologies for virtual reality and gaming. Additionally, these experts can contribute to the development of advanced neuroimaging techniques, improve data analysis methods, and provide expertise in the field of neuroethics.

Researchers on NotedSource with backgrounds in Computational Neuroscience include Nicolangelo Iannella, Tyler Streeter, Suhas Chelian, Jamie Hughes, Ph.D., Nik Nikooyan, Ph.D., Thomas Morin, Ph.D., Jingyang Zhou, and Syed Hussain Ather.

Nicolangelo Iannella

Oslo
6 Years Experience
Senior Research fellow, The University of Oslo, Faculty of Mathematics and Natural Sciences
Education

University of Adelaide

Graduate Certificate in Education (Higher Education) , School of Electrical & Electronic engineering / December, 2012

Adelaide, South Australia, Australia

Denki Tsushin Daigaku

PhD (Eng), Information and Communications Engineering / March, 2009

Chofu
Experience

University of Oslo

Postdoctoral Fellow / July, 2018Present

Most Relevant Research Expertise
Computational neuroscience
Other Research Expertise (18)
Neuromorphic circuits
Neural networks, Neural learning and applications
Theoretical and Mathematical neuroscience
Artificial Intelligence
Cognitive Neuroscience
And 13 more
About
Following pre-doctoral studies in Mathematics and Theoretical Physics, I received a PhD in Computational Neuroscience from the University of Electro-Communications, Japan in 2009. From 2009, I was a Postdoctoral Researcher in RIKEN BSI. In 2010, I won the prestigious Australian Research Council (ARC) Australian Postdoctoral Award (APD) fellowship, based at the University of Adelaide from 2010–2014. In 2012 he completed a Graduate Certificate in Education (Higher Education) (GCEHE) from the University of Adelaide. From 2014–2017 he was an adjunct research fellow at the University of South Australia. From 2016–2018, he was a Cascade (Marie Curie) Research Fellow in Mathematical Sciences at the University of Nottingham. From 2018- a research fellow at the University of Oslo. His research interests include AI, Artificial and spiking neural networks and learning algorithms, synaptic plasticity, neuronal dynamics, and neuromorphic engineering. Dr. Iannella is a member of SFN and a Senior member of the IEEE.

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Tyler Streeter

Iowa City, Iowa, United States of America
21 Years Experience
Theoretical Machine Learning / Statistics Researcher: Bayes, Information Theory, Boltzmann Machines
Education

Iowa State University

PhD (ABD), Machine Learning / May, 2024 (anticipated)

Ames, Iowa, United States of America

Iowa State University

MS, Reinforcement Learning, Computer Graphics / December, 2005

Ames, Iowa, United States of America

Iowa State University

BS, Computer Engineering / May, 2004

Ames, Iowa, United States of America
Experience

Brainpower Labs

Machine Learning Researcher / October, 2008Present

• Pure AI/ML research and software development. • AI research/development contract with SRAM. • Derived math results (currently 6,500 pages of notes), and designed new learning algorithms involving probabilistic graphical models, Bayesian methods, and information theory. • Built internal software tools in C/C++ and Python to aid research, including interactive visualizations of machine learning and Monte Carlo sampling algorithms. • Designed a novel brain-inspired architecture for artificial general intelligence, and implemented it in in C++ and Python with interactive debugger and test environments. • Developed commercial software to fund research agenda, including iBonsai, a meditative interactive 3D tree simulation in C++ for iOS (120k users). • Graphics engineering contract with Avatree (custom generative 3D tree growth algorithm and glTF exporter in C).

VR Applications Center, Iowa State University

AI/ML Graduate Researcher / August, 2006December, 2009

• Performed independent research on topographic maps, maximum entropy learning algorithms, Bayesian networks, reinforcement learning, and systems neuroscience. • Developed open source C++ libraries for unit testing, profiling, and parallel programming.

IBM Research

Computational Neuroscience Research Intern / May, 2006August, 2006

• Implemented a novel computational model of the cerebellum. • Demonstrated motor learning and transfer of complex reaching behaviors with a simulated 6-muscle arm. • Participated in discussions of global brain modeling and information theoretic learning rules.

Most Relevant Research Expertise
computational neuroscience
Other Research Expertise (43)
artificial intelligence
machine learning
undirected graphical models
Boltzmann machines
Markov random fields
And 38 more
About
I am a researcher and software engineer focused on making machine learning simpler, more general, and more effective. Having spent many years studying a wide range of existing models and algorithms, I now work on deriving new methods from elegant theoretical principles. I enjoy writing clean code and simple APIs, designing data visualizations to gain intuition about new domains, simulating physical processes with unexpected emergent behavior, building tangible objects from humble materials, and capturing big ideas with small math. My ideal project is one that lets me be a scientist, artist, and engineer.

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Suhas Chelian

17 Years Experience
Lead in machine learning, neuroscience
Education

Ph.D., Computational Neuroscience / December, 2005

Experience

Quantum Ventura

Principal Scientist / June, 2020Present

• Team lead in deep learning and computer vision projects for several government customers (DOD, DOE, etc.). • $2.5M+ captured in 8 SBIR/STTR grants captured including 2 Phase 2’s. • 3-4 projects occur at once, each with 4-6 team members including 1-2 subcontractors. • Computer vision projects: o Missile detection using infrared imagery and bio-inspired computing (technologies: U-Net, Siamese net, Keras). o Contraband detection with hyperspectral imaging and neuromorphic computing (technologies: spectral spatial ResNet, BrainChip, Keras). o UAV detection using multispectral/hyperspectral imaging (technologies: spectral spatial ResNet, Keras). • Other projects: o Network cybersecurity with deep learning using GPUs and neuromorphic computing (technologies: BrainChip, Intel Loihi, Keras). o Verification and validation of deep learning systems; time series prediction, adversarial attacks and hardening (technologies: LSTM, fast gradient sign method, Keras).

Research Expertise (6)
machine learning
computer vision
neuroscience
Artificial Intelligence
Cognitive Neuroscience
And 1 more
About
Team lead in machine learning, neuroscience. <br> I have captured and executed projects for DARPA, NASA, and several international clients (GM, Toyota, Fujitsu). \* 12 projects transitioned--$10M revenue captured (31+ publications, 32+ patents) \* 9 awards including those from NASA, GM, and HRL Laboratories \* I also have startup, contracting and consulting experience \* US citizen (authorized to work) <br> Last updated: Aug 30, 2023

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Nik Nikooyan, Ph.D.

California
17 Years Experience
Former Senior Research Scientist and University Lecturer with numerous publications on AI/ML, Modeling, and Neuroscience
Education

University of California, Berkeley

Masters, Information & Data Science / December, 2021

Berkeley, California, United States of America

Delft University of Technology

Ph.D., Biomedical Engineering / June, 2011

Delft
Experience

California State University

Lecturer / August, 2017May, 2019

UCLA Health

Research Data Scientist / June, 2019March, 2021

University of Colorado Boulder

Research Associate / August, 2013April, 2015

Most Relevant Research Expertise
Computational Neuroscience
Other Research Expertise (6)
Data Science
Machine Learning
AI
Computer Science Applications
Computer Vision and Pattern Recognition
And 1 more
About
Nik Nikooyan, Ph.D. is a highly accomplished data scientist with a passion for using data to improve healthcare and quality of life. He holds a Ph.D. in Biomedical Engineering from Delft University of Technology and a Masters in Information & Data Science from University of California, Berkeley. Throughout his career, Nik has focused on the intersection of AI & data science and healthcare. He has conducted extensive research on developing novel algorithms to extract meaningful information from complex data. He has also worked on projects related to medical device design and development, utilizing his expertise in data analysis and machine learning to improve medical technology. In addition to his technical skills, Nik is a skilled communicator and leader. He has published multiple papers in prestigious journals and has presented his work at international conferences. He has also served as lecturer at the California State University where he mentored and supervised students, sharing his knowledge and helping to cultivate the next generation of computer & data scientists. Nik is currently working as a data scientist at a leading consulting company, where he applies his skills to help clients with AI driven solutions to improve the quality of life of others.

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Example Computational Neuroscience projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on Computational Neuroscience?

Optimizing Brain-Computer Interfaces

A Computational Neuroscience expert can collaborate with a technology company to optimize brain-computer interfaces (BCIs). By understanding the neural mechanisms involved in motor control and sensory perception, the researcher can develop algorithms that improve the accuracy and speed of BCIs. This collaboration can lead to the development of more efficient and user-friendly BCIs, enabling individuals with motor disabilities to control devices and interact with the world using their thoughts.

Improving Artificial Intelligence Algorithms

Collaborating with a Computational Neuroscience expert can help companies improve their artificial intelligence (AI) algorithms. By leveraging knowledge of neural networks and learning algorithms, the researcher can enhance the performance and efficiency of AI systems. This collaboration can lead to advancements in natural language processing, computer vision, and machine learning, enabling companies to develop more intelligent and adaptive AI technologies.

Developing Innovative Technologies for Virtual Reality and Gaming

A partnership with a Computational Neuroscience expert can drive innovation in the field of virtual reality (VR) and gaming. By understanding the neural mechanisms underlying perception, attention, and emotion, the researcher can contribute to the development of immersive VR experiences and realistic gaming environments. This collaboration can result in the creation of cutting-edge technologies that enhance user engagement and provide more immersive and interactive experiences.

Advancing Neuroimaging Techniques

Companies can benefit from collaborating with Computational Neuroscience experts to advance neuroimaging techniques. By combining expertise in neuroscience and imaging technology, the researcher can develop new methods for studying brain structure and function. This collaboration can lead to the development of more accurate and efficient imaging techniques, enabling companies to gain deeper insights into the brain and improve diagnosis and treatment of neurological disorders.

Improving Data Analysis Methods

Collaborating with a Computational Neuroscience expert can help companies improve their data analysis methods. By applying advanced statistical and computational techniques, the researcher can extract meaningful insights from complex datasets. This collaboration can lead to more accurate and efficient data analysis, enabling companies to make data-driven decisions and optimize their processes and strategies.