Work with thought leaders and academic experts in Cognitive Neuroscience

Companies can greatly benefit from working with experts in the field of Cognitive Neuroscience. These researchers can provide valuable insights into consumer behavior, decision-making processes, and the impact of various stimuli on the brain. By collaborating with Cognitive Neuroscience experts, companies can enhance their research and development efforts, optimize product design and user experience, and create more effective marketing strategies. Additionally, these experts can help companies understand the neural mechanisms underlying mental health disorders and develop innovative solutions for treatment and prevention. Overall, partnering with Cognitive Neuroscience researchers can lead to improved business outcomes and a competitive edge in the market.

Researchers on NotedSource with backgrounds in Cognitive Neuroscience include Nicolangelo Iannella, Daniel Milej, Ph.D., Dr. Charles Lassiter, Ph.D., Ping Luo, Savannah Lokey, Ph.D., Yseult Héjja-Brichard, Ph.D., and David J. Hamilton, PhD.

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, 2018 — Present

Most Relevant Research Expertise
Cognitive Neuroscience
Other Research Expertise (18)
Neuromorphic circuits
Neural networks, Neural learning and applications
Theoretical and Mathematical neuroscience
Computational neuroscience
Artificial Intelligence
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.
Most Relevant Publications (3+)

47 total publications

A spiking neural network architecture for nonlinear function approximation

Neural Networks / Jul 01, 2001

Iannella, N., & Back, A. D. (2001). A spiking neural network architecture for nonlinear function approximation. Neural Networks, 14(6–7), 933–939. https://doi.org/10.1016/s0893-6080(01)00080-6

A neuromorphic VLSI design for spike timing and rate based synaptic plasticity

Neural Networks / Sep 01, 2013

Rahimi Azghadi, M., Al-Sarawi, S., Abbott, D., & Iannella, N. (2013). A neuromorphic VLSI design for spike timing and rate based synaptic plasticity. Neural Networks, 45, 70–82. https://doi.org/10.1016/j.neunet.2013.03.003

Ion channel noise can explain firing correlation in auditory nerves

Journal of Computational Neuroscience / Aug 02, 2016

Moezzi, B., Iannella, N., & McDonnell, M. D. (2016). Ion channel noise can explain firing correlation in auditory nerves. Journal of Computational Neuroscience, 41(2), 193–206. https://doi.org/10.1007/s10827-016-0613-9

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Daniel Milej, Ph.D.

London, Ontario, Canada
15 Years Experience
Ph.D. in biomedical engineering
Education

Western University

Post-doctorate fellowship, Department of Medical Biophysics / June, 2019

London

Polish Academy of Science

PhD, Nalecz Institute of Biocybernetics and Biomedical Engineering / June, 2014

Warsaw

Military Univeristy of Technology

MSc, Department of Electronics / June, 2008

Warsaw
Experience

Lawson Research Institute

Research Associate / July, 2019 — July, 2025

Scientist / August, 2024 — Present

Western University

Postdoctoral fellow / September, 2014 — June, 2019

Assistant Professor / September, 2024 — Present

Polish Academy of Science

Researcher/PhD Student / June, 2008 — September, 2014

Most Relevant Research Expertise
Cognitive Neuroscience
Other Research Expertise (31)
Biomedical Optics
NIRS
fNIRS
Diffuse Correlation Spectroscopy
CBF
And 26 more
About
Dr. Daniel Milej is a multidisciplinary researcher with experience in medical biophysics, electronics, biocybernetics, biomedical optics and engineering. He is highly knowledgeable and experienced in a range of research techniques. He is a Scientist at the Lawson Research Institute, leading the transition of multimodal optical imaging systems from a research setting to clinical use in an ICU and OR environment, working closely with teams of nurses, surgeons, doctors and respiratory therapists. Previously, he was a Postdoctoral Fellow and Research Associate working on developing noninvasive modalities for brain activity monitoring in the Department of Medical Biophysics at Western University. Before that, Dr. Milej worked as a Researcher at the Nalecz Institute of Biocybernetics and Biomedical Engineering. He obtained his Ph.D. in 2014 from the Polish Academy of Science, specializing in Biocybernetics and Biomedical Engineering. He received his MSc in Electronics/Optoelectronics from the Military University of Technology, Warsaw, Poland, in 2008.
Most Relevant Publications (1+)

91 total publications

Assessment of cerebral perfusion in post-traumatic brain injury patients with the use of ICG-bolus tracking method

NeuroImage / Jan 01, 2014

Weigl, W., Milej, D., Gerega, A., Toczylowska, B., Kacprzak, M., Sawosz, P., Botwicz, M., Maniewski, R., Mayzner-Zawadzka, E., & Liebert, A. (2014). Assessment of cerebral perfusion in post-traumatic brain injury patients with the use of ICG-bolus tracking method. NeuroImage, 85, 555–565. https://doi.org/10.1016/j.neuroimage.2013.06.065

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Dr. Charles Lassiter, Ph.D.

Spokane, Washington, United States of America
10 Years Experience
Associate professor of philosophy with publications on mind, language, knowledge, and culture
Education

Fordham University

Ph.D., Philosophy / May, 2013

New York, New York, United States of America
Experience

Gonzaga University

Associate professor of philosophy / September, 2019 — Present

Tenured faculty member in the philosophy department

Gonzaga University

Assistant professor of philosophy / September, 2013 — August, 2019

Untenured professor in the philosophy department

Most Relevant Research Expertise
Cognitive Neuroscience
Other Research Expertise (11)
philosophy of mind
embodied cognition
extended cognition
philosophy of language
social psychology
And 6 more
About
My research is at the intersection of mind, technology, and culture. I regularly publish on topics including: 1\. embodied and encultured cognition 2\. computational models of reasoning 3\. epistemology of expertise Outside of my publishing work, I have taught philosophy at the undergraduate and graduate levels since 2015. My other professional role includes helping other humanists be more public-facing in their own research. Finally, I gather and analyze data from the philosophy job market on my blog: https://charleslassiter.weebly.com/blog
Most Relevant Publications (2+)

22 total publications

Review of David Chalmers, Reality+: virtual Worlds and the problems of Philosophy, New York: W.W. Norton & Company, 2022

Phenomenology and the Cognitive Sciences / Oct 20, 2022

Lassiter, C., & Kagan, A. (2022). Review of David Chalmers, Reality+: virtual Worlds and the problems of Philosophy, New York: W.W. Norton & Company, 2022. Phenomenology and the Cognitive Sciences. https://doi.org/10.1007/s11097-022-09864-0

New Ontological Foundations for Extended Minds: Causal Powers Realism

Phenomenology and the Cognitive Sciences / Jun 10, 2022

Lassiter, C., & Vukov, J. (2022). New Ontological Foundations for Extended Minds: Causal Powers Realism. Phenomenology and the Cognitive Sciences. https://doi.org/10.1007/s11097-022-09817-7

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Ping Luo

Toronto, Ontario, Canada
8 Years Experience
Assistant Professor at Algoma University
Education

University of Saskatchewan

Ph.D., Biomedical Engineering / September, 2019

Saskatoon, Saskatchewan, Canada

Beijing Institute of Technology

M.Eng., Biomedical Engineering / June, 2015

Beijing

Hunan University

B.Eng., Computer Science / June, 2010

Changsha
Experience

Princess Margaret Cancer Centre

Postdoctoral Researcher / November, 2019 — Present

I work in Dr. Trevor Pugh's lab and design cancer diagnosis and treatment strategies by analyze cell-free DNA and single cell sequencing data

Princess Margaret Cancer Centre

Bioinformatics Specialist / September, 2023 — Present

I work in Dr. Tak Mak's lab and study tumor immunology using single cell and TCR sequencing data.

Most Relevant Research Expertise
Cognitive Neuroscience
Other Research Expertise (21)
single-cell genomics
deep learning
complex network analysis
Genetics (clinical)
Genetics
And 16 more
About
8 years of science and engineering experience integrating multi-omics data to identify biomarkers for cancer studies. Seeking to apply data analytics expertise to develop new diagnosis and treatment strategies.
Most Relevant Publications (1+)

23 total publications

CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization

Neurocomputing / Jan 01, 2018

Tian, L.-P., Luo, P., Wang, H., Zheng, H., & Wu, F.-X. (2018). CASNMF: A Converged Algorithm for symmetrical nonnegative matrix factorization. Neurocomputing, 275, 2031–2040. https://doi.org/10.1016/j.neucom.2017.10.039

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Savannah Lokey, Ph.D.

Los Angeles, California, United States of America
9 Years Experience
Research specialist in social neuroscience and clinical psychology | Clinical expert in evidence-based therapy for schizophrenia and bipolar disorder
Education

Arizona State University

Bachelor of Science, Psychology / May, 2015

Tempe, Arizona, United States of America

University of Illinois at Chicago

Master of Arts, Psychology / December, 2017

Chicago, Illinois, United States of America

University of Illinois at Chicago

Doctor of Philosophy, Clinical Psychology / August, 2023

Chicago, Illinois, United States of America
Experience

National Institute of Mental Health

Intramural Research Training Fellow (IRTA) / June, 2015 — August, 2017

Laboratory of Brain & Cognition, Section on Neurocircuitry

Rush University Medical Center

Research Associate / August, 2018 — June, 2022

Social Neuroscience and Psychopathology Lab

University of California Los Angeles

Predoctoral Intern, Major Mental Illness track / July, 2022 — July, 2023

Semel Institute for Neuroscience and Human Behavior

Most Relevant Research Expertise
Cognitive Neuroscience
Other Research Expertise (14)
Schizophrenia
fMRI
Social Cognition
Neuropsychology
Behavioral Neuroscience
And 9 more
About
Dr. Savannah Lokey is a clinician-scientist with a passion for research and helping others. She received her Bachelor of Science in Psychology from Arizona State University in 2015, followed by a Master of Arts in Psychology in 2017 and Doctor of Philosophy in Clinical Psychology in 2023 from the University of Illinois at Chicago. Dr. Lokey has gained valuable experience in the field of clinical psychology and social neuroscience through various positions. She served as an Intramural Research Training Fellow (IRTA) at the National Institute of Mental Health, where she conducted research on how a rare genetic disorder (Moebius Syndrome) affects emotion processing and underlying neurocircuitry. She also worked as a Research Associate at Rush University Medical Center, where she focused on the social neuroscience of schizophrenia and bipolar disorder. She uses many techniques in her research, including fMRI, ecological momentary assessment (EMA), survey research, and passive smartphone sensor data. In addition to her research experience, Dr. Lokey has also received clinical training in various settings. She completed a predoctoral internship in the Major Mental Illness track at the University of California Los Angeles, where she provided psychotherapy and assessment services to individuals with severe mental illness (schizophrenia, bipolar disorder, etc.). She has deep knowledge about evidence-based interventions and principles of behavioral change, including Cognitive Behavioral Therapy (CBT), Acceptance and Commitment Therapy (CBT), trauma therapy, exposure therapy, cognitive remediation, and social skills training. Dr. Lokey is dedicated to using her knowledge and skills to improve the lives of individuals struggling with mental health issues. She is committed to expanding research on these conditions and developing and testing new treatment approaches in the field of psychology. In her free time, she enjoys hiking, reading, and spending time with her family and friends.
Most Relevant Publications (2+)

12 total publications

Endogenous visuospatial attention increases visual awareness independent of visual discrimination sensitivity

Neuropsychologia / May 01, 2019

Vernet, M., Japee, S., Lokey, S., Ahmed, S., Zachariou, V., & Ungerleider, L. G. (2019). Endogenous visuospatial attention increases visual awareness independent of visual discrimination sensitivity. Neuropsychologia, 128, 297–304. https://doi.org/10.1016/j.neuropsychologia.2017.08.015

Inability to move one's face dampens facial expression perception

Cortex / Dec 01, 2023

Japee, S., Jordan, J., Licht, J., Lokey, S., Chen, G., Snow, J., Jabs, E. W., Webb, B. D., Engle, E. C., Manoli, I., Baker, C., & Ungerleider, L. G. (2023). Inability to move one’s face dampens facial expression perception. Cortex, 169, 35–49. https://doi.org/10.1016/j.cortex.2023.08.014

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Yseult Héjja-Brichard, Ph.D.

Baltimore, Maryland, United States of America
3 Years Experience
Postdoctoral researcher in Biological Sciences at University of Maryland Baltimore County
Education

Université Paul-Sabatier

Ph.D., Neuroscience, Cognition, Behaviour / June, 2020

Toulouse

Université Paul-Sabatier

Msc, Neuroscience, Cognition, Behaviour / June, 2015

Toulouse

Universite Grenoblé Alpes

Msc, Cognitive Psychology / June, 2014

Saint-Martin-d'Hères
Experience

University of Maryland, Baltimore County

Postdoctoral researcher / November, 2021 — Present

CNRS Délégation Occitanie Est

Postdoctoral researcher / November, 2020 — November, 2021

Most Relevant Research Expertise
Cognitive neuroscience
Other Research Expertise (6)
Natural statistics
Visual cognition
Sensory ecology
Stereoscopic vision
Sensory Systems
And 1 more
About
Yseult Héjja-Brichard received her PhD in Neuroscience, Cognition, and Behaviour from Université Paul-Sabatier Toulouse, France in 2020. She subsequently completed her first postdoctoral training at the Centre for functional and evolutionary ecology (CNRS) in Montpellier, France. She is now working as a postdoctoral research associate at the University of Maryland, Baltimore County. Yseult Héjja-Brichard’s research interests lie at the intersection of cognitive neuroscience and behavioural ecology. Her work has primarily focused on understanding how the brain efficiently processes information to enable decisions and behaviours. She informs those processes using an evolutionary and ecological perspective.
Most Relevant Publications (5+)

11 total publications

Processing of Egomotion-Consistent Optic Flow in the Rhesus Macaque Cortex

Cerebral Cortex / Jan 19, 2017

Cottereau, B. R., Smith, A. T., Rima, S., Fize, D., Héjja-Brichard, Y., Renaud, L., Lejards, C., Vayssière, N., Trotter, Y., & Durand, J.-B. (2017). Processing of Egomotion-Consistent Optic Flow in the Rhesus Macaque Cortex. Cerebral Cortex. https://doi.org/10.1093/cercor/bhw412

Connectivity of the Cingulate Sulcus Visual Area (CSv) in Macaque Monkeys

Cerebral Cortex / Oct 17, 2020

De Castro, V., Smith, A. T., Beer, A. L., Leguen, C., Vayssière, N., Héjja-Brichard, Y., Audurier, P., Cottereau, B. R., & Durand, J. B. (2020). Connectivity of the Cingulate Sulcus Visual Area (CSv) in Macaque Monkeys. Cerebral Cortex, 31(2), 1347–1364. https://doi.org/10.1093/cercor/bhaa301

Stereomotion Processing in the Nonhuman Primate Brain

Cerebral Cortex / Mar 28, 2020

Héjja-Brichard, Y., Rima, S., Rapha, E., Durand, J.-B., & Cottereau, B. R. (2020). Stereomotion Processing in the Nonhuman Primate Brain. Cerebral Cortex, 30(8), 4528–4543. https://doi.org/10.1093/cercor/bhaa055

Good scientific practice in EEG and MEG research: Progress and perspectives

NeuroImage / Aug 01, 2022

Niso, G., Krol, L. R., Combrisson, E., Dubarry, A. S., Elliott, M. A., François, C., Héjja-Brichard, Y., Herbst, S. K., Jerbi, K., Kovic, V., Lehongre, K., Luck, S. J., Mercier, M., Mosher, J. C., Pavlov, Y. G., Puce, A., Schettino, A., Schön, D., Sinnott-Armstrong, W., … Chaumon, M. (2022). Good scientific practice in EEG and MEG research: Progress and perspectives. NeuroImage, 257, 119056. https://doi.org/10.1016/j.neuroimage.2022.119056

Symmetry Processing in the Macaque Visual Cortex

Cerebral Cortex / Oct 06, 2021

Audurier, P., Héjja-Brichard, Y., De Castro, V., Kohler, P. J., Norcia, A. M., Durand, J.-B., & Cottereau, B. R. (2021). Symmetry Processing in the Macaque Visual Cortex. Cerebral Cortex, 32(10), 2277–2290. https://doi.org/10.1093/cercor/bhab358

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David J. Hamilton, PhD

Fairfax, Virginia, United States of America
47 Years Experience
PhD Neuroscience focused on computational modeling of biologically plausible neuronal circuits.
Education

George Mason University

Ph.D., Neuroscience / 2016

Fairfax, Virginia, United States of America

Loyola University Maryland

MS, EE / June, 1981

Baltimore, Maryland, United States of America

Penn State

BS, EE / June, 1977

State College, Pennsylvania, United States of America
Experience

George Mason University

Affiliate Faculty / October, 2023 — Present

Neuroscience

Intelligent Mission Consulting Services (IMCS)

Neuroscientist / July, 2020 — December, 2023

AI/ML Subject Matter Expert

Northrop Grumman

Neuroscience Software Engineer / July, 2004 — July, 2020

AI/ML Software Engineer

Most Relevant Research Expertise
Cognitive Neuroscience
Other Research Expertise (5)
Biomedical Engineering
Artificial Intelligence
Cellular and Molecular Neuroscience
Modeling and Simulation
Machine Learning
About
David J. Hamilton, PhD Neuroscience, GMU, 2016. His current research focus is Efficient Generative AI leveraging biologically plausible computational circuits and spiking neural networks to implement transformer-based algorithms. Dr. Hamilton has extensive R&D experience in Generative AI and Machine Learning capability development. Specific projects include transformer-based LLM sensor parameter tuning, analytic prediction, Cyber Threat Analysis Platform R&D, US Treasury cyber defense, credit card fraud detection, sensor fusion/analysis, LIDAR signal characterization, and active/passive sonar signal detection/classification. Companies for which David has worked include Intelligent Mission Consulting Services (2020-2023), Northrop Grumman (2004-2020), NeuralTech/CardSystems (1994-2004), Raytheon (1980-1994), and AAI (1977-1980). Earlier in his career, David received his MSEE (1981) from Loyola University, Maryland, and his BSEE (1977) from PSU. He is well published, holds memberships in Society for Neuroscience (SfN), AAAS, IEEE, and continues to maintain his association with GMU as an Affiliate Faculty.
Most Relevant Publications (3+)

14 total publications

Name-calling in the hippocampus (and beyond): coming to terms with neuron types and properties

Brain Informatics / Jun 09, 2016

Hamilton, D. J., Wheeler, D. W., White, C. M., Rees, C. L., Komendantov, A. O., Bergamino, M., & Ascoli, G. A. (2016). Name-calling in the hippocampus (and beyond): coming to terms with neuron types and properties. Brain Informatics, 4(1), 1–12. https://doi.org/10.1007/s40708-016-0053-3

Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit

Neural Networks / Oct 01, 2008

Scorcioni, R., Hamilton, D. J., & Ascoli, G. A. (2008). Self-sustaining non-repetitive activity in a large scale neuronal-level model of the hippocampal circuit. Neural Networks, 21(8), 1153–1163. https://doi.org/10.1016/j.neunet.2008.05.006

Molecular expression profiles of morphologically defined hippocampal neuron types: Empirical evidence and relational inferences

Hippocampus / Oct 09, 2019

White, C. M., Rees, C. L., Wheeler, D. W., Hamilton, D. J., & Ascoli, G. A. (2019). Molecular expression profiles of morphologically defined hippocampal neuron types: Empirical evidence and relational inferences. Hippocampus, 30(5), 472–487. Portico. https://doi.org/10.1002/hipo.23165

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Example Cognitive Neuroscience projects

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

Optimizing User Experience

A tech company can collaborate with a Cognitive Neuroscience expert to optimize the user experience of their digital products. By understanding how the brain processes information and interacts with technology, the researcher can provide valuable insights on improving usability, reducing cognitive load, and enhancing user engagement.

Neuromarketing Research

A marketing agency can partner with a Cognitive Neuroscience researcher to conduct neuromarketing studies. By using techniques such as EEG and fMRI, the researcher can measure consumers' brain responses to marketing stimuli, helping the agency create more persuasive and impactful advertising campaigns.

Understanding Consumer Decision-Making

A consumer goods company can collaborate with a Cognitive Neuroscience expert to gain a deeper understanding of consumer decision-making processes. By studying the neural mechanisms involved in decision-making, the researcher can provide insights on product preferences, pricing strategies, and effective marketing messages.

Developing Brain-Computer Interfaces

A technology company can work with a Cognitive Neuroscience researcher to develop innovative brain-computer interfaces (BCIs). By leveraging their knowledge of neural signals and brain activity, the researcher can contribute to the design and development of BCIs that enable direct communication between the brain and external devices, opening up new possibilities for human-computer interaction.

Improving Mental Health Solutions

A healthcare company can collaborate with a Cognitive Neuroscience expert to improve mental health solutions. By studying the neural basis of mental health disorders, the researcher can contribute to the development of more effective treatments, personalized interventions, and early detection methods.