pinotsislab - News #grantspinotsislab - News #grantshttps://www.pinotsislab.com/blogs/tag/grantsFri, 20 Mar 2026 14:11:54 -0700http://zoho.com/sites/<![CDATA[New NIH R01 Grant]]>https://www.pinotsislab.com/blogs/post/new-r01-nih-grantOur Lab has been awarded an R01 grant from t he National Institutes of Health (NIH). This is a collaboration with MIT's Departments of Biomedical Engin ]]>

Next generation fMRI

Our Lab has been awarded an R01 grant from the National Institutes of Health (NIH). This is a collaboration with MIT's Departments of Biomedical Engineering and Brain and Cognitive Sciences, that aims at developing the next generation fMRI. The project will focus on understanding  a new class of fMRI responses, called hemogenetic responses. These offer unprecedented spatial resolution at a cellular scale -- along with wide brain coverage of neural activity. In contrast to usual fMRI,  which cannot isolate neural activity at the microscale, hemogenetics allow one to record activity from single cells and circuits. Thus, one can investigate the details of how single neurons interact on a brain wide scale. We will investigate how stimulus information is processed while propagating in large brain networks and develop tools that can be used by next generation fMRI researchers.
]]>Mon, 28 Feb 2022 10:52:26 +0000<![CDATA[New Lab Grant]]>https://www.pinotsislab.com/blogs/post/new-lab-grant

UK-Canada AI Initiative Grant


We have been awarded a grant to work for the UK- Canada Artificial Intelligence (AI) Initiative. This is a collaboration with colleagues from UCL, Kings, Toronto, Ottawa and McGill that will build computational psychiatry tools using state of the art machine learning algorithms.


Our goal is to come up with new ways to characterize psychiatric state and help schizophrenia patients.


Post Doctoral Position available

 

The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University of London—City is looking for a Post Doc with a strong background in computational neuroscience and/or EEG neurofeedback.

 

The Lab focuses on developing new algorithms for the analysis of human and animal brain imaging data. These are based on computational models of neural dynamics and state of the art machine learning techniques. Particular emphasis is put on applications in Computational Psychiatry and developing models of brain pathology. Also, the Lab develops brain theories that can explain brain pathology, using theoretical tools from deep neural networks and Bayesian brain theories. The lab also performs EEG recordings and plans to start experiments with EEG neurofeedback.

 

The Post Doc shall conduct research in one or more of these areas. He/she will have the opportunity to shape the details of their project based on their specific interests.He/she will be part of an international group of collaborators UCL, Kings, Toronto, Ottawa and McGill whose aim is to build computational psychiatry tools using state of the art machine learning algorithms.

 

The successful candidate should have a PhD in computational neuroscience, computer science, engineering, physics or related discipline. Expertise in one or more modern scientific computing programming language (Python, Matlab or R) is essential. The candidate should also have familiarity with one or both of: i) the analysis of human and/or animal brain imaging data, and ii) EEG experiments, including EEG neurofeedback.

 

For informal inquiries, please email Dr. Dimitris Pinotsis at pinotsis@mit.edu

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