People

Valery is a research scientist at the Dura-Bernal Lab, where he is in charge of developing, documenting and disseminating the software tool NetPyNE (www.netpyne.org). He obtained his M.S. in Applied Math and Computer Science from Tavrida National University (Ukraine) in 2011, followed by solid and diverse experience in enterprise software engineering. Eventually Valery became interested in computational neuroscience, and after some self-studying he joined and completed internship here at the lab.

James completed an undergraduate in Computer Engineering at Purdue University and his MD at SUNY Downstate, then served as a resident physician on the COVID wards at King's County Hospital before switching to computational neuroscience research where he worked on NetPyNE implementation of thalamocortical and nociceptive networks.

He is interested in the application of machine learning to neuroscience--especially predictive methods for parametric data exploration--and, more broadly, to other life sciences/and clinical practice. 
 

Eugenio is a nuclear engineer but soon in his career, he became interested in biology and neuroscience. Then, he completed a Ph.D. in Physics studying the role of adaptation currents and history-dependent stochastic effects on neural coding under the supervision of Dra. Inés Samengo at Balseiro Institute (Bariloche, southern Argentina). Then, he moved to Italy to broaden his interests in cognitive neuroscience under the self-organized tutorship of Prof. Dr. Alessandro Treves, who introduced him to the grid cells' world, spatial coding, and all that, in a project lead by Edvard Moser.

Ph.D. Candidate at SUNY Downstate Health Sciences University

M.Sc. in Neuroscience from the Federal University of São Paulo
B.S. in Biomedical Engineering from the Vale do Paraíba University
Visiting Student at the University of Illinois at Chicago

My interests are in the development of biophysically inspired computational models of the brain, bridging the gap between fundamental questions in neuroscience and computer simulations.

B.S. in Neuroscience from the University of Minnesota 

Formerly involved in the study of addiction and reward guided decision making using in vivo mouse models, my focus has since shifted to computational neuroscience. Currently, I am interested in studying the underlying mechanisms of disease states using data driven multi-scale models of the brain. 

Currently an MSc student in Biological Sciences with a Mention in Neuroscience at University of Valparaíso, Chile (2019 - present).

BS in Physics with a Mnetion in Astronomy, Northern Catholic University (UCN), Antofagasta, Chile (2013 - 2018).

I'm a student intern at the Dura-Bernal lab. I'm developing an existing computational model of the area CA1 of the hippocampus (Cutsuridis et al.) to study encoding and retrieval of spatiotemporal input patterns. The aim is to research how the performance of the network is affected by altering its physiological structure to emulate neuropsychiatric diseases such as depression.

I'm currently carrying out a PhD at the University of Hertfordshire in Computer Science.

I am a Ph.D. student located in Sweden. I am associated with Dura-Bernal Lab as a student intern. My Ph.D. thesis revolves around using mathematical models to describe different functions of the brain. Currently, I am working to integrate models of the neurovascular coupling with models describing electrophysiological properties. This effort aims to bridge the gap between these two interconnected systems.