Dynamical Systems
Dynamical Systems
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Tatiana Engel
The Engel lab in the Department of Neuroscience at Cold Spring Harbor Laboratory invites applications from highly motivated candidates for a postdoctoral position working on the cutting-edge research in computational neuroscience. We are looking for theoretical/computational scientists to work at the exciting interface of systems neuroscience, machine learning, and statistical physics, in close collaboration with experimentalists. The postdoctoral scientist is expected to exhibit resourcefulness and independence, developing computational models of large-scale neural activity recordings with the goal to elucidate neural circuit mechanisms underlying cognitive functions. Details: https://cshl.peopleadmin.com/postings/15840
Dr. Udo Ernst
In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use network modelling, numerical simulation, and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work done in the lab of Prof. Dr. Andreas Kreiter, also at the University of Bremen. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas.
Dr Margarita Zachariou
We are looking for a Post-Doctoral Fellow and/or a Laboratory Scientific Officer(research assistant) to join the Bioinformatics Department of the Cyprus Institute of Neurology and Genetics. The team focuses on computational neuroscience, particularly on (1) building biophysical models of neurons and neuronal networks to study neurological diseases and (2) developing state-of-the-art analysis pipelines for neural data across scales, focusing on disease-specific patterns and integrating diverse data modalities. The successful candidate(s) will be working on multiscale models of magnetoelectric and ultrasonic effects on neuronal dynamics as part of the EU-Horizon funded META-BRAIN (https://meta-brain.eu).
Dr. Dmitrii Todorov
Title: Understanding Neural Mechanisms of Human Motor Learning by Using Explainable AI for Time Series and Brain-Computer Interfaces This PhD project will focus on uncovering mechanisms of human motor adaptation by using advanced computational tools. By analyzing (and potentially collecting new) EEG and MEG + behavioral data from multiple datasets you will explore how the brain adapts movements to external perturbations. There will also be an opportunity to test the newly obtained understanding using a brain-computer interface (BCI) protocol. The project will be co-supervised by Dr. Dmitrii Todorov and Dr. Veronique Marchand-Pauvert, and will be carried out within an international interdisciplinary team.
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