International Workshop: Exploring Brain Dynamics through Modelling, Numerics, and Experiments

Date: Monday, May 20 and Tuesday, May 21, 2024

Location: School of Mathematics & Statistics, University of Glasgow.

Description: The "International Workshop: Exploring Brain Dynamics through Modelling, Numerics, and Experiments" is a collaborative forum bringing together researchers, scientists, and experts from various disciplines to delve into the complexities of brain dynamics. Through the integration of mathematical modelling, numerical simulations, and experimental approaches, participants aim to gain deeper insights into the functioning of the brain at different levels, from neuronal networks to cognitive processes. The workshop provides a platform for sharing cutting-edge research, discussing methodological advancements, and fostering interdisciplinary collaborations to further our understanding of brain dynamics and its implications for neuroscience, psychology, artificial intelligence, and related fields.

Registration: Registration is free. We kindly require those interested in attending to register before May 6, 2024. Please contact the organizers to register (e-mail contacts are provided below) by indicating when you intend to participate. Please write your e-mail with [workshop registration] in the subject line.

Venue spaces: Our building is open from Monday to Friday 8am to 5pm. Within the building, we have 2 visitor offices, 209A and 222 on Level 2. These rooms are available on a non-bookable, hot desk basis. You can also use the common room on level 3. Out with the building, you can access the ground floor public working spaces in the ARC, the University’s innovative research centre, which is open Monday to Friday 8am to 8pm. There is also plenty of public working space within the James McCune Smith (JMS) Building. Both the ARC and the JMS are short walks from our own School building. For access to Wi-Fi you can use either Eduroam or UofG Visitor Wifi. 

Programme:

Organizing Committee:

Further Information (address and contacts): https://www.gla.ac.uk/schools/mathematicsstatistics/about/contact/

This workshop is supported by the International Science Partnerships Fund (ISPF), the UK Research and Innovation (UKRI) and the Engineering and Physical Sciences Research Council Research Council [grant number EP/Y001583/1]. Partial support has also being received from the School of Mathematics & Statistics, University of Glasgow, UK.