Welcome to the MS-BrainMarker & HPEEC-BRAINMOD Projects
Following an interdisciplinary approach, the goals of these projects are to advance the frontiers of neuroscientific, clinical and computing knowledge that aim at identifying and validating non-invasive brain biomarkers that can predict the biological basis of key neural processes in the healthy and pathological brain, and to optimize our methods for energy-efficient high-performance computing.
Highlights
CNS 2025 workshop
We’re excited to announce that the results of our project will be presented at the upcoming workshop "Modeling Extracellular Potentials: Principles, Methods, and Applications", part of the 34th Annual Computational Neuroscience Meeting (CNS 2025).
https://nicolomeneghetti.github.io/ECP_CNS2025_Wshop
📅 Date: 09 July 2025
🕘 Time: 9:00–17:30 (CEST)
📍 Location: Room 5, Florence, Italy
🧠 Workshop Title: Inverse Modelling of Field Potentials from Simulations of Spiking Network Models: Applications in Neuroscience Research and Clinical Settings
If you’re attending CNS 2025, we’d love for you to join us—and don’t forget to follow our work for future updates!
9 June 2025
Best Paper Awards
We are thrilled to share two exciting recognitions of our recent work!
Our paper published in Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, on behalf of the Alzheimer’s Association, has been recognized as one of the top 10 most-cited papers of 2023:
In addition, our conference paper titled Surrogate Modelling to Study E/I Imbalances in Children with Developmental Dyslexia received the Best Paper Award at the Tenth International Conference on Neuroscience and Cognitive Brain Information, held in Lisbon, Portugal, from March 9–13, 2025.
10 April 2025
SEBiBC 2024
We had a great time presenting the work 'Integrating machine learning and brain modelling to assess biomarkers’ capabilities in informing on alterations of cortical circuit parameters in dementia' at SEBiBC 2024!
16 October 2024
Projects PID2022-139055OA-I00 & PID2022-137461NB-C31 funded by
Have a look at the website of the Neural Engineering and Computing (NECO) Lab.