We are glad to announce the
Hackathon on cerebellum modelling
3-15 January 2020
The Hackathon on CEREBELLUM MODELLING will illustrate cerebellum models and provide tutorials for their development and applications. The course is designed with selected presentations and large space for hands-on experience. The attendees will be introduced to the main themes of cerebellum modelling and to the use of the HUMAN BRAIN PROJECT research infrastructure, Brain Simulation Platform and future EBRAINS, addressing the principles of multiscale brain modeling.
In this Hackathon, the attendees will elaborate and simulate computational models of neurons and networks of the cerebellum. Topics will include:
- an illustration of the Brain Simulation Platform models and use cases and of the related modeling languages (PYTHON, NEURON, NEST, PYNN, SONATA, ARBOR)
- the foundations of realistic data-driven neuronal modeling, including biophysical principles, model matching to experimental data (optimization), supervised model simplification.
- the foundations of realistic data-driven microcircuit modeling, especially cell placement and connectivity in microcircuit scaffolds
- the scale-up to large-scale and brain models and their incorporation in robots, neuromorphic hardware and virtual brain.
Organized by Neurocomputation Laboratory, Dept. of Brain and Behavioral Sciences, University of Pavia
Via Forlanini 6 – 27100 – Pavia, Italy
The participation of researchers and students is recommended, with particular reference to those involved in modeling and computational studies and attending to PhD programs.
Program and registration at this link
Progetto in collaborazione con Centro Fermi
Microcircuiti Neuronali Locali (MNL)
Tecniche Avanzate per Applicazioni Biomediche
Il Progetto Microcircuiti Neuronali Locali (MNL) si occupa della comprensione della organizzazione e delle funzioni del cervello (Figura 11). La complessità del cervello dipende dal modo in cui i neuroni interagiscono e comunicano a livello delle sinapsi. I neuroni sono circa 1000 miliardi e le sinapsi un milione di miliardi e generano in tempo reale funzioni complesse come il movimento, la percezione e il pensiero. Il Progetto MNL, inserito nell’Human Brain Project europeo, cerca di impiegare modelli matematici sofisticati per ricostruire la funzione neuronale, circuitale e cerebrale. Nel prossimo triennio si propone tre obiettivi principali: i) completare il campione di misure in corso per aumentarne la potenza statistica; ii) esplorare i meccanismi di non linearità dell’accoppiamento neuro-vasoclare; iii) comparare il comportamento della corteccia cerebellare con quello della corteccia cerebrale, sulla base delle sue proprietà molecolari e microstrutturali.
We are pleased to send this invitation round
The Chicago chapter of the international association of Italian scientists (AIRIcerca) would like to invite you to its social event that will take place during the upcoming conference Neuroscience 2019! We will get together on Sunday October 20th at 8.00pm at the Emporium – Fulton Market (839 W Fulton Market-Chicago, https://
Please RSVP using this link: https://forms.gle/
The bar is easily reachable by train (green line, Morgan stop) from the conference venue, https://goo.gl/maps/
You will need a picture ID (passport or driver’s license) to access the bar.
We look forward to meeting you all!
Dalia De Santis,
Alessandra La Rosa,
Newsletter of the University of Pavia
The wonder of Human Brain; 40° Rimini Meeting, 18-24 August 2019 STREAM
We are glad to invite you at the seminar entitled:
Prof. Carlo Pierpaoli
Quantitative Medical Imaging
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
National Institute of Health (NIH)
Monday 30 September 2019, h 14:00
Corso Strada Nuova
Dr. Pierpaoli’s is an Investigator in the Quantitative Medical Imaging Section, National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH. Research in his lab is aimed at extracting accurate and reproducible biomarkers from data acquired with non-invasive imaging techniques, primarily Magnetic Resonance Imaging (MRI). Dr. Pierpaoli is mainly known for his contributions in the field of diffusion MRI applied to brain studies. He is a fellow of the International Society of Magnetic Resonance and received the NIH Award of Merit for performing the first diffusion tensor imaging study of the human brain.
Tensor‐based morphometry (TBM) performed using T1‐weighted images (T1WIs) is a well‐established method for analyzing local morphological changes occurring in the brain due to normal aging and disease. However, in white matter regions that appear homogeneous on T1WIs, T1W‐TBM may be inadequate for detecting changes that affect specific pathways. In these regions, diffusion tensor MRI (DTI) can identify white matter pathways on the basis of their different anisotropy and orientation. In the last couple of years, our lab has investigated the possibility of performing TBM using deformation fields constructed using all scalar and directional information provided by the diffusion tensor (DTBM) with the goal of increasing sensitivity in detecting morphological abnormalities of specific white matter pathways.
In this talk I will present results that indicate that DTBM could be a powerful tool for detecting morphological changes of specific white matter pathways in normal brain development and neurological disorders.