Program


Please, check this page again in the next weeks for the final titles and further details.

 

Aims and Program

The school will start on Monday, August 30th, 2021, at 9:00 am, will occupy Tuesday, Wednesday and Thursday (from 9:30 am to 5:30 pm, with coffee break, lunch time and tea time) and will finish on Friday, September 3rd, 2021, at 4 pm.

The daily schedule is structured as follows:

  • Two one-hour-long lectures
  • Two one-hour-long hand on
  • One session of flash talks from the Students or Laboratory

(the last session will permit to certificate the successful participation to the school, so that PhD courses could recognize credits to the students attending the school)

The main topics will be:

  • The brain at the micro scale – models
  • The brain at the micro scale – experiments
  • The brain at the meso scale – models
  • The brain at the meso scale – experiments
  • The brain at the macro scale – imaging
  • Robotics
  • Brain pathologies

Programma

 

Main topics and Lecturers

Anna Letizia Allegra Mascaro – LENS, Firenze, Italy
Brain-state dependent changes in the the distributed cortical responsiveness to sensori stimuli

Alberto Antonietti – EPFL, Svizzera
Neurorobotics platform

Silvia Casarotto – University  of Milan, Italy
Disorders of consciousness

Claudia  Casellato – University of Pavia, Italy
Multiscale brain modeling: the cerebellum usecase  + live demos

Marco Dal Maschio – University of Padoa, Italy
Brain activity and functional architectures

Egidio D’Angelo – University of Pavia, Italy
Multiscale brain modelling: principles of construction and validation

Damien  Depannemaecker – CNRS, Paris, France
Dynamics of single neuron models.

Shyam Diwakar – Amrita Mind Brain Center, India
Oh, the Places You’ll Go! – From Neurons to Population Signals to Learning Algorithms and Virtual Laboratories

Kenji Doya – Okinawa Institute of Science and Technology Graduate University, Japan
Neural circuits for mental simulation

Claudia Gandini Wheeler-Kingshott – University College London, UK &
University of Pavia, Italy
Quantitative MRI of the brain

Alice  Geminiani – University of Pavia, Italy
Applications of multiscale cerebellar modelling + live demos

Michele Giugliano – SISSA, Italy
Correlation Transfer in Cortical Neurons

Alberto Mazzoni – Scuola Superiore Sant’Anna Pisa, Italy
Design and optimization of peripheral neural interfaces

Michele  Migliore – CNR Palermo, Italy
An eXplainable Artificial Intelligence approach for robots using hippocampal circuitry to execute cognitive functions.

Fulvia Palesi – BCC Pavia, Italy
Modelling of human brain dynamics in physiological and neurodegenerative conditions

Alessandra Laura Giulia Pedrocchi – Politecnico Milano, Italy
NeuroEngineering

Michele  Piana – University of  Genoa, Italy
Methods for Image and data analysis

Isabella Pozzi – CWI, Amsterdam Holland
How the brain can implement reward-based error backpropagation

Simone  Sarasso – University  of Milan, Italy
Brain injuries

FLASH TALKS

NAME SURNAME INSTITUTION TITLE
Davide Caron Istituto Italiano di Tecnologia – Genova

A biohybrid approach for temporal lobe epilepsy treatment

   
Matteo Bruzzone University of Padua INSIGHT ON A SMALL VERTEBRATE BRAIN    
Divyansh Gupta Institute of Science and Technology, Austria Retinal adaptation to natural luminance and contrast statistics    
Martina Fanghella University of Milan Somatosensory evoked potentials reveal reduced embodiment of emotions in autism    
Guido Caccialupi University of Milan The Motor Root of Predictive Mind in Implicit Mentalizing    
Thomas Tiotto University of Groningen Neuromorphic                   computing with memristors
Davide Cipollini University of Groningen Generative adversarial network for neuromorphic materials    
Alessio Buccino ETH Zurich A multimodal strategy to construct biophysically detailed neuronal models    
Marcos Fabietti Nottingham Trent University Machine Learning Methods in Detection and Removal of Artefacts from Neuronal Signals    
Sofia Zangila National and Kapodistrian University of Athens Principles of developing cortical networks