We are interested in understanding
how the brain works.
For this purpose, we use the available experimental
data to design, implement and analyze realistic
models of neurons, synapses, and networks.
The goal is to uncover the mechanisms underlying higher
brain functions, to help the development of innovative
therapies to treat brain diseases and dysfunctions.
The list of scientific publications will give you an
idea of how we do that.
We regularly run dissemination and training events to
introduce users interested in applying our models to
their scientific problem. See the "Events" tab for more
information on past events. The next School on Brain
Simulations will be in Bilbao June 3-7 2024.
Stay tuned for more info.
National and International Collaborations
University of Naples Federico II Department of Neuroscience
via Pansini 5, 80131 Naples, Italy
European Brain Research Institute
via del Fosso di Fiorano 64, 00143 Rome, Italy
University of Palermo Department of Mathematics and Computer Science
via Archirafi, Palermo, Italy
IPMC - CNRS
UMR7275, Valbonne, France
External Funding
The
EBRAINS-Italy
EBRAINS-Italy is a new digital research infrastructure,
stemming out from the EU-funded Human Brain Project
and funded by the Italian Recovery fund (PNRR),
gathering an extensive range of data and tools for
neuroscience-related research.
The
PRIN HIPPOCOMP
In HIPPOCOMP we will use experimental and
computational methods to make breakthrough
advancements in i) the knowledge on human
hippocampal circuits; ii) in the generation of human
hippocampus model endowed with realistic
connectivity. We will apply forefront imaging
methods to collect high resolution data, which will
be used to develop custom algorithm allowing to
generate cell placement and a plausible connectivity,
providing a valuable tool to be endowed with
customized single neuron models developed by
researchers within the scientific community.
The
FISA EIDD
major objective is to provide the
neuroscience community with a unique, high TRL (8-9),
workflow for studying and predicting early neuronal
changes (“Targets Data Base-TDB), integrating
in-silico biophysically detailed computational models,
in vitro experiments, and experimental molecular
biology methods, to accelerate the starting of the
pre-clinical phase by cutting costs and time.
