Here are the last activities, news, papers from D’Angelo’s lab
- Published: December 30, 2020
We are glad to announce that the 2020 Casella Prize has been assigned to Fabio Benfenati, Professor of Neurophysiology, University of Genova and Director of Center for Synaptic Neuroscience and Technology at the Italian Institute of Technology (IIT).
Computational modeling predicts the basis of local computation in brain microcircuits
Although it is generally assumed that the brain operates as an adaptable processor, its intrinsic mechanisms of computation and learning remain largely unknown. In a recent publication on «Nature Communications Biology», the team of the Neurophysiology Laboratory of the University of Pavia directed by Prof. Egidio D’Angelo has revealed how the microcircuit of the cerebellum transform internal signals implementing de facto computational algorithms that can be modified through learning.
The granular layer of cerebellum has been long thought to perform spatial pattern separation and adaptive filtering but this theoretical prediction remained untested so far.
Our computational models, based on a realistic reconstruction of the cerebellar network, have predicted that long-term synaptic plasticity would reconfigure the granular layer functioning changing the gain and bandwidth of its transmission channels. This prediction has then been validated by using advanced recordings with a multispot 2-photon confocal microscope and voltage-sensitive dye imaging.
The discovery of adaptable transmission channels supports the long-sought spatiotemporal reconfiguration of the inputs that cerebellum receives through its numerous sources. This turns into a multidimensional remapping of brain activity that allows the brain to learn from errors implementing sensorimotor and cognitive controllers and to operate in a predictive manner.
Through a network of collaborations inside the Human Brain Project, the new microcircuit properties reported here are going to be implemented into large scale models and to be inserted in close-loop controllers, neurorobots, neuromorphic computers and virtual brains applicable to neuroengineering, artificial intelligence and neurology.
Casali S., Tognolina M., Gandolfi D., Mapelli J., D’Angelo E. (2020). Cellular-
resolution mapping uncovers spatial adaptive filtering at the rat cerebellum input stage. Nature Communications Biology.
We are glad to announce the:
5th HBP Student Conference
Interdisciplinary Brain Research
1–4 February 2021 | Virtual Conference
Abstract submission deadline: 6 November 2020
Alice Geminiani | University of Pavia
Ingrid Reiten | University of Oslo
For more info visit the dedicated website
18 September 2020 h 17:00
Space and time in the brain
Kavli Institute for Systems Neuroscience, Trondheim, Norway
2014 Nobel Laureate in Physiology or Medicine
HBP Tea & Slides Session V, 2 July 2020:
Robin De Schepper (University of Pavia) who has currently started his PhD in computational neuroscience, will present his talk with the title “Quality of Life in NEURON: My expressive multiscale Python tools”. Robin has developed a series of tools aimed at other neuroscientists working with the NEURON simulator to improve our daily experience modelling with NEURON in Python. The toolkit consists of Patch, a compatible interface to NEURON and drop-in replacement that adds new features (like out of the box parallelization) and fixes common bugs and strange “gotchas”. Glia & Astrocyte: An automatically compiling mod files library & packet manager. Arborize: High-level expressive descriptions of cell models.
Marialuisa Tognolina (University of Pavia) has a background in Neurophysiology and will present her talk “Cellular-resolution two-photon microscopy uncovers the spatio-temporal organization of the cerebellar granular layer activity”. Marialuisa’s group investigated the spatio-temporal organization of activity in the cerebellar granular layer through a scanless two-photon microscope (the SLM-2PM). The granular layer activity was recorded in different pharmacological conditions as well as before and after synaptic plasticity induction by simultaneously acquiring calcium signals from hundreds granule cells, while maintaining the single-cell resolution. The SLM-2PM data were used to validate predictions from a realistic network model of the cerebellar granular layer. Both the experimental and computational results show that the cerebellar granular layer activity is organized in center-surround units that are well suited to support dense cluster computation.