Here are the latest publications from our research group:
2024
“Information Transfer in Neuronal Circuits: From Biological Neurons to Neuromorphic Electronics” INTELLIGENT COMPUTING
Gandolfi, D; Benatti L.; Zanotti T.; Boiani GM.; Bigiani A.; Puglisi FM.; Mapelli J.
https://spj.science.org/doi/10.34133/icomputing.0059
2023
“Biologically Plausible Information Propagation in a CMOS Integrate-and-Fire Artificial Neuron Circuit with Memristive Synapses”, NANO Futures
Benatti, Lorenzo; Zanotti, Tommaso; Gandolfi, Daniela; Mapelli, Jonathan; Puglisi, Francesco Maria
https://doi.org/10.1088/2399-1984/accf53
“Editorial: Insights in cellular neurophysiology: 2022”, Front. Cell. Neurosci.
Mapelli, L.; Mapelli, J., Wicher, D.
https://www.frontiersin.org/articles/10.3389/fncel.2023.1330849/full
“Full-scale point-neuron model of the mouse hippocampal microcircuits”, Nature Computational Science
Boiani, G. M.; Solinas, S.; Preti, G.; Manini, A.; Migliore, M.; Mapelli, J.; Gandolfi, D.
https://www.nature.com/articles/s43588-023-00417-2
“Full-scale scaffold model of the human hippocampus CA1 area”, Nature Computational Science
Gandolfi, Daniela; Mapelli, Jonathan; MG Solinas, Sergio; Triebkorn, Paul; D’Angelo, Egidio; Jirsa, Viktor; Migliore, Michele
https://www.nature.com/articles/s43588-023-00417-2
2022
“A realistic morpho-anatomical connection strategy for modelling full-scale point-neuron microcircuits”, Scientific Reports, 2022.
Gandolfi D, Mapelli J, Solinas S, De Schepper R, Geminiani A, Casellato C, D’Angelo E, Migliore M.
https://doi.org/10.1038/s41598-022-18024-y
“A Hybrid CMOS-Memristor Spiking Neural Network Supporting Multiple Learning Rules.” IEEE Trans Neural Netw Learn Syst. 2022 Sep 13.
Florini D, Gandolfi D, Mapelli J, Benatti L, Pavan P, Puglisi FM.
https://doi:10.1109/TNNLS.2022.3202501
“Long-Term Synaptic Plasticity Tunes the Gain of Information Channels through the Cerebellum Granular Layer”, Biomedicines, 2022
Mapelli, J., Boiani, G.M., D’Angelo, E., Bigiani, A., & Gandolfi, D.
https://doi.org/10.3390/biomedicines10123185
“Emergence of associative learning in a neuromorphic inference network”. Journal of Neural Engineering.
Gandolfi D, Puglisi FM, Boiani GM, Pagnoni G, Friston KJ, D’Angelo E, Mapelli J.
http://doi.org/10.1088/1741-2552/ac6ca7
“Editorial: Brain-inspired computing: Neuroscience drives the development of new electronics and artificial intelligence” FRONTIERS IN CELLULAR NEUROSCIENCE
Daniela Gandolfi;Francesco Maria Puglisi;Alexander Serb;Michele Giugliano;Jonathan Mapelli
https://dx.doi.org/10.3389/fncel.2022.1115395
2021
“Modeling Early Phases of COVID-19 Pandemic in Northern Italy and Its Implication for Outbreak Diffusion” Front. Public Health
Gandolfi D, Pagnoni G, Filippini T, Goffi A, Vinceti M, D’Angelo E, Mapelli J.
https://doi.org/10.3389/fpubh.2021.724362
“Modeling neurotransmission: computational tools to investigate neuronal disorders”. International Journal of Molecular Sciences
Gandolfi D, Boiani GM, Bigiani A, Mapelli J.
https://doi.org/10.3390/ijms22094565
“The effects of the general anesthetic sevoflurane on neurotransmission: an experimental and computational study.” Sci Rep.
Mapelli J, Gandolfi D, Giuliani E, Casali S, Congi L, Barbieri A, D’Angelo E, Bigiani A.
https://doi.org/10.1038/s41598-021-83714-y
“Real time generation of three dimensional patterns for multiphoton optogenetics stimulation.” Frontiers in Cellular Neuroscience
Pozzi P and Mapelli J.
https://doi.org/10.3389/fncel.2021.609505
“Experimental determination of shift-less aberration bases for sensorless adaptive optics in nonlinear microscopy” Optics Express
Talone B, Pozzi P, Cavagnini M, Polli D, Pozzi, G and Mapelli J
https://doi.org/10.1364/OE.435262
2020
“Cellular-resolution mapping uncovers spatial adaptive filtering at the rat cerebellum input stage”. Communications biology
Casali S, Tognolina M, Gandolfi D, Mapelli J, D’Angelo E
https://doi.org/10.1038/s42003-020-01360-y
“Scattering Compensation for deep brain microscopy: the long road to get proper images” Frontiers in Physics
Pozzi P, Gandolfi D, Porro CA, Bigiani A, Mapelli J
https://doi.org/10.3389/fphy.2020.00026
“Inhibitory plasticity: from molecules to computation and beyond” International journal of molecular sciences
Gandolfi D, Bigiani A, Porro CA, Mapelli J
https://doi.org/10.3390/ijms21051805