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Filippo GRASSIA
Filippo GRASSIA
Associate Professor - University of Picardy Jules Verne
Adresse e-mail validée de u-picardie.fr
Titre
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Automated parameter estimation of the Hodgkin-Huxley model using the differential evolution algorithm: application to neuromimetic analog integrated circuits
L Buhry, F Grassia, A Giremus, E Grivel, S Renaud, S Saïghi
Neural computation 23 (10), 2599-2625, 2011
522011
Tunable neuromimetic integrated system for emulating cortical neuron models
F Grassia, L Buhry, T Lévi, J Tomas, A Destexhe, S Saïghi
Frontiers in NEUROSCIENCE 5, 134, 2011
462011
Biomimetic neural network for modifying biological dynamics during hybrid experiments
M Ambroise, S Buccelli, F Grassia, A Pirog, Y Bornat, M Chiappalone, ...
Artificial Life and Robotics 22 (3), 398-403, 2017
262017
bifurcation analisys in a silicon neuron
Grassia
25*
Digital hardware implementation of a stochastic two-dimensional neuron model
F Grassia, T Kohno, T Levi
Journal of Physiology-Paris 110 (4), 409-416, 2016
242016
Silicon neuron: digital hardware implementation of the quartic model
F Grassia, T Levi, T Kohno, S Saïghi
Artificial Life and Robotics 19 (3), 215-219, 2014
242014
A neuromorphic prosthesis to restore communication in neuronal networks
S Buccelli, Y Bornat, I Colombi, M Ambroise, L Martines, V Pasquale, ...
IScience 19, 402-414, 2019
182019
Optimized real-time biomimetic neural network on FPGA for bio-hybridization
F Khoyratee, F Grassia, S Saïghi, T Levi
Frontiers in Neuroscience 13, 377, 2019
162019
Spike pattern recognition using artificial neuron and spike-timing-dependent plasticity implemented on a multi-core embedded platform
F Grassia, T Levi, E Doukkali, T Kohno
Artificial Life and Robotics 23 (2), 200-204, 2018
142018
Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation
Y Mosbacher, F Khoyratee, M Goldin, S Kanner, Y Malakai, M Silva, ...
Scientific Reports - Nature 10 (1), 1-16, 2020
122020
Controlled large-scale fabrication of sea sponge-like ZnO nanoarchitectures on textured silicon
ME Fragalà, A Di Mauro, G Litrico, F Grassia, G Malandrino, G Foti
CrystEngComm 11 (12), 2770-2775, 2009
122009
A neuroprosthetic system to restore neuronal communication in modular networks
S Buccelli, Y Bornat, I Colombi, M Ambroise, L Martines, V Pasquale, ...
bioRxiv, 514836, 2019
82019
A neuromimetic spiking neural network for simulating cortical circuits
F Grassia, T Lévi, J Tomas, S Renaud, S Saïghi
2011 45th annual conference on information sciences and systems, 1-6, 2011
62011
Moving Medical Image Analysis to GPU Embedded Systems: Application to Brain Tumor Segmentation
B Niepceron, A Nait-Sidi-Moh, F Grassia
Applied Artificial Intelligence 34 (12), 866-879, 2020
42020
A parameter optimization method for Digital Spiking Silicon Neuron model.
T Nanami, F Grassia, T Kohno
J. Robotics Netw. Artif. Life 4 (1), 97-101, 2017
32017
In vitro experimental and theoretical studies to restore lost neuronal functions: the Brain Bow experimental framework
P Bonifazi, P Massobrio, T Levi, F Difato, GL Breschi, V Pasquale, ...
6th InternationalIEEE EMBS Conference on Neural Engineering, No-0519, 2013
22013
Spatial distribution of pulsed plasma emitted from a carbon target
F Grassia, G Izzo, N Piluso, A Di Stefano, G Foti
Radiation Effects & Defects in Solids: Incorporating Plasma Science & Plasma …, 2010
22010
Brain Tumor Detection Using Selective Search and Pulse-Coupled Neural Network Feature Extraction
B Niepceron, F Grassia, ANS Moh
Computing and Informatics 41 (1), 253–270-253–270, 2022
12022
A metaheuristic approach for parameter fitting in digital spiking silicon neuron model
T Nanami, F Grassia, T Kohno
Journal of Robotics, Networking and Artificial Life 5 (1), 32-36, 2018
12018
Digital Spiking Neural Network for closed-loop systems
T Levi, M Ambroise, F Grassia, T Kohno, S Saïghi
Seisan Kenkyu 67 (5), 573-577, 2015
12015
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