Filippo GRASSIA Directeur de l’INSSET – Institut Supérieur des Sciences et Techniques.En tant que Directeur de l’INSSET – Institut Supérieur des Sciences et Techniques de l’Université de Picardie Jules Verne, j’assure la responsabilité du pilotage stratégique, académique et administratif de l’établissement.

Publications

Communication dans un congrès (14)

Enhanced Brain Tumor Classification with Convolutional Spiking Neural Networks Brad Niepceron,Kenza Garreau,Ahmed Nait-Sidi-Moh,Filippo Grassia 2024 Artificial Intelligence Revolutions (AIR), Oct 2024, Roanne, France. pp.82-88, ⟨10.1109/AIR63653.2024.00026⟩ Communication dans un congrès hal-05057706v1
FPGA Design of a chaotic quartic-neuron model Munehisa Sekikawa,Filippo Grassia International Symposium on Nonlinear Theory and Its Applications - Nolta 2019, Dec 2019, Kuala Lumpur, Malaysia Communication dans un congrès hal-04736380v1
Réseaux de neurones artificiels biomimétiques pour de la bio-hybridation Farad Khoyratee,Filippo Grassia,Sylvain Saïghi,Timothée Levi Journées Francophones de la Recherche JFR 2019, Oct 2019, Tokyo, Japon Communication dans un congrès hal-02893061v1
A Metaheuristic Approach for Parameter Fitting in Digital Spiking Silicon Neuron Model Takuya Nanami,Filippo Grassia,Takashi Kohno ICAROB 2018: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS, Feb 2018, Beppu, Japan. pp.465-468 Communication dans un congrès hal-03632177v1
Spike pattern recognition using artificial neuron and Spike-Timing-Dependent Plasticity implemented on a multi-core embedded platform Filippo Grassia,Timothée Levi,E Doukkali,T Kohno 22th International Symposium on Artificial Life and Robotics, Jan 2017, Beppu, Japan Communication dans un congrès hal-01567495v1
Spike pattern recognition using biomimetic Spiking Neural Network Takuya Nanami,Filippo Grassia,Manuel Blanco,Kazuyuki Aihara,Takashi Kohnoet al. SWARM 2017, Oct 2017, Kyoto, Japan Communication dans un congrès hal-01709428v1
Biomimetic neural network for modifying biological dynamics during hybrid experiments Matthieu Ambroise,Stefano Buccelli,Filippo Grassia,Antoine Pirog,Yannick Bornatet al. 22th International Symposium on Artificial Life and Robotics, Jan 2017, Beppu, Japan Communication dans un congrès hal-01567497v1
Silicon neuron: digital hardware implementation of the quartic model Filippo Grassia,Timothée Levi,Takashi Kohno,Sylvain Saïghi International Symposium on Artificial Life and Robotics, Jan 2014, Beppu, Japan. pp.359-362 Communication dans un congrès hal-00956628v1
Biomimetic neural networks for hybrid experiments Timothée Levi,Matthieu Ambroise,Filippo Grassia,Olivia Malot,Sylvain Saighiet al. International Symposium on Neuromorphic and Non-linear Engineering, ISNNE, Feb 2014, Tokyo, Japan Communication dans un congrès hal-01227638v1
Biomimetic CPGs for robotic applications Timothée Levi,Matthieu Ambroise,Filippo Grassia,Sylvain Saïghi,Takashi Kohnoet al. International Symposium on Artificial Life and Robotics, Jan 2014, Beppu, Japan. pp.355-358 Communication dans un congrès hal-00956627v1
In vitro experimental and theoretical studies to restore lost neuronal functions: the Brain Bow experimental framework Paolo Bonifazi,Paolo Massobrio,Timothée Levi,Francesco Difato,Gian L Breschiet al. 6th International IEEE EMBS Conference on Neural Engineering, Nov 2013, United States. pp.No. 0519 Communication dans un congrès hal-00966013v1
Conception d'un réseau de neurones du cœur de sangsue Timothée Levi,Matthieu Ambroise,Filippo Grassia,Takashi Kohno Journées Francophones de la Recherche JFR 2013, Nov 2013, Japon Communication dans un congrès hal-00966010v1
Bifurcation analysis in a silicon neuron Filippo Grassia,Timothée Levi,Sylvain Saïghi,Takashi Kohno International Symposium on Artificial Life and Robotics, Jan 2013, Beppu, Japan. pp.53-58 Communication dans un congrès hal-00775856v1
A Neuromimetic Spiking Neural Network for Simulating Cortical Circuits Filippo Grassia,Timothée Levi,Jean Tomas,Sylvie Renaud,Sylvain Saïghi 45th Annual Conference on Information Sciences ans Systems, Mar 2011, Baltimore, United States. pp.1 Communication dans un congrès hal-00597648v1

Article dans une revue (15)

Brain tumor detection using selective search and pulse-coupled neural network feature extraction Brad Niepceron,Filippo Grassia,Ahmed Nait Sidi Moh Computing and Informatics, 2022, 41 (2, SI), pp.253-270. ⟨10.31577/cai20221253⟩ Article dans une revue hal-03724185v1
Moving Medical Image Analysis to GPU Embedded Systems: Application to Brain Tumor Segmentation Brad Niepceron,Ahmed Nait-Sidi-Moh,Filippo Grassia Applied Artificial Intelligence, 2020, 34 (12), pp.866-879. ⟨10.1080/08839514.2020.1787678⟩ Article dans une revue hal-03632175v1
Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation Yossi Mosbacher,Farad Khoyratee,Miri Goldin,Sivan Kanner,Yenehaetra Malakaiet al. Scientific Reports, 2020, 10 (1), ⟨10.1038/s41598-020-63934-4⟩ Article dans une revue hal-02568187v1
Optimized Real-Time Biomimetic Neural Network on FPGA for Bio-hybridization Farad Khoyratee,Filippo Grassia,Sylvain Saïghi,Timothée Levi Frontiers in Neuroscience, 2019, 13, ⟨10.3389/fnins.2019.00377⟩ Article dans une revue hal-02482394v1
A Neuromorphic Prosthesis to Restore Communication in Neuronal Networks Stefano Buccelli,Yannick Bornat,Ilaria Colombi,Matthieu Ambroise,Laura Martineset al. iScience, 2019, 19, pp.402-414. ⟨10.1016/j.isci.2019.07.046⟩ Article dans une revue hal-02482383v1
A Metaheuristic Approach for Parameter Fitting in Digital Spiking Silicon Neuron Model Takuya Nanami,Filippo Grassia,Takashi Kohno Journal of Robotics, Networking and Artificial Life, 2018, 5 (1), pp.32-36 Article dans une revue hal-03632176v1
Spike pattern recognition using artificial neuron and spike-timing-dependent plasticity implemented on a multi-core embedded platform F. Grassia,Timothée Levi,E. Doukkali,T. Kohno Artificial Life and Robotics, 2018, 23 (2), pp.200-204. ⟨10.1007/s10015-017-0421-y⟩ Article dans une revue hal-02482401v1
Digital hardware implementation of a stochastic two-dimensional neuron model Filippo Grassia,T Kohno,Timothée Levi Journal of Physiology - Paris, 2017, ⟨10.1016/j.jphysparis.2017.02.002⟩ Article dans une revue istex hal-01562687v1
Biomimetic neural network for modifying biological dynamics during hybrid experiments Matthieu B Ambroise,Stefano Buccelli,Filippo Grassia,Antoine Pirog,Yannick Bornatet al. Artificial Life and Robotics, 2017, ⟨10.1007/s10015-017-0366-1⟩ Article dans une revue hal-01567477v1
A parameter optimization method for Digital Spiking Silicon Neuron model Takuya Nanami,Filippo Grassia,Takashi Kohno Journal of Robotics, Networking and Artificial Life, 2017, 4 (1), pp.97-101. ⟨10.2991/jrnal.2017.4.1.21⟩ Article dans une revue hal-03632178v1
Digital Spiking Neural Network for closed-loop systems Timothée Levi,Matthieu Ambroise,Filippo Grassia,Takashi Kohno,Sylvain Saïghi Seisan Kenkyu, 2015, 67 (5), pp.573-579. ⟨10.11188/seisankenkyu.67.573⟩ Article dans une revue hal-01227591v1
Silicon neuron: digital hardware implementation of the quartic model Filippo Grassia,Timothée Levi,Sylvain Saighi,Takashi Kohno Journal of Artificial Life and Robotics, 2014, 19 (3), pp.215-219 Article dans une revue hal-01227599v1
Bifurcation analysis in a silicon neuron Filippo Grassia,Timothée Levi,Sylvain Saïghi,Takashi Kohno Journal of Artificial Life and Robotics, 2012, 17 (1), pp.53-58 Article dans une revue hal-00766340v1
Automated Parameter Estimation of the Hodgkin-Huxley Model Using the Differential Evolution Algorithm: Application to Neuromimetic Analog Integrated Circuits Laure Buhry,Filippo Grassia,Audrey Giremus,Eric Grivel,Sylvie Renaudet al. Neural Computation, 2011, 23 (10), pp.2599-2625. ⟨10.1162/NECO_a_00170⟩ Article dans une revue hal-00625448v1
Tunable neuromimetic integrated system for emulating cortical neuron models. Filippo Grassia,Laure Buhry,Timothée Levi,Jean Tomas,Alain Destexheet al. Frontiers in Neuroscience, 2011, 5, pp.134. ⟨10.3389/fnins.2011.00134⟩ Article dans une revue hal-00684091v1

Chapitre d'ouvrage (1)

Implémentation numérique de neurones biomimétiques stochastiques Filippo Grassia,Takashi Kohno,Timothée Levi ISTE OpenScience, Ingénierie cognitique / Cognitive Engineering, 2017 Chapitre d'ouvrage hal-01709424v1

Thèse (1)

Silicon neural networks : implementation of cortical cells to improve the artificial-biological hybrid technique Filippo Giovanni Grassia Other. Université Sciences et Technologies - Bordeaux I, 2013. English. ⟨NNT : 2013BOR14748⟩ Thèse tel-00789406v1