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FPGA-based architecture for real-time synaptic plasticity computation.

B. Belhadj, J. Tomas, O. Malot, G. N'Kaoua, Y. Bornat, and S. Renaud. ICECS, page 93-96. IEEE, (2008)

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An Embedded Deep Brain Stimulator for Biphasic Chronic Experiments in Freely Moving Rodents.F. Kölbl, G. N'Kaoua, F. Naudet, F. Berthier, E. Faggiani, S. Renaud, A. Benazzouz, and N. Lewis. IEEE Trans. Biomed. Circuits and Systems, 10 (1): 72-84 (2016)An IC-based controllable stimulator for respiratory muscle stimulation investigations.J. Castelli, F. Kölbl, R. Siu, G. N'Kaoua, Y. Bornat, A. Mangalore, B. Hillen, J. Abbas, S. Renaud, R. Jung and 1 other author(s). EMBC, page 1970-1973. IEEE, (2017)In vitro impedance spectroscopy: A MEA-based measurement bench for myoblasts cultures monitoring.A. Bailleul, J. Claudel, F. Gannes, G. N'Kaoua, F. Kölbl, F. Soulier, N. Lewis, S. Bernard, and S. Renaud. DCIS, page 1-6. IEEE, (2021)FPGA-based architecture for real-time synaptic plasticity computation.B. Belhadj, J. Tomas, O. Malot, G. N'Kaoua, Y. Bornat, and S. Renaud. ICECS, page 93-96. IEEE, (2008)Guaranteeing spike arrival time in multiboard & multichip spiking neural networks.B. Belhadj, J. Tomas, O. Malot, Y. Bornat, G. N'Kaoua, and S. Renaud. ISCAS, page 377-380. IEEE, (2010)Adjusting the neurons models in neuromimetic ICs using the voltage-clamp technique.S. Saïghi, L. Buhry, Y. Bornat, G. N'Kaoua, J. Tomas, and S. Renaud. ISCAS, page 1564-1567. IEEE, (2008)Characterization of a non linear fractional model of electrode-tissue impedance for neuronal stimulation.F. Kölbl, J. Sabatier, G. N'Kaoua, F. Naudet, E. Faggiani, A. Benazzouz, S. Renaud, and N. Lewis. BioCAS, page 338-341. IEEE, (2013)

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FPGA-based architecture for real-time synaptic plasticity computation.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML FPGA-based architecture for real-time synaptic plasticity computation.

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FPGA-based architecture for real-time synaptic plasticity computation.