Title :
A model design of a 2560-channel neural spike detection platform
Author :
Elaraby, N. ; Obeid, I.
Author_Institution :
Electr. & Comput. Eng. Dept., Temple Univ., Philadelphia, PA, USA
Abstract :
A model design of a 2560-channel neural signal processing platform is presented. The design carries out spike detection over a large reconfigurable number of channels on Field Programmable Gate Arrays (FPGAs), and integrates the application of high-speed serial transceivers to allow for the required massive input data transmissions.
Keywords :
data communication; field programmable gate arrays; logic design; medical signal detection; neurophysiology; reconfigurable architectures; transceivers; 2560-channel neural signal processing platform; 2560-channel neural spike detection platform; FPGA; field programmable gate arrays; high-speed serial transceiver; input data transmission; model design; reconfigurable channels; Field programmable gate arrays; Generators; Hardware; Neurons; Signal processing; Time division multiplexing; Transceivers; FPGA; high-speed serial transceivers; neural spike detection; reconfigurable;
Conference_Titel :
Reconfigurable Computing and FPGAs (ReConFig), 2012 International Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4673-2919-4
DOI :
10.1109/ReConFig.2012.6416762
