Presentation
Integer-based digital processor for the estimation of phase synchronization between neural signals
Author/s | Romaine, James Brian
Delgado Restituto, Manuel Leñero Bardallo, Juan Antonio Rodríguez Vázquez, Ángel Benito |
Department | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Publication Date | 2016 |
Deposit Date | 2019-10-23 |
Published in |
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ISBN/ISSN | 978-1-5090-0493-5 |
Abstract | This paper reports a low area, low power, integer-based neural digital processor for the calculation of phase synchronization between two neural signals. The processor calculates the phase-frequency content of a signal by ... This paper reports a low area, low power, integer-based neural digital processor for the calculation of phase synchronization between two neural signals. The processor calculates the phase-frequency content of a signal by identifying the specific time periods associated with two consecutive minima. The simplicity of this phase-frequency content identifier allows for the digital processor to utilize only basic digital blocks, such as registers, counters, adders and subtractors, without incorporating any complex multiplication and or division algorithms. The low area and power consumptions make the processor an extremely scalable device which would work well in closed loop neural prosthesis for the treatment of neural diseases. |
Project ID. | TEC2012-33634
N000141110312 |
Citation | Romaine, J.B., Delgado Restituto, M., Leñero Bardallo, J.A. y Rodríguez Vázquez, Á.B. (2016). Integer-based digital processor for the estimation of phase synchronization between neural signals. En 12th Conference on Ph.D. Research in Microelectronics and Electronics (PRIME) Lisboa, Portugal: Institute of Electrical and Electronics Engineers. |
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