Gonzalo Duchen

Dr. Gonzalo Duchen

orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 May 2016 in Neurocomputing
Verified
Journal Article
Closed access
CDCarlos Diaz
Carlos Diaz
GSGiovanny Sanchez
Giovanny Sanchez
GDGonzalo Duchen
Gonzalo Duchen
MNMariko Nakano-Miyatake
Mariko Nakano-Miyatake
HPHector Perez
Hector Perez

1 May 2017 in Neurocomputing
Verified
Journal Article
Closed access
CDCarlos Diaz
Carlos Diaz
TFThania Frias
Thania Frias
GSGiovanny Sanchez
Giovanny Sanchez
HPHECTOR PEREZ-MEANA
HECTOR PEREZ-MEANA
KTKarina Toscano
Karina Toscano
GDGonzalo Duchen
Gonzalo Duchen

1 July 1995 in IEEE Transactions on Communications
Verified
Journal Article
Closed access
FAF. Amano
F. Amano
HMH.P. Meana
H.P. Meana
ALA. de Luca
A. de Luca
GDGonzalo Duchen
Gonzalo Duchen

1 May 2017 in Neurocomputing
Verified
Journal Article
Closed access
TFThania Frias
Thania Frias
MAMarco Abarca
Marco Abarca
CDCarlos Diaz
Carlos Diaz
GDGonzalo Duchen
Gonzalo Duchen
HPHector Perez
Hector Perez
GSGiovanny Sanchez
Giovanny Sanchez

1 March 2017 in Electronics Letters
Verified
Journal Article
Open access
PDF file
GDGonzalo Duchen
Gonzalo Duchen
CDC. Diaz
C. Diaz
GSGiovanny Sánchez
Giovanny Sánchez
HPH. Perez
H. Perez
During the last decade, an emerging branch of computer science (biologically inspired engineering) has been made intensive studies to create an efficient CPU based on spiking neural P systems. Most of these studies have been focused on developing theoretical neural arithmetic circuits that could be integrated into an arithmetic logic unit. However, the memory system has a significant relevance since modern computers demand large memory bandwidth affecting significantly their performance and power consumption. Recently, the use of memory processing units (MPUs) allows to increase their performance by processing and storing the data in the same unit. This work maybe considered as a first step toward the design of a memory system highly inspired by the neural processing of the soma, dendritic behaviour and astrocyte‐like control. In addition, the basic neural single neural (SN) P memory cells can compute intrinsically two basic arithmetic operations (addition and subtraction) that potentially allow the development of a neural MPU system without modifying the basic structure of the neural SN P memory cell. High definition video processing is one of the potential applications to apply the proposed neural MPU to increase the processing speed compared with existing approaches.

1 June 2013 in Physica E: Low-dimensional Systems and Nanostructures
Verified
Journal Article
Closed access
ATA. Trejo
A. Trejo
RUBEN VAZQUEZ-MEDINARUBEN VAZQUEZ-MEDINA
RUBEN VAZQUEZ-MEDINA
GDGonzalo Duchen
Gonzalo Duchen
MCMiguel Cruz-Irisson
Miguel Cruz-Irisson