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Researchers

Daniel Zarabozo Enríquez de Rivera, Ph.D.

e-mail: dzaraboz@cencar.udg.mx
Full Professor-Researcher “C”
Psychophysiology of Perceptual Processes Laboratory
Publications
Neuroscience Institute, CUCBA

Dr. Zarabozo has a B.A. in Psychology (UNAM, 1980) with a Specialization in Applied Statistics (IIMAS, UNAM, 1984).

He earned his Master’s and Doctorate degrees in the Behavioral Sciences (Neurosciences) at the Universidad de Guadalajara (University of Guadalajara) (2000, 2006), and began his academic career in the Unidad de Investigaciones Cerebrales del Instituto Nacional de Neurología y Neurocirugía (Unit for Cerebral Research at Mexico’s National Neurology and Neurosurgery Institute) (1976-1980) as an Assistant Researcher in the laboratory led by Dr. Carlos M. Contreras.

At the Faculty of Psychology (UNAM) he worked as an Associate Technical Academic (1978-1980) in the Coordination of Laboratories, where he held workshops on laboratory practices in Neuroanatomy, Neurophysiology and Psychophysiology, before joining the Computing, Informatics and Instrumentation Center there as a full Technical Academic (UCII, 1980-1994).

In 1991, and from 1993 to 1994, he served as Director. Also, he was a Professor of Mathematics, Descriptive Statistics and Inferential Statistics from 1984-1994.

In 1994, he was invited to form part of the recently created Instituto de Neurociencias (Neuroscience Institute), directed by Dr. Victor Manuel Alcaraz Romero. Dr. Zarabozo is currently a Full-time Researcher, and has served as Academic Secretary (1994-2003) and Coordinator of the Graduate Program (2001-2007).

He has been a member of Mexico’s National System of Researchers (SIN) since 2006 (currently Level II, 2013-2016), and qualified for the Secretaría de Educación Pública (Department of Public Education’s) (SEP) PROMEP program (2004-2015).

His main research interests are EEG activity related to processes of perception and sequential learning, the application of computers in experimental control in real time, experimental design and statistical analysis.