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Emiliano Brunamonti
PeerJ Editor & Reviewer
645 Points

Contributions by role

Reviewer 45
Editor 600

Contributions by subject area

Neuroscience
Cognitive Disorders
Psychiatry and Psychology
Animal Behavior
Bioinformatics
Data Mining and Machine Learning
Anatomy and Physiology
Neurology
Otorhinolaryngology
Science and Medical Education
Human-Computer Interaction
Rehabilitation

Emiliano Brunamonti

PeerJ Editor & Reviewer

Summary

I am Associate Professor at the Department of Physiology and Pharmacology of SAPIENZA, University of Rome, since 2019. After graduating in Experimental Psychology at SAPIENZA, University of Rome, I obtained a PhD in Behavioral Neurophysiology at the same University. From 2005 to 2010 I worked at the Department of Physiology of Queen's University, Kingston (ON), Canada and the Institut Universitari de Audiovisual, University Pompeu Fabra, Barcelona, Espana, focusing my research on the study of the neuronal correlate of motor decision in cortical brain areas. Since 2011 I have been working at the Department of Physiology and Pharmacology of SAPIENZA, University of Rome, focusing my research on the study of the neuronal correlates of inferential reasoning in both humans and monkeys.

Brain-Computer Interface Cognitive Disorders Neuroscience

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences

Past or current institution affiliations

University of Roma "La Sapienza"

Work details

Associate Professor

University of Rome 'Sapienza'
Department of Physiology and Pharmacology

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 4

Academic Editor on

May 13, 2025
Fitts’ law-based identification of motor development stages for the upper limb: proof of concept in three age groups
Cristina Sanchez, Eloy Urendes, Alejandra Aceves, María Martínez-Olagüe, Rafael Raya
https://doi.org/10.7717/peerj.19433 PubMed 40386241
September 15, 2023
Simulation of hearing loss can induce pitch shifts for complex tones
Issei Ichimiya, Hiroko Ichimiya
https://doi.org/10.7717/peerj.16053 PubMed 37727688
March 29, 2022
Classifying the difficulty levels of working memory tasks by using pupillary response
Hugo Mitre-Hernandez, Jorge Sanchez-Rodriguez, Sergio Nava-Muñoz, Carlos Lara-Alvarez
https://doi.org/10.7717/peerj.12864 PubMed 35368339
September 9, 2021
An artificial neural network for automated behavioral state classification in rats
Jacob G. Ellen, Michael B. Dash
https://doi.org/10.7717/peerj.12127 PubMed 34589305