Alejandro Luis Callara

Orcid: 0000-0003-2767-0699

According to our database1, Alejandro Luis Callara authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Behavioral, Peripheral, and Central Neural Correlates of Augmented Reality Guidance of Manual Tasks.
IEEE Trans. Hum. Mach. Syst., April, 2024

2023
Modulating Virtual Affective Elicitation by Human Body Odors: Advancing Research on Social Signal Processing in Virtual Reality.
Proceedings of the Augmented Cognition, 2023

Human body odour modulates neural processing of faces: effective connectivity analysis using EEG.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022
Towards a Contactless Stress Classification Using Thermal Imaging.
Sensors, 2022

Valence, Arousal, and Gender Effect on Olfactory Cortical Network Connectivity: A Study Using Dynamic Causal Modeling for EEG.
IEEE Access, 2022

Potential physiological stress biomarkers in human sweat.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

Human body odors of happiness and fear modulate the late positive potential component during neutral face processing: a preliminary ERP study on healthy subjects.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Parasympathetic-Sympathetic Causal Interactions Assessed by Time-Varying Multivariate Autoregressive Modeling of Electrodermal Activity and Heart-Rate-Variability.
IEEE Trans. Biomed. Eng., 2021

Linear and Nonlinear Quantitative EEG Analysis during Neutral Hypnosis following an Opened/Closed Eye Paradigm.
Symmetry, 2021

Odor valence modulates cortico-cortical interactions: a preliminary study using DCM for EEG.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
A Smart Region-Growing Algorithm for Single-Neuron Segmentation From Confocal and 2-Photon Datasets.
Frontiers Neuroinformatics, 2020

A preliminary quantitative EEG study on Augmented Reality Guidance of Manual Tasks.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Recognizing AR-guided manual tasks through autonomic nervous system correlates: a preliminary study.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

2019
Brain connectivity of the central control of breathing in humans using EEG and fMRI: integration of data and hypothesis driven approaches.
PhD thesis, 2019

On the Use of Linear-Modelling-based Algorithms for Physiological Noise Correction in fMRI Studies of the Central Breathing Control.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Exploring the supra linear relationship between PetCO2 and fMRI signal change with ICA.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2017
A Manual Segmentation Tool for Three-Dimensional Neuron Datasets.
Frontiers Neuroinformatics, 2017


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