Andre Bastos
Assistant Professor Of Neuroscience And Psychology at Vanderbilt University
Nashville-Davidson, Tennessee, United States
Summary
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Senior🎓
Top SchoolAndre Bastos is an assistant professor of neuroscience and psychology at Vanderbilt with 16 years of experience probing how large-scale cortical circuits integrate top-down and bottom-up processing. He combines rigorous experimental work—from multilaminar recordings during cognitive tasks and anesthesia at MIT to PhD studies in visual processing and inter-areal connectivity—with computational expertise, contributing backend code and new connectivity methods to the widely used FieldTrip MATLAB toolbox. His research spans international collaborations and advanced time-series and connectivity analyses, bridging theory, tools, and reproducible workflows. Andre emphasizes lowering geographic barriers to collaboration and building tools that enable cross-institutional science. Colleagues know him for translating complex electrophysiological findings into accessible methods and for strengthening the analysis toolchain researchers rely on.
16 years of coding experience
14 years of employment as a software developer
Postdoctoral training, Neuroscience, Postdoctoral training, Neuroscience at Massachusetts Institute of TechnologyBA (Highest Honors), Cognitive Science, BA (Highest Honors), Cognitive Science at UC BerkeleyPhD, Neuroscience, PhD, Neuroscience at UC Davis
English, Portuguese, Spanish, German
Github Skills (7)
statistics10
matlab10
neuroimaging10
time-frequency10
analyse9
beam8
beamer8
Programming languages (1)
Github contributions (2)
fieldtrip/fieldtrip
Oct 2009 - Aug 2010
The MATLAB toolbox for MEG, EEG and iEEG analysis
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 commits in 9 months
Contributions summary:Andre primarily contributed to the `fieldtrip/fieldtrip` MATLAB toolbox by fixing bugs and implementing new functionalities within the connectivity analysis module. Their work involved modifications to core functions like `connectivityanalysis.m`, `coupling_psi`, and the introduction of new methods such as instantaneous causality and total interdependence. These changes suggest a focus on improving and extending the toolbox's capabilities for analyzing neural connectivity data, including handling partial coherence and cross-spectral density calculations.
brainneurosciencetime-frequencyfieldtripieeg
ABastos/Propofol-unconscious-NHP
Jul 2020 - Jul 2020
Contributions:4 commits, 3 pushes, 4 branches in 1 day
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