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Matthias Loidolt's picture

Wellcome Optical Biology PhD student, Bianco Lab

matthias.loidolt.21@ucl.ac.uk

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Research synopsis

Decision making is key to survival. Usually, our decisions are based on what see, hear or smell, but often they also depend on internal states like hunger or fear. Currently, we don’t understand how our brains integrate these internal states with what we know about the outside world – mostly because human brains are hard to study. Instead, I want to study decision making in zebrafish larvae. They are transparent, so we can use microscopes to look at their brains. They are also easy to breed, so we can use biotechnology to make their brain cells light up when they are active – and use light to activate them. In the lab, we place the larvae in a virtual environment under a microscope, allowing us to observe and manipulate their brains while they are hunting virtual prey, which they will do innately without needing to be taught.
In my PhD, I want to find out how their brains integrate internal states into the decision whether to hunt or not. Because zebrafish are related to us, my research will help us understand how our own brains represent internal states, and why they are sometimes disturbed, such as in anxiety or depression.

Biography

2020-2021 | MPI-DS Goettingen, Research Assistant in Neural Systems Theory
2019 | MPI-CBG Dresden, Research Assistant in Biophotonics and Self-Organization
2018 | DPAG Oxford, Research Intern in All-Optical Interrogation of Neural Circuits
2015-2020 | TU Dresden, BSc in Physics (2015-2020) 
2018 | NTNU Trondheim, Erasmus Semester in Biophysics
 

Awards

2021-2025 | International Scholar Award for Doctoral Training Centres, University College London
2019-2021 | SMART START Studentship in Computational Neuroscience (Bernstein Network and Volkswagen Foundation
2018 | Erasmus+ Scholarship (European Union

Funders

Wellcome
UCL

Research themes

Decision making
Neural circuits
Innate behaviors
Internal states
Neuromodulation
Predator-prey interactions

Technology

Volumetric and ultrafast two-photon imaging
Holographic optogenetics
Virtual reality
Real-time behavioural tracking
Lightsheet imaging
Spatial transcriptomics
Microfluidics
Circuit tracing
Computer vision