Allowing researchers to better conduct modeling of mental and neurological diseases by connecting data related to the fly brain
Mental and neurological disorders pose major medical and socioeconomic challenges for society. Understanding human brain function and disease is arguably the biggest challenge in neuroscience. To help address this challenge, smaller but sufficiently complex brains can be used. This application will store and process connected data related to the neural circuits of the fruit fly brain. Using computational disease models, researchers can make targeted modifications that are difficult to perform in vivo with current genetic techniques. These capabilities will significantly accelerate the development of powerful new ways to predict the effects of pharmaceuticals upon neural circuit functions.
Using computational disease models, researchers can make targeted modifications that are difficult to perform in vivo with current genetic techniques. Models of neural circuits affected by disease will enable parallel recording of the responses of multiple components of a model circuit that are currently difficult – if not impossible – to perform in vivo. These capabilities will significantly accelerate the development of powerful new ways to predict the effects of pharmaceuticals upon neural circuit functions.
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The Team
- Aurel Lazar (Columbia University, United States)
- Ann-Shyn Chiang (National Tsing Hua University, Taiwan)
- Daniel Coca (University of Sheffield, United Kingdom)
- Lev Givon (Columbia University, United States)
- Dorian Florescu (University of Sheffield, United States)
- Chung-Chuan Lo (National Tsing Hua University, Taiwan)
- Luna Carlos (University of Sheffield, United Kingdom)
- Paul Richmond (University of Sheffield, United Kingdom)
- Adam Tomkins (University of Sheffield, United Kingdom)
- Nikul Ukani (Columbia University, United States)
- Chung-Heng Yeh (Columbia University, United States)
- Yiyin Zhou (Columbia University, United States)
Contact Name
Aurel Lazar
Contact Email
aurel[at]ee.columbia.edu
