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  Causality in neuroscience

Chen, H., Jagadish, A., & Wenzel, O. (2019). Causality in neuroscience. In 20th Conference of Junior Neuroscientists (NeNa 2019) (pp. 50).

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 Creators:
Chen, H, Author              
Jagadish, A, Author              
Wenzel, OJ1, Author              
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1External Organizations, ou_persistent22              

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 Abstract: We believe at the core scientists want a causal answer to their question. It is indeed true that for some systems - due to their enormous complexity - it is extremely hard to get to a causal answer. But our literature survey showed that sometimes scientists end up settling for correlation-based results. In the workshop, we will go over “Ten Simple Rules for doing Causal Research”. Here, we will equip you with simple mathematical tools (shown programmatically with python notebooks distributed to students) that you can use in your research especially, while designing experiments, to ensure you can make a causal claim. For example, what are the observations you will need, what are things you must control for, how can your randomize to remove the effects of certain confounders, and so on. In addition, we also go over some empirical tools developed and used by economists, who also work with a complex dynamically changing the system, while making policies and how we can borrow some of them to do causal neuroscience research.

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 Dates: 2019-11
 Publication Status: Published in print
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Title: 20th Conference of Junior Neuroscientists (NeNa 2019)
Place of Event: Schramberg, Germany
Start-/End Date: 2019-11-04 - 2019-11-06

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Title: 20th Conference of Junior Neuroscientists (NeNa 2019)
Source Genre: Proceedings
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Pages: - Volume / Issue: - Sequence Number: W1 Start / End Page: 50 Identifier: -