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Inferring Morphology of a Neuron from In Vivo LFP Data

https://doi.org/10.1109/NER49283.2021.9441161

Chen, Ziao ; Dopp, Dan ; Nair, Satish S ; Headley, Drew B ( May 2021 , 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER))

We propose a computational pipeline that uses biophysical modeling and sequential neural posterior estimation algorithm to infer the position and morphology of single neurons using multi-electrode in vivo extracellular voltage recordings. In this inverse modeling scheme, we designed a generic biophysical single neuron model with stylized morphology that had adjustable parameters for the dimensions of the soma, basal and apical dendrites, and their location and orientations relative to the multi-electrode probe. Preliminary results indicate that the proposed methodology can infer up to eight neuronal parameters well. We highlight the issues involved in the development of the novel pipeline and areas for further improvement.
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Multi-platform simulations facilitate interdisciplinary instruction in undergraduate neuroscience

https://doi.org/10.1109/NER49283.2021.9441407

Donley, David W. ; Chen, Ziao ; Bergin, David ; Schulz, David J. ; Nair, Satish S ( May 2021 , 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER))

Herein, we describe the implementation of virtual labs that simulate central nervous system functions. The virtual labs use Jupyter Notebooks as a method of distribution. The underlying physiology is implemented using NEURON [8]. Python is used to implement interactive portions of the code without the need to know how to write code. Together, these tools provide a method for engaging students in inquiry-based exploration of neuroscience processes. Additionally, we report that computational tools have potential to engage students and promote inclusion in the research community similarly to students who have a traditional laboratory experience.
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