Mechanisms of neural communication predicted from computational modeling of healthy and pathological brain circuits
Abstract/Contents
- Abstract
- The topics of memory processing and epilepsy are investigated through computational modeling with the overarching goal of predicting novel mechanisms that can be experimentally verified via a number of genetic, electrophysiological, and imaging methods. Specifically, we leveraged biophysically detailed and more abstract machine-learning inspired modeling approaches through the development of 1) a microcircuit model of hippocampal CA3 and 2) a novel computational pipeline that can infer and mine the higher-order organization of large-scale epileptic circuits built from single cells. Simulations from these computational models predicted a critical role for inhibitory plasticity to perform 'world inference learning' by filtering out irrelevant stimuli during circuit processes associated with spatial navigation, and predicted a novel functional cell type - the superhub cell - that preferentially emerges in the preseizure brain and can propagate excitatory activity downstream with high fidelity. Critically, as patients with epilepsy often exhibit cognitive comorbidities including memory dysfunction, deeper understanding of these topics has potential to drive more holistic strategies for intervention that include both seizure reduction and normalization of computational processes associated with memory.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Hadjiabadi, Darian |
|---|---|
| Degree supervisor | Soltesz, Ivan |
| Thesis advisor | Soltesz, Ivan |
| Thesis advisor | Druckmann, Shaul |
| Thesis advisor | Nuyujukian, Paul Herag |
| Degree committee member | Druckmann, Shaul |
| Degree committee member | Nuyujukian, Paul Herag |
| Associated with | Stanford University, Department of Bioengineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Darian Hassan Hadjiabadi. |
|---|---|
| Note | Submitted to the Department of Bioengineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/md669dr0460 |
Access conditions
- Copyright
- © 2022 by Darian Hadjiabadi
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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