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Physical Sciences and Mathematics Commons™
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Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
A Model Of Shell Structure And Pattern In Mollusks, Rahnuma Islam, Bard Ermentrout, Sabrina Streipert
A Model Of Shell Structure And Pattern In Mollusks, Rahnuma Islam, Bard Ermentrout, Sabrina Streipert
Biology and Medicine Through Mathematics Conference
No abstract provided.
Modeling Mechanisms Of Microtubule Dynamics And Polarity In Neurons, Anna Nelson, Veronica Ciocanel, Scott Mckinley, Hannah Scanlon
Modeling Mechanisms Of Microtubule Dynamics And Polarity In Neurons, Anna Nelson, Veronica Ciocanel, Scott Mckinley, Hannah Scanlon
Biology and Medicine Through Mathematics Conference
No abstract provided.
Modeling Human Temporal Eeg Responses To Vr Visual Stimuli, Richard R. Foster, Connor Delaney, Dean J. Krusienski, Cheng Ly
Modeling Human Temporal Eeg Responses To Vr Visual Stimuli, Richard R. Foster, Connor Delaney, Dean J. Krusienski, Cheng Ly
Biology and Medicine Through Mathematics Conference
No abstract provided.
The Neural Dynamics Of Autism Spectrum Disorder And Typically Developing Individuals: Insights From Eeg Modeling And Mathematical Analysis, Sungwoo Ahn, Evie A. Malaia, Leonid L. Rubchinsky
The Neural Dynamics Of Autism Spectrum Disorder And Typically Developing Individuals: Insights From Eeg Modeling And Mathematical Analysis, Sungwoo Ahn, Evie A. Malaia, Leonid L. Rubchinsky
Biology and Medicine Through Mathematics Conference
No abstract provided.
Assessing The Pre- And Post-Synaptic Effects Of Opioids On Inspiratory Rhythmogenesis, Diego F. Morandi Zerpa, Jingzhi Zhao
Assessing The Pre- And Post-Synaptic Effects Of Opioids On Inspiratory Rhythmogenesis, Diego F. Morandi Zerpa, Jingzhi Zhao
Biology and Medicine Through Mathematics Conference
No abstract provided.
A Causal Inference Approach For Spike Train Interactions, Zach Saccomano
A Causal Inference Approach For Spike Train Interactions, Zach Saccomano
Dissertations, Theses, and Capstone Projects
Since the 1960s, neuroscientists have worked on the problem of estimating synaptic properties, such as connectivity and strength, from simultaneously recorded spike trains. Recent years have seen renewed interest in the problem coinciding with rapid advances in experimental technologies, including an approximate exponential increase in the number of neurons that can be recorded in parallel and perturbation techniques such as optogenetics that can be used to calibrate and validate causal hypotheses about functional connectivity. This thesis presents a mathematical examination of synaptic inference from two perspectives: (1) using in vivo data and biophysical models, we ask in what cases the …
Multiscale Modelling Of Brain Networks And The Analysis Of Dynamic Processes In Neurodegenerative Disorders, Hina Shaheen
Multiscale Modelling Of Brain Networks And The Analysis Of Dynamic Processes In Neurodegenerative Disorders, Hina Shaheen
Theses and Dissertations (Comprehensive)
The complex nature of the human brain, with its intricate organic structure and multiscale spatio-temporal characteristics ranging from synapses to the entire brain, presents a major obstacle in brain modelling. Capturing this complexity poses a significant challenge for researchers. The complex interplay of coupled multiphysics and biochemical activities within this intricate system shapes the brain's capacity, functioning within a structure-function relationship that necessitates a specific mathematical framework. Advanced mathematical modelling approaches that incorporate the coupling of brain networks and the analysis of dynamic processes are essential for advancing therapeutic strategies aimed at treating neurodegenerative diseases (NDDs), which afflict millions of …