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Nova Southeastern University

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Full-Text Articles in Neuroscience and Neurobiology

Seizure Prediction In Epilepsy Patients, Gary Dean Cravens Feb 2022

Seizure Prediction In Epilepsy Patients, Gary Dean Cravens

NSU REACH and IPE Day

Purpose/Objective: Characterize rigorously the preictal period in epilepsy patients to improve the development of seizure prediction techniques. Background/Rationale: 30% of epilepsy patients are not well-controlled on medications and would benefit immensely from reliable seizure prediction. Methods/Methodology: Computational model consisting of in-silico Hodgkin-Huxley neurons arranged in a small-world topology using the Watts-Strogatz algorithm is used to generate synthetic electrocorticographic (ECoG) signals. ECoG data from 18 epilepsy patients is used to validate the model. Unsupervised machine learning is used with both patient and synthetic data to identify potential electrophysiologic biomarkers of the preictal period. Results/Findings: The model has shown states corresponding to …

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The Scripps Research Institute Summer Undergraduate Research Fellowship, Ezana Assefa Oct 2016

The Scripps Research Institute Summer Undergraduate Research Fellowship, Ezana Assefa

Trick to the Treat of Internships and Research

This program is a 10-week internship designed for undergraduates interested in the scientific field to engage in current research. Students have the option of requesting to work under three mentors, one of which they will be paired. Students will work in the lab with the principal investigator and other members of the lab. Along with working in the lab, students in the program will also attend bi-weekly talks/lectures from researchers, grad students, and professionals at TSRI as well as participating in two presentations and a final poster or oral presentation.

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Flexible Gating Of Contextual Influences In Natural Vision, Odelia Schwartz Oct 2015

Flexible Gating Of Contextual Influences In Natural Vision, Odelia Schwartz

Mathematics Colloquium Series

An appealing hypothesis suggests that neurons represent inputs in a coordinate system that is matched to the statistical structure of images in the natural environment. I discuss theoretical work on unsupervised learning of statistical regularities in natural images. In the model, Bayesian inference amounts to a generalized form of divisive normalization, a canonical computation that has been implicated in many neural areas. In our framework, divisive normalization is flexible: it is recruited only when the image is inferred to contain dependencies, and muted otherwise. I particularly focus on recent work in which we have applied this approach to understanding spatial …

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Cellular Life Beyond An Individual’S Death, Emily Schmitt Apr 2013

Cellular Life Beyond An Individual’S Death, Emily Schmitt

CAHSS Intellectual Conversations

One of the most famous examples of cell lines surviving long after a person has died comes from a tumor found in the body of Henrietta Lacks, who died of cervical cancer in 1950. The study of approximately 50 million tons of her cells, which would conservatively equal the amount of cells in one billion people, has resulted in nearly 11,000 patents, including the polio vaccine. These cells have become a focus of public attention since Rebecca Skloot’s 2010 book, The Immortal Life of Henrietta Lacks. This talk will discuss what happens to cells once they leave our bodies, …

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