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Physical Sciences and Mathematics Commons

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Full-Text Articles in Physical Sciences and Mathematics

Characterization Of Cellular Uptake And Toxicity Of Aminosilane-Coated Iron Oxide Nanoparticles With Different Charges In Central Nervous System-Relevant Cell Culture Models, Zhizhi Sun, Vinith Yathindranath, Matthew Worden, James A. Thliveris, Stephanie Chu, Fiona E. Parkinson, Torsten Hegmann, Donald W. Miller Mar 2013

Characterization Of Cellular Uptake And Toxicity Of Aminosilane-Coated Iron Oxide Nanoparticles With Different Charges In Central Nervous System-Relevant Cell Culture Models, Zhizhi Sun, Vinith Yathindranath, Matthew Worden, James A. Thliveris, Stephanie Chu, Fiona E. Parkinson, Torsten Hegmann, Donald W. Miller

Torsten Hegmann

Background: Aminosilane-coated iron oxide nanoparticles (AmS-IONPs) have been widely used in constructing complex and multifunctional drug delivery systems. However, the biocompatibility and uptake characteristics of AmS-IONPs in central nervous system (CNS)-relevant cells are unknown. The purpose of this study was to determine the effect of surface charge and magnetic field on toxicity and uptake of AmS-IONPs in CNS-relevant cell types.


Google And The World Brain, Dereck Daschke Jan 2013

Google And The World Brain, Dereck Daschke

Journal of Religion & Film

This is a film review of Google and the World Brain (2013) directed by Ben Lewis.


Nonlinear Granger Causality And Its Application In Decoding Of Human Reaching Intentions, Mengting Liu Jan 2013

Nonlinear Granger Causality And Its Application In Decoding Of Human Reaching Intentions, Mengting Liu

Doctoral Dissertations

Multi-electrode recording is a key technology that allows the brain mechanisms of decision making, cognition, and their breakdown in diseases to be studied from a network perspective. As the hypotheses concerning the role of neural interactions in cognitive paradigms become increasingly more elaborate, the ability to evaluate the direction of neural interactions in neural networks holds the key to distinguishing their functional significance.

Granger Causality (GC) is used to detect the directional influence of signals between multiple locations. To extract the nonlinear directional flow, GC was completed through a nonlinear predictive approach using radial basis functions (RBF). Furthermore, to obtain …