Connecting Neurons...

Project aims to help brain fix itself

Rice Sep 22, 2015

Can we direct the growth of new neurons to treat stroke and neurodegenerative diseases? Researchers at Rice are aiming to find out, by combining experiments and computational analysis to learn how the brain organizes itself.

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GCC Neuroengineering annual symposium

Rice Sep 22, 2015

The 5th Annual NeuroEngineering Symposium will be held October 2, 2015. We'll bring together engineering-minded researchers and physicians dedicated to synergistic work on the nervous system.

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Robinson to speak at BCM

Rice Sep 15, 2015

The Baylor Department of Neuroscience presents Jacob T. Robinson, Ph.D., assistant professor of electrical and computer engineering, and bioengineering, of Rice University. Dr. Robinson will speak on Scalable Neurotechnologies.

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Algorithm clarifies "Big Data" clusters

Rice Aug 12, 2015

Bioengineer Amina Qutub designed an algorithm called “progeny clustering” that is being used in a hospital study to identify which treatments should be given to children with leukemia.

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Rice ECE, UT Health awarded $1.02M from NSF

Rice Aug 12, 2015

Rice ECE, UT Health Awarded $1.02M Grant from NSF to study the way the brain processes speech and language. The award will be used to research the way the brain processes language and speech.

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August 3:

Vincent Pieribone

Duncan Hall 11 am

Genetically Encoded Voltage Indicators

Genetically encoded indicators of voltage offer the promise of less invasive monitoring of identified neuronal activity. Several fluorescent indicators have been developed but the use in in vivo experiments remains minimal. I will discuss efforts by our laboratory to produce indicators that perform better in in vivo experiments in mammalian cortex. This involves novel fluorescent protein discovery and engineering of indicator molecules as well as in vivo application in mammalian brain.

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May 26:

Justin Ruths '04

DH 1064 4 pm

Optimal Control of an Epileptic Neural Population Model

In this talk, I will present the model and a formulation of the seizure abatement goal expressed as an optimal control problem. I will show several results including a realistic, noise-driven simulation where the control is applied as needed in a moving window. Finally, I will present results from our ongoing work that investigates spatially heterogenous and patient specific models and stimuli.

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