Rice Neurobiology: Department of BioSiences
One of the most important challenges in biology is to understand how the nervous system works. Several labs within the Department of BioSciences are actively studying this issue with a variety of experimental techniques and systems. Experimental systems
in use include the model systems yeast, Drosophila, zebrafish, nematodes, chick, and mouse. The experimental techniques in use, which include biochemical, genetic, behavioral, electrophysiological, anatomical and computational techniques, are being used
to answer a wide range of questions in neuroscience. This wide range of methodologies, experimental systems, and experimental questions provides a unique environment for research into the structure, function and development of the nervous system.
Rice Cognitive Sciences Program
Researchers in this interdisciplinary field seek to understand such mental phenomena as perception, thought, memory, the acquisition and use of language, learning, concept formation, and consciousness. Some investigators focus on relationships between
brain structures and behavior, some work with computer simulation, and others work at more abstract philosophical levels.
Rice Systems and Cognitive Neuroscience Research Interest Group
The Systems and Cognitive Neuroscience Research Interest Group is comprised of students and faculty who have interests in understanding the relationship between the human brain and higher forms of behavior, including sensation, perception, attention,
memory, and language. In addition to the formal coursework that is part of this RIG, students engage in research using several different techniques available for studying the human brain, including patient-based studies, transcranial magnetic stimulation.
Rice Computational and Theoretical Bioengineering
The computational and theoretical bioengineering group works to explain, model, and provide the means to manipulate medically-related biological systems. Investigations range from biomechanics to protein-protein interactions, to stem cell differentiation
and immune system therapies. General areas of interest include bone and cartilage mechanics, stress effects on stem cell differentiation, sequence and structure properties of glycosaminoglycans, nanoelectromechanical transduction in cochlear, outer-hair
cell membranes, characterization of molecular imaging markers, structural biology, evolution and immune system therapies, design principles of biochemical circuits, and drug-based inhibition of aberrant protein interactions.
Baylor College of Medicine
The BCM faculty is composed of many of the nation’s leading neuroscience researchers representing a variety of sub-disciplines. Their expertise and contributions to discovery in fundamental processes of brain function in health and disease are well represented
in the most highly cited scientific journals with the greatest impact within the neuroscience community. For example, during the last three years alone, the combined 40 primary and secondary Neuroscience faculty have published 390 articles of which the
12 primary faculty account for 90 of those publications. Of the 90 publications from the primary faculty, 34 are in such leading highly cited journals as Science, Nature, Cell, Neuron, the Journal of Neuroscience and Annual Reviews of Neuroscience. In
addition, almost all of the Neuroscience faculty have independent research funding from the National Institutes of Health and many serve on major national advisory panels such as initial review groups at the National Institutes of Health and editorial
boards of leading scientific journals. The details of the individual Neuroscience faculty, their research interests and some representative publications are listed below. Enjoy their creativity and contributions!
The University of Texas Health Science Center at Houston
Neuroscience is considered by many to be one of the last frontiers of the biomedical sciences. At The University of Texas Health Science Center at Houston, we are committed to being at the forefront of these discoveries. Our research program is currently
supported by project awards totaling more than $16 million, reflecting an increase of more than 1200% in extramural grant support over the past 10 years. During that time, our faculty has also grown from 10 to 24 full-time faculty members. The Department
has also received several noteworthy awards including two NIH Training Grants, a Vision Core Grant, a NIH Program Project Grant on Computational Neuroscience, a NIH Program Project Grant on Systems Neuroscience, and an award from the prestigious Lucille
P. Markey Charitable Trust. Most recently the department received a grant from the W. M. Keck Foundation to create the W. M. Keck Center for the Neurobiology of Learning and Memory. Research conducted in the department encompasses all areas of neuroscience.
However, special emphases exist in the areas of vision, learning, and memory.
Jan and Dan Duncan Neurological Research Institute
The Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital (NRI) opened in December 2010. Dedicated to improving the lives of patients facing devastating neurological disorders, the NRI is a basic research institute committed
to understanding the pathogenesis of neurological diseases with the ultimate goal of developing treatments. The Institute is carefully designed to foster collaboration among 30 to 40 basic faculty and clinician-scientists with the goal of developing
treatments for childhood neurological diseases. Core research laboratories specifically support translational neuroscience research. World-renowned researchers from a range of scientific disciplines come together to contribute their specific expertise
and accelerate the pace of discovery in pediatric neurological disorders.
Gulf Coast Consortium for Theoretical and Computational Neuroscience
Our goal is to identify and build a curriculum in Theoretical and Computational Neuroscience that offers breadth and depth and, most importantly, jibes with existing graduate programs in the member institutions. Each of our institutions, at present,
covers the fundamentals of theoretical and computational neuroscience through introductory courses. We are not proposing a new graduate program but rather an inter-institutional curriculum that best exploits our existing training resources. The articulation
of this curriculum will be manifested in proposals for one or more training grants.