Quantitative Neurophysiology

            This area of research is focussed on the electrophysiology of neurons. Examples of topics covered at CWRU include membrane biophysical properties, characterization of the ionic channels, description of electrical events associated with channel opening and closing, mechanisms underlying information transmission across neuronal tissue, analysis of the information processing in dendritic trees. The methods applied to these topics include patch-clamp recording of single channel currents, whole cell as well as micro electrode recordings in dissociated neurons, and in-vitro brain slice preparations. These experimental methods are combined with modeling and analysis techniques developed in mathematics and engineering to provide a quantitative understanding of the electric phenomena in the neural tissue. 

Drs. Hillel J. Chiel, Dominique M. Durand, David D. Friel, Stephen V. Jones, Joseph C. Lamanna, Benjamin Strowbridge

 

Neural Dynamics

            The goal of computational neuroscience is to bridge the gap between experimental observations of neuronal systems and theoretical models. These models are implemented on computers from equations derived theoretically. In this program, emphasis is placed upon testable models of experimentally-observed behavior of neuronal systems. Examples include models of ion concentration dynamics, channel kinetics, synaptic transmission, single neuron computation, oxygen metabolism, and application of dynamic system theory to neuronal models and networks. 

Drs. Hillel J. Chiel, Dominique M. Durand, Stephen V. Jones, Joseph C. Lamanna Kenneth A. Loparo, Cameron McIntyre

 

Neuro-Mechanical Systems

            This area of research utilizes the synergistic interaction of computational neuroscience and neurobiology to develop an understanding of how the nervous systems of insects, animals and humans is designed to coordinate and control movements. This has important consequences for the design of legged locomotion of bio-mimetic architectures. It is also relevant for the control of neural prostheses with artificial neural networks. Modelling of artificial and biological networks, as well as muscle properties are combined with experiments to arrive at engineering designs capable of producing appropriate motion in animals, humans and biomimetic robots. 

Drs. Hillel J. Chiel, Patrick E. Crago, Dominique M. Durand, Kenneth J. Gustafson, Robert Kirsch, Hunter Peckham, Roger D. Quinn,  Roy E. Ritzmann, Dustin Tyler

 

Neural Regeneration

            The mechanisms of the growth and development of the nervous system have not yet been elucidated. However, enough is already known to attempt various ways to engineer materials and devices to facilitate the growth of neurons for specific applications such as the regeneration of peripheral nerve in case of injury or surgical resection, the regeneration of the spinal cord tissue for spinal cord injury and the regeneration of retinal tissue.  

Drs. Ravi V. Bellamkonda, Allison Hall

 

Neural Interfacing

            One of the key elements of the ability to analyze neural systems and to enhance or replace neuronal function with engineered devices is the interface between the two systems. Currently devices are limited by the available technology. The challenge to neural engineers is to develop electrodes that can selectively record from and activate only few axons at a time. The design requires electrodes with associated electronic circuits to collect information about the activity of the nervous system and to stimulate neural tissue to restore function or sensation.   Moreover, the materials used must match the mechanical properties of the neural tissue in which they are placed and the potential damage of the devices must be evaluated. Innovations are accelerating and intimate contact between machines and neural tissue is within reach.

Drs. Dominique M. Durand, Hillel J. Chiel, Kenneth J. Gustafson, Robert Kirsch, Cameron McIntyre, Heidi Martin, Pedram Mohseni, Dustin Tyler, Dawn Taylor, Darrin Young, Chris Zorman

  

Neural Prostheses

            Neural prostheses are devices capable of supplementing or replacing damaged or lost functions of the nervous system. These devices rely on the ability to stimulate the nervous system and record its activity. Neural prostheses for the restoration of the hand/arm function and gait in paralyzed patients are currently being developed. Also in paralyzed patients, neural prostheses for the activation of the bladder, assisted respiration and cough are also currently being tested. Other neural prostheses for the obstructive sleep apnea and epilepsy are undergoing evaluation. Given the expertise and the large concentration of scientists and engineers interested in this field, several other prostheses will be developed: 

Drs. Dominique M. Durand, Graham Creasy, Robert Kirsch, Kenneth J. Gustafson, Michael W. Keith., J. Thomas Mortimer, P. Hunter Peckham, Kingman Strohl, Ronald Triolo

 

Neural Imaging and Molecular Sensing

            Recent advances in computer enhanced video microscopy and the availability of detection systems that resolve a variety of cellular and tissue parameters have led to the development of powerful tools for the study of neuronal function. Optical indicators have made it possible to image a growing list of chemical species within single cells, their distribution in various brain regions, and changes in their spatial concentration induced by physiological stimuli. Structural markers permit visualization of cytoskeletal elements that contribute to neuronal path-finding during development and regeneration after injury. Chemical sensors allow the measurements of concentration of compounds generated and used by neurons. Together, these techniques provide new insights in the analysis of the nervous system but also provide data for the development of new tools of measurements.

Dr. Dominique M. Durand, David Dean, Jeffrey L. Duerk, David D. Friel, Miklos Gratzl, Benjamin Strowbridge, David L.Wilson.

 

 

Systems Neuroscience

            Quantitative Systems Neuroscience is aimed at the study of neuronal assemblies displaying a high level of integration between cells. The first goal of quantitative system neuroscience is to apply the techniques and methods developed in basic science and engineering to understand the behavior of neuronal networks in terms of the electric and pharmacological properties of the neurons. A second goal is to explore approaches to interface computers with neuronal systems. The neural mechanisms underlying animal behavior, respiration and eye movements, and the development of neuronal prosthetic systems are some of the areas of activity represented by the Neuroscience and Engineering Program faculty. 

Drs. Hillel J. Chiel, Patrick E. Crago, L. Dell'-Osso, Dominique M. Durand, Kenneth J. Gustafson, Robert Kirsch, J. Leigh, Roy E. Ritzmann, Benjamin Strowbridge , Dawn Taylor, Dustin Tyler