COMPUTATIONAL NEUROSCIENCE

This area of research encompasses a diverse set of approaches in which
mathematical or computational tools are used to better understand the nervous system.
Computer modeling ranges from simulations of the kinetics of single ion
channels, to biologically realistic single-neuron models, network models,
and models of cognitive processes.
Experimental techniques include the creation
of neural hybrid systems - interfaces between biological neurons and
computer-simulated or micro-engineered components; and real-time feedback
control allowing computational analysis of an ongoing data stream to be used to
dynamically interact with the biological preparation.
Computational Neuroscience is not located in a single
Department at Emory, but is a well-established community created through joint ventures,
collaborations, journal clubs, and workshops involving Emory, Georgia Institute of
Technology, and Georgia State University faculty.
Faculty with interests in Computational Neuroscience:
- Calabrese, Ronald
[rcalabre@biology.emory.edu]
The Calabrese lab uses detailed neuron models in functional networks to guide experimental
analysis of living neuronal networks; these models are in some cases running on computers in
real time and can be interfaced to living neurons (in isolation or in networks) to form hybrid
systems for experimental analysis.
- Jaeger, Dieter
[djaeger@emory.edu]
We use detailed realistic single cell models in conjunction with slice
and in vivo electrophysiology to examine computational properties of
cerebellar and basal ganglia networks.
- Jenkins, Andrew [ajenki2@emory.edu]
We study the molecular events involved in the activation and modulation of the GABAA receptor.
- Keilholz, Shella [shella.keilholz@bme.gatech.edu]
My lab focuses on developing imaging methods to study networks of activity in the brain.
- Liu, Robert [robert.liu@emory.edu]
Neural coding of communication sounds and plasticity in the auditory system.
- Nichols, Richard T [trn@physio.emory.edu]
We are developing a model of the feline musculoskeletal system to understand mechanisms
of posture and the contributions of spinal pathways to motor coordination, and we are also developing a
dynamic clamp for muscle that will simulate realistic loading conditions.
- Steve M. Potter
[steve.potter@bme.gatech.edu]
We are applying multi-electrode arrays, 2-photon time-lapse microscopy,
and high-speed imaging of neural activity to study dissociated cultures of hundreds or
thousands of mammalian neurons. We are especially interested in distributed activity
patterns and information processing in these cultured networks.
- Prinz, Astrid [astrid.prinz@emory.edu]
My lab uses a brute-force computational approach to investigate pattern
generation and homeostasis in small neuronal networks, and we couple
model neurons and biological neurons to study synchronization in hybrid
networks of bursting neurons.
- Ting, Lena [lting@emory.edu]
Neural and mechanical interactions underlying sensorimotor control in human and animal movement.
- Traynelis, Steve [strayne@emory.edu]
We use quantitative modeling of glutamate receptor ion channel
activation and modulation to gain insight into the structural basis for
function in this important class of synaptic receptors.
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