Abstract

This project is attempting to develop a parametric model of the hippocampus based on an n-level field theory developed by the collaborator, Dr. Chauvet. The formalisms of Dr. Chauvet's theory provide the means for a continuous representation of hierarchically organized physiological systems. In this approach, field equations are used to describe the dynamics of physiological processes existing at the synaptic level (activity of a single neuron) and at the neuronal level (activity of a population of neurons). A geometrical model is used to impose spatial boundaries so that diffusion, propagation, etc. can be limited according to known in homogeneities characteristic of the hippocampus. To date, the field equations have been adapted to the specific case of excitatory synaptic input to hippocampal dentate granule cells, and a geometrical model that incorporates the essential morphological and anatomical features of perforant path input to dentate granule cells has been constructed. The synaptic and action potential activity of a population of neurons, each having a population of synaptic input sites on distal dendrites, has been simulated. The specific problem being investigated is how to extend the current two-level field theory to include a third, molecular level that would allow representation of receptor and channel kinetics. Work in this project has been supported by Office of Naval Research (N00014-94-1-0568) to Professor Chauvet.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR001861-15
Application #
6205824
Study Section
Project Start
1999-09-01
Project End
2000-08-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
15
Fiscal Year
1999
Total Cost
Indirect Cost

  Institution

Name
University of Southern California
Department
Type
DUNS #
041544081
City
Los Angeles
State
CA
Country
United States
Zip Code
90089

  Publications

Song, Dong; Wang, Haonan; Tu, Catherine Y et al. (2013) Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions. J Comput Neurosci 35:335-57
Hoppenbrouwers, Toke; Oliveira, Flavia; Sandarupa, Stanislaus et al. (2012) The development of the circadian heart rate rhythm (CHR) in Asian infants. Early Hum Dev 88:555-61
Wang, Xiaoning; Schumitzky, Alan; D'Argenio, David Z (2007) Nonlinear Random Effects Mixture Models: Maximum Likelihood Estimation via the EM Algorithm. Comput Stat Data Anal 51:6614-6623
Gholmieh, Ghassan; Courellis, Spiros; Marmarelis, Vasilis et al. (2007) Nonlinear dynamic model of CA1 short-term plasticity using random impulse train stimulation. Ann Biomed Eng 35:847-57
Gholmieh, Ghassan; Courellis, Spiros; Dimoka, Angelika et al. (2004) An algorithm for real-time extraction of population EPSP and population spike amplitudes from hippocampal field potential recordings. J Neurosci Methods 136:111-21
Ashjian, Peter; Elbarbary, Amir; Zuk, Patricia et al. (2004) Noninvasive in situ evaluation of osteogenic differentiation by time-resolved laser-induced fluorescence spectroscopy. Tissue Eng 10:411-20
Jo, Javier A; Blasi, Anna; Valladares, Edwin et al. (2003) Model-based assessment of autonomic control in obstructive sleep apnea syndrome during sleep. Am J Respir Crit Care Med 167:128-36
Belozeroff, Vasily; Berry, Richard B; Khoo, Michael C K (2003) Model-based assessment of autonomic control in obstructive sleep apnea syndrome. Sleep 26:65-73
Bading, James R; Yoo, Paul B; Fissekis, John D et al. (2003) Kinetic modeling of 5-fluorouracil anabolism in colorectal adenocarcinoma: a positron emission tomography study in rats. Cancer Res 63:3667-74
Xu, Lu; Eiseman, Julie L; Egorin, Merrill J et al. (2003) Physiologically-based pharmacokinetics and molecular pharmacodynamics of 17-(allylamino)-17-demethoxygeldanamycin and its active metabolite in tumor-bearing mice. J Pharmacokinet Pharmacodyn 30:185-219

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