The overall goal of this research is to determine how the neurons in a relatively complex, topographically-mapped sensory system extract information about stimuli and encode that information in their spike trains.
The specific aims of the studies are: 1) to determine what parameters of sensory stimuli are encoded in the spike trains of the sensory receptors and projecting interneurons in this system; 2) to determine the accuracy with which that information is encoded; 3) to determine how the information is encoded within different aspects of the spike train patterns; 4) to examine the mechanisms through which the observed coding scheme is actually implemented within this neural network, 5) to determine the extent to which the observed accuracy approaches the theoretical maximum limits, given the constraints imposed by the """"""""physics"""""""" of the stimulus environment, and 6) to examine the principles through which features of the system have been optimized to meet those constraints. The preparation to be studied is the cercal sensory system of the cricket. This system mediates the detection and analysis of low velocity air currents in the animal's immediate environment. All relevant sensory information is carried to higher centers by only ten pairs of primary sensory interneurons. All of these output units are identified, and all will be monitored simultaneously with extracellular electrodes. The first three goals listed above will be achieved by carrying out several types of electrophysiological input/output analyses, primarily at a systems level. Principles of information theory will be applied to the data to obtain quantitative, model-independent measures of the amount of information encoded within the spike trains of sensory receptors and primary sensory interneurons. The fourth goal will be achieved through further electrophysiological measurements, the results of which will be embodied in a physiology-based model of the system. The model will be refined, and its validity tested, on the basis of information theoretic analyses similar to the ones that were carried out on the real system. The fifth goal will be achieved through calculations of the constraints on the system's performance imposed by thermal noise in the air current environment. The sixth goal will be achieved through computer simulations of mechanoreceptor and interneuron characteristics. The studies will elucidate general principles related to optimal signal processing within sensory systems and may suggest general algorithms for efficient coding of information by ensembles of neurons.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH057179-12
Application #
6392249
Study Section
Cognitive Functional Neuroscience Review Committee (CFN)
Program Officer
Glanzman, Dennis L
Project Start
1988-04-01
Project End
2003-06-30
Budget Start
2001-07-01
Budget End
2003-06-30
Support Year
12
Fiscal Year
2001
Total Cost
$150,323
Indirect Cost
Name
Montana State University Bozeman
Department
Anatomy/Cell Biology
Type
Schools of Arts and Sciences
DUNS #
City
Bozeman
State
MT
Country
United States
Zip Code
59717
Huang, Yikun; Miller, John P (2004) Phased-array processing for spike discrimination. J Neurophysiol 92:1944-57
Dimitrov, Alexander G; Miller, John P; Gedeon, Tomas et al. (2003) Analysis of neural coding through quantization with an information-based distortion measure. Network 14:151-76
Dimitrov, A G; Miller, J P (2001) Analyzing sensory systems with the information distortion function. Pac Symp Biocomput :251-62
Dimitrov, A G; Miller, J P (2001) Neural coding and decoding: communication channels and quantization. Network 12:441-72
Roddey, J C; Girish, B; Miller, J P (2000) Assessing the performance of neural encoding models in the presence of noise. J Comput Neurosci 8:95-112