This project is a collaboration using computational, theoretical, and experimental approaches to analyze early events in hearing, at various scales ranging from the motion of hair bundles to neural coding in the auditory nerve. The recent focus of the collaboration has been the active process that injects mechanical energy into the cochlea to assist the mechanical amplification of signals, in particular the hypothesis that the active process poises the organ's elements at the threshold of an oscillatory instability, called a Hopf bifurcation. The current focus extends to examine the interaction of the active process with its environment: adaptive mechanisms, other elements, and downstream processing. At the microscopic scale the environment of the active process consists of the adaptation mechanisms that regulate it and keep it poised, and detailed analysis of various candidate mechanisms is proposed. At the mesoscopic scale the environment includes other nearby active elements: the focus will be the interactions between hair cells in the whole cochlea, and the mechanism and process through which the dynamical behavior of each hair cell contributes to the overall function of the cochlea without a massive cacophony of feedback oscillations. The outcome would be a theory of what the observed responses should be, given the microscopic model. At the coarsest level the encoding of the auditory stream into the acoustic nerve will be studied, particularly how level-independent auditory percepts can be extracted from the level-dependent responses of the cochlea. Elucidation of the dynamical principles of cochlea behavior would likely guide newer generations of cochlear implants, aid in the design of pharmacological intervention, and help understand whether the ear's amplifies can be protected or recovered from damage. Similarly, elucidation of the principles of auditory neural coding should provide deeper guiding principles for voice recognition and other technology to assist the hearing impaired.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
5R01DC007294-02
Application #
6933123
Study Section
Special Emphasis Panel (ZRG1-MDCN-G (50))
Program Officer
Donahue, Amy
Project Start
2004-09-01
Project End
2007-08-31
Budget Start
2005-09-01
Budget End
2006-08-31
Support Year
2
Fiscal Year
2005
Total Cost
$232,978
Indirect Cost
Name
Rockefeller University
Department
Biostatistics & Other Math Sci
Type
Other Domestic Higher Education
DUNS #
071037113
City
New York
State
NY
Country
United States
Zip Code
10065
Andor-Ardó, Daniel; Keen, Erica C; Hudspeth, A J et al. (2012) Fast, automated implementation of temporally precise blind deconvolution of multiphasic excitatory postsynaptic currents. PLoS One 7:e38198
Andor-Ardo, Daniel; Hudspeth, A J; Magnasco, Marcelo O et al. (2010) Modeling the resonant release of synaptic transmitter by hair cells as an example of biological oscillators with cooperative steps. Proc Natl Acad Sci U S A 107:2019-24
Gelfand, Michael; Piro, Oreste; Magnasco, Marcelo O et al. (2010) Interactions between hair cells shape spontaneous otoacoustic emissions in a model of the tokay gecko's cochlea. PLoS One 5:e11116
Tkacik, Gasper; Magnasco, Marcelo O (2008) Decoding spike timing: the differential reverse-correlation method. Biosystems 93:90-100
Nagiel, Aaron; Andor-Ardo, Daniel; Hudspeth, A J (2008) Specificity of afferent synapses onto plane-polarized hair cells in the posterior lateral line of the zebrafish. J Neurosci 28:8442-53
Gardner, Timothy J; Magnasco, Marcelo O (2006) Sparse time-frequency representations. Proc Natl Acad Sci U S A 103:6094-9