The long-term objective of the proposed research is to gain a better understanding of the functional roles of nonlinear and stochastic processes in neural mechanisms of information processing in the sensory nervous systems of vertebrates. We will use the electro-receptors of paddlefish as an advantageous experimental model for studying general basic mechanisms of sensory systems, especially mechanisms involving oscillations, bursting, noise, synchronization, and stochastic resonance. Paddlefish are a newly developed model system presenting unique experimental advantages for studying sensorineural integration. We discovered recently that electro-receptors have a novel bi-periodic organization: they have two distinct types of self-sustained oscillators, one cycling at 40-70 Hz in the primary afferent, together with 25-30 Hz oscillators in the electro-sensitive epithelium. The two types of oscillators are coupled uni-directionally by hair cell -to- afferent excitatory synapses. Electro-receptors therefore offer a well-defined peripheral oscillatory neural network for defining nonlinear and stochastic sensory mechanisms. This proposal includes components of experimental neurophysiology, behavioral biology, and computational neuroscience, and is based on physical theory of stochastic nonlinear systems. We will study the electro-sensory system of paddlefish on different levels, using: (i) in vitro preparations to gain information about the structural basis and cellular mechanisms of oscillations in hair cells and afferent terminals, (ii) in vivo preparations together with approaches from nonlinear dynamics to characterize the electro-receptor response dynamics, their transfer and sensory encoding properties, stochastic resonance, synchronization, and noise-induced transitions to a bursting mode of stimulus encoding, (iii) feeding behavior experiments to confirm the validity of proposed sensory encoding rules, and (iv) theoretical and computer modeling to explore numerically the functional roles of oscillatory activity in neurosensors. The proposed research is intended to lead to a better understanding of basic physiological properties of hair cell - primary afferent sensory receptors, including those mediating hearing and balance in humans, as well as general fundamental mechanisms of sensory processing in oscillatory neural networks, which include the human visual, olfactory, auditory, and somatosensory systems, as well as the disordered networks of epileptic and Parkinsonian patients.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
1R01DC004922-01A1
Application #
6545436
Study Section
Integrative, Functional and Cognitive Neuroscience 8 (IFCN)
Program Officer
Luethke, Lynn E
Project Start
2002-09-01
Project End
2005-08-31
Budget Start
2002-09-01
Budget End
2003-08-31
Support Year
1
Fiscal Year
2002
Total Cost
$324,165
Indirect Cost
Name
University of Missouri-St. Louis
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
City
Saint Louis
State
MO
Country
United States
Zip Code
63121
Bauermeister, Christoph; Schwalger, Tilo; Russell, David F et al. (2013) Characteristic effects of stochastic oscillatory forcing on neural firing: analytical theory and comparison to paddlefish electroreceptor data. PLoS Comput Biol 9:e1003170
Neiman, Alexander B; Russell, David F; Rowe, Michael H (2011) Identifying temporal codes in spontaneously active sensory neurons. PLoS One 6:e27380
Neiman, Alexander B; Russell, David F (2011) Sensory coding in oscillatory electroreceptors of paddlefish. Chaos 21:047505
Engel, Tatiana A; Helbig, Brian; Russell, David F et al. (2009) Coherent stochastic oscillations enhance signal detection in spiking neurons. Phys Rev E Stat Nonlin Soft Matter Phys 80:021919
Fuwape, Ibiyinka; Neiman, Alexander B (2008) Spontaneous firing statistics and information transfer in electroreceptors of paddlefish. Phys Rev E Stat Nonlin Soft Matter Phys 78:051922
Neiman, Alexander B; Russell, David F; Yakusheva, Tatyana A et al. (2007) Response clustering in transient stochastic synchronization and desynchronization of coupled neuronal bursters. Phys Rev E Stat Nonlin Soft Matter Phys 76:021908
Neiman, Alexander B; Yakusheva, Tatyana A; Russell, David F (2007) Noise-induced transition to bursting in responses of paddlefish electroreceptor afferents. J Neurophysiol 98:2795-806
Brea, Jorge; Russell, David F; Neiman, Alexander B (2006) Measuring direction in the coupling of biological oscillators: a case study for electroreceptors of paddlefish. Chaos 16:026111
Neiman, Alexander B; Russell, David F (2005) Models of stochastic biperiodic oscillations and extended serial correlations in electroreceptors of paddlefish. Phys Rev E Stat Nonlin Soft Matter Phys 71:061915
Liepelt, Steffen; Freund, Jan A; Schimansky-Geier, Lutz et al. (2005) Information processing in noisy burster models of sensory neurons. J Theor Biol 237:30-40

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