DocumentCode
3165888
Title
Decoding Target Range from Sensori-motor Neuron Activities in Echolocating Bat Superior Colliculus
Author
Li, Yao ; Song, Y.D.
Author_Institution
Univ. of Maryland, College Park
fYear
2007
fDate
9-13 July 2007
Firstpage
3402
Lastpage
3407
Abstract
The mammalian superior colliculus (SC), a midbrain sensory motor nucleus located on the dorsal surface of the brain stem, is accountable for the control of goal directed orientation responses towards external sensory stimuli. The bat´s heavy reliance on sound processing is reflected in specializations of auditory and motor neural structures. In this work, chronic behavioral and neural recordings from insectivorous echolocation bat, Eptesicus Fuscus, are collected and analyzed. By applying principal components analysis technique to the recorded multi-units sensori-motor neuron activity, the auditory sensory signal is extracted. The cortical representation of spatiotemporal pattern by echolocation signals is generated for target range estimation. A computational sensory decoding model for bat-inspired real time feedback control and spatial navigation through complex environments is developed, which could provide valuable insight for bio-inspired control in robotics and applications in neuromorphic engineering.
Keywords
auditory evoked potentials; bioacoustics; biocontrol; mechanoception; neurophysiology; physiological models; principal component analysis; Eptesicus Fuscus; auditory neural structures; auditory sensory signal; bioinspired control; brain stem dorsal surface; chronic behavioral recordings; computational sensory decoding model; cortical representation; echolocating bat superior colliculus; echolocation signal; external sensory stimuli; feedback control; goal directed orientation response; insectivorous echolocation bat; mammalian superior colliculus; midbrain sensory motor nucleus; motor neural structures; neural recordings; neuromorphic engineering; principal component analysis; robotics; sensorimotor neuron activities; sound processing; spatial navigation; spatiotemporal pattern; target range decoding; target range estimation; Computational modeling; Decoding; Feedback control; Navigation; Neurons; Principal component analysis; Robot control; Robot sensing systems; Signal generators; Spatiotemporal phenomena;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2007. ACC '07
Conference_Location
New York, NY
ISSN
0743-1619
Print_ISBN
1-4244-0988-8
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2007.4282573
Filename
4282573
Link To Document