DocumentCode :
2035692
Title :
A Hybrid System for Exploring Cortically-Based Environmental Sensing
Author :
Clement, Ryan S. ; Si, Jennie ; Visser, Chris ; Rousche, Patrick J.
Author_Institution :
Dept. of Bioeng., Penn State Univ., University Park, PA
fYear :
2006
fDate :
20-22 Feb. 2006
Firstpage :
74
Lastpage :
79
Abstract :
This paper introduces a novel mechano-bio hybrid system that we are developing which incorporates auditory cortical responses from awake and unrestrained rats as a potential biological sensor signal for guided system locomotion. With the system we investigated the feasibility of extracting parameters from neural recordings that could be used to detect the occurrence of regular auditory stimuli ("clicks") emitted from a fixed sound source and estimate its distance. Rats were chronically implanted with planar silicon-based multielectrode arrays in the auditory cortex. They were placed onto a remotely-controlled mobile robot and passively moved along a linear track which had a sound source at one end. Simultaneous neural recordings showed significant modulation during stimuli. We demonstrate the feasibility of obtaining and analysing neural recordings from awake and unrestrained animals riding on the motorized platform using classical neurophysiology techniques (ie, peri-stimulus time histograms or PSTHs). The concepts demonstrated here could be extended relatively easy to other animals in other sensory areas to augment computer sensing and robot control applications
Keywords :
auditory evoked potentials; biomedical electrodes; man-machine systems; medical robotics; mobile robots; neurophysiology; prosthetics; silicon; telecontrol; auditory cortical responses; biological sensor signal; brain-machine interface; environmental sensing; guided system locomotion; linear track; mechano-bio hybrid system; neural recordings; neuroprosthetics; peri-stimulus time histograms; planar silicon-based multielectrode arrays; regular auditory stimuli; remotely-controlled mobile robot; Animals; Biomedical engineering; Biosensors; Brain modeling; Circuits; Electrodes; Rats; Robot control; Robot sensing systems; Surgery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Robotics and Biomechatronics, 2006. BioRob 2006. The First IEEE/RAS-EMBS International Conference on
Conference_Location :
Pisa
Print_ISBN :
1-4244-0040-6
Type :
conf
DOI :
10.1109/BIOROB.2006.1639063
Filename :
1639063
Link To Document :
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