Title | ||
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A Hardware Based Implementation Of A Tactile Sensory System For Neuromorphic Signal Processing Applications |
Abstract | ||
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The implementation of a tactile sensory system for neuromorphic signal processing applications is presented. It has been developed by modelling the structure and behaviour of real rodent facial vibrissae. The primary afferents have been modelled using empirical data taken from electrophysiological measurements, and implemented in real time using hardware processors (DSP/FPGA). Pipelining techniques were employed to maximise the utility of the FPGA hardware. The system is to be integrated into a more complete whisker sensory model, including neural structures within the central nervous system, which can be used to orientate a mobile robot. |
Year | DOI | Venue |
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2006 | 10.1109/ICASSP.2006.1661178 | 2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13 |
Keywords | Field | DocType |
signal processing,central nervous system,neurophysiology,sensory system,tactile sensors,electrophysiology,field programmable gate arrays,hardware,real time,mobile robots,fpga,mobile robot,rodents,dsp,digital signal processing | Pipeline (computing),Signal processing,Digital signal processing,Computer science,Field-programmable gate array,Neuromorphic engineering,Computer hardware,Sensory system,Mobile robot,Tactile sensor,Embedded system | Conference |
ISSN | Citations | PageRank |
1520-6149 | 2 | 0.70 |
References | Authors | |
4 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Martin J. Pearson | 1 | 215 | 26.34 |
Mokhtar Nibouche | 2 | 50 | 11.87 |
Ian Gilhespy | 3 | 75 | 10.01 |
Kevin N. Gurney | 4 | 445 | 53.49 |
Chris Melhuish | 5 | 747 | 87.61 |
Benjamin Mitchinson | 6 | 86 | 7.90 |
Anthony G. Pipe | 7 | 255 | 39.08 |