Charles M. Higgins
Charles M. Higgins
Associate Professor, Department of Neuroscience, University of Arizona
neurobio.arizona.edu의 이메일 확인됨
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A navigation aid for the blind using tactile-visual sensory substitution
LA Johnson, CM Higgins
2006 International Conference of the IEEE Engineering in Medicine and …, 2006
2012006
Rule-based neural networks for classification and probability estimation
RM Goodman, CM Higgins, JW Miller, P Smyth
Neural computation 4 (6), 781-804, 1992
1161992
Adaptive routing in a parallel computing system
AH Frey Jr, JM Gould, CM Higgins Jr
US Patent 5,181,017, 1993
1021993
Fuzzy rule-based networks for control
CM Higgins, RM Goodman
IEEE Transactions on Fuzzy Systems 2 (1), 82-88, 1994
811994
The spatial frequency tuning of optic-flow-dependent behaviors in the bumblebee Bombus impatiens
JP Dyhr, CM Higgins
Journal of Experimental Biology 213 (10), 1643-1650, 2010
632010
A modular multi-chip neuromorphic architecture for real-time visual motion processing
CM Higgins, C Koch
Analog Integrated Circuits and Signal Processing 24 (3), 195-211, 2000
622000
Pulse-based 2-D motion sensors
CM Higgins, RA Deutschmann, C Koch
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal …, 1999
621999
The computational basis of an identified neuronal circuit for elementary motion detection in dipterous insects
CM Higgins, JK Douglass, NJ Strausfeld
Visual neuroscience 21 (4), 567-586, 2004
522004
A biologically inspired modular VLSI system for visual measurement of self-motion
CM Higgins, SA Shams
IEEE Sensors Journal 2 (6), 508-528, 2002
492002
A hybrid rule-based/Bayesian classifier
P Smyth, RM Goodman, CM Higgins
Proceedings of the 9th European Conference on Artificial Intelligence, 610-615, 1990
471990
Multi-chip neuromorphic motion processing
CM Higgins, C Koch
Proceedings 20th Anniversary Conference on Advanced Research in VLSI, 309-323, 1999
431999
Learning fuzzy rule-based neural networks for function approximation
CM Higgins, RM Goodman
IEEE 1, 251-256, 1992
421992
Reconfigurable biologically inspired visual motion systems using modular neuromorphic VLSI chips
E Ozalevli, CM Higgins
IEEE Transactions on Circuits and Systems I: Regular Papers 52 (1), 79-92, 2005
392005
Learning fuzzy rule-based neural networks for control
CM Higgins, RM Goodman
Morgan Kaufmann, 1993
381993
Incremental learning with rule-based neural networks
CM Higgins, RM Goodman
IEEE 1, 875-880, 1991
341991
An elaborated model of fly small-target tracking
CM Higgins, V Pant
Biological cybernetics 91 (6), 417-428, 2004
322004
A biomimetic VLSI sensor for visual tracking of small moving targets
CM Higgins, V Pant
IEEE Transactions on Circuits and Systems I: Regular Papers 51 (12), 2384-2394, 2004
312004
Parallel processing in the optic lobes of flies and the occurrence of motion computing circuits
NJ Strausfeld, JK Douglass, H Campbell, CM Higgins
Invertebrate vision 2006, 349-398, 2006
272006
Sensory architectures for biologically inspired autonomous robotics
CM Higgins
The Biological Bulletin 200 (2), 235-242, 2001
252001
Real-time analog VLSI sensors for 2-D direction of motion
RA Deutschmann, CM Higgins, C Koch
International Conference on Artificial Neural Networks, 1163-1168, 1997
231997
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