| 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 | 222 | 2006 |
| Rule-based neural networks for classification and probability estimation RM Goodman, CM Higgins, JW Miller, P Smyth Neural computation 4 (6), 781-804, 1992 | 129 | 1992 |
| Adaptive routing in a parallel computing system AH Frey Jr, JM Gould, CM Higgins Jr US Patent 5,181,017, 1993 | 103 | 1993 |
| Fuzzy rule-based networks for control CM Higgins, RM Goodman IEEE Transactions on Fuzzy Systems 2 (1), 82-88, 1994 | 85 | 1994 |
| 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 | 78 | 2010 |
| A modular multi-chip neuromorphic architecture for real-time visual motion processing CM Higgins, C Koch Analog Integrated Circuits and Signal Processing 24, 195-211, 2000 | 65 | 2000 |
| Pulse-based 2-D motion sensors CM Higgins, RA Deutschmann, C Koch IEEE Transactions on Circuits and Systems II: Analog and Digital Signal …, 1999 | 62 | 1999 |
| 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 | 55 | 2004 |
| A biologically inspired modular VLSI system for visual measurement of self-motion CM Higgins, SA Shams IEEE Sensors Journal 2 (6), 508-528, 2002 | 51 | 2002 |
| Learning fuzzy rule-based neural networks for function approximation CM Higgins, RM Goodman Proc. of IJCNN 1, 251-256, 1992 | 47 | 1992 |
| A hybrid rule-based/Bayesian classifier P Smyth, RM Goodman, CM Higgins Proceedings of the 9th European Conference on Artificial Intelligence, 610-615, 1990 | 47 | 1990 |
| Multi-chip neuromorphic motion processing CM Higgins, C Koch Proceedings 20th Anniversary Conference on Advanced Research in VLSI, 309-323, 1999 | 41 | 1999 |
| Learning fuzzy rule-based neural networks for control C Higgins, R Goodman Advances in Neural Information Processing Systems 5, 1992 | 41 | 1992 |
| 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 | 39 | 2005 |
| 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 | 35 | 2004 |
| An elaborated model of fly small-target tracking CM Higgins, V Pant Biological cybernetics 91 (6), 417-428, 2004 | 34 | 2004 |
| Incremental learning with rule-based neural networks. CM Higgins, RM Goodman International Joint Conference on Neural Networks. 1, 875-880, 1991 | 33 | 1991 |
| Parallel processing in the optic lobes of flies and the occurrence of motion computing circuits NJ Strausfeld, JK Douglass, H Campbell, C Higgins Invertebrate vision 2006, 349-398, 2006 | 29 | 2006 |
| Ohlson Ranch Formation, Pliocene, northwestern Sonoma County, California CG Higgins, JH Peck University of California Press, 1960 | 24 | 1960 |
| Analog VLSI implementation of spatio-temporal frequency tuned visual motion algorithms CM Higgins, V Pant, R Deutschmann IEEE Transactions on Circuits and Systems I: Regular Papers 52 (3), 489-502, 2005 | 23 | 2005 |
