Year |
Citation |
Score |
2017 |
Northcutt BD, Higgins CM. An insect-inspired model for visual binding II: functional analysis and visual attention. Biological Cybernetics. PMID 28303334 DOI: 10.1007/S00422-017-0716-Z |
0.738 |
|
2017 |
Northcutt BD, Dyhr JP, Higgins CM. An insect-inspired model for visual binding I: learning objects and their characteristics. Biological Cybernetics. PMID 28303333 DOI: 10.1007/S00422-017-0715-0 |
0.666 |
|
2014 |
Pham TT, Higgins CM. A visual motion detecting module for dragonfly-controlled robots. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 1666-9. PMID 25570294 DOI: 10.1109/EMBC.2014.6943926 |
0.32 |
|
2012 |
Pant V, Higgins CM. Tracking improves performance of biological collision avoidance models. Biological Cybernetics. 106: 307-22. PMID 22744199 DOI: 10.1007/S00422-012-0499-1 |
0.632 |
|
2011 |
Rivera-Alvidrez Z, Lin I, Higgins CM. A neuronally based model of contrast gain adaptation in fly motion vision. Visual Neuroscience. 28: 419-31. PMID 21854701 DOI: 10.1017/S095252381100023X |
0.492 |
|
2010 |
Dyhr JP, Higgins CM. Non-directional motion detectors can be used to mimic optic flow dependent behaviors. Biological Cybernetics. 103: 433-46. PMID 21161268 DOI: 10.1007/S00422-010-0414-6 |
0.779 |
|
2010 |
Dyhr JP, Higgins CM. The spatial frequency tuning of optic-flow-dependent behaviors in the bumblebee Bombus impatiens. The Journal of Experimental Biology. 213: 1643-50. PMID 20435814 DOI: 10.1242/Jeb.041426 |
0.77 |
|
2007 |
Pant V, Higgins CM. A biomimetic focal plane speed computation architecture Optics Infobase Conference Papers. |
0.54 |
|
2006 |
Johnson LA, Higgins CM. A navigation aid for the blind using tactile-visual sensory substitution. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 1: 6289-92. PMID 17945950 DOI: 10.1109/IEMBS.2006.259473 |
0.316 |
|
2006 |
Özalevli E, Hasler P, Higgins CM. Winner-take-all-based visual motion sensors Ieee Transactions On Circuits and Systems Ii: Express Briefs. 53: 717-721. DOI: 10.1109/Tcsii.2006.875378 |
0.473 |
|
2005 |
Higgins CM, Pant V, Deutschmann R. Analog VLSI implementation of spatio-temporal frequency tuned visual motion algorithms Ieee Transactions On Circuits and Systems I: Regular Papers. 52: 489-502. DOI: 10.1109/Tcsi.2004.841601 |
0.703 |
|
2005 |
Özalevli E, Higgins CM. Reconfigurable biologically inspired visual motion systems using modular neuromorphic VLSI Chips Ieee Transactions On Circuits and Systems I: Regular Papers. 52: 79-92. DOI: 10.1109/Tcsi.2004.838307 |
0.513 |
|
2005 |
Rivera-Alvidrez Z, Higgins CM. Contrast saturation in a neuronally-based model of elementary motion detection Neurocomputing. 65: 173-179. DOI: 10.1016/J.Neucom.2004.10.102 |
0.405 |
|
2005 |
Melano T, Higgins CM. The neuronal basis of direction selectivity in lobula plate tangential cells Neurocomputing. 65: 153-159. DOI: 10.1016/J.Neucom.2004.10.002 |
0.684 |
|
2004 |
Higgins CM, Pant V. An elaborated model of fly small-target tracking. Biological Cybernetics. 91: 417-28. PMID 15597180 DOI: 10.1007/S00422-004-0518-Y |
0.672 |
|
2004 |
Higgins CM, Douglass JK, Strausfeld NJ. The computational basis of an identified neuronal circuit for elementary motion detection in dipterous insects. Visual Neuroscience. 21: 567-86. PMID 15579222 DOI: 10.1017/S0952523804214079 |
0.648 |
|
2004 |
Higgins CM. Nondirectional motion may underlie insect behavioral dependence on image speed. Biological Cybernetics. 91: 326-32. PMID 15490223 DOI: 10.1007/S00422-004-0519-X |
0.444 |
|
2004 |
Higgins CM, Pant V. A biomimetic VLSI sensor for visual tracking of small moving targets Ieee Transactions On Circuits and Systems I: Regular Papers. 51: 2384-2394. DOI: 10.1109/Tcsi.2004.836856 |
0.681 |
|
2004 |
Pant V, Higgins CM. A biomimetic VLSI architecture for small target tracking Proceedings - Ieee International Symposium On Circuits and Systems. 3: III5-III8. |
0.515 |
|
2003 |
Ozalevli E, Higgins CM. Multi-chip implementation of a biomimetic VLSI vision sensor based on the Adelson-Bergen algorithm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2714: 433-440. |
0.378 |
|
2002 |
Higgins CM, Shams SA. A biologically inspired modular VLSI system for visual measurement of self-motion Ieee Sensors Journal. 2: 508-528. DOI: 10.1109/Jsen.2002.807304 |
0.463 |
|
2001 |
Higgins CM. Sensory architectures for biologically inspired autonomous robotics. The Biological Bulletin. 200: 235-42. PMID 11341590 DOI: 10.2307/1543322 |
0.322 |
|
2000 |
Higgins CM, Koch C. Modular multi-chip neuromorphic architecture for real-time visual motion processing Analog Integrated Circuits and Signal Processing. 24: 195-211. DOI: 10.1023/A:1008309524326 |
0.52 |
|
1999 |
Higgins CM, Deutschmann RA, Koch C. Pulse-based 2-D motion sensors Ieee Transactions On Circuits and Systems Ii: Analog and Digital Signal Processing. 46: 677-687. DOI: 10.1109/82.769776 |
0.472 |
|
1997 |
Higgins CM, Koch C. Analog CMOS velocity sensors Electronic Imaging. 3019: 104-114. DOI: 10.1117/12.275167 |
0.405 |
|
1997 |
Deutschmarm RA, Higgins CM, Koch C. Real-time analog VLSI sensors for 2-D direction of motion Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1327: 1163-1168. |
0.443 |
|
1994 |
Higgins CM, Goodman RM. Fuzzy Rule-Based Networks for Control Ieee Transactions On Fuzzy Systems. 2: 82-88. DOI: 10.1109/91.273129 |
0.525 |
|
1992 |
Goodman RM, Higgins CM, Miller JW, Smyth P. Rule-Based Neural Networks for Classification and Probability Estimation Neural Computation. 4: 781-804. DOI: 10.1162/Neco.1992.4.6.781 |
0.544 |
|
1991 |
Higgins CM, Goodman RM. Incremental learning with rule-based neural networks Proceedings. Ijcnn-91-Seattle: International Joint Conference On Neural Networks. 875-880. |
0.492 |
|
Show low-probability matches. |