| Decrystallization of adult birdsong by perturbation of auditory feedback A Leonardo, M Konishi Nature 399 (6735), 466-470, 1999 | 442 | 1999 |
| Large-scale, high-density (up to 512 channels) recording of local circuits in behaving animals A Berényi, Z Somogyvári, AJ Nagy, L Roux, JD Long, S Fujisawa, E Stark, ... Journal of neurophysiology 111 (5), 1132-1149, 2014 | 356 | 2014 |
| Internal models direct dragonfly interception steering M Mischiati, HT Lin, P Herold, E Imler, R Olberg, A Leonardo Nature 517 (7534), 333-338, 2015 | 314 | 2015 |
| Theta sequences are essential for internally generated hippocampal firing fields Y Wang, S Romani, B Lustig, A Leonardo, E Pastalkova Nature neuroscience 18 (2), 282-288, 2015 | 310 | 2015 |
| Ensemble coding of vocal control in birdsong A Leonardo, MS Fee Journal of Neuroscience 25 (3), 652-661, 2005 | 266 | 2005 |
| A spike-timing mechanism for action selection CR Von Reyn, P Breads, MY Peek, GZ Zheng, WR Williamson, AL Yee, ... Nature neuroscience 17 (7), 962-970, 2014 | 252 | 2014 |
| CaMeRa: A computational model of multiple representations HJM Tabachneck-Schijf, AM Leonardo, HA Simon Cognitive science 21 (3), 305-350, 1997 | 229 | 1997 |
| Miniature motorized microdrive and commutator system for chronic neural recording in small animals MS Fee, A Leonardo Journal of neuroscience methods 112 (2), 83-94, 2001 | 225 | 2001 |
| A battery-free multichannel digital neural/EMG telemetry system for flying insects SJ Thomas, RR Harrison, A Leonardo, MS Reynolds IEEE transactions on biomedical circuits and systems 6 (5), 424-436, 2012 | 141 | 2012 |
| Experimental test of the birdsong error-correction model A Leonardo Proceedings of the National Academy of Sciences 101 (48), 16935-16940, 2004 | 128 | 2004 |
| How does an expert use a graph? A model of visual and verbal inferencing in economics HJM Tabachneck, AM Leonardo, HA Simon Proceedings of the Sixteenth Annual conference of the Cognitive Science …, 2019 | 117 | 2019 |
| Wireless neural/EMG telemetry systems for small freely moving animals RR Harrison, H Fotowat, R Chan, RJ Kier, R Olberg, A Leonardo, ... IEEE transactions on biomedical circuits and systems 5 (2), 103-111, 2011 | 103 | 2011 |
| Degenerate coding in neural systems A Leonardo Journal of Comparative Physiology A 191, 995-1010, 2005 | 61 | 2005 |
| Heuristic rules underlying dragonfly prey selection and interception HT Lin, A Leonardo Current Biology 27 (8), 1124-1137, 2017 | 52 | 2017 |
| The role of motion extrapolation in amphibian prey capture BG Borghuis, A Leonardo Journal of Neuroscience 35 (46), 15430-15441, 2015 | 52 | 2015 |
| Nonlinear dynamics support a linear population code in a retinal target-tracking circuit A Leonardo, M Meister Journal of Neuroscience 33 (43), 16971-16982, 2013 | 41 | 2013 |
| A wireless neural/EMG telemetry system for freely moving insects RR Harrison, RJ Kier, A Leonardo, H Fotowat, R Chan, F Gabbiani Proceedings of 2010 IEEE International Symposium on Circuits and Systems …, 2010 | 33 | 2010 |
| Reconstruction of sparse circuits using multi-neuronal excitation (RESCUME) T Hu, A Leonardo, D Chklovskii Advances in Neural Information Processing Systems 22, 2009 | 33 | 2009 |
| Recovery mechanisms in the dragonfly righting reflex ZJ Wang, J Melfi Jr, A Leonardo Science 376 (6594), 754-758, 2022 | 16 | 2022 |
| Neural dynamics underlying complex behavior in a songbird A Leonardo California Institute of Technology, 2002 | 13 | 2002 |
Michale S FeeProfessor of Neuroscience, Massachusetts Institute of Technology (MIT)Verified email at mit.edu
