| Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule M Beyeler, ND Dutt, JL Krichmar Neural Networks 48, 109-124, 2013 | 131 | 2013 |
| CARLsim 4: An open source library for large scale, biologically detailed spiking neural network simulation using heterogeneous clusters TS Chou, HJ Kashyap, J Xing, S Listopad, EL Rounds, M Beyeler, N Dutt, ... 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 87 | 2018 |
| A model of ganglion axon pathways accounts for percepts elicited by retinal implants M Beyeler, D Nanduri, JD Weiland, A Rokem, GM Boynton, I Fine Scientific Reports 9 (1), 1-16, 2019 | 85 | 2019 |
| Learning to see again: biological constraints on cortical plasticity and the implications for sight restoration technologies M Beyeler, A Rokem, GM Boynton, I Fine Journal of Neural Engineering 14 (5), 051003, 2017 | 83 | 2017 |
| Neural correlates of sparse coding and dimensionality reduction M Beyeler, EL Rounds, KD Carlson, N Dutt, JL Krichmar PLoS computational biology 15 (6), e1006908, 2019 | 75* | 2019 |
| CARLsim 3: A user-friendly and highly optimized library for the creation of neurobiologically detailed spiking neural networks M Beyeler, KD Carlson, TS Chou, N Dutt, JL Krichmar 2015 International Joint Conference on Neural Networks (IJCNN), 1-8, 2015 | 57 | 2015 |
| Vision-based robust road lane detection in urban environments M Beyeler, F Mirus, A Verl 2014 IEEE International Conference on Robotics and Automation (ICRA), 4920-4925, 2014 | 50 | 2014 |
| Machine Learning for OpenCV M Beyeler Packt Publishing Ltd, 2017 | 46 | 2017 |
| pulse2percept: A Python-based simulation framework for bionic vision M Beyeler, GM Boynton, I Fine, A Rokem 2017 Scientific Computing with Python (SciPy) Conference, 2017 | 44 | 2017 |
| A GPU-accelerated cortical neural network model for visually guided robot navigation M Beyeler, N Oros, N Dutt, JL Krichmar Neural Networks 72, 75-87, 2015 | 43 | 2015 |
| OpenCV: Computer Vision Projects with Python J Howse, P Joshi, M Beyeler Packt Publishing Ltd, 2016 | 39 | 2016 |
| OpenCV with Python Blueprints M Beyeler Packt Publishing Ltd, 2015 | 31 | 2015 |
| 3D visual response properties of MSTd emerge from an efficient, sparse population code M Beyeler, N Dutt, JL Krichmar Journal of Neuroscience 36 (32), 8399-8415, 2016 | 29 | 2016 |
| Deep Learning–Based Scene Simplification for Bionic Vision N Han, S Srivastava, A Xu, D Klein, M Beyeler AHs'21: Augmented Humans Conference 2021, 45-54, 2021 | 25 | 2021 |
| Efficient spiking neural network model of pattern motion selectivity in visual cortex M Beyeler, M Richert, ND Dutt, JL Krichmar Neuroinformatics 12, 435-454, 2014 | 24 | 2014 |
| Data-driven models in human neuroscience and neuroengineering BW Brunton, M Beyeler Current Opinion in Neurobiology 58, 21-29, 2019 | 23 | 2019 |
| Exploring olfactory sensory networks: simulations and hardware emulation M Beyeler, F Stefanini, H Proske, G Galizia, E Chicca 2010 Biomedical Circuits and Systems Conference (BioCAS), 270-273, 2010 | 17 | 2010 |
| GPGPU accelerated simulation and parameter tuning for neuromorphic applications KD Carlson, M Beyeler, N Dutt, JL Krichmar 2014 19th Asia and South Pacific Design Automation Conference (ASP-DAC), 570-577, 2014 | 15 | 2014 |
| Machine Learning for OpenCV 4 - Second Edition A Sharma, VR Shrimali, M Beyeler Packt Publishing Ltd., 2019 | 9* | 2019 |
| Sparse and efficient neuromorphic population coding M Beyeler, ND Dutt, JL Krichmar US Patent App. 15/417,626, 2017 | 8 | 2017 |
Jeff KrichmarProfessor of Cognitive Sciences, Professor of Computer Science, University of California, IrvineDirección de correo verificada de uci.edu
