| A 1μW voice activity detector using analog feature extraction and digital deep neural network M Yang, CH Yeh, Y Zhou, JP Cerqueira, AA Lazar, M Seok 2018 IEEE International Solid-State Circuits Conference-(ISSCC), 346-348, 2018 | 78 | 2018 |
| Design of an Always-On Deep Neural Network-Based 1- W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction M Yang, CH Yeh, Y Zhou, JP Cerqueira, AA Lazar, M Seok IEEE Journal of Solid-State Circuits 54 (6), 1764-1777, 2019 | 77 | 2019 |
| Encoding and decoding machine with recurrent neural networks AA Lazar, Y Zhou US Patent 8,874,496, 2014 | 58 | 2014 |
| Encoding natural scenes with neural circuits with random thresholds AA Lazar, EA Pnevmatikakis, Y Zhou Vision research 50 (22), 2200-2212, 2010 | 39 | 2010 |
| Reconstructing natural visual scenes from spike times A Lazar, Y Zhou Proceedings of the IEEE 102 (10), 1500-1519, 2014 | 16 | 2014 |
| Accelerating with FlyBrainLab the discovery of the functional logic of the Drosophila brain in the connectomic and synaptomic era AA Lazar, T Liu, MK Turkcan, Y Zhou Elife 10, e62362, 2021 | 14 | 2021 |
| The Fruit Fly Brain Observatory: From Structure to Function NH Ukani, CH Yeh, A Tomkins, Y Zhou, D Florescu, C Luna Ortiz, ... bioRxiv, 580290, 2019 | 14 | 2019 |
| The Fruit Fly Brain Observatory: from structure to function NH Ukani, CH Yeh, A Tomkins, Y Zhou, D Florescu, CL Ortiz, YC Huang, ... Computational and Systems Neuroscience Meeting, 2017 | 14 | 2017 |
| Sparse identification of contrast gain control in the fruit fly photoreceptor and amacrine cell layer AA Lazar, NH Ukani, Y Zhou The Journal of Mathematical Neuroscience 10 (1), 1-35, 2020 | 13 | 2020 |
| Massively parallel neural encoding and decoding of visual stimuli AA Lazar, Y Zhou Neural Networks, 2012 | 10 | 2012 |
| A Parallel Processing Model of the Drosophila Retina AA Lazar, K Psychas, NH Ukani, Y Zhou Neurokernel RFC, Neurokernel RFC #3, 2015 | 9 | 2015 |
| Massively parallel neural circuits for stereoscopic color vision: Encoding, decoding and identification AA Lazar, YB Slutskiy, Y Zhou Neural Networks 63, 254-271, 2015 | 9 | 2015 |
| Volterra Dendritic Stimulus Processing and Biophysical Spike Generators with Intrinsic Noise Sources AA Lazar, Y Zhou Frontiers in Computational Neuroscience 8 (95), 2014 | 8 | 2014 |
| The power of connectivity: Identity preserving transformations on visual streams in the spike domain AA Lazar, EA Pnevmatikakis, Y Zhou Neural Networks 44, 22-35, 2013 | 6 | 2013 |
| A motion detection algorithm using local phase information AA Lazar, NH Ukani, Y Zhou Computational intelligence and neuroscience 2016, 40-40, 2016 | 5 | 2016 |
| Neural circuit abstractions in the fruit fly brain AA Lazar, W Li, NH Ukani, CH Yeh, Y Zhou Society for Neuroscience Abstracts, 2013 | 5 | 2013 |
| Sparse functional identification of complex cells from spike times and the decoding of visual stimuli AA Lazar, NH Ukani, Y Zhou The Journal of Mathematical Neuroscience 8 (1), 1-40, 2018 | 4 | 2018 |
| NeuroNLP: a natural language portal for aggregated fruit fly brain data NH Ukani, A Tomkins, CH Yeh, W Bruning, AL Fenichel, Y Zhou, ... BMC Neuroscience 18 (Suppl 1), P216, 2017 | 4 | 2017 |
| Systems and Methods for Time Encoding and Decoding Machines AA Lazar, YB Slutskiy, Y Zhou US Patent App. 14/216,255, 2014 | 4 | 2014 |
| A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain AA Lazar, MK Turkcan, Y Zhou Frontiers in neuroinformatics 16, 2022 | 2 | 2022 |
