Mehmet K. Turkcan, Tingkai Liu, Chung-Heng Yeh, Yiyin Zhou, and Aurel A. Lazar
FlyBrainLab: An Interactive Computing Environment for the Fruit Fly Brain
Society of Neuroscience , October 19-24 , 2019 , Chicago, IL
Chung-Heng Yeh
Mechanistic Models of Neural Computation in the Fruit Fly Brain
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , October 2019
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Aurel A. Lazar, Nikul H. Ukani, and Yiyin Zhou
Sparse Identification of Contrast Gain Control in the Fruit Fly Photoreceptor and Amacrine Cell Layer
Neurons and Cognition, arXiv , October 2019
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M. Yang, C.-H. Yeh, Y. Zhou, J. P. Cerqueira, A. A. Lazar, and M. Seok
Design of an Always-On Deep Neural Network Based 1 μW Voice Activity Detector Aided with a Customized Software Model for Analog Feature Extraction
IEEE Journal of Solid-State Circuits , Volume 54 , Number 6 , IEEE , pp. 1764-1777 , June 2019
BibTex   DOI
A. A. Lazar and C.-H. Yeh
A Molecular Odorant Transduction Model and the Complexity of Combinatorial Encoding in the Drosophila Antenna
bioRxiv (the first version, published on bioRxiv in December 2017, is available at https://www.biorxiv.org/content/10.1101/237669v1) , Volume 647107 , May 2019
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N. H. Ukani, C.-H. Yeh, A. Tomkins, Y. Zhou, D. Florescu, C. L. Ortiz, Y.-C. Huang, C.-T. Wang, M. K. Turkcan, T. Liu, P. Richmond, C.-C. Lo, D. Coca, A.-S. Chiang, and A. A. Lazar
The Fruit Fly Brain Observatory: From Structure to Function
bioRxiv , Volume 580290 , March 2019
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Aurel A. Lazar, Tingkai Liu, and Yiyin Zhou
Divisive Normalization Circuits Faithfully Represent Visual, Olfactory and Auditory Stimuli
BMC Neuroscience 2019, 20 (Suppl 1): P353 , 28th Annual Computational Neuroscience Meeting , 13-17 July , 2019 , Barcelona, Spain
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Aurel A. Lazar and Chung-Heng Yeh
Predictive Coding in the Drosophila Antennal Lobe
BMC Neuroscience 2019, 20 (Suppl 1): P346 , 28th Annual Computational Neuroscience Meeting , July 13-17 , 2019 , Barcelona, Spain
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Mingoo Seok, Minhao Yang, Zhewei Jiang, Aurel. A. Lazar, and Jae-sun Seo
Cases for Analog-Mixed-Signal Computing Integrated-Circuits for Deep Neural Networks
International Symposium on VLSI Design, Automation, and Test (VLSI-DAT) , April 22-25 , 2019 , Hsinchu, Taiwan