A. A. Lazar, E. A. Pnevmatikakis, and Y. Zhou. The Power of Connectivity: Identity Preserving Transformations on Visual Streams in the Spike Domain. Neural Networks, volume 44, pages 22-35, 2013.

A. A. Lazar and Y. Zhou. Encoding Visual Stimuli with a Population of Hodgkin-Huxley Neurons. Computational Neuroscience Meeting, July 2010.

A. A. Lazar and Y. Zhou. Realizing Video Time Decoding Machines with Recurrent Neural Networks. Proceedings of the International Joint Conference on Neural Networks, July 2011.

A. A. Lazar and Y. Zhou. Massively Parallel Neural Encoding and Decoding of Visual Stimuli. Neural Networks, volume 32, pages 303-312, August 2012.

A. A. Lazar, E. A. Pnevmatikakis, and Y. Zhou. Encoding Natural Scenes with Neural Circuits with Random Thresholds. Vision Research, volume 50, issue 22, pages 2200-2212, October 2010.

A. A. Lazar, Y. B. Slutskiy, and Y. Zhou. Functional Identification and Evaluation of Massively Parallel Neural Circuits. Computational Neuroscience Meeting, July 2013.

A. A. Lazar, W. Li, N. H. Ukani, C.-H. Yeh, and Y. Zhou. Neural Circuit Abstractions in the Fruit Fly Brain. Society for Neuroscience Abstracts, November 2013.

A. A. Lazar, N. H. Ukani, and Y. Zhou. The Cartridge: A Canonical Neural Circuit Abstraction of the Lamina Neuropil -- Construction and Composition Rules. Neurokernel Request for Comments, Neurokernel RFC #2, January 2014.

A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou. FlyBrainLab: A Complete Programming Environment for Discovering the Functional Logic of the Fruit Fly Brain. Neuroinformatics Assembly 2021, April 2021.

A. A. Lazar, N. H. Ukani, C.-H. Yeh, and Y. Zhou. A Parallel Programming Model of Local Processing Units in the Fruit Fly Brain. Frontiers in Neuroinformatics, issue 24, August 2014.

A. A. Lazar, N. H. Ukani, and Y. Zhou. Modeling Contrast Gain Control of Fly Photoreceptors. 27th Computational Neuroscience Meeting, 2018.

A. A. Lazar, N. H. Ukani, and Y. Zhou. Functional Identification of Complex Cells from Spike Times and the Decoding of Visual Stimuli. BMC Neuroscience, volume 16 (Suppl 1), pages 300, July 2015.

A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou. FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era. Jupytercon, October 2020.

A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou. FlyBrainLab: An Interactive Computing Platform for Exploring the Drosophila Brain. PyData Global, November 2020.

A. A. Lazar, N. H. Ukani, and Y. Zhou. Sparse Identification of Contrast Gain Control in the Fruit Fly Photoreceptor and Amacrine Cell Layer. The Journal of Mathematical Neuroscience, Springer Open, volume 10, issue 3, February 2020.

A. A. Lazar, M. K. Turkcan, and Y. Zhou. Interrogating the Functional Logic of Drosophila Brain Circuits at Single-Synapse Scale. Society of Neuroscience, November 2021.

A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou. FlyBrainLab: Accelerating the Discovery of the Functional Logic of the Fruit Fly Brain in the Connectomic/Synaptomic Era. bioRxiv, June 2020.

A. A. Lazar, K. Psychas, N. H. Ukani, and Y. Zhou. Retina of the Fruit Fly Eyes: A Detailed Simulation Model. BMC Neuroscience, volume 16 (Suppl 1), pages 301, July 2015.

A. A. Lazar, K. Psychas, N. H. Ukani, and Y. Zhou. A Parallel Processing Model of the Drosophila Retina. Neurokernel Request for Comments, Neurokernel RFC #3, August 2015.

A. A. Lazar, N. H. Ukani, and Y. Zhou. Sparse Functional Identification of Complex Cells from Spike Times and the Decoding of Visual Stimuli. The Journal of Mathematical Neuroscience, volume 8, issue 2, pages 1-40, January 2018.

A. A. Lazar, M. K. Turkcan, and Y. Zhou. Generating Executable Mushroom Body and Lateral Horn Circuits from the Hemibrain Dataset with FlyBrainLab. BMC Neuroscience 2020, 21(Suppl 1):P105, CNS*2020, July 2020.

A. A. Lazar and Y. Zhou. Reconstructing Natural Visual Scenes from Spike Times. Proceedings of the IEEE, volume 102, issue 10, pages 1500-1519, October 2014.

L. E. Givon, A. A. Lazar, K. Psychas, N. H. Ukani, C.-H. Yeh, and Y. Zhou. Neurokernel: Building an in Silico Fruit Fly Brain. IEEE EMBS BRAIN Grand Challenges Conference, IEEE, November 2014.

A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou. Comparing Drosophila Neural Circuit Models with FlyBrainLab. BMC Neuroscience 2020, 21(Suppl 1):P112, CNS*2020, July 2020.

A. A. Lazar, Y. B. Slutskiy, and Y. Zhou. Massively Parallel Neural Circuits for Stereoscopic Color Vision: Encoding, Decoding and Identification. Neural Networks, volume 63, pages 254-271, March 2015.

A. A. Lazar, N. H. Ukani, and Y. Zhou. A General Model for Divisive Normalization and its Identification. Society for Neuroscience Abstracts, November 2017.

A. A. Lazar, N. H. Ukani, and Y. Zhou. Sparse Functional Identification of Complex Cells from Spike Times and the Decoding of Visual Stimuli. Neurons and Cognition, arXiv.org, June 2017.

A. A. Lazar, T. Liu, and Y. Zhou. Divisive Normalization Circuits Faithfully Represent Visual, Olfactory and Auditory Stimuli. BMC Neuroscience 2019, 20 (Suppl 1): P353, 28th Annual Computational Neuroscience Meeting, 2019.

A. A. Lazar, N. H. Ukani, C.-H. Yeh, and Y. Zhou. NeuroGFX: A Graphical Functional Explorer for Fruit Fly Brain Circuits. Society for Neuroscience Abstracts, November 2017.

A. A. Lazar, N. H. Ukani, and Y. Zhou. Sparse Identification of Contrast Gain Control in the Fruit Fly Photoreceptor and Amacrine Cell Layer. Neurons and Cognition, arXiv, October 2019.

A. A. Lazar, M. K. Turkcan, and Y. Zhou. Untangling the Graph Structure of Drosophila Brain Datasets with Open Source FlyBrainLab Utility Libraries. Society of Neuroscience, November 2021.

A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou. Accelerating with FlyBrainLab the Discovery of the Functional Logic of the Drosophila Brain in the Connectomic and Synaptomic Era. eLife, February 2021.

A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou. Comparative Study of Fruit Fly Brain Circuit Models with FlyBrainLab. neuromatch 3.0, October 2020.

A. A. Lazar and Y. Zhou. Volterra Dendritic Stimulus Processors and Biophysical Spike Generators with Intrinsic Noise Sources. Frontiers in Computational Neuroscience, volume 8, issue 95, pages 1-24, September 2014.

A. A. Lazar and Y. Zhou. Identifying Multisensory Dendritic Stimulus Processors. IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, volume 2, issue 2, pages 183-198, December 2016.

A. A. Lazar, T. Liu, and Y. Zhou. Functional Identification of the Odorant Transduction Process of Drosophila Olfactory Sensory Neurons. BMC Neuroscience 2020, 21(Suppl 1):P225, CNS*2020, July 2020.

A. A. Lazar, M. K. Turkcan, and Y. Zhou. NeuroNLP Gene Match—An Open Source Genetic Data Visualizer and Explorer. Neurobiology of Drosophila, October 2021.

A. A. Lazar, N. H. Ukani, and Y. Zhou. A Motion Detection Algorithm Using Local Phase Information. Computational Intelligence and Neuroscience, volume 2016, Article ID 7915245, January 2016.

B. Y. Bu, A. A. Lazar, and Y. Zhou. Evaluating with Natural Scenes the End-to-End Motion Detection of the Drosophila Early Visual System. Neurobiology of Drosophila, Cold Spring Harbor Laboratory, October 2023.

A. A. Lazar, T. Liu, C.-H. Yeh, and Y. Zhou. Odorant Mixture Separation in the Drosophila Mushroom Body Calyx. Neurobiology of Drosophila, Cold Spring Harbor Laboratory, October 2023.

A. A. Lazar, S. Shukla, and Y. Zhou. Generating Wiring Diagrams of Local Processing Units of the Drosophila Central Complex. Neurobiology of Drosophila, Cold Spring Harbor Laboratory, October 2023.

A. A. Lazar, T. Liu, and Y. Zhou. Divisive Normalization Circuits Faithfully Represent Auditory and Visual Stimuli. bioRxiv, September 2022.

A. A. Lazar, M. K. Turkcan, and Y. Zhou. A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain. Frontiers in Neuroinformatics, Neuroinformatics of Large Scale Brain Modelling, June 2022.

A. A. Lazar, M. K. Turkcan, and Y. Zhou. A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain. bioRxiv, December 2021.

A. A. Lazar and Y. Zhou. Divisive Normalization Processors in the Early Visual System of the Drosophila Brain. Biological Cybernetics, Springer, Special Issue: What can Computer Vision learn from Visual Neuroscience?, September 2023.

A. A. Lazar, M. K. Turkcan, and Y. Zhou. A Programmable Model for Exploring the Functional Logic of the Drosophila Mushroom Body. bioRxiv, September 2022.

A. A. Lazar, T. Liu, C.-H. Yeh, and Y. Zhou. Odorant Mixture Separation in Drosophila Early Olfactory System. bioRxiv, September 2022.

A. A. Lazar, M. K. Turkcan, and Y. Zhou. A Programmable Model for Exploring the Functional Logic of the Drosophila Antennal Lobe. bioRxiv, September 2022.

M. K. Turkcan, Y. Zhou, and A. A. Lazar. A Circuit Library for Exploring the Functional Logic of Massive Feedback Loops in Drosophila Brain. COSYNE 2022, 2022.

M. K. Turkcan, T. Liu, C.-H. Yeh, Y. Zhou, and Aurel A. Lazar. FlyBrainLab: An Interactive Computing Environment for the Fruit Fly Brain. Society of Neuroscience, October 2019.

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.

N. H. Ukani, C.-H. Yeh, A. Tomkins, Y. Zhou, D. Florescu, C. L. Ortiz, Y.-C. Huang, C.-T. Wang, P. Richmond, C.-C. Lo, D. Coca, A.-S. Chiang, and A. A. Lazar. The Fruit Fly Brain Observatory: from Structure to Function. Computational and Systems Neuroscience Meeting, February 2017.

N. H. Ukani, C.-H. Yeh, A. Tomkins, Y. Zhou, D. Florescu, C. L. Ortiz, Y.-C. Huang, C.-T. Wang, P. Richmond, C.-C. Lo, D. Coca, A.-S. Chiang, and A. A. Lazar. The Fruit Fly Brain Observatory: from Structure to Function. Neurokernel Request for Comments, Neurokernel RFC #7, December 2016.

M. Yang, C.-H. Yeh, Y. Zhou, J. P. Cerqueira, A. A. Lazar, and M. Seok. A 1μW Voice Activity Detector Using Analog Feature Extraction and Digital Deep Neural Network. 2018 IEEE International Solid-State Circuits Conference (ISSCC), pages 346-348, February 2018.

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, IEEE, volume 54, issue 6, pages 1764-1777, June 2019.

Y. Zhou, K. Psychas, N. H. Ukani, and A. A. Lazar. Visualizing Parallel Information Processing in the Fruit Fly Retina. Computational and Systems Neuroscience Meeting, February 2016.

N. H. Ukani, C.-H. Yeh, A. Tomkins, Y. Zhou, M. K. Turkcan, T. Liu, J. Marty, D. Florescu, C. L. Ortiz, Y.-C. Huang, C.-T. Wang, P. Richmond, C.-C. Lo, D. Coca, A.-S. Chiang, and A. A. Lazar. Fruit Fly Brain Observatory Source Code, Installation and Launching. Github, October 2018.

C.-H. Yeh, Y. Zhou, N. H. Ukani, and A. A. Lazar. NeuroGFX: a Graphical Functional Explorer for Fruit Fly Brain Circuits. Neurokernel Request for Comments, Neurokernel RFC #9, December 2016.

N. H. Ukani, A. Tomkins, C.-H. Yeh, W. Bruning, A. L. Fenichel, Y. Zhou, Y.-C. Huang, D. Florescu, C. L. Ortiz, P. Richmond, C.-C. Lo, D. Coca, A.-S. Chiang, and A. A. Lazar. NeuroNLP: a Natural Language Portal for Aggregated Fruit Fly Brain Data. Neurokernel Request for Comments, Neurokernel RFC #8, December 2016.

N. H. Ukani, A. Tomkins, C.-H. Yeh, W. Bruning, A. L. Fenichel, Y. Zhou, Y.-C. Huang, D. Florescu, C. L. Ortiz, P. Richmond, C.-C. Lo, D. Coca, A.-S. Chiang, and A. A. Lazar. NeuroNLP: A Natural Language Portal for Aggregated Fruit Fly Brain Data. Computational Neuroscience Meeting, BMC  Neuroscience  2017, volume 18 (Suppl 1):60, July 2017.