Journal Articles by A.a. Lazar


A. A. Lazar
Information Representation with an Ensemble of Hodgkin-Huxley Neurons
Neurocomputing , Volume 70 , pp. 1764-1771 , June 2007
Keywords:- information representation   ensemble encoding   hodgkin–huxley neuron   i/o equivalence   stimulus recovery
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A. A. Lazar
Time Encoding with an Integrate-and-Fire Neuron with a Refractory Period
Neurocomputing , Volume 58-60 , pp. 53-58 , June 2004
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A. A. Lazar
Population Encoding with Hodgkin-Huxley Neurons
IEEE Transactions on Information Theory , Volume 56 , Number 2 , pp. 821-837 , February 2010 , Special Issue on Molecular Biology and Neuroscience
Keywords:- hodgkin–huxley neurons   input–output (i/o) equivalence   neural encoding   population encoding   reproducing kernel hilbert spaces   splines   stimulus reconstruction   time encoding   time decoding
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A. A. Lazar
A Simple Model of Spike Processing
Neurocomputing , Volume 69 , pp. 1081-1085 , June 2006
Keywords:- time decoding machines   neurohardware realizations   linear operators
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A. A. Lazar
Time Encoding Machines with Multiplicative Coupling, Feedforward and Feedback
IEEE Transactions on Circuits and Systems-II: Express Briefs , Volume 53 , Number 8 , pp. 672-676 , August 2006
Keywords:- time encoding   time change   perfect signal recovery   feedforward   feedback.
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L. E. Givon and A. A. Lazar
Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain
PLOS ONE , Volume 11, e0146581 , January 2016
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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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A. A. Lazar and C.-H. Yeh
A Molecular Odorant Transduction Model and the Complexity of Spatio-Temporal Encoding in the Drosophila Antenna
PLOS Computational Biology , Volume 16 , Number 4 , April 2020
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A. A. Lazar and C.-H. Yeh
A Parallel Processing Model of Drosophila Olfactory Sensory Neurons and Its Biological Validation
bioRxiv (available at https://www.biorxiv.org/content/10.1101/237669v1) , December 2017
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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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A. A. Lazar and E. A. Pnevmatikakis
Faithful Representation of Stimuli with a Population of Integrate-and-Fire Neurons
Neural Computation , Volume 20 , Number 11 , The MIT Press , pp. 2715-2744 , November 2008
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A. A. Lazar and E. A. Pnevmatikakis
Reconstruction of Sensory Stimuli Encoded with Integrate-and-Fire Neurons with Random Thresholds
EURASIP Journal on Advances in Signal Processing , Volume 2009 , 2009 , Special Issue on Statistical Signal Processing in Neuroscience
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A. A. Lazar and E. A. Pnevmatikakis
Consistent Recovery of Sensory Stimuli Encoded with MIMO Neural Circuits
Computational Intelligence and Neuroscience , Hindawi Publishing Corporation , February 2010 , Article ID 469658, Special Issue on Signal Processing for Neural Spike Trains
Keywords:- sensory stimuli   time encoding   mimo   mimo neural circuits   stimulus reconstruction
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A. A. Lazar and E. A. Pnevmatikakis
Video Time Encoding Machines
IEEE Transactions on Neural Networks , Volume 22 , Number 3 , pp. 461-473 , March 2011
Keywords:- faithful representation   neural circuit architectures   spiking neurons   time encoding   visual receptive fields.
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A. A. Lazar and L. T. Toth
Perfect Recovery and Sensitivity Analysis of Time Encoded Bandlimited Signals
IEEE Transactions on Circuits and Systems-I: Regular Papers , Volume 51 , Number 10 , pp. 2060-2073 , October 2004
Keywords:- time encoding   integrate   fire neurons   frames   time decoding
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A. A. Lazar and Y. B. Slutskiy
Channel Identification Machines
Journal of Computational Intelligence and Neuroscience , Volume 2012 , pp. 1-20 , July 2012
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A. A. Lazar and Y. B. Slutskiy
Functional Identification of Spike-Processing Neural Circuits
Neural Computation , Volume 26 , Number 2 , MIT Press , pp. 264-305 , February 2014
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A. A. Lazar and Y. B. Slutskiy
Spiking Neural Circuits with Dendritic Stimulus Processors: Encoding, Decoding, and Identification in Reproducing Kernel Hilbert Spaces
Journal of Computational Neuroscience , Volume 38 , Number 1 , pp. 1-24 , February 2015
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A. A. Lazar and Y. B. Slutskiy
Channel Identification Machines for Multidimensional Receptive Fields
Frontiers in Computational Neuroscience , Volume 8 , Number 117 , September 2014
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A. A. Lazar and Y. Zhou
Massively Parallel Neural Encoding and Decoding of Visual Stimuli
Neural Networks , Volume 32 , pp. 303-312 , August 2012 , Special Issue: IJCNN 2011
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A. A. Lazar and Y. Zhou
Reconstructing Natural Visual Scenes from Spike Times
Proceedings of the IEEE , Volume 102 , Number 10 , pp. 1500-1519 , October 2014 , (invited paper)
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A. A. Lazar and Y. Zhou
Volterra Dendritic Stimulus Processors and Biophysical Spike Generators with Intrinsic Noise Sources
Frontiers in Computational Neuroscience , Volume 8 , Number 95 , pp. 1-24 , September 2014
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A. A. Lazar and Y. Zhou
Identifying Multisensory Dendritic Stimulus Processors
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications , Volume 2 , Number 2 , pp. 183-198 , December 2016 , Special Issue on Biological Applications of Information Theory in Honor of Claude Shannon's Centennial, Part II (invited paper)
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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
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L. E. Givon, A. A. Lazar, and C.-H. Yeh
Generating Executable Models of the Drosophila Central Complex
Frontiers in Behavioral Neuroscience , May 2017
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A. G. Dimitrov, A. A. Lazar, and J. D. Victor
Information Theory in Neuroscience
Journal of Computational Neuroscience , Volume 30 , Number 1 , pp. 1-5 , February 2011 , Special Issue on Methods of Information Theory
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O. T. Shafer, G. J. Gutierrez, K. Li, A. Mildenhall, D. Spira, J. Marty, A. A. Lazar, and M. P. Fernandez
Connectomic Analysis of the Drosophila Lateral Neuron Clock Cells Reveals the Synaptic Basis of Functional Pacemaker Classes
eLife , July 2022
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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
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A. J. Kim, A. A. Lazar, and Y. B. Slutskiy
System Identification of Drosophila Olfactory Sensory Neurons
Journal of Computational Neuroscience , Volume 30 , Number 1 , Springer , pp. 143-161 , February 2011 , Special Issue on Methods of Information Theory
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A. J. Kim, A. A. Lazar, and Y. B. Slutskiy
Projection Neurons in Drosophila Antennal Lobes Signal the Acceleration of Odor Concentrations
eLife 2015;10.7554/eLife.06651 , June 2015
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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 , pp. 22-35 , 2013
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A. A. Lazar, E. A. Pnevmatikakis, and Y. Zhou
Encoding Natural Scenes with Neural Circuits with Random Thresholds
Vision Research , Volume 50 , Number 22 , pp. 2200-2212 , October 2010 , Special Issue on Mathematical Models of Visual Coding
Keywords:- neural encoding of natural scenes   receptive fields   neural circuits with random thresholds   reconstruction of visual stimuli   reproducing kernel hilbert spaces   regularization.
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A. A. Lazar, E. K. Simonyi, and L. T. Toth
An Overcomplete Stitching Algorithm for Time Decoding Machines
IEEE Transactions on Circuits and Systems-I: Regular Papers , Volume 55 , Number 9 , pp. 2619-2630 , October 2008
Keywords:- asynchronous communications   frames   irregular sampling   real-time stitching algorithms   time decoding machines (tdms)   time encoding machines (tems).
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A. A. Lazar, M. K. Turkcan, and Y. Zhou
A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain
Frontiers in Neuroinformatics , June 2022
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A. A. Lazar, M. K. Turkcan, and Y. Zhou
A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain
bioRxiv , December 2021
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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
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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
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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 , Volume 10 , Number 3 , Springer Open , February 2020
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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 , Number 2 , pp. 1-40 , January 2018
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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
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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
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N. Anerousis, P. Chemouil, A. A. Lazar, N. Mihai, and S. B. Weinstein
The Origin and Evolution of Open Programmable Networks and SDN
IEEE Communications Surveys and Tutorials , Volume 23 , Number 3 , February 2021
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A. G. Dimitrov, F. Fekri, A. A. Lazar, S. M. Moser, and P. J. Thomas
Guest Editorial: Biological Applications of Information Theory in Honor of Claude Shannon's Centennial, Part II
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications , Volume 2 , Number 2 , pp. 117-119 , December 2016
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A. G. Dimitrov, F. Fekri, A. A. Lazar, S. M. Moser, and P. J. Thomas
Guest Editorial: Biological Applications of Information Theory in Honor of Claude Shannon's Centennial, Part I
IEEE Transactions on Molecular, Biological, and Multi-Scale Communications , Volume 2 , Number 1 , pp. 1-4 , June 2016
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A. A. Lazar, T. Liu, and C.-H. Yeh
The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe
bioRxiv , December 2021
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A. A. Lazar, T. Liu, and C.-H. Yeh
The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe
PLOS Computational Biology , Volume 19 , Number 4 , April 2023
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A. A. Lazar, T. Liu, and Y. Zhou
Divisive Normalization Circuits Faithfully Represent Auditory and Visual Stimuli
bioRxiv , September 2022
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A. A. Lazar, T. Liu, C.-H. Yeh, and Y. Zhou
Modeling and Characterization of Pure and Odorant Mixture Processing in the Drosophila Mushroom Body Calyx
Frontiers in Physiology: Invertebrate Physiology , Volume 15 , October 2024
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A. A. Lazar, T. Liu, C.-H. Yeh, and Y. Zhou
Odorant Mixture Separation in Drosophila Early Olfactory System
bioRxiv , September 2022
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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
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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
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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 , pp. 254-271 , March 2015
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Conference Papers


M. K. Turkcan, T. Liu, C.-H. Yeh, Y. Zhou, and A. A. Lazar
FlyBrainLab: An Interactive Computing Environment for the Fruit Fly Brain
Society of Neuroscience , October 19-24 , 2019 , Chicago, IL
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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 , March 17-22 , 2022 , Lisbon, Portugal
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A. A. Lazar and E. A. Pnevmatikakis
Encoding of Multivariate Stimuli with MIMO Neural Circuits
Proceedings of the ISIT 2011 , IEEE , July 31 - August 5 , 2011 , Saint Petersburg, Russia
Keywords:- time encoding   spiking neurons   mimo sampling   video encoding   compressed sensing.
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A. A. Lazar and E. A. Pnevmatikakis
A Video Time Encoding Machine
IEEE International Conference on Image Processing , pp. 717-720 , October 12-15 , 2008 , San Diego, CA
Keywords:- time encoding   video coding   integrateand-fire neurons   frames   gabor wavelets
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A. A. Lazar and E. A. Pnevmatikakis
Consistent Recovery of Stimuli Encoded with a Neural Ensemble
Proceedings of the ICASSP 2009 , pp. 3497-3500 , April 19-24 , 2009 , Taipeh, Taiwan
Keywords:- time encoding   spiking neurons   consistent recovery.
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A. A. Lazar and L. T. Toth
Sensitivity Analysis of Time Encoded Bandlimited Signals
IEEE International Conference on Acoustics, Speech and Signal Processing , Volume 2 , pp. 901-904 , May 17-21 , 2004 , Montreal
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A. A. Lazar and L. T. Toth
Time Encoding and Perfect Recovery of Bandlimited Signals
IEEE International Conference on Acoustics, Speech and Signal Processing , Volume 6 , pp. 709-712 , April 6-10 , 2003 , Hong Kong, China
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A. A. Lazar and Y. B. Slutskiy
Identifying Dendritic Processing
Advances in Neural Information Processing Systems 23 , J. Lafferty and C. K. I. Williams and J. Shawe-Taylor and R.S. Zemel and A. Culotta , pp. 1261-1269 , 2010 , spotlight presentation
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A. A. Lazar and Y. B. Slutskiy
Multisensory Encoding, Decoding, and Identification
Advances in Neural Information Processing Systems 26 , C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani and K.Q. Weinberger , pp. 3208-3216 , December 2013 , Lake Tahoe, Nevada, United States
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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 31 - August 5 , 2011 , San Jose, CA
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A. A. Lazar and Y. Zhou
Beyond the Connectome: Divisive Normalization Processors in the Drosophila Early Olfactory and Vision Systems
Computational Neuroscience Meeting, CNS*24 , July 20 - 24 , 2024 , Natal, Brazil
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M. Seok, M. Yang, Z. Jiang, A. A. Lazar, and J. 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
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P. R. Kinget, A. A. Lazar, and L. T. Toth
On the Robustness of the VLSI Implementation of a Time Encoding Machine
IEEE International Symposium on Circuits and Systems , May 23-26 , 2005 , Kobe
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D. Wang, S. J. Kim, M. Yang, A. A. Lazar, and M. Seok
A Background-Noise- and Process-Variation-Tolerant 109-nW Acoustic Feature Extractor based on Spike-Domain Divisive Energy Normalization for an Always-on Keyword Spotting Device
2021 IEEE International Solid-State Circuits Conference (ISSCC) , pp. 160-162 , February 2021 , San Francisco, CA, USA
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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) , pp. 346-348 , February 11-15 , 2018 , San Francisco, CA
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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 3 - 7 , 2023
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B. Y. Bu, A. A. Lazar, and Y. Zhou
End-to-End Modeling of the Drosophila Early Vision System with Cascading Divisive Normalization Processors
Neuroscience 2024 , Society for Neuroscience , October 5 - 9 , 2024 , Chicago, IL
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A. A. Lazar, E. K. Simonyi, and L. T. Toth
A Real-Time Algorithm for Time Decoding Machines
14th European Signal Processing Conference , September 4-8 , 2006 , Florence, Italy
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A. A. Lazar, E. K. Simonyi, and L. T. Toth
A Toeplitz Formulation of a Real-Time Algorithm for Time Decoding Machines
Proceedings of the Conference on Telecommunication Systems, Modeling and Analysis , November 17-20 , 2005 , Dallas, TX
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A. A. Lazar, E. K. Simonyi, and L. T. Toth
Fast Recovery Algorithms of Time Encoded Bandlimited Signals
IEEE International Conference on Acoustics, Speech and Signal Processing , Volume 4 , pp. 237-240 , March 19-23 , 2005 , Philadelphia, PA
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A. A. Lazar, E. K. Simonyi, and L. T. Toth
Time Encoding of Bandlimited Signals, An Overview
Proceedings of the Conference on Telecommunication Systems, Modeling and Analysis , November 17-20 , 2005 , Dallas, TX
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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 8-11 , 2021 , Chicago, IL
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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 , July 2020
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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 8-11 , 2021 , Chicago, IL
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A. A. Lazar, M. K. Turkcan, and Y. Zhou
NeuroNLP Gene Match—An Open Source Genetic Data Visualizer and Explorer
Neurobiology of Drosophila , October 5-8 , 2021 , (virtual meeting)
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A. A. Lazar, S. Shukla, and Y. Zhou
Modeling Small Object Detection of Drosophila Lobula Circuits with Divisive Normalization Processors
Neuroscience 2024 , Society for Neuroscience , October 5 - 9 , 2024 , Chicago, IL
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B. Y. Bu, P. I. Deevi, A. A. Lazar, S. Shukla, and Y. Zhou
DrosoGPT: a Natural Language Querying Interface for Exploring the Structure and Functional Logic of the Drosophila Brain
Neuroscience 2024 , Society of Neuroscience , October 5 - 9 , 2024 , Chicago, IL
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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 3 - 7 , 2023
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A. A. Lazar, T. Liu, and C.-H. Yeh
The Geometry of Spatio-Temporal Odorant Mixture Encoding in the Drosophila Mushroom Body
BMC Neuroscience 2020, 21(Suppl 1):P218 , July 2020
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A. A. Lazar, T. Liu, and C.-H. Yeh
An Odorant Encoding Machine for Sampling, Reconstruction and Robust Representation of Odorant Identity
ICASSP 2020 , pp. 1743-1747 , May 4-8 , 2020 , Barcelona , Spain
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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 , July 2020
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A. A. Lazar, T. Liu, C.-H. Yeh, and Y. Zhou
Divisive Normalization Processing Underlies Odorant Mixture Representation in the Mushroom Body Calyx
Neuroscience 2024 , Society of Neuroscience , October 5 - 9 , 2024 , Chicago, IL
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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 3 - 7 , 2023
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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
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A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou
FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era
Jupytercon , October 2020
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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
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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 , July 2020
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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
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A. A. Lazar, T. Roska, E. K. Simonyi, and L. T. Toth
A Time Decoding Realization with a CNN
7th Seminar on Neural Networks Applications in Electrical Engineering, Neurel 2004 , pp. 97-102 , September 23-25 , 2004 , Belgrade
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Technical Reports


A. A. Lazar
Time Encoding Using Filter Banks and Integrate and-Fire Neurons
BNET Technical Report #2-03 , September 2003
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A. A. Lazar
A Simple Model of Spike Processing
BNET Technical Report #2-05 , April 2005
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A. A. Lazar
Modeling the Architecture of the Olfactory System
BNET Technical Report #3-05 , May 2005
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C. Kaldy, A. A. Lazar, E. K. Simonyi, and L. T. Toth
Time Encoded Communications for Human Area Network Biomonitoring
BNET Technical Report #2-0 , June 2007
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Book Chapters


A. J. Kim and A. A. Lazar
Recovery of Stimuli Encoded with a Hodgkin-Huxley Neuron Using Conditional PRCs
Phase Response Curves in Neuroscience , Volume 6 , Springer , pp. 257-277 , 2012
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Abstracts


A. A. Lazar
Time Encoding with an Integrate-and-Fire Neuron with a Refractory Period
The Computational Neuroscience Meeting , July 5-9 , 2003 , Alicante, Spain
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A. A. Lazar
The Hodgkin-Huxley Neuron as a Neuro-Modulator
Computational and Systems Neuroscience Meeting , March 17-20 , 2005 , Salt Lake City
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A. A. Lazar
Time Encoding with Filter Banks and Integrate-and-Fire Neurons
The Computational Neuroscience Meeting , July 18-20 , 2004 , Baltimore, MD.
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L. E. Givon and A. A. Lazar
An Open Architecture for the Massively Parallel Emulation of the Drosophila Brain on Multiple GPUs
Computational Neuroscience Meeting , July 21-24 , 2012 , Atlanta/Decatur, GA
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A. A. Lazar
Information Representation with an Ensemble of Hodgkin-Huxley Neurons
Computational Neuroscience Meeting , July 16-20 , 2006 , Edinburgh, U.K.
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A. A. Lazar
Time Encoding with the Integrate-and-Fire Neuron
Neural Information and Coding Workshop , March 1-4 , 2003 , Snowbird, Utah
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A. J. Kim and A. A. Lazar
Recovery of Stimuli Encoded with a Hodgkin-Huxley Neuron Using Conditional PRCs
Computational Neuroscience Meeting , July 18-23 , 2009 , Berlin, Germany
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A. A. Lazar
Recovery of Stimuli Encoded with Hodgkin-Huxley Neurons
Computational and Systems Neuroscience Meeting , February 22-25 , 2007 , Salt Lake City, UT
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A. A. Lazar
Recovery of Stimuli Encoded with Spiking Neuron Models
Conference on Engineering Principles in Biological Systems , December 3-6 , 2006 , Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
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A. A. Lazar
Spatio-Temporal Models for Time Encoding and Stimulus Recovery
Computational and Systems Neuroscience Meeting , March 24-28 , 2004 , Cold Spring Harbor Laboratory, NY
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A. A. Lazar
A Simple Model of Spike Processing
Computational Neuroscience Meeting , July 17-21 , 2005 , Madison, WI
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A. A. Lazar
Neural Diversity and Ensemble Encoding
Computational and Systems Neuroscience Meeting , March 5-8 , 2006 , Salt Lake City, Utah
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L. E. Givon and A. A. Lazar
Neurokernel: An Open Architecture for the Massively Parallel Emulation of Drosophila Brain Models on Multiple GPUs
Workshop on Insect Vision: Cells, Computation, and Behavior , March 3-6 , 2013 , HHMI Janelia Farm, Ashburn, VA
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A. A. Lazar
Time Encoding Machines
Neuromorphic Engineering Workshop , July 1-21 , 2007 , Telluride, CO
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A. A. Lazar
The t-Transform and its Inverse in Neural Encoding and Decoding
Workshop on Neural Coding: Beyond Shannon , July 3-4 , 2013 , Prague, Czech Republic
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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, 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 , Salt Lake City, UT
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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 , Salt Lake City, UT
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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 , Volume 18 (Suppl 1):60 , BMC Neuroscience 2017 , July 2017 , University of Antwerp, Antwerp, Belgium
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T. Liu, C.-H. Yeh, and A. A. Lazar
Time-Dependent Simultaneous Configural and Elemental Odorant Mixture Processing
COSYNE*2020 , February 2020 , Denver , CO
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A. A. Lazar and C.-H. Yeh
An Open-Source Model of the Early Olfactory System of the Fruit Fly and Its I/O Characterization
Society for Neuroscience Abstracts , November 11-15 , 2017 , Washington, DC
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A. A. Lazar and C.-H. Yeh
Functional Identification of an Antennal Lobe DM4 Projection Neuron of the Fruit Fly
Computational Neuroscience Meeting , Volume 15 , July 2014 , Québec City , Canada
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A. A. Lazar and C.-H. 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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A. A. Lazar and C.-H. Yeh
A Molecular Odorant Transduction Model and Combinatorial Encoding in the Drosophila Antennae
BMC Neuroscience 2018, 19(Suppl 2):F3 , 27th Computational Neuroscience Meeting (featured oral presentation) , July 13-18 , 2018 , Seattle, WA
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A. A. Lazar and E. A. Pnevmatikakis
Encoding, Processing and Decoding of Sensory Stimuli with a Spiking Neural Population
AREADNE 2008, Research in Encoding and Decoding of Neural Ensembles , June 26-29 , 2008 , Santorini, Greece
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A. A. Lazar and E. A. Pnevmatikakis
Invariant Representations of Visual Streams in the Spike Domain
Bernstein Conference in Computational Neuroscience , September 30 - October 2 , 2009 , Frankfurt am Main, Germany
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A. A. Lazar and E. A. Pnevmatikakis
A Stochastic Model of Olfactory Transduction
Conference on Engineering Principles in Biological Systems , December 3-6 , 2006 , Cold Spring Harbor Laboratory, Cold Spring Harbor, NY
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A. A. Lazar and E. A. Pnevmatikakis
A Simple Spiking Retina Model for Exact Video Stimulus Representation
The Computational Neuroscience Meeting , July 19-24 , 2008 , Portland, Oregon
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A. A. Lazar and E. A. Pnevmatikakis
Reconstruction and Classification of Stimuli Encoded with Neural Circuits with Feedback
Computational Neuroscience Meeting , July 18-23 , 2009 , Berlin, Germany
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A. A. Lazar and E. A. Pnevmatikakis
Multi Input Multi Output Neural Population Encoding
The Computational Neuroscience Meeting , July 8-10 , 2007 , Toronto, Canada , featured talk
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A. A. Lazar and E. A. Pnevmatikakis
Faithful Representation of Video Streams with a Population of Spiking Neurons
Computational and Systems Neuroscience Meeting , February 28 - March 2 , 2008 , Salt Lake City, UT
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A. A. Lazar and R. J. Turetsky
Encoding Auditory Scenes with a Population of Hodgkin-Huxley Neurons
Computational Neuroscience Meeting , July 24-30 , 2010 , San Antonio, TX
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A. A. Lazar and T. Liu
An Open-Source Model of the Fruit Fly Larval Mushroom Body
Neurobiology of Drosophila , Cold Spring Harbor Laboratory , October 3-7 , 2017
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A. A. Lazar and Y. B. Slutskiy
Identifying Dendritic Processing in Drosophila OSNs
Computational and Systems Neuroscience Meeting , February 2012 , Salt Lake City, UT
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A. A. Lazar and Y. B. Slutskiy
Identifying Dendritic Processing in a [Filter]-[Hodgkin Huxley] Circuit
Computational Neuroscience Meeting , July 23-28 , 2011 , Stockholm, Sweden
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A. A. Lazar and Y. B. Slutskiy
Estimating Receptive Fields and Spike-Processing Neural Circuits in Drosophila
Computational Neuroscience Meeting , July 21-24 , 2012 , Atlanta/Decatur, GA , oral presentation
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A. A. Lazar and Y. B. Slutskiy
Identification of Nonlinear-Nonlinear Neuron Models and Stimulus Decoding
Computational Neuroscience Meeting , July 13-18 , 2013 , Paris, France
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A. A. Lazar and Y. Zhou
Encoding Visual Stimuli with a Population of Hodgkin-Huxley Neurons
Computational Neuroscience Meeting , July 24-30 , 2010 , San Antonio, TX
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D. S. Chevitarese, L. E. Givon, A. A. Lazar, and M. Vellasco
CircuitML: a Modular Language for Modeling Local Processing Units in the Drosophila Brain
Front. Neuroinform. Conference Abstract: Neuroinformatics 2013 , August 27 - 29 , 2013 , Stockholm, Sweden
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L. E. Givon, A. A. Lazar, and N. H. Ukani
Neuroarch: A Graph-Based Platform for Constructing and Querying Models of the Fruit Fly Brain Architecture
Frontiers in Neuroinformatics , Number 42 , August 2014 , Leiden, The Netherlands
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A. J. Kim, A. A. Lazar, and Y. B. Slutskiy
Drosophila Projection Neurons Encode the Acceleration of Time-Varying Odor Waveforms
Computational and Systems Neuroscience Meeting , February 2011 , Salt Lake City, UT , oral presentation
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A. J. Kim, A. A. Lazar, and Y. B. Slutskiy
Investigating Odor Identity Encoding in Drosophila OSNs
Computational and Systems Neuroscience Meeting , February 2011 , Salt Lake City, UT
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A. J. Kim, A. A. Lazar, and Y. Slutskiy
2D Encoding of Concentration and Concentration Gradient in Drosophila ORNs
Computational and Systems Neuroscience Meeting , February 2010 , Salt Lake City, UT
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A. J. Kim, A. A. Lazar, and Y. Slutskiy
System Identification of the DM4 Glomerulus in the Drosophila Antennal Lobe
Computational Neuroscience Meeting , July 24-30 , 2010 , San Antonio, TX
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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) , pp. 301 , July 2015
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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
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A. A. Lazar, N. H. Ukani, and Y. Zhou
Modeling Contrast Gain Control of Fly Photoreceptors
27th Computational Neuroscience Meeting , July 13-18 , 2018 , Seattle, WA
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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) , pp. 300 , July 2015
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A. A. Lazar, N. H. Ukani, and Y. Zhou
A General Model for Divisive Normalization and its Identification
Society for Neuroscience Abstracts , November 11-15 , 2017 , Washington, DC
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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 , Number 24 , August 2014 , Leiden, The Netherlands
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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 11-15 , 2017 , Washington, DC
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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 , 13-17 July , 2019 , Barcelona, Spain
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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 9-13 , 2013 , San Diego, California
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A. A. Lazar, Y. B. Slutskiy, and Y. Zhou
Functional Identification and Evaluation of Massively Parallel Neural Circuits
Computational Neuroscience Meeting , July 13-18 , 2013 , Paris, France
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Request for Comments


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
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L. E. Givon and A. A. Lazar
Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs
Neurokernel Request for Comments, Neurokernel RFC #1 , February 2014
BibTex   DOI   PDF   Neurokernel Documentation
L. E. Givon and A. A. Lazar
Generating an Executable Model of the Drosophila Central Complex
Neurokernel Request for Comments, Neurokernel RFC #6 , May 2016
BibTex   DOI   PDF   Neurokernel Documentation
L. E. Givon and A. A. Lazar
Neurokernel: An Open Source Platform for Emulating the Fruit Fly Brain
Neurokernel Request for Comments, Neurokernel RFC #4 , October 2015
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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, 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
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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
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L. E. Givon, A. A. Lazar, and N. H. Ukani
NeuroArch: A Graph dB for Querying and Executing Fruit Fly Brain Circuits
Neurokernel Request for Comments, Neurokernel RFC #5 , December 2015
BibTex   DOI   PDF   Neurokernel Documentation
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
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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
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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
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Source Code


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
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