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 3 - 7 , 2023
BibTex  
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
BibTex  
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
BibTex  
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
BibTex   DOI   PDF     Supplementary Information   Video  
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
BibTex   DOI
Tingkai Liu
Spatio-Temporal Divisive Normalization: Invariance and Change Detection in Biological Systems
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , January 2023
BibTex   DOI

2022


Mehmet Kerem Turkcan
Sensory Processing and Associative Learning in Connectome-Based Neural Circuits
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , October 2022
BibTex   DOI
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
BibTex   DOI
A. A. Lazar, T. Liu, C.-H. Yeh, and Y. Zhou
Odorant Mixture Separation in Drosophila Early Olfactory System
bioRxiv , September 2022
BibTex   DOI
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
BibTex   DOI
A. A. Lazar, T. Liu, and Y. Zhou
Divisive Normalization Circuits Faithfully Represent Auditory and Visual Stimuli
bioRxiv , September 2022
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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
BibTex   DOI
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
BibTex   DOI
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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2021


A. A. Lazar, M. K. Turkcan, and Y. Zhou
A Programmable Ontology Encompassing the Functional Logic of the Drosophila Brain
bioRxiv , December 2021
BibTex   DOI
A. A. Lazar, T. Liu, and C.-H. Yeh
The Functional Logic of Odor Information Processing in the Drosophila Antennal Lobe
bioRxiv , December 2021
BibTex   DOI
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
Interrogating the Functional Logic of Drosophila Brain Circuits at Single-Synapse Scale
Society of Neuroscience , November 8-11 , 2021 , Chicago, IL
BibTex  
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)
BibTex  
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
BibTex   Code  
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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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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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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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
BibTex   Video  
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
BibTex   Video  
A. A. Lazar, T. Liu, M. K. Turkcan, and Y. Zhou
FlyBrainLab: Interactive Computing in the Connectomic/Synaptomic Era
Jupytercon , October 2020
BibTex   Video  
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
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI
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, 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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2019


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 19-24 , 2019 , Chicago, IL
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Chung-Heng Yeh
Mechanistic Models of Neural Computation in the Fruit Fly Brain
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , October 2019
BibTex   DOI
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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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
BibTex   DOI
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
BibTex   Code   DOI
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
BibTex   DOI
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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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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2018


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
BibTex   Code  
Nikul H. Ukani
Sparse Algorithms for Decoding and Identification of Neural Circuits
PhD Thesis, Dept. of Electrical Engineering, Columbia University , October 2018
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI   PDF     Video  
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
BibTex   DOI
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
BibTex  

2017


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
BibTex   PDF     Video  
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
BibTex  
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
BibTex  
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 T. Liu
An Open-Source Model of the Fruit Fly Larval Mushroom Body
Neurobiology of Drosophila , Cold Spring Harbor Laboratory , October 3-7 , 2017
BibTex  
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
BibTex   DOI
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
BibTex   PDF  
L. E. Givon, A. A. Lazar, and C.-H. Yeh
Generating Executable Models of the Drosophila Central Complex
Frontiers in Behavioral Neuroscience , May 2017
BibTex   DOI
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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2016


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
BibTex   DOI   PDF  
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)
BibTex   DOI   Video  
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
BibTex   Code   DOI   PDF  
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
BibTex   DOI
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
BibTex   DOI   PDF  
Lev E. Givon
An Open Pipeline for Generating Executable Neural Circuits from Fruit Fly Brain Data
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , October 2016
BibTex   DOI
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
BibTex   DOI
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
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
BibTex   Code   Supplementary Information
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
BibTex   DOI   PDF     Video  
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
BibTex   DOI   PDF     Video  

2015


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
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
BibTex   DOI   PDF   Neurokernel Documentation
Yiyin Zhou
Massively Parallel Spiking Neural Circuits: Encoding, Decoding and Functional Identification
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , October 2015
BibTex   DOI
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
BibTex   DOI   PDF     Video   Neurokernel Documentation
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
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI   PDF     Supplementary Information   Video  
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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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
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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)
BibTex   DOI   Video  
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
BibTex   DOI   PDF     Supplementary Information
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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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
BibTex   DOI
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
BibTex   DOI
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
BibTex   DOI
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
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
BibTex   DOI   PDF     Supplementary Information
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
BibTex   DOI   PDF   Neurokernel Documentation

2013


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, 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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Yevgeniy B. Slutskiy
Identification of Dendritic Processing in Spiking Neural Circuits
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , October 2013
BibTex   DOI
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
BibTex   DOI
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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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
BibTex   DOI
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
BibTex   DOI
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, 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
BibTex   DOI   PDF     Supplementary Information   Video  

2012


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
BibTex   DOI   PDF     Supplementary Information   Video  
A. A. Lazar and Y. B. Slutskiy
Channel Identification Machines
Journal of Computational Intelligence and Neuroscience , Volume 2012 , pp. 1-20 , July 2012
BibTex   Code   DOI   PDF     Pubmed Central
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
BibTex   DOI   Pubmed Central
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
BibTex   DOI   Pubmed Central
A. A. Lazar and Y. B. Slutskiy
Identifying Dendritic Processing in Drosophila OSNs
Computational and Systems Neuroscience Meeting , February 2012 , Salt Lake City, UT
BibTex  
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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2011


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 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. B. Slutskiy
Identifying Dendritic Processing in a [Filter]-[Hodgkin Huxley] Circuit
Computational Neuroscience Meeting , July 23-28 , 2011 , Stockholm, Sweden
BibTex   DOI   Pubmed Central
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.
BibTex   Code   DOI   PDF  
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
BibTex  
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
BibTex  
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
BibTex   DOI
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
BibTex   DOI

2010


Anmo J. Kim
Information Processing and Representation in the Drosophila Early Olfactory System
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , October 2010
BibTex   PDF  
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. 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 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 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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Eftychios A. Pnevmatikakis
Spikes as Projections: Representation and Processing of Sensory Stimuli in the Time Domain
Ph.D. Thesis, Dept. of Electrical Engineering, Columbia University , February 2010
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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 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. 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. 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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2009


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. 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 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
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 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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2008


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
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, 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 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
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
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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2007


A. A. Lazar
Time Encoding Machines
Neuromorphic Engineering Workshop , July 1-21 , 2007 , Telluride, CO
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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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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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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
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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2006


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 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, 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
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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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
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
Neural Diversity and Ensemble Encoding
Computational and Systems Neuroscience Meeting , March 5-8 , 2006 , Salt Lake City, Utah
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2005


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, 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
A Simple Model of Spike Processing
Computational Neuroscience Meeting , July 17-21 , 2005 , Madison, WI
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Aurel A. Lazar
Multichannel Time Encoding with Integrate-and-Fire Neurons
Neurocomputing , Volume 65-66 , pp. 401-407 , June 2005
Keywords:- time encoding   integrate-and-fire neurons   filter banks   canonical models   perfect recovery
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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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A. A. Lazar
Modeling the Architecture of the Olfactory System
BNET Technical Report #3-05 , May 2005
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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, 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
The Hodgkin-Huxley Neuron as a Neuro-Modulator
Computational and Systems Neuroscience Meeting , March 17-20 , 2005 , Salt Lake City
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2004


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, 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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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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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 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
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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2003


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
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 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
Time Encoding with the Integrate-and-Fire Neuron
Neural Information and Coding Workshop , March 1-4 , 2003 , Snowbird, Utah
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