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1
Training Spiking Neural Networks Using Lessons From Deep Learning
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Training Spiking Neural Networks Using Lessons From Deep Learning

Proceedings of the IEEE, 2023-09, Vol.111 (9), p.1016-1054 [Peer Reviewed Journal]

ISSN: 0018-9219 ;EISSN: 1558-2256 ;DOI: 10.1109/JPROC.2023.3308088 ;CODEN: IEEPAD

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2
Ev-ReconNet: Visual Place Recognition using Event Camera with Spiking Neural Networks
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Ev-ReconNet: Visual Place Recognition using Event Camera with Spiking Neural Networks

IEEE sensors journal, 2023-09, p.1-1 [Peer Reviewed Journal]

ISSN: 1530-437X ;EISSN: 1558-1748 ;DOI: 10.1109/JSEN.2023.3298828 ;CODEN: ISJEAZ

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3
Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks
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Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks

Frontiers in neuroscience, 2020-05, Vol.14, p.439-439 [Peer Reviewed Journal]

Copyright © 2020 Kugele, Pfeil, Pfeiffer and Chicca. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2020 Kugele, Pfeil, Pfeiffer and Chicca. 2020 Kugele, Pfeil, Pfeiffer and Chicca ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2020.00439 ;PMID: 32431592

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4
Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems
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Neural Coding in Spiking Neural Networks: A Comparative Study for Robust Neuromorphic Systems

Frontiers in neuroscience, 2021-03, Vol.15, p.638474-638474 [Peer Reviewed Journal]

Copyright © 2021 Guo, Fouda, Eltawil and Salama. ;2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2021 Guo, Fouda, Eltawil and Salama. 2021 Guo, Fouda, Eltawil and Salama ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2021.638474 ;PMID: 33746705

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5
A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks
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A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks

Neural processing letters, 2021-12, Vol.53 (6), p.4693-4710 [Peer Reviewed Journal]

The Author(s) 2021 ;ISSN: 1370-4621 ;EISSN: 1573-773X ;DOI: 10.1007/s11063-021-10562-2

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6
First-Spike-Based Visual Categorization Using Reward-Modulated STDP
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First-Spike-Based Visual Categorization Using Reward-Modulated STDP

IEEE transaction on neural networks and learning systems, 2018-12, Vol.29 (12), p.6178-6190

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/tnnls.2018.2826721

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7
Editorial: Artificial Neural Networks as Models of Neural Information Processing
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Editorial: Artificial Neural Networks as Models of Neural Information Processing

Frontiers in computational neuroscience, 2017-12, Vol.11, p.114-114 [Peer Reviewed Journal]

2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2017 van Gerven and Bohte. 2017 van Gerven and Bohte ;ISSN: 1662-5188 ;EISSN: 1662-5188 ;DOI: 10.3389/fncom.2017.00114 ;PMID: 29311884

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8
Demonstrating Advantages of Neuromorphic Computation: A Pilot Study
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Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

Frontiers in neuroscience, 2019-03, Vol.13, p.260-260 [Peer Reviewed Journal]

2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2019 Wunderlich, Kungl, Müller, Hartel, Stradmann, Aamir, Grübl, Heimbrecht, Schreiber, Stöckel, Pehle, Billaudelle, Kiene, Mauch, Schemmel, Meier and Petrovici. 2019 Wunderlich, Kungl, Müller, Hartel, Stradmann, Aamir, Grübl, Heimbrecht, Schreiber, Stöckel, Pehle, Billaudelle, Kiene, Mauch, Schemmel, Meier and Petrovici ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2019.00260 ;PMID: 30971881

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9
SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron
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SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron

Frontiers in neuroscience, 2019-07, Vol.13, p.625-625 [Peer Reviewed Journal]

2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;Copyright © 2019 Mozafari, Ganjtabesh, Nowzari-Dalini and Masquelier. 2019 Mozafari, Ganjtabesh, Nowzari-Dalini and Masquelier ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2019.00625 ;PMID: 31354403

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10
Simple framework for constructing functional spiking recurrent neural networks
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Simple framework for constructing functional spiking recurrent neural networks

Proceedings of the National Academy of Sciences - PNAS, 2019-11, Vol.116 (45), p.22811-22820 [Peer Reviewed Journal]

Copyright National Academy of Sciences Nov 5, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1905926116 ;PMID: 31636215

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11
Spiking Neural Networks and Their Applications: A Review
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Spiking Neural Networks and Their Applications: A Review

Brain sciences, 2022-06, Vol.12 (7), p.863 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 2076-3425 ;EISSN: 2076-3425 ;DOI: 10.3390/brainsci12070863 ;PMID: 35884670

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12
Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator
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Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

IEEE transactions on very large scale integration (VLSI) systems, 2014-12, Vol.22 (12), p.2621-2628 [Peer Reviewed Journal]

ISSN: 1063-8210 ;EISSN: 1557-9999 ;DOI: 10.1109/TVLSI.2013.2294916 ;CODEN: IEVSE9

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13
STDP and STDP variations with memristors for spiking neuromorphic learning systems
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STDP and STDP variations with memristors for spiking neuromorphic learning systems

Frontiers in neuroscience, 2013-01, Vol.7, p.2-2 [Peer Reviewed Journal]

2013. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;Copyright © 2013 Serrano-Gotarredona, Masquelier, Prodromakis, Indiveri and Linares-Barranco. 2013 ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2013.00002 ;PMID: 23423540

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14
Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure
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Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure

Frontiers in neuroinformatics, 2022-05, Vol.16, p.884180-884180 [Peer Reviewed Journal]

Copyright © 2022 Feldotto, Eppler, Jimenez-Romero, Bignamini, Gutierrez, Albanese, Retamino, Vorobev, Zolfaghari, Upton, Sun, Yamaura, Heidarinejad, Klijn, Morrison, Cruz, McMurtrie, Knoll, Igarashi, Yamazaki, Doya and Morin. ;2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2022 Feldotto, Eppler, Jimenez-Romero, Bignamini, Gutierrez, Albanese, Retamino, Vorobev, Zolfaghari, Upton, Sun, Yamaura, Heidarinejad, Klijn, Morrison, Cruz, McMurtrie, Knoll, Igarashi, Yamazaki, Doya and Morin. 2022 Feldotto, Eppler, Jimenez-Romero, Bignamini, Gutierrez, Albanese, Retamino, Vorobev, Zolfaghari, Upton, Sun, Yamaura, Heidarinejad, Klijn, Morrison, Cruz, McMurtrie, Knoll, Igarashi, Yamazaki, Doya and Morin ;ISSN: 1662-5196 ;EISSN: 1662-5196 ;DOI: 10.3389/fninf.2022.884180 ;PMID: 35662903

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15
Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition
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Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition

Frontiers in neuroscience, 2020-03, Vol.14, p.199-199 [Peer Reviewed Journal]

Copyright © 2020 Wu, Yılmaz, Zhang, Li and Tan. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2020 Wu, Yılmaz, Zhang, Li and Tan. 2020 Wu, Yılmaz, Zhang, Li and Tan ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2020.00199 ;PMID: 32256308

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16
Spatial Properties of STDP in a Self-Learning Spiking Neural Network Enable Controlling a Mobile Robot
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Spatial Properties of STDP in a Self-Learning Spiking Neural Network Enable Controlling a Mobile Robot

Frontiers in neuroscience, 2020-02, Vol.14, p.88-88 [Peer Reviewed Journal]

Copyright © 2020 Lobov, Mikhaylov, Shamshin, Makarov and Kazantsev. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2020 Lobov, Mikhaylov, Shamshin, Makarov and Kazantsev. 2020 Lobov, Mikhaylov, Shamshin, Makarov and Kazantsev ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2020.00088 ;PMID: 32174804

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17
An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data
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An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data

Frontiers in neuroscience, 2017-06, Vol.11, p.350-350 [Peer Reviewed Journal]

2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;Copyright © 2017 Stromatias, Soto, Serrano-Gotarredona and Linares-Barranco. 2017 Stromatias, Soto, Serrano-Gotarredona and Linares-Barranco ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2017.00350 ;PMID: 28701911

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18
Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations
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Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations

Materials, 2019-08, Vol.12 (17), p.2745 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2019 by the authors. 2019 ;ISSN: 1996-1944 ;EISSN: 1996-1944 ;DOI: 10.3390/ma12172745 ;PMID: 31461877

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19
GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model
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GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model

Frontiers in neuroscience, 2018-12, Vol.12, p.941-941 [Peer Reviewed Journal]

2018. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2018 Knight and Nowotny. 2018 Knight and Nowotny ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2018.00941 ;PMID: 30618570

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20
Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines

Frontiers in neuroscience, 2016-06, Vol.10, p.241-241 [Peer Reviewed Journal]

2016. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2016 Neftci, Pedroni, Joshi, Al-Shedivat and Cauwenberghs. 2016 Neftci, Pedroni, Joshi, Al-Shedivat and Cauwenberghs ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2016.00241 ;PMID: 27445650

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