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For: Lee C, Panda P, Srinivasan G, Roy K. Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning. Front Neurosci 2018;12:435. [PMID: 30123103 PMCID: PMC6085488 DOI: 10.3389/fnins.2018.00435] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Accepted: 06/11/2018] [Indexed: 12/02/2022]  Open
Number Cited by Other Article(s)
1
Lutes N, Nadendla VSS, Krishnamurthy K. Convolutional spiking neural networks for intent detection based on anticipatory brain potentials using electroencephalogram. Sci Rep 2024;14:8850. [PMID: 38632436 PMCID: PMC11024189 DOI: 10.1038/s41598-024-59469-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 04/11/2024] [Indexed: 04/19/2024]  Open
2
Imani Z, Ezoji M, Masquelier T. Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification. J Comput Neurosci 2023;51:475-490. [PMID: 37721653 DOI: 10.1007/s10827-023-00861-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 07/29/2023] [Accepted: 09/01/2023] [Indexed: 09/19/2023]
3
Bitar A, Rosales R, Paulitsch M. Gradient-based feature-attribution explainability methods for spiking neural networks. Front Neurosci 2023;17:1153999. [PMID: 37829721 PMCID: PMC10565802 DOI: 10.3389/fnins.2023.1153999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 09/01/2023] [Indexed: 10/14/2023]  Open
4
Shen J, Zhao Y, Liu JK, Wang Y. HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023;34:5841-5855. [PMID: 34890341 DOI: 10.1109/tnnls.2021.3131356] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
5
Dong Y, Zhao D, Li Y, Zeng Y. An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Neural Netw 2023;165:799-808. [PMID: 37418862 DOI: 10.1016/j.neunet.2023.06.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 06/14/2023] [Accepted: 06/15/2023] [Indexed: 07/09/2023]
6
Xue X, Wimmer RD, Halassa MM, Chen ZS. Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation. Cognit Comput 2023;15:1167-1189. [PMID: 37771569 PMCID: PMC10530699 DOI: 10.1007/s12559-022-09994-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 01/13/2022] [Indexed: 11/28/2022]
7
Liu J, Wang Y, Luo Y, Zhang S, Jiang D, Hua Y, Qin S, Yang S. Hardware Spiking Neural Networks with Pair-Based STDP Using Stochastic Computing. Neural Process Lett 2023. [DOI: 10.1007/s11063-023-11255-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
8
Research Progress of spiking neural network in image classification: a review. APPL INTELL 2023. [DOI: 10.1007/s10489-023-04553-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/11/2023]
9
Bauer FC, Lenz G, Haghighatshoar S, Sheik S. EXODUS: Stable and efficient training of spiking neural networks. Front Neurosci 2023;17:1110444. [PMID: 36845419 PMCID: PMC9945199 DOI: 10.3389/fnins.2023.1110444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 01/09/2023] [Indexed: 02/10/2023]  Open
10
Tian F, Yang J, Zhao S, Sawan M. NeuroCARE: A generic neuromorphic edge computing framework for healthcare applications. Front Neurosci 2023;17:1093865. [PMID: 36755733 PMCID: PMC9900119 DOI: 10.3389/fnins.2023.1093865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/03/2023] [Indexed: 01/24/2023]  Open
11
Lin X, Zhang Z, Zheng D. Supervised Learning Algorithm Based on Spike Train Inner Product for Deep Spiking Neural Networks. Brain Sci 2023;13:brainsci13020168. [PMID: 36831711 PMCID: PMC9954578 DOI: 10.3390/brainsci13020168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 01/15/2023] [Accepted: 01/16/2023] [Indexed: 01/20/2023]  Open
12
Guo W, Fouda ME, Eltawil AM, Salama KN. Efficient training of spiking neural networks with temporally-truncated local backpropagation through time. Front Neurosci 2023;17:1047008. [PMID: 37090791 PMCID: PMC10117667 DOI: 10.3389/fnins.2023.1047008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 03/20/2023] [Indexed: 04/25/2023]  Open
13
Amiri M, Jafari‬ AH, Makkiabadi B, Nazari S. A Novel Unsupervised Spatial–Temporal Learning Mechanism in a Bio-inspired Spiking Neural Network. Cognit Comput 2022. [DOI: 10.1007/s12559-022-10097-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
14
Garg N, Balafrej I, Stewart TC, Portal JM, Bocquet M, Querlioz D, Drouin D, Rouat J, Beilliard Y, Alibart F. Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential. Front Neurosci 2022;16:983950. [PMID: 36340782 PMCID: PMC9634260 DOI: 10.3389/fnins.2022.983950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 09/05/2022] [Indexed: 11/27/2022]  Open
15
Spike-Based Approximate Backpropagation Algorithm of Brain-Inspired Deep SNN for Sonar Target Classification. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022;2022:1633946. [PMID: 36313052 PMCID: PMC9613403 DOI: 10.1155/2022/1633946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 05/22/2022] [Accepted: 08/08/2022] [Indexed: 11/30/2022]
16
Pallares Di Nunzio M, Montani F. Spike Timing-Dependent Plasticity with Enhanced Long-Term Depression Leads to an Increase of Statistical Complexity. ENTROPY (BASEL, SWITZERLAND) 2022;24:1384. [PMID: 37420407 DOI: 10.3390/e24101384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 07/09/2023]
17
Luo X, Wen X, Zhou M, Abusorrah A, Huang L. Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2022;33:4173-4183. [PMID: 33729951 DOI: 10.1109/tnnls.2021.3055991] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
18
Relaxation LIF: A gradient-based spiking neuron for direct training deep spiking neural networks. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.06.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
19
Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.07.152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
20
Effective Conversion of a Convolutional Neural Network into a Spiking Neural Network for Image Recognition Tasks. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12115749] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
21
Lu S, Sengupta A. Neuroevolution Guided Hybrid Spiking Neural Network Training. Front Neurosci 2022;16:838523. [PMID: 35546880 PMCID: PMC9082355 DOI: 10.3389/fnins.2022.838523] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Accepted: 03/11/2022] [Indexed: 11/16/2022]  Open
22
Kim D, Chakraborty B, She X, Lee E, Kang B, Mukhopadhyay S. MONETA: A Processing-In-Memory-Based Hardware Platform for the Hybrid Convolutional Spiking Neural Network With Online Learning. Front Neurosci 2022;16:775457. [PMID: 35478844 PMCID: PMC9037635 DOI: 10.3389/fnins.2022.775457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 03/07/2022] [Indexed: 11/24/2022]  Open
23
Javanshir A, Nguyen TT, Mahmud MAP, Kouzani AZ. Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks. Neural Comput 2022;34:1289-1328. [PMID: 35534005 DOI: 10.1162/neco_a_01499] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 01/18/2022] [Indexed: 11/04/2022]
24
Yang S, Tan J, Chen B. Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion. ENTROPY 2022;24:e24040455. [PMID: 35455118 PMCID: PMC9031894 DOI: 10.3390/e24040455] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 03/19/2022] [Accepted: 03/23/2022] [Indexed: 02/04/2023]
25
Lian S, Liu Q, Yan R, Pan G, Tang H. Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Neural Comput 2022;34:1170-1188. [PMID: 35231931 DOI: 10.1162/neco_a_01480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 11/14/2021] [Indexed: 11/04/2022]
26
Kwon KC, Baek JH, Hong K, Kim SY, Jang HW. Memristive Devices Based on Two-Dimensional Transition Metal Chalcogenides for Neuromorphic Computing. NANO-MICRO LETTERS 2022;14:58. [PMID: 35122527 PMCID: PMC8818077 DOI: 10.1007/s40820-021-00784-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/03/2021] [Indexed: 05/21/2023]
27
Vaila R, Chiasson J, Saxena V. A Deep Unsupervised Feature Learning Spiking Neural Network With Binarized Classification Layers for the EMNIST Classification. IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2022. [DOI: 10.1109/tetci.2020.3035164] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
28
Mysore N, Hota G, Deiss SR, Pedroni BU, Cauwenberghs G. Hierarchical Network Connectivity and Partitioning for Reconfigurable Large-Scale Neuromorphic Systems. Front Neurosci 2022;15:797654. [PMID: 35173573 PMCID: PMC8842996 DOI: 10.3389/fnins.2021.797654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 12/24/2021] [Indexed: 11/23/2022]  Open
29
Schuman CD, Kulkarni SR, Parsa M, Mitchell JP, Date P, Kay B. Opportunities for neuromorphic computing algorithms and applications. NATURE COMPUTATIONAL SCIENCE 2022;2:10-19. [PMID: 38177712 DOI: 10.1038/s43588-021-00184-y] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 12/07/2021] [Indexed: 01/06/2024]
30
Cheng R, Goteti US, Walker H, Krause KM, Oeding L, Hamilton MC. Toward Learning in Neuromorphic Circuits Based on Quantum Phase Slip Junctions. Front Neurosci 2021;15:765883. [PMID: 34819835 PMCID: PMC8606638 DOI: 10.3389/fnins.2021.765883] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 10/11/2021] [Indexed: 11/13/2022]  Open
31
Liu F, Zhao W, Chen Y, Wang Z, Yang T, Jiang L. SSTDP: Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural Network Training. Front Neurosci 2021;15:756876. [PMID: 34803591 PMCID: PMC8603828 DOI: 10.3389/fnins.2021.756876] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/01/2021] [Indexed: 11/18/2022]  Open
32
Srinivasan G, Roy K. BlocTrain: Block-Wise Conditional Training and Inference for Efficient Spike-Based Deep Learning. Front Neurosci 2021;15:603433. [PMID: 34776834 PMCID: PMC8586528 DOI: 10.3389/fnins.2021.603433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 07/23/2021] [Indexed: 12/04/2022]  Open
33
Niu LY, Wei Y, Long JY, Liu WB. High-Accuracy Spiking Neural Network for Objective Recognition Based on Proportional Attenuating Neuron. Neural Process Lett 2021. [DOI: 10.1007/s11063-021-10669-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
34
Towards understanding the effect of leak in Spiking Neural Networks. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.07.091] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
35
Debat G, Chauhan T, Cottereau BR, Masquelier T, Paindavoine M, Baures R. Event-Based Trajectory Prediction Using Spiking Neural Networks. Front Comput Neurosci 2021;15:658764. [PMID: 34108870 PMCID: PMC8180888 DOI: 10.3389/fncom.2021.658764] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 04/27/2021] [Indexed: 11/13/2022]  Open
36
Syed T, Kakani V, Cui X, Kim H. Exploring Optimized Spiking Neural Network Architectures for Classification Tasks on Embedded Platforms. SENSORS (BASEL, SWITZERLAND) 2021;21:3240. [PMID: 34067080 PMCID: PMC8125750 DOI: 10.3390/s21093240] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/29/2021] [Accepted: 05/02/2021] [Indexed: 11/16/2022]
37
Turkson RE, Qu H, Mawuli CB, Eghan MJ. Classification of Alzheimer’s Disease Using Deep Convolutional Spiking Neural Network. Neural Process Lett 2021. [DOI: 10.1007/s11063-021-10514-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
38
She X, Dash S, Kim D, Mukhopadhyay S. A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns. Front Neurosci 2021;14:615756. [PMID: 33519366 PMCID: PMC7841292 DOI: 10.3389/fnins.2020.615756] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 12/11/2020] [Indexed: 11/19/2022]  Open
39
Michaelis C, Lehr AB, Tetzlaff C. Robust Trajectory Generation for Robotic Control on the Neuromorphic Research Chip Loihi. Front Neurorobot 2020;14:589532. [PMID: 33324191 PMCID: PMC7726255 DOI: 10.3389/fnbot.2020.589532] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 10/28/2020] [Indexed: 11/13/2022]  Open
40
Surrogate-Assisted Evolutionary Search of Spiking Neural Architectures in Liquid State Machines. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.04.079] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
41
Panda P, Aketi SA, Roy K. Toward Scalable, Efficient, and Accurate Deep Spiking Neural Networks With Backward Residual Connections, Stochastic Softmax, and Hybridization. Front Neurosci 2020;14:653. [PMID: 32694977 PMCID: PMC7339963 DOI: 10.3389/fnins.2020.00653] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 05/26/2020] [Indexed: 11/24/2022]  Open
42
Unsupervised bin-wise pre-training: A fusion of information theory and hypergraph. Knowl Based Syst 2020. [DOI: 10.1016/j.knosys.2020.105650] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
43
Lee C, Sarwar SS, Panda P, Srinivasan G, Roy K. Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures. Front Neurosci 2020;14:119. [PMID: 32180697 PMCID: PMC7059737 DOI: 10.3389/fnins.2020.00119] [Citation(s) in RCA: 75] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 01/30/2020] [Indexed: 12/24/2022]  Open
44
Efficient and hardware-friendly methods to implement competitive learning for spiking neural networks. Neural Comput Appl 2020. [DOI: 10.1007/s00521-020-04755-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
45
Towards spike-based machine intelligence with neuromorphic computing. Nature 2019;575:607-617. [PMID: 31776490 DOI: 10.1038/s41586-019-1677-2] [Citation(s) in RCA: 292] [Impact Index Per Article: 58.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 07/09/2019] [Indexed: 11/08/2022]
46
Hao Y, Huang X, Dong M, Xu B. A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule. Neural Netw 2019;121:387-395. [PMID: 31593843 DOI: 10.1016/j.neunet.2019.09.007] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 06/30/2019] [Accepted: 09/06/2019] [Indexed: 01/28/2023]
47
A Spiking Neural Network Based on the Model of VO2—Neuron. ELECTRONICS 2019. [DOI: 10.3390/electronics8101065] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
48
Deng L, Wu Y, Hu X, Liang L, Ding Y, Li G, Zhao G, Li P, Xie Y. Rethinking the performance comparison between SNNS and ANNS. Neural Netw 2019;121:294-307. [PMID: 31586857 DOI: 10.1016/j.neunet.2019.09.005] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 09/04/2019] [Accepted: 09/05/2019] [Indexed: 01/21/2023]
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Ponghiran W, Srinivasan G, Roy K. Reinforcement Learning With Low-Complexity Liquid State Machines. Front Neurosci 2019;13:883. [PMID: 31507361 PMCID: PMC6718696 DOI: 10.3389/fnins.2019.00883] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 08/07/2019] [Indexed: 11/13/2022]  Open
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Locally connected spiking neural networks for unsupervised feature learning. Neural Netw 2019;119:332-340. [PMID: 31499357 DOI: 10.1016/j.neunet.2019.08.016] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 08/08/2019] [Accepted: 08/14/2019] [Indexed: 11/22/2022]
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