These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
3. Solving Constraint Satisfaction Problems with Networks of Spiking Neurons. Jonke Z; Habenschuss S; Maass W Front Neurosci; 2016; 10():118. PubMed ID: 27065785 [TBL] [Abstract][Full Text] [Related]
4. Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform. PatiƱo-Saucedo A; Rostro-Gonzalez H; Serrano-Gotarredona T; Linares-Barranco B Neural Netw; 2020 Jan; 121():319-328. PubMed ID: 31590013 [TBL] [Abstract][Full Text] [Related]
5. A Swarm Optimization Solver Based on Ferroelectric Spiking Neural Networks. Fang Y; Wang Z; Gomez J; Datta S; Khan AI; Raychowdhury A Front Neurosci; 2019; 13():855. PubMed ID: 31456659 [TBL] [Abstract][Full Text] [Related]
6. Synapse-Centric Mapping of Cortical Models to the SpiNNaker Neuromorphic Architecture. Knight JC; Furber SB Front Neurosci; 2016; 10():420. PubMed ID: 27683540 [TBL] [Abstract][Full Text] [Related]
7. Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. Abderrahmane N; Lemaire E; Miramond B Neural Netw; 2020 Jan; 121():366-386. PubMed ID: 31593842 [TBL] [Abstract][Full Text] [Related]
8. sPyNNaker: A Software Package for Running PyNN Simulations on SpiNNaker. Rhodes O; Bogdan PA; Brenninkmeijer C; Davidson S; Fellows D; Gait A; Lester DR; Mikaitis M; Plana LA; Rowley AGD; Stokes AB; Furber SB Front Neurosci; 2018; 12():816. PubMed ID: 30524220 [TBL] [Abstract][Full Text] [Related]
9. A forecast-based STDP rule suitable for neuromorphic implementation. Davies S; Galluppi F; Rast AD; Furber SB Neural Netw; 2012 Aug; 32():3-14. PubMed ID: 22386500 [TBL] [Abstract][Full Text] [Related]
10. On-Chip Training Spiking Neural Networks Using Approximated Backpropagation With Analog Synaptic Devices. Kwon D; Lim S; Bae JH; Lee ST; Kim H; Seo YT; Oh S; Kim J; Yeom K; Park BG; Lee JH Front Neurosci; 2020; 14():423. PubMed ID: 32733180 [TBL] [Abstract][Full Text] [Related]
12. Parallelization of Neural Processing on Neuromorphic Hardware. Peres L; Rhodes O Front Neurosci; 2022; 16():867027. PubMed ID: 35620669 [TBL] [Abstract][Full Text] [Related]
13. E-prop on SpiNNaker 2: Exploring online learning in spiking RNNs on neuromorphic hardware. Rostami A; Vogginger B; Yan Y; Mayr CG Front Neurosci; 2022; 16():1018006. PubMed ID: 36518534 [TBL] [Abstract][Full Text] [Related]
14. Exploiting noise as a resource for computation and learning in spiking neural networks. Ma G; Yan R; Tang H Patterns (N Y); 2023 Oct; 4(10):100831. PubMed ID: 37876899 [TBL] [Abstract][Full Text] [Related]
16. Applying aspiration in local search for satisfiability. Peng C; Xu Z; Mei M PLoS One; 2020; 15(4):e0231702. PubMed ID: 32324765 [TBL] [Abstract][Full Text] [Related]
17. An efficient automated parameter tuning framework for spiking neural networks. Carlson KD; Nageswaran JM; Dutt N; Krichmar JL Front Neurosci; 2014; 8():10. PubMed ID: 24550771 [TBL] [Abstract][Full Text] [Related]
18. Beyond LIF Neurons on Neuromorphic Hardware. Ward M; Rhodes O Front Neurosci; 2022; 16():881598. PubMed ID: 35864984 [TBL] [Abstract][Full Text] [Related]
19. FPGA implementation of a stochastic neural network for monotonic pseudo-Boolean optimization. Grossi G; Pedersini F Neural Netw; 2008 Aug; 21(6):872-9. PubMed ID: 18684590 [TBL] [Abstract][Full Text] [Related]
20. A spiking neural network model of 3D perception for event-based neuromorphic stereo vision systems. Osswald M; Ieng SH; Benosman R; Indiveri G Sci Rep; 2017 Jan; 7():40703. PubMed ID: 28079187 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]