BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

350 related articles for article (PubMed ID: 29875620)

  • 1. Performance Comparison of the Digital Neuromorphic Hardware SpiNNaker and the Neural Network Simulation Software NEST for a Full-Scale Cortical Microcircuit Model.
    van Albada SJ; Rowley AG; Senk J; Hopkins M; Schmidt M; Stokes AB; Lester DR; Diesmann M; Furber SB
    Front Neurosci; 2018; 12():291. PubMed ID: 29875620
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Real-time cortical simulation on neuromorphic hardware.
    Rhodes O; Peres L; Rowley AGD; Gait A; Plana LA; Brenninkmeijer C; Furber SB
    Philos Trans A Math Phys Eng Sci; 2020 Feb; 378(2164):20190160. PubMed ID: 31865885
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Large-Scale Simulations of Plastic Neural Networks on Neuromorphic Hardware.
    Knight JC; Tully PJ; Kaplan BA; Lansner A; Furber SB
    Front Neuroanat; 2016; 10():37. PubMed ID: 27092061
    [TBL] [Abstract][Full Text] [Related]  

  • 5. GPUs Outperform Current HPC and Neuromorphic Solutions in Terms of Speed and Energy When Simulating a Highly-Connected Cortical Model.
    Knight JC; Nowotny T
    Front Neurosci; 2018; 12():941. PubMed ID: 30618570
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Towards a Bio-Inspired Real-Time Neuromorphic Cerebellum.
    Bogdan PA; Marcinnò B; Casellato C; Casali S; Rowley AGD; Hopkins M; Leporati F; D'Angelo E; Rhodes O
    Front Cell Neurosci; 2021; 15():622870. PubMed ID: 34135732
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Neuromorphic Sentiment Analysis Using Spiking Neural Networks.
    Chunduri RK; Perera DG
    Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765758
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Parallelization of Neural Processing on Neuromorphic Hardware.
    Peres L; Rhodes O
    Front Neurosci; 2022; 16():867027. PubMed ID: 35620669
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Spiking Neural Network Model of the Lateral Geniculate Nucleus on the SpiNNaker Machine.
    Sen-Bhattacharya B; Serrano-Gotarredona T; Balassa L; Bhattacharya A; Stokes AB; Rowley A; Sugiarto I; Furber S
    Front Neurosci; 2017; 11():454. PubMed ID: 28848380
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Neuromodulated Synaptic Plasticity on the SpiNNaker Neuromorphic System.
    Mikaitis M; Pineda García G; Knight JC; Furber SB
    Front Neurosci; 2018; 12():105. PubMed ID: 29535600
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST.
    Schmitt FJ; Rostami V; Nawrot MP
    Front Neuroinform; 2023; 17():941696. PubMed ID: 36844916
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Beyond LIF Neurons on Neuromorphic Hardware.
    Ward M; Rhodes O
    Front Neurosci; 2022; 16():881598. PubMed ID: 35864984
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform.
    Patiño-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]  

  • 15. Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer.
    Heittmann A; Psychou G; Trensch G; Cox CE; Wilcke WW; Diesmann M; Noll TG
    Front Neurosci; 2021; 15():728460. PubMed ID: 35126034
    [TBL] [Abstract][Full Text] [Related]  

  • 16. neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time.
    Kauth K; Stadtmann T; Sobhani V; Gemmeke T
    Front Comput Neurosci; 2023; 17():1144143. PubMed ID: 37152299
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A framework for plasticity implementation on the SpiNNaker neural architecture.
    Galluppi F; Lagorce X; Stromatias E; Pfeiffer M; Plana LA; Furber SB; Benosman RB
    Front Neurosci; 2014; 8():429. PubMed ID: 25653580
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Fast Simulation of a Multi-Area Spiking Network Model of Macaque Cortex on an MPI-GPU Cluster.
    Tiddia G; Golosio B; Albers J; Senk J; Simula F; Pronold J; Fanti V; Pastorelli E; Paolucci PS; van Albada SJ
    Front Neuroinform; 2022; 16():883333. PubMed ID: 35859800
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Supercomputers ready for use as discovery machines for neuroscience.
    Helias M; Kunkel S; Masumoto G; Igarashi J; Eppler JM; Ishii S; Fukai T; Morrison A; Diesmann M
    Front Neuroinform; 2012; 6():26. PubMed ID: 23129998
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics.
    Steffen L; Koch R; Ulbrich S; Nitzsche S; Roennau A; Dillmann R
    Front Neurosci; 2021; 15():667011. PubMed ID: 34267622
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.