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Johannes Schemmel - Publications

Affiliations: 
Department of Physics Ruprecht-Karls-University Heidelberg, Heidelberg, Baden-Württemberg, Germany 
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44 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Pehle C, Billaudelle S, Cramer B, Kaiser J, Schreiber K, Stradmann Y, Weis J, Leibfried A, Müller E, Schemmel J. The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity. Frontiers in Neuroscience. 16: 795876. PMID 35281488 DOI: 10.3389/fnins.2022.795876  0.362
2021 Billaudelle S, Cramer B, Petrovici MA, Schreiber K, Kappel D, Schemmel J, Meier K. Structural plasticity on an accelerated analog neuromorphic hardware system. Neural Networks : the Official Journal of the International Neural Network Society. 133: 11-20. PMID 33091719 DOI: 10.1016/j.neunet.2020.09.024  0.525
2020 Cramer B, Stradmann Y, Schemmel J, Zenke F. The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. Ieee Transactions On Neural Networks and Learning Systems. PMID 33378266 DOI: 10.1109/TNNLS.2020.3044364  0.303
2020 Cramer B, Stöckel D, Kreft M, Wibral M, Schemmel J, Meier K, Priesemann V. Control of criticality and computation in spiking neuromorphic networks with plasticity. Nature Communications. 11: 2853. PMID 32503982 DOI: 10.1038/S41467-020-16548-3  0.517
2020 Schreiber K, Wunderlich TC, Pehle C, Petrovici MA, Schemmel J, Meier K. Closed-loop experiments on the BrainScaleS-2 architecture Arxiv: Neurons and Cognition. DOI: 10.1145/3381755.3381776  0.502
2020 Grübl A, Billaudelle S, Cramer B, Karasenko V, Schemmel J. Verification and Design Methods for the BrainScaleS Neuromorphic Hardware System Journal of Signal Processing Systems. 1-16. DOI: 10.1007/S11265-020-01558-7  0.383
2019 Kungl AF, Schmitt S, Klähn J, Müller P, Baumbach A, Dold D, Kugele A, Müller E, Koke C, Kleider M, Mauch C, Breitwieser O, Leng L, Gürtler N, Güttler M, ... ... Schemmel J, et al. Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks. Frontiers in Neuroscience. 13: 1201. PMID 31798400 DOI: 10.3389/Fnins.2019.01201  0.596
2019 Jordan J, Petrovici MA, Breitwieser O, Schemmel J, Meier K, Diesmann M, Tetzlaff T. Deterministic networks for probabilistic computing. Scientific Reports. 9: 18303. PMID 31797943 DOI: 10.1038/S41598-019-54137-7  0.514
2019 Dold D, Bytschok I, Kungl AF, Baumbach A, Breitwieser O, Senn W, Schemmel J, Meier K, Petrovici MA. Stochasticity from function - Why the Bayesian brain may need no noise. Neural Networks : the Official Journal of the International Neural Network Society. 119: 200-213. PMID 31450073 DOI: 10.1016/J.Neunet.2019.08.002  0.563
2019 Wunderlich T, Kungl AF, Müller E, Hartel A, Stradmann Y, Aamir SA, Grübl A, Heimbrecht A, Schreiber K, Stöckel D, Pehle C, Billaudelle S, Kiene G, Mauch C, Schemmel J, et al. Demonstrating Advantages of Neuromorphic Computation: A Pilot Study. Frontiers in Neuroscience. 13: 260. PMID 30971881 DOI: 10.3389/Fnins.2019.00260  0.541
2018 Thakur CS, Molin JL, Cauwenberghs G, Indiveri G, Kumar K, Qiao N, Schemmel J, Wang R, Chicca E, Olson Hasler J, Seo JS, Yu S, Cao Y, van Schaik A, Etienne-Cummings R. Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain. Frontiers in Neuroscience. 12: 891. PMID 30559644 DOI: 10.3389/Fnins.2018.00891  0.4
2018 Aamir SA, Muller P, Kiene G, Kriener L, Stradmann Y, Grubl A, Schemmel J, Meier K. A Mixed-Signal Structured AdEx Neuron for Accelerated Neuromorphic Cores. Ieee Transactions On Biomedical Circuits and Systems. PMID 30047897 DOI: 10.1109/Tbcas.2018.2848203  0.52
2018 Leng L, Martel R, Breitwieser O, Bytschok I, Senn W, Schemmel J, Meier K, Petrovici MA. Spiking neurons with short-term synaptic plasticity form superior generative networks. Scientific Reports. 8: 10651. PMID 30006554 DOI: 10.1038/S41598-018-28999-2  0.545
2018 Aamir SA, Stradmann Y, Muller P, Pehle C, Hartel A, Grubl A, Schemmel J, Meier K. An Accelerated LIF Neuronal Network Array for a Large-Scale Mixed-Signal Neuromorphic Architecture Ieee Transactions On Circuits and Systems I-Regular Papers. 65: 4299-4312. DOI: 10.1109/Tcsi.2018.2840718  0.547
2017 Friedmann S, Schemmel J, Grubl A, Hartel A, Hock M, Meier K. Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System. Ieee Transactions On Biomedical Circuits and Systems. 11: 128-142. PMID 28113678 DOI: 10.1109/Tbcas.2016.2579164  0.528
2017 Newton AJH, Seidenstein AH, McDougal RA, Pérez-Cervera A, Huguet G, M-Seara T, Haimerl C, Angulo-Garcia D, Torcini A, Cossart R, Malvache A, Skiker K, Maouene M, Ragognetti G, Lorusso L, ... ... Schemmel J, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0372-1  0.689
2016 Petrovici MA, Bill J, Bytschok I, Schemmel J, Meier K. Stochastic inference with spiking neurons in the high-conductance state. Physical Review. E. 94: 042312. PMID 27841474 DOI: 10.1103/Physreve.94.042312  0.545
2016 Sharpee TO, Destexhe A, Kawato M, Sekulić V, Skinner FK, Wójcik DK, Chintaluri C, Cserpán D, Somogyvári Z, Kim JK, Kilpatrick ZP, Bennett MR, Josić K, Elices I, Arroyo D, ... ... Schemmel J, et al. 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54. PMID 27534393 DOI: 10.1186/S12868-016-0283-6  0.66
2016 Pfeil T, Jordan J, Tetzlaff T, Grübl A, Schemmel J, Diesmann M, Meier K. Effect of heterogeneity on decorrelation mechanisms in spiking neural networks: A neuromorphic-hardware study Physical Review X. 6. DOI: 10.1103/Physrevx.6.021023  0.556
2015 Probst D, Petrovici MA, Bytschok I, Bill J, Pecevski D, Schemmel J, Meier K. Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons. Frontiers in Computational Neuroscience. 9: 13. PMID 25729361 DOI: 10.3389/Fncom.2015.00013  0.582
2015 Probst D, Petrovici M, Bytschok I, Bill J, Pecevski D, Schemmel J, Meier K. Probabilistic inference in discrete spaces can be implemented into networks of LIF neurons Frontiers in Computational Neuroscience. 9. DOI: 10.3389/fncom.2015.00013  0.529
2015 Jordan J, Tetzlaff T, Petrovici M, Breitwieser O, Bytschok I, Bill J, Schemmel J, Meier K, Diesmann M. Deterministic neural networks as sources of uncorrelated noise for probabilistic computations Bmc Neuroscience. 16: P62. DOI: 10.1186/1471-2202-16-S1-P62  0.498
2015 Petrovici MA, Bytschok I, Bill J, Schemmel J, Meier K. The high-conductance state enables neural sampling in networks of LIF neurons Bmc Neuroscience. 16: 1-2. DOI: 10.1186/1471-2202-16-S1-O2  0.533
2014 Petrovici MA, Vogginger B, Müller P, Breitwieser O, Lundqvist M, Muller L, Ehrlich M, Destexhe A, Lansner A, Schüffny R, Schemmel J, Meier K. Characterization and compensation of network-level anomalies in mixed-signal neuromorphic modeling platforms. Plos One. 9: e108590. PMID 25303102 DOI: 10.1371/Journal.Pone.0108590  0.668
2013 Friedmann S, Frémaux N, Schemmel J, Gerstner W, Meier K. Reward-based learning under hardware constraints-using a RISC processor embedded in a neuromorphic substrate. Frontiers in Neuroscience. 7: 160. PMID 24065877 DOI: 10.3389/Fnins.2013.00160  0.633
2013 Pfeil T, Grübl A, Jeltsch S, Müller E, Müller P, Petrovici MA, Schmuker M, Brüderle D, Schemmel J, Meier K. Six networks on a universal neuromorphic computing substrate. Frontiers in Neuroscience. 7: 11. PMID 23423583 DOI: 10.3389/Fnins.2013.00011  0.577
2012 Pfeil T, Potjans TC, Schrader S, Potjans W, Schemmel J, Diesmann M, Meier K. Is a 4-bit synaptic weight resolution enough? - constraints on enabling spike-timing dependent plasticity in neuromorphic hardware. Frontiers in Neuroscience. 6: 90. PMID 22822388 DOI: 10.3389/Fnins.2012.00090  0.511
2012 Schemmel J, Grubl A, Hartmann S, Kononov A, Mayr C, Meier K, Millner S, Partzsch J, Schiefer S, Scholze S, Schuffny R, Schwartz MO. Live demonstration: A scaled-down version of the BrainScaleS wafer-scale neuromorphic system Iscas 2012 - 2012 Ieee International Symposium On Circuits and Systems. 702. DOI: 10.1109/ISCAS.2012.6272131  0.318
2011 Indiveri G, Linares-Barranco B, Hamilton TJ, van Schaik A, Etienne-Cummings R, Delbruck T, Liu SC, Dudek P, Häfliger P, Renaud S, Schemmel J, Cauwenberghs G, Arthur J, Hynna K, Folowosele F, et al. Neuromorphic silicon neuron circuits. Frontiers in Neuroscience. 5: 73. PMID 21747754 DOI: 10.3389/Fnins.2011.00073  0.394
2011 Brüderle D, Petrovici MA, Vogginger B, Ehrlich M, Pfeil T, Millner S, Grübl A, Wendt K, Müller E, Schwartz MO, de Oliveira DH, Jeltsch S, Fieres J, Schilling M, Müller P, ... ... Schemmel J, et al. A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biological Cybernetics. 104: 263-96. PMID 21618053 DOI: 10.1007/S00422-011-0435-9  0.737
2010 Bill J, Schuch K, Brüderle D, Schemmel J, Maass W, Meier K. Compensating Inhomogeneities of Neuromorphic VLSI Devices Via Short-Term Synaptic Plasticity. Frontiers in Computational Neuroscience. 4: 129. PMID 21031027 DOI: 10.3389/Fncom.2010.00129  0.585
2010 Brüderle D, Bill J, Kaplan B, Kremkow J, Meier K, Müller E, Schemmel J. Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2784-2787. DOI: 10.1109/ISCAS.2010.5537005  0.432
2010 Brüderle D, Bill J, Kaplan B, Kremkow J, Meier K, Müller E, Schemmel J. Live demonstration: Simulator-like exploration of cortical network architectures with a mixed-signal VLSI system Iscas 2010 - 2010 Ieee International Symposium On Circuits and Systems: Nano-Bio Circuit Fabrics and Systems. 2783. DOI: 10.1109/ISCAS.2010.5537004  0.435
2009 Brüderle D, Müller E, Davison A, Muller E, Schemmel J, Meier K. Establishing a novel modeling tool: a python-based interface for a neuromorphic hardware system. Frontiers in Neuroinformatics. 3: 17. PMID 19562085 DOI: 10.3389/Neuro.11.017.2009  0.703
2007 Chan JS, Maucher T, Schemmel J, Kilroy D, Newell FN, Meier K. The virtual haptic display: a device for exploring 2-D virtual shapes in the tactile modality. Behavior Research Methods. 39: 802-10. PMID 18183894 DOI: 10.3758/Bf03192972  0.452
2007 Muller E, Buesing L, Schemmel J, Meier K. Spike-frequency adapting neural ensembles: beyond mean adaptation and renewal theories. Neural Computation. 19: 2958-3010. PMID 17883347 DOI: 10.1162/Neco.2007.19.11.2958  0.704
2007 Muller E, Schemmel J, Meier K. Non-renewal Markov models for spike-frequency adapting neural ensembles Bmc Neuroscience. 8: 1-1. DOI: 10.1186/1471-2202-8-S2-S12  0.697
2007 Brüderle D, Meier K, Mueller E, Schemmel J. Verifying the biological relevance of a neuromorphic hardware device Bmc Neuroscience. 8: 10. DOI: 10.1186/1471-2202-8-S2-P10  0.447
2004 Hohmann SG, Fieres J, Meier K, Schemmel J, Schmitz T, Schürmann F. Training fast mixed-signal neural networks for data classification Ieee International Conference On Neural Networks - Conference Proceedings. 4: 2647-2652. DOI: 10.1109/IJCNN.2004.1381065  0.396
2004 Schemmel J, Hohmann S, Meier K, Schürmann F. A Mixed-Mode Analog Neural Network Using Current-Steering Synapses Analog Integrated Circuits and Signal Processing. 38: 233-244. DOI: 10.1023/B:Alog.0000011170.92377.6E  0.515
2002 Schürmann F, Hohmann S, Schemmel J, Meier K. Towards an artificial neural network framework Proceedings - Nasa/Dod Conference On Evolvable Hardware, Eh. 2002: 266-273. DOI: 10.1109/EH.2002.1029893  0.423
2002 Schemmel J, Meier K, Loose M. A Scalable Switched Capacitor Realization of the Resistive Fuse Network Analog Integrated Circuits and Signal Processing. 32: 135-148. DOI: 10.1023/A:1019526009597  0.51
2001 Loose M, Meier K, Schemmel J. A self-calibrating single-chip CMOS camera with logarithmic response Ieee Journal of Solid-State Circuits. 36: 586-596. DOI: 10.1109/4.913736  0.441
1996 Loose M, Meier K, Schemmel J. Camera with analog adaptive photoreceptors for a tactile vision aid Proceedings of Spie. 2904: 528-537. DOI: 10.1117/12.256310  0.472
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