Publications of Schemmel, J.

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18 publication entries, 5 of them (printed in bold in the list) acknowledge the project support.
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Conference contribution: poster

Paper (reviewed)

Bill et al. 2010Bill, J., Schuch, K., Brüderle, D., Schemmel, J., Maass, W. and Meier, K.Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticityFront. Comput. Neurosci. (2010) 4:129.
doi:10.3389/fncom.2010.00129
abstract, BibTeX
Brüderle et al. 2009Brüderle, D., Müller, E., Davison, A., Muller, E., Schemmel, J. and Meier, K.Establishing a novel modeling tool: A Python-based interface for a neuromorphic hardware systemFront. Neuroinform. (2009) 3:17
doi:10.3389/neuro.11.017.2009
abstract, fulltext, BibTeX
Bruederle et al. 2011Brüderle, D., Petrovici, M.A., Vogginger, B., Ehrlich, M., Pfeil, T., Millner, S., Grübl, A., Wendt, K., Müller, E., Schwartz, M.O., de Oliveira, D.H., Jeltsch, S., Fieres, J., Schilling, M., Müller, P., Breitwieser, O., Petkov, V., Muller, L., Davison, A.P., Krishnamurthy, P., Kremkow, J., Lundqvist, M., Muller, E., Partzsch, J., Scholze, S., Zühl, L., Mayr, C., Destexhe, A., Diesmann, M., Potjans, T.C., Lansner, A., Schüffny, R., Schemmel, J. and Meier, K.A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.Biol Cybern. (2011) 104(4-5):263-96
doi:10.1007/s00422-011-0435-9
fulltext, BibTeX
Indiveri et al.Indiveri, G., Linares-Barranco, B., Hamilton, T. J., van Schaik, A., Etienne-Cummings, R., Delbruck, T., Liu, S.-C., Dudek, P., Häfliger, P., Renaud, S., Schemmel, J., Cauwenberghs, G., Arthur, J., Hynna, K., Folowosele, F., Saïghi, S., Serrano-Gotarredona, T., Wijekoon, J., Wang, Y. and Boahen, K. Neuromorphic silicon neuron circuitsFront. Neurosci. (2011) 5:73
doi:10.3389/fnins.2011.00073
fulltext, BibTeX
Schemmel et al. 2008aSchemmel, J., Fieres, J. and Meier, K.Realizing Biological Spiking Network Models in a Configurable Wafer-Scale Hardware System IEEE International Joint Conference on Neural Networks IJCNN (2008) : 969-976
doi:10.1109/IJCNN.2008.4633916
abstract, BibTeX
Schemmel et al. 2008bSchemmel, J., Fieres, J. and Meier, K.Wafer-Scale Integration of Analog Neural Networks IEEE International Joint Conference on Neural Networks IJCNN (2008) : 431-438
doi:10.1109/IJCNN.2008.4633828
fulltext, BibTeX

Conference contribution: poster

Bruederle et al. 2007Bruederle, D., Gruebl, A., Meier, K., Mueller, E. and Schemmel, J.A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biologyn Proc. of IWANN 2007, San Sebastián, Spain, June 2007, Springer LNCS 4507, pp. 479 - 486 abstract, fulltext
Brüderle et al. 2009cBrüderle, D., Kremkow, J., Bauer, A., Perrinet, L.U., Aertsen, A., Masson, G.S., Meier, K. and Schemmel, J.Matching Network Dynamics Generated by a Neuromorphic Hardware System and by a Software SimulatorBernstein Conference on Computational Neurosciences (2009)
Bruederle et al. 2010Brüderle, D., Bill, J., Kaplan, B., Kremkow, J., Meier, K., Müller, E. and Schemmel, J.Simulator-like exploration of cortical network architectures with a mixed-signal VLSI systemProceedings of 2010 IEEE International Symposium on Circuits and Systems (ISCAS) (2010): 2784-2787
doi:10.1109/ISCAS.2010.5537005
fulltext
Ehrlich et al. 2007Ehrlich, M., Mayr, C., Eisenreich, H., Henker, S., Srowig, A., Gruebl, A., Schemmel, J. and Schüffny, R.Wafer-scale VLSI implementations of pulse coupled neural networksInternational Conference on Sensors, Circuits and Instrumentation Systems (SSD-07), Hammamet-Tunisia 2007, p. 409 ff., electronic publication. fulltext
Fieres et al. 2006Fieres, J., Schemmel, J. and Meier, K.Training convolutional networks of threshold neurons suited for low-power hardware implementationProceedings of the 2006 International Joint Conference on Neural Networks (IJCNN 2006), 21--28, IEEE Press (2006) abstract, fulltext
Fieres et al. 2006bFieres, J., Meier, K. and Schemmel, J.A convolutional neural network tolerant of synaptic faults for low-power analog hardwareProceedings of 2nd IAPR International Workshop on ArtificialNeural Networks in Pattern Recognition (ANNPR 2006), Lecture Notes in Artificial Intelligence 4087, 122-132, Springer (2006) abstract, fulltext
Kaplan et al. 2009Kaplan, B., Bruederle, D., Schemmel, J. and Meier, K.High-Conductance States on a Neuromorphic Hardware SystemProceedings of the 2009 International Joint Conference on Neural Networks, Atlanta, USA (2009): 2593-2599 abstract, fulltext
Phillipp et al. 2007Philipp, S., Gruebl, A., Meier, K. and Schemmel, J.Interconnecting VLSI Spiking Neural Networks Using Isochronous ConnectionsProceedings of the International Work-Conference on Artificial Neural Networks (IWANN) 2007, LNCS 4507, p. 471-478, Springer abstract
Schemmel 2009Schemmel, J.VLSI Implementations of Very Large Scale Neuromorphic Circuitstalk on the ESSCIRC/BIECS 09, Athens, Greek fulltext
Schemmel et al. 2006Schemmel, J., Gruebl, A., Meier, K. and Mueller, E.Implementing Synaptic Plasticity in a VLSI Spiking Neural Network ModelProceedings of the 2006 International Joint Conference on Neural Networks (IJCNN'06), 2006, IEEE Press abstract, fulltext
Schemmel et al. 2007Schemmel, J., Bruederle, D., Meier, K., Ostendorf, B.Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F NeuronsProceedings of the 2007 IEEE International Symposium on Circuits and Systems (2007) abstract
Schemmel et al. 2010Schemmel, J., Brüderle, D., Grübl, A., Hock, M., Meier, K. and Millner, S. A Wafer-Scale Neuromorphic Hardware System for Large-Scale Neural ModelingProceedings of the 2010 IEEE International Symposium on Circuits and Systems, Paris, France (2010):1947-1950 fulltext


 
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3 August 2011