A software framework for mapping neural networks to a wafer-scale neuromorphic hardware system

Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing - Workshop, ANNIIP 2010, in Conjunction with ICINCO 2010

Volumn , Issue , 2010, Pages 43-52

  Ehrlich, Matthias ^a   Wendt, Karsten ^a   Zühl, Lukas ^a   Schüffny, René ^a   Brüderle, Daniel ^b   Müller, Eric ^b   Vogginger, Bemhard ^b  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF HEIDELBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

HARDWARE SYSTEM; NEUROMORPHIC; PROCESS EVALUATION; SOFTWARE FRAMEWORKS; WAFER-SCALE;

DATA PROCESSING;

NEURAL NETWORKS;

EID: 78649381747     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Schemmel, J., Fieres, J., Meier, K.: Wafer-scale integration of analog neural networks. In: Proceedings IJCNN2008, IEEE Press. (2008) 431-438.
2. Khan, M., Lester, D., Plana, L., Rast, A., X. Jin, Painkras, E., Furber, S.: SpiNNaker: Mapping Neural Networks onto a Massively-Parallel Chip Multiprocessor. In: Proceedings 2008 International Joint Conference on Neural Networks, IJCNN 2008. (2008) 2849 - 2856.
3. Ehrlich, M., Mayr, C., Eisenreich, H., Henker, S., Srowig, A., Gruebl, A., Schemmel, J., Schueffny, R.: Wafer-scale VLSI implementations of pulse coupled neural networks. In: International Conference on Sensors, Circuits and Instrumentation Systems SSD'07. (2007)
4. Fieres, J., Schemmel, J., Meier, K.: Realizing Biological Spiking Network Models in a Configurable Wafer-Scale Hardware System. In: IEEE International Joint Conference on Neural Networks IJCNN. (2008) 969 - 976.
5. Brette, R., Gerstner, W.: Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity. Journal of Neurophysiology 94 (2005) 3637-3642
6. Schemmel, J., Brüderle, D., Meier, K., Ostendorf, B.: Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F neurons. In: Proceedings of the 2007 IEEE International Symposium on Circuits and Systems (ISCAS'07), IEEE Press (2007)
7. 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. Front. Neuroinform. 3 (2009)
8. Davison, A., Muller, E., Brüderle, D., Kremkow, J.: A common language for neuronal networks in software and hardware. The Neuromorphic Engineer (2010)
9. Davison, A. P., Brüderle, D., Eppler, J., Kremkow, J., Muller, E., Pecevski, D., Perrinet, L., Yger, P.: PyNN: a common interface for neuronal network simulators. Front. Neuroinform. 2(11)(2009)1-10
10. Hines, M. L., Carnevale, N. T: The NEURON Book. Cambridge University Press, Cambridge, U.K. (2006)
11. Gewaltig, M. O., Diesmann, M.: NEST (NEural Simulation Tool). Scholarpedia 2 (2007) 1430
12. Goodman, D., Brette, R.: Brian: a simulator for spiking neural networks in Python. Front. Neuroinform. 2 (2008)
13. Pecevski, D. A., Natschläger, T., Schuch, K. N.: PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python. Front. Neuroinform. 3 (2009)
14. 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. In: Proceedings of the 2010 IEEE International Symposium on Circuits and Systems (ISCAS'10). (2010) Accepted
15. Wendt, K., Ehrlich, M., Schüffny, R.: Graph theoretical approach for a multistep mapping software for the FACETS project. In: 2nd WSEAS Int. Conference on Computer Engineering and Applications (CEA'08). (2008)
16. Wendt, K., Ehrlich, M., Schüffny, R.: GMPath - A Path Language for Navigation, Information query and modification of data graphs. In: 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP). (2010) Accepted
17. Wendt, K., Ehrlich, M., Mayr, C., Schffny, R.: Abbildung komplexer, pulsierender, neuronaler Netzwerke auf spezielle neuronale VLSI Hardware. Dresdner Arbeitstagung Schaltungs- und Systementwurf DASS 2007 (2007) pp. 127-132
18. Munzner, T.: H3: Laying out large directed graphs in 3d hyperbolic space. In: Proceedings of the 1997 IEEE Symposium on Information Visualization. (1997) 2-10
19. Kremkow, J., Perrinet, L., Aertsen, A., Masson, G.: Functional consequences of correlated excitatory and inhibitory conductances. (2009) Submitted
20. Lundqvist, M., Rehn, M., Djurfeldt, M., Lansner, A.: Attractor dynamics in a modular network of neocortex. Network: Computation in Neural Systems 17:3 (2006) 253-276
21. Destexhe, A.: Self-sustained asynchronous irregular states and Up/Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. Journal of Computational Neuroscience 3 (2009)