Simulation of a memristor-based spiking neural network immune to device variations
In: 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose) ; https://hal.science/hal-01827055 ; 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose), Jul, 2011
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Zugriff:
International audience ; — We propose a design methodology to exploit adaptive nanodevices (memristors), virtually immune to their variability. Memristors are used as synapses in a spiking neural network performing unsupervised learning. The memristors learn through an adaptation of spike timing dependent plasticity. Neurons' threshold is adjusted following a homeostasis-type rule. System level simulations on a textbook case show that performance can compare with traditional supervised networks of similar complexity. They also show the system can retain functionality with extreme variations of various memristors' parameters, thanks to the robustness of the scheme, its unsupervised nature, and the power of homeostasis. Additionally the network can adjust to stimuli presented with different coding schemes.
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Simulation of a memristor-based spiking neural network immune to device variations
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| Autor/in / Beteiligte Person: | Querlioz, Damien ; Bichler, Olivier ; Gamrat, Christian ; Institut d'électronique fondamentale (IEF) ; Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS) ; Laboratoire d'Intégration des Systèmes et des Technologies (LIST (CEA)) ; Direction de Recherche Technologique (CEA) (DRT (CEA)) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) ; Laboratoire Calculateurs Embarqués et Image (LCEI) ; Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Technologique (CEA) (DRT (CEA)) |
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| Zeitschrift: | 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose) ; https://hal.science/hal-01827055 ; 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose), Jul, 2011 |
| Veröffentlichung: | HAL CCSD ; IEEE, 2011 |
| Medientyp: | Konferenz |
| DOI: | 10.1109/IJCNN.2011.6033439 |
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