Abstract
Scalable hardware interconnect is a significant research challenge for neuromorphic systems in particular, this becomes more pronounced when we seek to realise the integration of neurons with astrocytes cells. This paper pre-sents a novel interactive architecture for the astrocyte-neuron network (ANN) hardware systems, and the novel Hierarchical Astrocyte Network Architecture (HANA) using networks-on-chip (NoC) for the efficient information exchange between astrocyte cells. The proposed HANA incorporates a two-level NoC packet transmission mechanism to increase the information exchange rate be-tween astrocyte cells and to provide a NoC traffic balance for local and global astrocyte networks. Experimental results demonstrate that the proposed HANA approach can provide efficient information exchange rates for the ANN, while the hardware synthesis results using 90nm CMOS technology show that it has a low area overhead which maintains scalability.
Original language | English |
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Title of host publication | Unknown Host Publication |
Publisher | Springer |
Number of pages | 8 |
DOIs | |
Publication status | Accepted/In press - 12 Jun 2016 |
Event | 25th International Conference on Artificial Neural Networks - Duration: 12 Jun 2016 → … |
Conference
Conference | 25th International Conference on Artificial Neural Networks |
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Period | 12/06/16 → … |
Keywords
- Astrocyte-neuron network
- networks-on-chip
- interconnect
- self-repair
- FPGAs