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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Laajimi, R. Hamdi, B. Ayari, N. |
| Copyright Year | 2011 |
| Description | Author affiliation: Electronic & Microelectronics' LAB. Monastir Tunisia (Laajimi, R.; Hamdi, B.; Ayari, N.) |
| Abstract | Efficient weight storage and multiplication are important design challenges which must be addressed in analog neural network implementations. Many schemes have been previously reported for implementation of synapses. In this paper we describe a buck driven Multiplier digital-to-analog converter (MDAC) circuit. We present a novel synapse circuit for analog neural networks. This circuit is a 6-bit Multiplier Digital to Analogue Converter (MDAC) synapse based on bulk-driven technology. The circuit has a small layout area (1200 μm2 using 0.18μm TSMC CMOS technology). The measured results are within ±0.5 LSB for DNL and ±0.4 LSB for INL, with 0.1 mW power dissipation at 0.75 V power supply and the silicon area is reduced by a factor of 35% with respect to conventional MDAC implementation. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1111836 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457703157 |
| ISSN | 18037232 |
| e-ISBN | 9788070439302 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-07 |
| Publisher Place | Czech Republic |
| Access Restriction | Subscribed |
| Rights Holder | University of West Bohemi |
| Subject Keyword | Layout Neurons Very large scale integration Multiplying DAC CMOS technology CMOS integrated circuits Low power Mirrors Bulk-driven technology Deep-N-Well Biological neural networks |
| Content Type | Text |
| Resource Type | Article |
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