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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gopalakrishnan, R. Basu, A. |
| Copyright Year | 2012 |
| Abstract | This brief describes the neuromorphic very large scale integration implementation of a synapse utilizing a single floating-gate (FG) transistor that can be used to store a weight in a nonvolatile manner and demonstrate biological learning rules such as spike-timing-dependent plasticity (STDP). The experimental STDP plot (change in weight against △t = tpost - tpre) of a traditional FG synapse from previous studies shows a depression instead of potentiation at some range of positive values of △t-we call this non-STDP behavior. In this brief, we first analyze theoretically the reason for this anomaly and then present a simple solution based on changing control gate waveforms of the FG device to make the weight change conform closely to biological observations over a wide range of parameters. The experimental results from an FG synapse fabricated in AMS 0.35-μm CMOS process design are also presented to justify the claim. Finally, we present the simulation results of a circuit designed to create the modified gate voltage waveform. |
| Page Count | 6 |
| File Size | 1090495 |
| Starting Page | 2596 |
| Ending Page | 2601 |
| File Format | |
| ISSN | 2162237X |
| Volume Number | 26 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Logic gates Tunneling Mathematical model Simulation Equations Transistors Very large scale integration very large scale integration (VLSI). Floating gate (FG) learning neuromorphic neuroscience spike-timing-dependent plasticity (STDP) synapse very large scale integration (VLSI) |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Computer Networks and Communications Computer Science Applications Software |
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