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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hasler, P. Akers, L. |
| Copyright Year | 1991 |
| Description | Author affiliation: Center for Solid State Electron. Res., Arizona State Univ., Tempe, AZ, USA (Hasler, P.; Akers, L.) |
| Abstract | The topics discussed are: architectures of analog neural networks; multilevel or analog DRAM synapses; and a continuous time neural network using a high performance multilevel DRAM system. Neural networks must be implemented in hardware to achieve real time performance. The size and performance of the synapse element play a critical role in the overall system performance. In addition, a long term analog memory circuit is critical for most analog neural network implementations. Dynamic refreshing schemes potentially allow very compact synapses with fast read and write operations, but are only achievable with state of the art analog VLSI design theories and techniques. The implementation described performs an 8 to 10 bit transmission of a dynamically stored value and a 2 MHz, successive approximation analog-to-digital (A/D) to digital-to-analog (D/A) converter.< |
| Starting Page | 32 |
| Ending Page | 38 |
| File Size | 538528 |
| Page Count | 7 |
| File Format | |
| ISBN | 0818621338 |
| DOI | 10.1109/PCCC.1991.113788 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-03-27 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Neurons Biological neural networks Neural network hardware Computer architecture Integrated circuit interconnections Real time systems Computer simulation Neurofeedback Analog computers |
| Content Type | Text |
| Resource Type | Article |
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