Abstract
The nonlinear model of the functional properties of the hippocampal formation has been developed. The architecture of the proposed hardware implementation has a topology highly similar to the anatomical structure of the hippocampus, and the dynamical properties of its components are based on experimental characterization of individual hippocampal neurons. The design scheme of analog cellular neural network has been extensively applied. By using a 1-μm CMOS technology, the 5×5 neuron array with some testing modules has been designed for the fabrication. According to the SPICE-3 circuit simulator, the response time of each neuron with memorizing 4 time units is around 0.5 μsec.
| Original language | English |
|---|---|
| Pages | 2009-2014 |
| Number of pages | 6 |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) - Orlando, FL, USA Duration: 27 06 1994 → 29 06 1994 |
Conference
| Conference | Proceedings of the 1994 IEEE International Conference on Neural Networks. Part 1 (of 7) |
|---|---|
| City | Orlando, FL, USA |
| Period | 27/06/94 → 29/06/94 |