Design and implementation of memristive neuron leakage integrator, and learning feedback
| Autor: | Evgeniy Zykov, Alexander Toschev, Victor Erokhin, Max Talanov, Dinar Masaev, Alina Suleimanova |
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| Rok vydání: | 2021 |
| Předmět: |
0303 health sciences
Computer science Schematic Hardware_PERFORMANCEANDRELIABILITY 02 engineering and technology Memristor 021001 nanoscience & nanotechnology law.invention 03 medical and health sciences Capacitor medicine.anatomical_structure law Integrator Hardware_INTEGRATEDCIRCUITS Electronic engineering medicine Soma Neuron Resistor 0210 nano-technology 030304 developmental biology Leakage (electronics) |
| Zdroj: | 2021 International Siberian Conference on Control and Communications (SIBCON). |
| DOI: | 10.1109/sibcon50419.2021.9438877 |
| Popis: | In this paper we present results of the simulation and physical implementation of eSTDP and iSTDP learning functions for memristive devices, bio-plausible neurons, and soma leakage integrator. The implementation of the STDP is implemented as memristive neuron schematic with excitatory, and inhibitory inputs. Wiring schematic for all cases as well as the simulatory experiments results are implemented in LTSpice simulator. The physical implementation is done via analog op-amps resistors and capacitors. |
| Databáze: | OpenAIRE |
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