Sensores compatibles CMOS de bajo consumo con procesado eficiente bioinspirado en Edge - SENSEDGE
Experimental results of the SENSEDGE project. The videos show how the hardware is configured with the Izhikevich model and a demonstration network that executes simultaneously LIF and Izhikevich. LIF neurons are just oscillators used to drive the Izhikevich neurons. Real Time execution. The first vi...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Consorci de Serveis Universitaris de Catalunya (CSUC) |
| Repositorio: | CORA.Repositori de Dades de Recerca |
| OAI Identifier: | oai:dnet:cora.rdr____::ef15d16ec71f993471a4ceeabcc86a06 |
| Acceso en línea: | https://doi.org/10.34810/DATA3137 |
| Access Level: | acceso abierto |
| Palabra clave: | Engineering Low-power sensor circuits Izhikevich neuron model Spiking neural network |
| Sumario: | Experimental results of the SENSEDGE project. The videos show how the hardware is configured with the Izhikevich model and a demonstration network that executes simultaneously LIF and Izhikevich. LIF neurons are just oscillators used to drive the Izhikevich neurons. Real Time execution. The first video shows the real-time execution of Izhikevich neurons with different firing patterns. We started with the second group since some patterns are only observed at the beginning, followed by the first group, which includes the typical RS, IB, CH, and FS patterns |
|---|