Published October 21, 2020
| Version v1
Publication
Design of adaptive nano/CMOS neural architectures
Description
Memristive devices are a promising technology to
implement dense learning synapse arrays emulating the high
memory capacity and connectivity of biological brains. Recently,
the implementation of STDP learning in memristive devices
connected to spiking neurons have been demonstrated as well as
the dependency of the form of the learning rule on the shape of
the applied spike. In this paper, we propose a fully CMOS
integrate-and-fire neuron generating a precisely shaped spike
that can be tuned through programmable biases. The
implementation of STDP learning is demonstrated through
electrical simulations of a 4x4 array of memristors connected to
4 spiking neurons.
Abstract
Junta de Andalucía TIC-2010-6091Abstract
Ministerio de Ciencia e Innovación TEC2009-10639-C04-01Abstract
Ministerio de Economía y Competitividad TEC2012-37868-C04-01Abstract
European Union PRI-PIMCHI-2011-0768Additional details
Identifiers
- URL
- https://idus.us.es/handle//11441/102098
- URN
- urn:oai:idus.us.es:11441/102098