Evaluation of the computational capabilities of a memristive random network (MN3) under the context of reservoir computing.
Neural Netw
; 106: 223-236, 2018 Oct.
Article
in En
| MEDLINE
| ID: mdl-30077960
ABSTRACT
This work presents the simulation results of a novel recurrent, memristive neuromorphic architecture, the MN3 and explores its computational capabilities in the performance of a temporal pattern recognition task by considering the principles of the reservoir computing approach. A simple methodology based on the definitions of ordered and chaotic dynamical systems was used to determine the separation and fading memory properties of the architecture. The results show the potential use of this architecture as a reservoir for the on-line processing of time-varying inputs.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Neural Networks, Computer
/
Speech Recognition Software
Type of study:
Clinical_trials
/
Evaluation_studies
Language:
En
Journal:
Neural Netw
Journal subject:
NEUROLOGIA
Year:
2018
Document type:
Article