Principled neuromorphic reservoir computing
Abstract Reservoir computing advances the intriguing idea that a nonlinear recurrent neural circuit—the reservoir—can encode spatio-temporal input signals to enable efficient ways to perform tasks like classification or regression. However, recently the idea of a monolithic reservoir network that si...
Saved in:
Main Authors: | Denis Kleyko, Christopher J. Kymn, Anthony Thomas, Bruno A. Olshausen, Friedrich T. Sommer, E. Paxon Frady |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-025-55832-y |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS).
by: DanielRaj K, et al.
Published: (2025-01-01) -
Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing
by: David Alcer, et al.
Published: (2025-01-01) -
Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices
by: Muhammad Hamza Pervez, et al.
Published: (2025-02-01) -
Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware
by: Madison Cotteret, et al.
Published: (2025-01-01) -
Neuromorphic system using capacitor synapses
by: Reon Oshio, et al.
Published: (2025-01-01)