[HTML][HTML] Hands-on reservoir computing: a tutorial for practical implementation
This manuscript serves a specific purpose: to give readers from fields such as material
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …
science, chemistry, or electronics an overview of implementing a reservoir computing (RC) …
[HTML][HTML] Connectome-based reservoir computing with the conn2res toolbox
The connection patterns of neural circuits form a complex network. How signaling in these
circuits manifests as complex cognition and adaptive behaviour remains the central question …
circuits manifests as complex cognition and adaptive behaviour remains the central question …
A survey on reservoir computing and its interdisciplinary applications beyond traditional machine learning
Reservoir computing (RC), first applied to temporal signal processing, is a recurrent neural
network in which neurons are randomly connected. Once initialized, the connection …
network in which neurons are randomly connected. Once initialized, the connection …
Quantifying the computational capability of a nanomagnetic reservoir computing platform with emergent magnetisation dynamics
Devices based on arrays of interconnected magnetic nano-rings with emergent
magnetization dynamics have recently been proposed for use in reservoir computing …
magnetization dynamics have recently been proposed for use in reservoir computing …
Life as a cyber-bio-physical system
S Stepney - Genetic Programming Theory and Practice XIX, 2023 - Springer
The study of living systems—including those existing in nature, life as it could be, and even
virtual life—needs consideration of not just traditional biology, but also computation and …
virtual life—needs consideration of not just traditional biology, but also computation and …
A kinetic Monte Carlo approach for Boolean logic functionality in gold nanoparticle networks
J Mensing, WG van der Wiel, A Heuer - Frontiers in Nanotechnology, 2024 - frontiersin.org
Nanoparticles interconnected by insulating organic molecules exhibit nonlinear switching
behavior at low temperatures. By assembling these switches into a network and …
behavior at low temperatures. By assembling these switches into a network and …
conn2res: A toolbox for connectome-based reservoir computing
The connection patterns of neural circuits form a complex network. How signaling in these
circuits manifests as complex cognition and adaptive behaviour remains the central question …
circuits manifests as complex cognition and adaptive behaviour remains the central question …
Reservoir Computing with Nanowire Exchange-Coupled Spin Torque Oscillator Arrays
Spin torque oscillators (STOs) feature transient non-linear behaviour that can be exploited
for computation. When combined in arrays, they can be networked to produce more complex …
for computation. When combined in arrays, they can be networked to produce more complex …
Breaking Implicit Assumptions of Physical Delay-Feedback Reservoir Computing
T Gan - 2023 - etheses.whiterose.ac.uk
The Reservoir Computing (RC) paradigm is a supervised machine learning scheme using
the natural computational ability of dynamical systems. Such dynamical systems incorporate …
the natural computational ability of dynamical systems. Such dynamical systems incorporate …
conn2res: A toolbox for connectome-based reservoir computing
The connection patterns of neural circuits form a complex network. How signaling in these
circuits manifests as complex cognition and adaptive behaviour remains the central question …
circuits manifests as complex cognition and adaptive behaviour remains the central question …