Reservoir computing with a single time-delay autonomous Boolean node
ND Haynes, MC Soriano, DP Rosin, I Fischer… - Physical Review E, 2015 - APS
We demonstrate reservoir computing with a physical system using a single autonomous
Boolean logic element with time-delay feedback. The system generates a chaotic transient …
Boolean logic element with time-delay feedback. The system generates a chaotic transient …
Information dynamics in neuromorphic nanowire networks
Neuromorphic systems comprised of self-assembled nanowires exhibit a range of neural-
like dynamics arising from the interplay of their synapse-like electrical junctions and their …
like dynamics arising from the interplay of their synapse-like electrical junctions and their …
[图书][B] Dynamics of complex autonomous Boolean networks
DP Rosin - 2014 - books.google.com
This thesis focuses on the dynamics of autonomous Boolean networks, on the basis of
Boolean logic functions in continuous time without external clocking. These networks are …
Boolean logic functions in continuous time without external clocking. These networks are …
The connectivity degree controls the difficulty in reservoir design of random boolean networks
Reservoir Computing (RC) is a paradigm in artificial intelligence where a recurrent neural
network (RNN) is used to process temporal data, leveraging the inherent dynamical …
network (RNN) is used to process temporal data, leveraging the inherent dynamical …
Flexibility of boolean network reservoir computers in approximating arbitrary recursive and non-recursive binary filters
Reservoir computers (RCs) are biology-inspired computational frameworks for signal
processing that are typically implemented using recurrent neural networks. Recent work has …
processing that are typically implemented using recurrent neural networks. Recent work has …
Evolving graphs by graph programming
T Atkinson - 2019 - etheses.whiterose.ac.uk
Graphs are a ubiquitous data structure in computer science and can be used to represent
solutions to difficult problems in many distinct domains. This motivates the use of …
solutions to difficult problems in many distinct domains. This motivates the use of …
A sensitivity analysis of cellular automata and heterogeneous topology networks: partially-local cellular automata and homogeneous homogeneous random boolean …
TE Glover, R Jahren, F Martinuzzi… - … Journal of Parallel …, 2024 - Taylor & Francis
ABSTRACT Elementary Cellular Automata (ECA) are well-studied computational universes
capable of impressive computational variety, but harnessing their potential has been …
capable of impressive computational variety, but harnessing their potential has been …
Stochastic optimisation of lookup table networks, for realtime inference on embedded systems
C Kiefer - 2021 - sussex.figshare.com
Neural networks running on FPGAs offer great potential for creative applications in realtime
audio and sensor processing, but training models to run on these platforms can be …
audio and sensor processing, but training models to run on these platforms can be …
Evolution of neural dynamics in an ecological model
S Williams, L Yaeger - Geosciences, 2017 - mdpi.com
What is the optimal level of chaos in a computational system? If a system is too chaotic, it
cannot reliably store information. If it is too ordered, it cannot transmit information. A variety …
cannot reliably store information. If it is too ordered, it cannot transmit information. A variety …
The connectivity degree controls the difficulty of RBN reservoir design
Reservoir Computing (RC) is a paradigm in artificial intelligence where a recurrent neural
network (RNN) is used to process temporal data, leveraging the inherent dynamical …
network (RNN) is used to process temporal data, leveraging the inherent dynamical …