Hardware implementation of memristor-based artificial neural networks
Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL)
techniques, which rely on networks of connected simple computing units operating in …
techniques, which rely on networks of connected simple computing units operating in …
A survey of neuromorphic computing and neural networks in hardware
Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …
and models that contrast the pervasive von Neumann computer architecture. This …
A survey on neuromorphic computing: Models and hardware
The explosion of “big data” applications imposes severe challenges of speed and scalability
on traditional computer systems. As the performance of traditional Von Neumann machines …
on traditional computer systems. As the performance of traditional Von Neumann machines …
A leaky integrate-and-fire laser neuron for ultrafast cognitive computing
We propose an original design for a neuron-inspired photonic computational primitive for a
large-scale, ultrafast cognitive computing platform. The laser exhibits excitability and …
large-scale, ultrafast cognitive computing platform. The laser exhibits excitability and …
On the computational power of winner-take-all
W Maass - Neural computation, 2000 - ieeexplore.ieee.org
This article initiates a rigorous theoretical analysis of the computational power of circuits that
employ modules for computing winner-take-all. Computational models that involve …
employ modules for computing winner-take-all. Computational models that involve …
Gaussian synapses for probabilistic neural networks
A Sebastian, A Pannone… - Nature …, 2019 - nature.com
The recent decline in energy, size and complexity scaling of traditional von Neumann
architecture has resurrected considerable interest in brain-inspired computing. Artificial …
architecture has resurrected considerable interest in brain-inspired computing. Artificial …
Theory and applications of neural networks for industrial control systems
The theory and the applications of artificial neural networks, especially in a control field, are
described. Recurrent networks and feedforward networks are discussed. Application to …
described. Recurrent networks and feedforward networks are discussed. Application to …
[图书][B] Encyclopedia of biomaterials and biomedical engineering
G Wnek, G Bowlin - 2008 - books.google.com
Written by more than 400 subject experts representing diverse academic and applied
domains, this multidisciplinary resource surveys the vanguard of biomaterials and …
domains, this multidisciplinary resource surveys the vanguard of biomaterials and …
[图书][B] Neural and fuzzy logic control of drives and power systems
M Cirstea, A Dinu, M McCormick, JG Khor - 2002 - books.google.com
The authors guide readers quickly and concisely through the complex topics of neural
networks, fuzzy logic, mathematical modelling of electrical machines, power systems control …
networks, fuzzy logic, mathematical modelling of electrical machines, power systems control …
A world survey of artificial brain projects, Part I: Large-scale brain simulations
H De Garis, C Shuo, B Goertzel, L Ruiting - Neurocomputing, 2010 - Elsevier
Driven by rapid ongoing advances in computer hardware, neuroscience and computer
science, Artificial Brain research and development are blossoming. This article constitutes …
science, Artificial Brain research and development are blossoming. This article constitutes …