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 …
Challenges for large-scale implementations of spiking neural networks on FPGAs
The last 50 years has witnessed considerable research in the area of neural networks
resulting in a range of architectures, learning algorithms and demonstrative applications. A …
resulting in a range of architectures, learning algorithms and demonstrative applications. A …
Implementing spiking neural networks for real-time signal-processing and control applications: A model-validated FPGA approach
In this paper, we present two versions of a hardware processing architecture for modeling
large networks of leaky-integrate-and-flre (LIF) neurons; the second version provides …
large networks of leaky-integrate-and-flre (LIF) neurons; the second version provides …
A reconfigurable computing architecture for implementing artificial neural networks on FPGA
KR Nichols - 2003 - atrium.lib.uoguelph.ca
Artificial Neural Networks (ANNs), and the backpropagation algorithm in particular, are a
form of'artificial intelligence that has traditionally suffered from slow training and lack of a …
form of'artificial intelligence that has traditionally suffered from slow training and lack of a …
Architecture, system and method for artificial neural network implementation
An architecture, systems and methods for a scalable artificial neural network, wherein the
architecture includes: an input layer; at least one hidden layer; an output layer; and a …
architecture includes: an input layer; at least one hidden layer; an output layer; and a …
A new classification approach for neural networks hardware: from standards chips to embedded systems on chip
N Izeboudjen, C Larbes, A Farah - Artificial Intelligence Review, 2014 - Springer
The aim of this paper is to propose a new classification approach of artificial neural networks
hardware. Our motivation behind this work is justified by the following two arguments: first …
hardware. Our motivation behind this work is justified by the following two arguments: first …
[PDF][PDF] Cellular automata hardware implementations-an overview
D Monica - Science and Technology, 2016 - romjist.ro
Cellular automata model grew very popular decades ago with software applications like the
Game of Life. From the computing theory's perspective, it is a fundamental model of massive …
Game of Life. From the computing theory's perspective, it is a fundamental model of massive …
Programming of memristive artificial synaptic crossbar network using PWM techniques
Memristor resembles an artificial synapse and is considered to be basic electronic element
for realizing neuromorphic circuits. In this work, a systematic investigation was conducted on …
for realizing neuromorphic circuits. In this work, a systematic investigation was conducted on …
Architecture, system and method for artificial neural network implementation
Abstract Systems and methods for a scalable artificial neural network, wherein the
architecture includes: an input layer; at least one hidden layer; an output layer; and a …
architecture includes: an input layer; at least one hidden layer; an output layer; and a …
Alan Turing's unorganized machines and artificial neural networks: his remarkable early work and future possibilities
CS Webster - Evolutionary Intelligence, 2012 - Springer
In a technical report submitted in 1948, Alan Turing presented a far-sighted survey of the
prospect of constructing machines capable of intelligent behaviour. This report was all the …
prospect of constructing machines capable of intelligent behaviour. This report was all the …