The Letter presents two nonlinear CMOS current-mode circuits that implement neuron soma equations for chaotic neural networks. They have been fabricated in a double-metal, single-poly 1.6µm CMOS technology. The neuron soma circuits use a novel, highly accurate CMOS circuit strategy to realise piecewise-linear characteristics in the current-mode domain. Their prototypes obtain reduced area and low voltage power supply (down to 3V) with a clock frequency of 500 kHz
Simulation of large-scale nonlinear dynamical systems on hardware with a high resemblance to their m...
Information processing in the brain takes place in a dense network of neurons connected through syna...
International audienceAs Moore's law reaches its end, traditional computing technology based on the ...
This paper presents two nonlinear CMOS current-mode circuits that implement neuron soma equations fo...
This paper presents two nonlinear CMOS current-mode circuits that implement neuron soma equations fo...
This dissertation describes a new model and a new approach to study the dynamics of artificial neura...
We investigated novel artificial model neurons with similar capabilities to the biological neuron\u2...
A CMOS circuit is proposed that emulates FitzHugh-Nagumo's differential equations using OTAs, diode ...
The mathematical neuron basic cells used as basic cells in popular neural network architectures and ...
This paper describes CMOS circuits generating arbitrary chaotic signals. The proposed circuits imple...
Neural networks typically use an abstraction of the behaviour of a biological neuron, in which the ...
The distinctive switching spikes seen in single memristors are suppressed in networks of memristors....
In this work, we present an original implementation of a circuit to perform the analog simulation of...
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This paper presents the use of analog integrated circuits for secure communication based on chaos sy...
Simulation of large-scale nonlinear dynamical systems on hardware with a high resemblance to their m...
Information processing in the brain takes place in a dense network of neurons connected through syna...
International audienceAs Moore's law reaches its end, traditional computing technology based on the ...
This paper presents two nonlinear CMOS current-mode circuits that implement neuron soma equations fo...
This paper presents two nonlinear CMOS current-mode circuits that implement neuron soma equations fo...
This dissertation describes a new model and a new approach to study the dynamics of artificial neura...
We investigated novel artificial model neurons with similar capabilities to the biological neuron\u2...
A CMOS circuit is proposed that emulates FitzHugh-Nagumo's differential equations using OTAs, diode ...
The mathematical neuron basic cells used as basic cells in popular neural network architectures and ...
This paper describes CMOS circuits generating arbitrary chaotic signals. The proposed circuits imple...
Neural networks typically use an abstraction of the behaviour of a biological neuron, in which the ...
The distinctive switching spikes seen in single memristors are suppressed in networks of memristors....
In this work, we present an original implementation of a circuit to perform the analog simulation of...
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
This paper presents the use of analog integrated circuits for secure communication based on chaos sy...
Simulation of large-scale nonlinear dynamical systems on hardware with a high resemblance to their m...
Information processing in the brain takes place in a dense network of neurons connected through syna...
International audienceAs Moore's law reaches its end, traditional computing technology based on the ...