Abstract —A complete derivation of neuron model is presented, starting with the description of the fundamental biological mechanisms involved in the living neural cell, followed by the mathematical model formulation extracted from these mechanisms, and a circuit theory technique to obtain a physical IC suitable circuit that emulates the derived mathematical equations culminating with the presentation of the experimental results of a chip fabricated in a 2-pm double-metal, double-poly CMOS process. It is emphasized that the FitzHugh-Nagumo model is very adequate for emulation of small biological systems. A reduced complexity oscillatory model suitable for implementation of relatively large neural network architectures is also introduced with...
The efficient modeling, simulation, and implementation of biological neural networks are key objecti...
Thesis (Ph.D. (Electrical and Electronic Engineering))--North-West University, Potchefstroom Campus,...
Neurons, the cells in the brain which are thought to handle information processing, are extremely co...
A CMOS circuit is proposed that emulates FitzHugh-Nagumo's differential equations using OTAs, diode ...
For investigation into neurodynamical systems FitzHugh-Nagumo model is often suggested. One neuron c...
This thesis formulates and evaluates a mathematical model from an engineer's point of view base...
A few individual design examples of programmable device-based biological neuron model implementation...
The mathematical neuron basic cells used as basic cells in popular neural network architectures and ...
A new conceptual framework and a minimization principle together provide an understanding of computa...
We have used analog VLSI technology to model a class of biological neural circuits known as central ...
This final year project is about the VLSI implementation of a neuron. It introduces the development ...
(a) Simplified model of a biological neuron: The main body of the neuron receives input from many ot...
In this work, we present an original implementation of a circuit to perform the analog simulation of...
Abstract — This paper presents an analogue integrated circuit implementation of a cortical neuron mo...
This work presents an emulator that has been developed for real-time algorithm and architecture expl...
The efficient modeling, simulation, and implementation of biological neural networks are key objecti...
Thesis (Ph.D. (Electrical and Electronic Engineering))--North-West University, Potchefstroom Campus,...
Neurons, the cells in the brain which are thought to handle information processing, are extremely co...
A CMOS circuit is proposed that emulates FitzHugh-Nagumo's differential equations using OTAs, diode ...
For investigation into neurodynamical systems FitzHugh-Nagumo model is often suggested. One neuron c...
This thesis formulates and evaluates a mathematical model from an engineer's point of view base...
A few individual design examples of programmable device-based biological neuron model implementation...
The mathematical neuron basic cells used as basic cells in popular neural network architectures and ...
A new conceptual framework and a minimization principle together provide an understanding of computa...
We have used analog VLSI technology to model a class of biological neural circuits known as central ...
This final year project is about the VLSI implementation of a neuron. It introduces the development ...
(a) Simplified model of a biological neuron: The main body of the neuron receives input from many ot...
In this work, we present an original implementation of a circuit to perform the analog simulation of...
Abstract — This paper presents an analogue integrated circuit implementation of a cortical neuron mo...
This work presents an emulator that has been developed for real-time algorithm and architecture expl...
The efficient modeling, simulation, and implementation of biological neural networks are key objecti...
Thesis (Ph.D. (Electrical and Electronic Engineering))--North-West University, Potchefstroom Campus,...
Neurons, the cells in the brain which are thought to handle information processing, are extremely co...