This final year project is about the VLSI implementation of a neuron. It introduces the development of silicon neuron and presents the circuit of Axon-hillock for the Integrate-and-Fire model. On the aspect of neuron, the function and the operation of a nerve cell are talked about. And the electrical operation such as the power supply and the concept of action potential is also mentioned. On the aspect of circuit, the Ingrate-and-Fire model for neuron is talked about. And the analysis of the circuit with the help of the simulation software Cadence is presented.Bachelor of Engineerin
Goser K, Hilleringmann U, Rückert U, Schumacher K. VLSI Technologies for Artificial Neural Networks....
Abstract — This paper presents an analogue integrated circuit implementation of a cortical neuron mo...
A compact neural network architecture using a hybrid digital-analog design is implemented in Very La...
Hardware implementations of spiking neurons can be extremely useful for a large variety of applicati...
Hardware implementations of spiking neurons can be extremely useful for a large variety of applicati...
By combining neurophysiological principles with silicon engineering, we have produced an analog inte...
International audienceA VLSI implementation of a Silicon-Controlled Rectifier (SCR)-based Neuron tha...
In this paper we present the design, implementation and preliminary results from a silicon neuron (S...
The investigation of neuron structures is an incredibly difficult and complex task that yields relat...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
An integrated circuit implementation of a silicon neuron was designed, manufactured, and tested. The...
Ces travaux ont été menés dans le cadre du projet européen FACETS-ITN. Nous avons contribué à la sim...
Abstract —A complete derivation of neuron model is presented, starting with the description of the f...
The mathematical neuron basic cells used as basic cells in popular neural network architectures and ...
Indiveri G, Chicca E. A VLSI neuromorphic device for implementing spike-based neural networks. Prese...
Goser K, Hilleringmann U, Rückert U, Schumacher K. VLSI Technologies for Artificial Neural Networks....
Abstract — This paper presents an analogue integrated circuit implementation of a cortical neuron mo...
A compact neural network architecture using a hybrid digital-analog design is implemented in Very La...
Hardware implementations of spiking neurons can be extremely useful for a large variety of applicati...
Hardware implementations of spiking neurons can be extremely useful for a large variety of applicati...
By combining neurophysiological principles with silicon engineering, we have produced an analog inte...
International audienceA VLSI implementation of a Silicon-Controlled Rectifier (SCR)-based Neuron tha...
In this paper we present the design, implementation and preliminary results from a silicon neuron (S...
The investigation of neuron structures is an incredibly difficult and complex task that yields relat...
Continuous improvements in the VLSI domain have enabled the technology to mimic the neuro biological...
An integrated circuit implementation of a silicon neuron was designed, manufactured, and tested. The...
Ces travaux ont été menés dans le cadre du projet européen FACETS-ITN. Nous avons contribué à la sim...
Abstract —A complete derivation of neuron model is presented, starting with the description of the f...
The mathematical neuron basic cells used as basic cells in popular neural network architectures and ...
Indiveri G, Chicca E. A VLSI neuromorphic device for implementing spike-based neural networks. Prese...
Goser K, Hilleringmann U, Rückert U, Schumacher K. VLSI Technologies for Artificial Neural Networks....
Abstract — This paper presents an analogue integrated circuit implementation of a cortical neuron mo...
A compact neural network architecture using a hybrid digital-analog design is implemented in Very La...