Circuits of threshold elements ( Boolean input, Boolean output neurons ) have been shown to be surprisingly powerful. Useful functions such as XOR, ADD and MULTIPLY can be implemented by such circuits more efficiently than by traditional AND/OR circuits. In view of that, we have designed and built a programmable threshold element. The weights are stored on polysilicon floating gates, providing long-term retention without refresh. The weight value is increased using tunneling and decreased via hot electron injection. A weight is stored on a single transistor allowing the development of dense arrays of threshold elements. A 16-input programmable neuron was fabricated in the standard 2 μm double - poly, analog process available from MOSIS. A l...
abstract: Threshold logic has been studied by at least two independent group of researchers. One gro...
The main result of this paper is the development of a systematic paper-and-pencil design methodology...
The authors introduce a restricted model of a neuron which is more practical as a model of computati...
Circuits of threshold elements ( Boolean input, Boolean output neurons ) have been shown to be surpr...
Circuits of threshold elements (Boolean input, Boolean output neurons) have been shown to be surpris...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in...
Circuits of threshold elements ( Boolean input, Boolean output neurons ) have been shown to be surpr...
We introduce a new Boolean computing element related to the Linear Threshold element, which is the B...
We introduce a new Boolean computing element related to the Linear Threshold element, which is the B...
Abstract. This paper discusses some aspects regarding the use of uni-versal linear threshold element...
We examine the power of constant depth circuits with sigmoid (i.e. smooth) threshold gates for compu...
The neuronal algorithms process the information coming from the natural environment in analog domain...
We introduce a new Boolean computing element related to the Boolean version of a neural element. Ins...
We introduce a new Boolean computing element, related to the Boolean version of a neural element. In...
AbstractThe neuronal algorithms process the information coming from the natural environment in analo...
abstract: Threshold logic has been studied by at least two independent group of researchers. One gro...
The main result of this paper is the development of a systematic paper-and-pencil design methodology...
The authors introduce a restricted model of a neuron which is more practical as a model of computati...
Circuits of threshold elements ( Boolean input, Boolean output neurons ) have been shown to be surpr...
Circuits of threshold elements (Boolean input, Boolean output neurons) have been shown to be surpris...
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in...
Circuits of threshold elements ( Boolean input, Boolean output neurons ) have been shown to be surpr...
We introduce a new Boolean computing element related to the Linear Threshold element, which is the B...
We introduce a new Boolean computing element related to the Linear Threshold element, which is the B...
Abstract. This paper discusses some aspects regarding the use of uni-versal linear threshold element...
We examine the power of constant depth circuits with sigmoid (i.e. smooth) threshold gates for compu...
The neuronal algorithms process the information coming from the natural environment in analog domain...
We introduce a new Boolean computing element related to the Boolean version of a neural element. Ins...
We introduce a new Boolean computing element, related to the Boolean version of a neural element. In...
AbstractThe neuronal algorithms process the information coming from the natural environment in analo...
abstract: Threshold logic has been studied by at least two independent group of researchers. One gro...
The main result of this paper is the development of a systematic paper-and-pencil design methodology...
The authors introduce a restricted model of a neuron which is more practical as a model of computati...