Digital-to-analog converts utilizing neuron MOS-transistors were designed. Different DACs were implemented and characterized in order to compare various topologies. Criteria to select structures were low power, fast performance and minimal silicon area. A basic 8-bit version is implemented with only one neuron MOS-transistor and eight capacitors. The silicon area of this D/A converter is only 0.04 mm2 and the power consumption is 8.4 mW with conversion speed of 200 MS/s. An enhanced 8 and 10 bit versions utilizing neuron PMOS transistor and some extra circuitry are also proposed and tested. The silicon area of the enhanced 10 bit circuit is only 0.03mm2 while the performance is as good as in the case of the basic version. The measured diffe...
In this paper, a new A D converter architecture is proposed which includes the benefits of the neura...
Efficient Analog-Digital Converters (ADC) are one of the mainstays of mixed-signal integrated circui...
Abstract—We report the design of an ultra-low-power 32-channel neural-recording integrated circuit (...
Digital-to-analog converts utilizing neuron MOS-transistors were designed. Different DACs were imple...
Digital-to-analog converts utilizing neuron MOS-transistors were designed. A 8-bit version is implem...
The neuron MOS transistor is a recently discovered device which is capable of executing a weighted s...
Abstract — The paper presents experimental demonstration of 6-bit digital-to-analog (DAC) and 4-bit ...
Analog to digital converter (ADC) is an important building block for modern electronic design. There...
Semiconductor technology advancement continues to lead to smaller device geometries. Digital circuit...
Semiconductor technology advancement continues to lead to smaller device geometries. Digital circuit...
Improved structures for neuron MOSFETs, which can execute a weighted summation of multiple input sig...
A design of low-power 32-channel neural recording system with on-chip high-resolution A/D converters...
A digital system is proposed for low power 100- channel neural recording system in this paper, which...
This paper deals with an improved neural based analog to digital converter. New architecture is prop...
Neuromorphic circuits aim at emulating biological spiking neurons in silicon hardware. Neurons can b...
In this paper, a new A D converter architecture is proposed which includes the benefits of the neura...
Efficient Analog-Digital Converters (ADC) are one of the mainstays of mixed-signal integrated circui...
Abstract—We report the design of an ultra-low-power 32-channel neural-recording integrated circuit (...
Digital-to-analog converts utilizing neuron MOS-transistors were designed. Different DACs were imple...
Digital-to-analog converts utilizing neuron MOS-transistors were designed. A 8-bit version is implem...
The neuron MOS transistor is a recently discovered device which is capable of executing a weighted s...
Abstract — The paper presents experimental demonstration of 6-bit digital-to-analog (DAC) and 4-bit ...
Analog to digital converter (ADC) is an important building block for modern electronic design. There...
Semiconductor technology advancement continues to lead to smaller device geometries. Digital circuit...
Semiconductor technology advancement continues to lead to smaller device geometries. Digital circuit...
Improved structures for neuron MOSFETs, which can execute a weighted summation of multiple input sig...
A design of low-power 32-channel neural recording system with on-chip high-resolution A/D converters...
A digital system is proposed for low power 100- channel neural recording system in this paper, which...
This paper deals with an improved neural based analog to digital converter. New architecture is prop...
Neuromorphic circuits aim at emulating biological spiking neurons in silicon hardware. Neurons can b...
In this paper, a new A D converter architecture is proposed which includes the benefits of the neura...
Efficient Analog-Digital Converters (ADC) are one of the mainstays of mixed-signal integrated circui...
Abstract—We report the design of an ultra-low-power 32-channel neural-recording integrated circuit (...