Zolboo Byambadorj
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View article: CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing
CMOS Implementation of Field Programmable Spiking Neural Network for Hardware Reservoir Computing Open
The increasing complexity and energy demands of large-scale neural networks, such as Deep Neural Networks (DNNs) and Large Language Models (LLMs), challenge their practical deployment in edge applications due to high power consumption, are…
View article: Hardware-friendly implementation of physical reservoir computing with CMOS-based time-domain analog spiking neurons
Hardware-friendly implementation of physical reservoir computing with CMOS-based time-domain analog spiking neurons Open
This paper introduces an analog spiking neuron that utilizes time-domain information, i.e. a time interval of two signal transitions and a pulse width, to construct a spiking neural network (SNN) for a hardware-friendly physical reservoir …
View article: Taming Prolonged Ionic Drift–Diffusion Dynamics for Brain‐Inspired Computation
Taming Prolonged Ionic Drift–Diffusion Dynamics for Brain‐Inspired Computation Open
Recent advances in neural network‐based computing have enabled human‐like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional computers that operate at GHz c…
View article: Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons
Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons Open
This paper introduces an analog spiking neuron that utilizes time-domain information, i.e., a time interval of two signal transitions and a pulse width, to construct a spiking neural network (SNN) for a hardware-friendly physical reservoir…
View article: CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks
CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks Open
Conventional neural structures tend to communicate through analog quantities, such as currents or voltages; however, as CMOS devices shrink and supply voltages decrease, the dynamic range of voltage/current-domain analog circuits becomes n…
View article: CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks
CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks Open
Conventional neural structures tend to communicate through analog quantities such as currents or voltages, however, as CMOS devices shrink and supply voltages decrease, the dynamic range of voltage/current-domain analog circuits becomes na…
View article: High-Precision Sub-Nyquist Sampling System Based on Modulated Wideband Converter for Communication Device Testing
High-Precision Sub-Nyquist Sampling System Based on Modulated Wideband Converter for Communication Device Testing Open
This paper proposes a new method of constructing a compensation filter for the modulated wideband converter (MWC) system. The proposed method can be directly used in the MWC circuit without disconnecting any components. Furthermore, the no…
View article: A Calibration Technique for Simultaneous Estimation of Actual Sensing Matrix Coefficients on Modulated Wideband Converters
A Calibration Technique for Simultaneous Estimation of Actual Sensing Matrix Coefficients on Modulated Wideband Converters Open
The Modulated Wideband Converter (MWC) is one of the promising sub-Nyquist sampling architectures for sparse wideband signal sensing applications. Its frequency support detection and the reconstruction ability is well-defined through compr…
View article: Theoretical Analysis of Noise Figure for Modulated Wideband Converter
Theoretical Analysis of Noise Figure for Modulated Wideband Converter Open
The Modulated Wideband Converter (MWC) is one of the promising sub-Nyquist sampling architectures for sparse wideband signal sensing, cognitive radio applications and so on. In order to design an MWC-based RF receiver that meets a target R…