N. Kimura
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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: 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…