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01/23/2023
Learning Reservoir Dynamics with Temporal Self-Modulation
Reservoir computing (RC) can efficiently process time-series data by tra...
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11/12/2022
Hibikino-Musashi@Home 2022 Team Description Paper
Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based ...
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11/09/2022
Hibikino-Musashi@Home 2018 Team Description Paper
Our team, Hibikino-Musashi@Home (the shortened name is HMA), was founded...
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06/18/2021
Effects of VLSI Circuit Constraints on Temporal-Coding Multilayer Spiking Neural Networks
The spiking neural network (SNN) has been attracting considerable attent...
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05/29/2020
Hibikino-Musashi@Home 2019 Team Description Paper
Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based ...
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05/29/2020
Hibikino-Musashi@Home 2020 Team Description Paper
Our team, Hibikino-Musashi@Home (HMA), was founded in 2010. It is based ...
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01/08/2020
A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design
Spiking neural networks (SNNs) are brain-inspired mathematical models wi...
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11/14/2019
An Efficient Hardware-Oriented Dropout Algorithm
This paper proposes a hardware-oriented dropout algorithm, which is effi...
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10/16/2018
A Time-domain Analog Weighted-sum Calculation Model for Extremely Low Power VLSI Implementation of Multi-layer Neural Networks
A time-domain analog weighted-sum calculation model is proposed based on...
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11/15/2017
