Zobrazeno 1 - 10
of 9 083
pro vyhledávání: '"spiking neural network"'
Autor:
Xin Liu
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-15 (2024)
Abstract This study presents an enhanced spiking neural network (SNN) with inhibition, referred to as Inhibition SNN, which advances the field of pattern recognition through efficient event-driven computation. We incorporate a winner-take-all (WTA) m
Externí odkaz:
https://doaj.org/article/090963f04f8b41e184b49aece4d4251a
Autor:
V. Suresh Kumar, Osamah Ibrahim Khalaf, Radha Raman Chandan, Qusay Bsoul, Shashi Kant Gupta, Firas Zawaideh, Deema Mohammed Alsekait, Diaa Salama AbdElminaam
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Robust verification protocols are crucial for maintaining the security and reliability of sensitive information due to the increasing complexity of cyber-attacks. This paper introduces a novel 5G Secure Handover Protocol aimed at addressing
Externí odkaz:
https://doaj.org/article/6fc96c2e9ef74c22b13d7d4d5ed4d970
Publikováno v:
ETRI Journal, Vol 46, Iss 5, Pp 865-877 (2024)
This paper presents a membrane computation error-minimized mixed-mode spiking neural network (SNN) crossbar array. Our approach involves imple-menting an embedded dummy switch scheme and a mid-node pre-charge scheme to construct a high-precision curr
Externí odkaz:
https://doaj.org/article/f7ddd1eb2f51412fb390eccb58edd96f
Publikováno v:
ETRI Journal, Iss 5, Pp 878-889 (2024)
To expand the scale of spiking neural networks (SNNs), an interface circuit that supports multiple SNN cores is essential. This circuit should be designed using an asynchronous approach to leverage characteristics of SNNs similar to those of the huma
Externí odkaz:
https://doaj.org/article/6a6d9daf711744a48791fc9d28df086a
Publikováno v:
Известия высших учебных заведений: Прикладная нелинейная динамика, Vol 32, Iss 5, Pp 589-605 (2024)
Purpose. Causal relationship recognition is a fundamental operation in neural networks aimed at learning behavior, action planning, and inferring external world dynamics. This operation is particularly crucial for reinforcement learning (RL). In the
Externí odkaz:
https://doaj.org/article/ce8c07821ab54c838435152ce95863f6
Autor:
Stasenko, Sergey Victorovich
Publikováno v:
Известия высших учебных заведений: Прикладная нелинейная динамика, Vol 32, Iss 5, Pp 670-690 (2024)
The purpose of this study is to develop and investigate a model of astrocytic regulation of burst dynamics of a spiking neural network with synaptic plasticity in inhibitory synapses. Methods. The “integrate and firing” model was used as a neuron
Externí odkaz:
https://doaj.org/article/c16a4741f6e64856bc6337133f914382
Publikováno v:
Journal of Social Computing, Vol 5, Iss 2, Pp 180-193 (2024)
The vast amount of data generated by large-scale open online course platforms provide a solid foundation for the analysis of learning behavior in the field of education. This study utilizes the historical and final learning behavior data of over 300
Externí odkaz:
https://doaj.org/article/f1511e0f89564d019086ec152d1a57a4
Autor:
Stasenko, Sergey Victorovich
Publikováno v:
Известия Саратовского университета. Новая серия Серия: Физика, Vol 24, Iss 2, Pp 138-149 (2024)
Background and Objectives: The purpose of this work is to study the influence of the extracellular matrix of the brain on the formation of burst dynamics of a spiking neural network. Materials and Methods: The Izhikevich neuron model was used as a ne
Externí odkaz:
https://doaj.org/article/a50fc48f8aed488fbd55631a42f77f5e
Autor:
Kumiko Nomura, Yoshifumi Nishi
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Spiking randomly connected neural network (RNN) hardware is promising as ultimately low power devices for temporal data processing at the edge. Although the potential of RNNs for temporal data processing has been demonstrated, randomness of the netwo
Externí odkaz:
https://doaj.org/article/d348b94c28be44328847a06572c3aae4