Results 11 to 20 of about 1,932,979 (312)

Spikformer: When Spiking Neural Network Meets Transformer [PDF]

International Conference on Learning Representations, 2022
We consider two biologically plausible structures, the Spiking Neural Network (SNN) and the self-attention mechanism. The former offers an energy-efficient and event-driven paradigm for deep learning, while the latter has the ability to capture feature ...
Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Liuliang Yuan   +6 more
semanticscholar   +1 more source

Spiking Neural Network Model for Brain-like Computing and Progress of Its Learning Algorithm [PDF]

Jisuanji kexue, 2023
With the increasingly prominent limitations of deep neural networks in practical applications,brain-like computing spiking neural networks with biological interpretability have become the focus of research.The uncertainty and complex diversity of ...
HUANG Zenan, LIU Xiaojie, ZHAO Chenhui, DENG Yabin, GUO Donghui
doaj   +1 more source

Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network

Frontiers in Computational Neuroscience, 2023
Although it may appear infeasible and impractical, building artificial intelligence (AI) using a bottom-up approach based on the understanding of neuroscience is straightforward.
Ik Hwan Jeon, Taegon Kim
semanticscholar   +1 more source

Deep problems with neural network models of human vision [PDF]

Behavioral and Brain Sciences, 2022
Deep neural networks (DNNs) have had extraordinary successes in classifying photographic images of objects and are often described as the best models of biological vision.
J. Bowers, Gaurav Malhotra, M. Dujmović, Milton Llera Montero, Christian Tsvetkov, Valerio Biscione, Guillermo Puebla, Federico Adolfi, J. Hummel, Rachel Heaton, B. D. Evans, J. Mitchell, R. Blything   +12 more
semanticscholar   +1 more source

An Overview of In Vitro Biological Neural Networks for Robot Intelligence

Cyborg and Bionic Systems, 2023
In vitro biological neural networks (BNNs) interconnected with robots, so-called BNN-based neurorobotic systems, can interact with the external world, so that they can present some preliminary intelligent behaviors, including learning, memory, robot ...
Zhe Chen, Qian Liang, Zihou Wei, Xie Chen, Qing Shi, Zhiqiang Yu, Tao Sun   +6 more
semanticscholar   +1 more source

Emotional brain network decoded by biological spiking neural network

Frontiers in Neuroscience, 2023
IntroductionEmotional disorders are essential manifestations of many neurological and psychiatric diseases. Nowadays, researchers try to explore bi-directional brain-computer interface techniques to help the patients.
Hubo Xu, Hubo Xu, Kexin Cao, Kexin Cao, Hongguang Chen, Awuti Abudusalamu, Awuti Abudusalamu, Wei Wu, Yanxue Xue, Yanxue Xue, Yanxue Xue   +10 more
doaj   +1 more source

Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method

Advances in Multimedia, 2021
Biological neural network system is a complex nonlinear dynamic system, and research on its dynamics is an important topic at home and abroad. This paper briefly introduces the dynamic characteristics and influencing factors of the neural network system,
Hongyan Chen
doaj   +1 more source

Artificial Neural Networks [PDF]

, 2017
Artificial Neural Network is a mathematical model, made in the form of software or hardware, built on the principle of biological neural networks of living cells. The neural network is a system of connected processors interacting with each other.
Gulko, Illya, Ivanchenko, I.A., Kirichenko, V.E.   +2 more
core   +5 more sources

Towards a robust out-of-the-box neural network model for genomic data

BMC Bioinformatics, 2022
Background The accurate prediction of biological features from genomic data is paramount for precision medicine and sustainable agriculture. For decades, neural network models have been widely popular in fields like computer vision, astrophysics and ...
Zhaoyi Zhang, Songyang Cheng, Claudia Solis-Lemus   +2 more
doaj   +1 more source

Spiking Neural Networks and Their Applications: A Review

Brain Sciences, 2022
The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs.
Kashu Yamazaki, Viet-Khoa Vo-Ho, Darshan Bulsara, Ngan Le   +3 more
doaj   +1 more source