Zobrazeno 1 - 10
of 202
pro vyhledávání: '"Dong, Yiting"'
Event data captured by Dynamic Vision Sensors (DVS) offers a unique approach to visual processing that differs from traditional video capture, showcasing its efficiency in dynamic and real-time scenarios. Despite advantages such as high temporal reso
Externí odkaz:
http://arxiv.org/abs/2405.18880
This paper presents a novel approach leveraging Spiking Neural Networks (SNNs) to construct a Variational Quantized Autoencoder (VQ-VAE) with a temporal codebook inspired by hippocampal time cells. This design captures and utilizes temporal dependenc
Externí odkaz:
http://arxiv.org/abs/2405.14474
Autor:
Shen, Guobin, Zhao, Dongcheng, He, Xiang, Feng, Linghao, Dong, Yiting, Wang, Jihang, Zhang, Qian, Zeng, Yi
Decoding non-invasive brain recordings is pivotal for advancing our understanding of human cognition but faces challenges due to individual differences and complex neural signal representations. Traditional methods often require customized models and
Externí odkaz:
http://arxiv.org/abs/2404.19438
Autor:
Zeng, Yi, Zhao, Feifei, Zhao, Yuxuan, Zhao, Dongcheng, Lu, Enmeng, Zhang, Qian, Wang, Yuwei, Feng, Hui, Zhao, Zhuoya, Wang, Jihang, Kong, Qingqun, Sun, Yinqian, Li, Yang, Shen, Guobin, Han, Bing, Dong, Yiting, Pan, Wenxuan, He, Xiang, Bao, Aorigele, Wang, Jin
The question "Can machines think?" and the Turing Test to assess whether machines could achieve human-level intelligence is one of the roots of AI. With the philosophical argument "I think, therefore I am", this paper challenge the idea of a "thinkin
Externí odkaz:
http://arxiv.org/abs/2402.18784
Efficient parallel computing has become a pivotal element in advancing artificial intelligence. Yet, the deployment of Spiking Neural Networks (SNNs) in this domain is hampered by their inherent sequential computational dependency. This constraint ar
Externí odkaz:
http://arxiv.org/abs/2402.00449
Within the complex neuroarchitecture of the brain, astrocytes play crucial roles in development, structure, and metabolism. These cells regulate neural activity through tripartite synapses, directly impacting cognitive processes such as learning and
Externí odkaz:
http://arxiv.org/abs/2312.07625
The evolution of the human brain has led to the development of complex synaptic plasticity, enabling dynamic adaptation to a constantly evolving world. This progress inspires our exploration into a new paradigm for Spiking Neural Networks (SNNs): a P
Externí odkaz:
http://arxiv.org/abs/2308.12063
The prevalence of violence in daily life poses significant threats to individuals' physical and mental well-being. Using surveillance cameras in public spaces has proven effective in proactively deterring and preventing such incidents. However, conce
Externí odkaz:
http://arxiv.org/abs/2306.11546
Spiking neural networks have gained significant attention due to their brain-like information processing capabilities. The use of surrogate gradients has made it possible to train spiking neural networks with backpropagation, leading to impressive pe
Externí odkaz:
http://arxiv.org/abs/2305.14174
The biological neural network is a vast and diverse structure with high neural heterogeneity. Conventional Artificial Neural Networks (ANNs) primarily focus on modifying the weights of connections through training while modeling neurons as highly hom
Externí odkaz:
http://arxiv.org/abs/2305.11484