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Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention. (arXiv:2211.06027v1 [cs.AI])
Nov. 14, 2022, 2:14 a.m. | Hao Zheng, Hui Lin, Rong Zhao, Luping Shi
cs.CV updates on arXiv.org arxiv.org
The binding problem is one of the fundamental challenges that prevent the
artificial neural network (ANNs) from a compositional understanding of the
world like human perception, because disentangled and distributed
representations of generative factors can interfere and lead to ambiguity when
complex data with multiple objects are presented. In this paper, we propose a
brain-inspired hybrid neural network (HNN) that introduces temporal binding
theory originated from neuroscience into ANNs by integrating spike timing
dynamics (via spiking neural networks, SNNs) with …
More from arxiv.org / cs.CV updates on arXiv.org
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