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Sparse Dynamic Binary Neural Networks for Storage and Switching of Binary Periodic Orbits

机译:用于存储和切换二进制周期轨道的稀疏动态二进制神经网络

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摘要

A sparse dynamic binary neural network is characterized by local binary connection and can exhibit various binary periodic orbits. First, we consider a condition of sparse connection parameters that guarantees storage and switching of binary periodic orbits. Second, we give two examples of the network that realize the storage and stitching of two periodic orbits related to insect gaits patterns. Presenting an FPGA-based hardware, typical phenomena are confirmed experimentally.
机译:稀疏动态二进制神经网络的特征在于局部二进制连接,并且可以表现出各种二进制周期性轨道。首先,我们考虑稀疏连接参数的条件,可确保存储和切换二进制周期性轨道。其次,我们提供了两个网络的示例,该示例实现了与昆虫GAS模式相关的两个周期性轨道的存储和缝合。提出基于FPGA的硬件,实验证实了典型的现象。

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