Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning

Understand

Hierarchical feature discovery using non-spiking convolutional neural networks (CNNs) has attracted much recent interest in machine learning and computer vision.

• However, it is still not well understood how to create a biologically plausible network of brain-like, spiking neurons with multi-layer, unsupervised learning.
• This paper explores a novel bio-inspired spiking CNN that is trained in a greedy, layer-wise fashion.
• The proposed network consists of a spiking convolutional-pooling layer followed by a feature discovery layer extracting independent visual features.