Neuromorphic sensors leverage brain signaling principles for proprioceptive sensing, achieving low power consumption and rapid environmental responsiveness.
Independent component analysis (ICA) and dictionary learning (DL) are the most successful blind source separation (BSS) methods for functional magnetic resonance imaging (fMRI) data analysis. However, ...
We show, based on the following three grounds, that the primary visual cortex (V1) is a biological direct-shortcut deep residual learning neural network (ResNet) for sparse visual processing: (1) We ...
The Sparse (SPiking And Recurrent SoftwarE) Coding Lab at Drexel’s College of Computing & Informatics explores AI frameworks that mimic how the mammalian brain senses and understands the world. The ...
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