Neurocomputational models hold that individual episodic memories are represented by a sparse, pattern-separated coding scheme in the hippocampus. Animal studies further suggest that the allocation of ...

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, ...

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 ...

Neuromorphic sensors leverage brain signaling principles for proprioceptive sensing, achieving low power consumption and rapid environmental responsiveness.