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By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Discusses the challenges and future of neuromorphic computing, comparing digital computers and specialized hardware, such as SpiNNaker and NEST, while exploring the Human Brain Project's Neuromorphic Computing Platform.
Covers neuromodulation therapies designed to restore walking in individuals with spinal cord injuries and explores their implications for other neurological disorders.
Covers neurophysiological data analysis, including AP detection, firing rate computation, and spectral analysis, with a focus on predicting cell classes.
Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
