Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Discusses X-ray detectors' properties, sensitivity, and signal-to-noise ratio quantification, as well as systematic errors like flat field corrections.
Compares traditional amplitude-based sensor interfaces with a new time-based approach, showcasing the advantages of digital designs and potential for improved energy efficiency.