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Neural decoding as a book category focuses on the science and practice of interpreting brain activity—how electrical, chemical, or imaging signals are translated into information about perceptions, intentions, thoughts, or actions. Volumes in this genre range from technical textbooks and research monographs (covering neural signal acquisition, preprocessing, spike sorting, statistical and machine‑learning decoding algorithms, and validation) to applied guides on brain–computer interfaces, neuroprosthetics, and clinical diagnostics, as well as popular science treatments that explain how scientists “read” neural codes. Books often emphasize interdisciplinary methods (neuroscience, engineering, statistics, cognitive science, and ethics), real-world applications (speech and motor decoding, visual reconstruction, brain stimulation), and the experimental and computational challenges of mapping neural activity to meaningful outputs. They may also address societal implications—privacy, consent, and bias—and include case studies, tutorials, and future-looking discussions of neurotechnology. Target readers range from students and researchers to clinicians, engineers, and informed lay readers curious about how brains are being translated into actionable signals.

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