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This edited volume brings together cutting‑edge research at the intersection of statistical signal processing and neural computation. It explores how advanced signal‑processing techniques and models used in engineering can be applied to understand brain function — and vice versa — covering topics such as computational models of perception, blind signal processing, learning algorithms, graphical/network models, information transmission in noisy environments, and machine learning approaches inspired by biological neural systems.

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245: $a: New Directions in Statistical Signal Processing: From Systems to Brains
245: $b:
082: $a:
100: $a: Simon Haykin & José C. Príncipe & Terrence J. Sejnowski & John McWhirter
650: $a: Signal Processing
250: $a:
440: $v:
250: $b: The MIT Press​
250: $c: 2006
020: $a: 9780262083485
300: $a: 544