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From Thermodynamics of Computation
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| The main articles states: "we should be able to develop the tools necessary both for analyzing thermodynamic costs in biological systems and for engineering next-generation computers". There is a list of references on this site, but here are some additional references, with comments: The book by Sterling and Laughlin is particularly relevant. Bialek, W (2012). Biophysics. A comprehensive and rigorous account of the physics which underpins biological processes, including neuroscience and morphogenesis. Bialek adopts the information- theoretic approach which was so successfully applied in his previous book, Spikes. The writing style is fairly informal, but this book assumes a high level of mathematical competence. Highly recommended. Reza, FM (1961). An Introduction to Information Theory. Comprehensive and mathematically rigorous, with a reasonably geometric approach. Rieke, F, Warland, D, de Ruyter van Steveninck, RR, and Bialek, W (1997). Spikes: Exploring the Neural Code. The first modern text to formulate questions about the functions of single neurons in terms of information theory. Superbly written in a tutorial style, well argued, and fearless in its pursuit of solid answers to hard questions. Research papers by these authors are highly recommended for their clarity. Sterling, P and Laughlin, S (2015). Principles of Neural Design. Comprehensive and detailed account of how information theory constrains the design of neural systems. Sterling and Laughlin interpret physiological findings from a wide range of organisms in terms of a single unifying framework: Shannon’s mathematical theory of information. A remarkable book, highly recommended. Stone, JV (2018). Principles of Neural Information Theory Computational Neuroscience and Metabolic Efficiency. Whereof one cannot speak ... Zhaoping, L (2014). Understanding Vision: Theory, Models, and Data. Contemporary account of vision based mainly on the efficient coding hypothesis. Even though this book is technically demanding, the introductory chapters give a good overview of the approach. Tutorial Material Byrne, JH, Neuroscience Online, McGovern Medical School University of Texas. <nowiki>http://neuroscience.uth.tmc.edu/index.htm</nowiki>. Laughlin, SB (2006). The Hungry Eye: Energy, Information and Retinal Function. <nowiki>http://www.crsltd.com/guest-talks/crs-guest-lecturers/simon-laughlin</nowiki>. Stone, JV (2015). Information Theory: A Tutorial Introduction. Sebtel Press. Jim Stone 14th Oct 2018. | biophysics and computation | Jvstone | Jvstone | Oct 14 at 11:21 am | Oct 14 at 11:27 am | Neural Information Theory | 0 | ||
| with '''VE''' | test comment | Wikiworks | Oct 7 at 4:40 am | 0 | |||||
| Very enlightening. | Great meeting! | Wikiworks | Mar 14 at 4:42 pm | 0 | |||||
| with text! | Another comment | Wikiworks | Wikiworks | Mar 14 at 4:34 pm | Mar 14 at 4:34 pm | Santa Fe Institute Collaboration Platform:Extension tests | 0 | ||
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