Ross indexed the following pages under the keyword: "Entropy".

Adaptation essential nature of Dominance Entropy in physiology Levels and alcohol Stimulus essential property of Dominance of receptors Neuron gradient in Receptors and gradients Synapse phylogeny of Waves in nerve impulse 0151 0152

Entropy ? validity of Intelligence basic of Nirvanophilia basis of Perceptron Inhibition in retina Integration (physiological) extract from Creed Receptors integration in Retina essential light of retina Sensation integration in Vision 0313 0314

Entropy ? validity of Organisation and entropy Reversible process and entropy Time and entropy 0345 0346

Entropy ? validity of Organisation Fulton on 0351 0352

Entropy ? validity of Equilibrium Neutral point (of equilibrium - including 'cycle', 'region' etc.) moving Organisation and entropy Reversible process and entropy Energy free energy 0359 0360

Cortex spread of organisation Entropy ? validity of Organisation spread of Equilibrium of a neuron Equilibrium physical characteristics Neuron as a stable unit Neuron environment of 0589 0590

Entropy and learning Equilibrium and entropy paradox Learning and entropy Reversible process and learning Organisation spread of 0813 0814

Entropy and organisation Organisation and entropy Organisation two meanings 0879 0880

Entropy and sensory adaptation Differential equation turned to operator Group (mathematical) and machine Isomorphism in machine Operator = differential equation Substitution (mathematical) as differential equation 0917 0918

Entropy Schrödinger on Natural Selection [41]: A gene has two survival-values, its chance of being destroyed by a competitor, and its chance of being destroyed by thermal agitation, 1913. 1913 1914

Entropy calculation of Information calculation of Markov process / chain information from Transducer theory of 3368 3369

Summary: Judge the difficulty of "Design for a Brain" by the comprehension shown by the average worker in EEG. Adjust the difficulty so that almost all such workers show comprehension. Energy notes on Entropy in physics Hover mouse here to display note 4090 4091

Summary: Entropy etc. Entropy dimensions of Set or Ensemble in experimenter 4094 4095

Entropy limit of Transformation Monograph Transformation Monograph 4346 4347

Summary: Information that can come from a machine. Graph definition Machine falls in capacity Epistemology [22]: Estimates of how fast knowledge can be got from a machine 4430. Entropy and information 4430 4431

Entropy computing Information computing Summary: Computing entropy. 4444 4445

Summary: Formal proof that, if a set is stable, no state in it can lead ever to a state outside the set. Summary: Power for adaptation. (See next page) 4583 Adaptation motive power for Entropy as prime mover 4536 4537

Homeostasis variety is necessary Regulation variety is necessary Requisite Variety, Law of stated Summary: Only variation can force variation down - exact conditions necessary. 4662, 4674, 4750 Entropy necessary for regulation Output variety in Variety necessary for regulation 4658 4659

Summary: Entropy and information. Entropy as missing information 4666 4667

Summary: Statistical laws in the Markov chain. 4919, 4946 Basin and 'closure' Closure and 'basin' Experience example Aging (as process) and entropy Entropy in physics 4918 4919

Summary: Effects of channel capacity in joining two systems, only one of which is observed. Epistemology [49]: As the coupling between B and A is made richer, either by increasing channel capacity or by adding immediate effects, so will what is in B affect x the sooner. 5026. DIAGRAM Entropy during search Hunt and stick information flow Information during hunt and stick Searching information flow Selection informatiom flow Trial and error gives information 5026 5027

Entropy and organisation, in cream Organisation and entropy Summary: The problem of the glass of milk. 5110 5111

Entropy zero entropy Homeostasis as noise-correction Noise homeostasis as anti-noise Requisite Variety, Law of as noise-correction Summary: Law of Requisite Variety as law for suppression of noise. Feedback and persistance Quantum theory and Black Box 5242 5243

Summary: No regulator (other things being equal) can give performance better than the machine with input. Entropy zero entropy Markov process / chain of zero entropy 6160 6161

Summary: The "mesa" phenomenon as decay of information. But see 6784 Entropy second law and heterogeneity Thermodynamics second law 6644 6645

Entropy fall in state-determined-system Constraint increase with time Laws of nature increase with time Pattern (in general) increase with time Planet growth of law on Steady state on planet, and law Time makes law increase 6772 6773

Summary: When a mapping operates (a state-determined system) either: activity goes down or internal pattering increases. 6850, 6835. Examples: 6854 Summary: Under any (one) sequence of mappings either activity decreases or internal patterning increases. 6777 Convergence (of lines of behaviour) random Entropy rate of fall Mapping random, convergence 6774 6775

Summary: The Poisson distribution has entropy (just under) 1 bit less than the even distribution. 6780, 6814 Summary: Entropy of ½ ± y. Entropy H(½+y,½-y) 6776 6777

Summary: Under a random mapping, the internal transmission will rise rapidly at first, as the distribution leaves the rectangular form; but it will soon stop increasing, and can be expected to show no further interesting degree of increase. 6802 Entropy Bent's book Second Law (of thermodynamics) Bent's book 6784 6785

Summary: Another example of the relativity of memory. Entropy non-exclusive events 6794 6795

Summary: How the deletion of one arrow from a full DIE (diagram of immediate effects) makes the number of possible mappings fall. 6884 Summary: Deletion of the DIE-arrows does not imply that the convergence must increase necessarily. Entropy sampling distribution of 6806 6807

Summary: (See previous note) Summary: On consciousness. Conscious mind proves physics insuffient Entropy Conant's HL Materialism inadequate 6924 6925

Summary: Morowitz' magnificent book. 7053 Entropy expected value Constraint permutation as Permutation constraint necessary Transmission for permutation 6982 6983

Summary: Communication required to keep a shoal of fish together. 7068, 7067, 7084 Entropy of Gaussian distribution Summary: Entropy of a Gaussian distribution. 7069 7066 7067