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

Summary: The probability that a system should have an equilibrium cannot be deduced from the probabilities of the parts being in equilibrium. The case where they combine as a product is likely to be common and important but it must be introduced as a specific postulate. Cortex, sensory layering in Dispersion and layering in Summary: The layering of the cerebral cortex may be explained as required for wide distribution. 1625 1626

Dispersion examples Constancy and network Network cut up by constancies Part-function in network 3305 3306

Summary: The animal reacts to all its surroundings. Retroactive inhibition and the theory of interaction in a Multistable System. Dispersion control of Multistable reserve origin demonstrated The Multistable System [95]: Dispersion depends on 'neutral' as well as on the active variables, 3459. Summary: Let DAMS keep moving. DAMS (Dispersive and Multistable System) [28]: When DAMS is being demonstrated, let it be increasingly slightly disturbed, 3460. 3459 3460

Summary: Haldane's book. Summary: Example of dispersion. Dispersion in motor cortex Equilibrium number of states DAMS (Dispersive and Multistable System) [33]: Number of resting states in DAMS, 3504. 3503 3504

Summary: Getting dispersion. 3870 Dispersion to change 3601 3602

Summary: Calculations on dispersion. The Multistable System [26]: Number of variables necessary for multi-stability, 3637. DAMS (Dispersive and Multistable System) [49]: DAMS is too small to show multistability 3637. Dispersion in olfactory system 3637 3638

Summary: Habituation. 3837, 3842, 3856, 4526 Dispersion defined by information Independence definition Information and independence and dispersion Essential variables possible mode of action 3824 3825

Absolute system origin of Dispersion proved necessary Experimenter must have dispersion The Multistable System [94]: Dispersion proved necessary, 3851. 3850 3851

Summary: How to get the time of adaptation to be reduced by the machine automatically. (Also) An ad hoc design is equivalent to a feedback loop with selection amplifier. 4246 Coding in dispersion Dispersion can be learnt Selection amplifier Summary: The diagram is more general than it looks. Summary: Getting information from a system. Epistemology [15]: Entropy and observation, 4245. 4244 4245

Summary: The α-rhythm. Dispersion and alpha rhythm Summary: Speed of adaptation can be achieved only by trials and comparisons. Homeostasis basic theory Regulation basic theory DAMS (Dispersive and Multistable System) [88]: Speed of adaptation demands trials, 4385. 4384 4385

Summary: Magnification and dispersion from the point of view of information. 4422 Summary: If information is to be conserved, linearity must be achieved everywhere. Dispersion theory of Linear system importance The Multistable System [78]: Dispersion changes variety in value to variety in position. 4418. Psychiatric applications [23]: Messages heavily contaminated with noise may be best ignored. 4419. 4418 4419

Summary: What is necessary for the accumulation of adaptations. 5410, 5540, 5592, 5601, 5617, 5632, 5746 Dispersion proved necessary Dispersion redundant Redundancy in dispersion 5356 5357

Summary: Keeping things apart by giving them room to spread in is too wasteful. r things would require about r2 spaces. Dispersion amount of overlap The Multistable System [112]: Keeping reactions apart by giving them room to spread is costly in material and space. 5380. 5380 5381

Dispersion random dispersion useless Reducibility finding, while adapting Trial and error must not change dispersion Summary: Random dispersion will not achieve a useful degree of reducibility. 5619 5606 5607

Summary: Example of the coordination that exists at a state of equilibrium. 6350 Accumulation (of adaptations) may demand chance localisation Dispersion must be random (!) Gating necessary Localisation must be random Memory must be random Quotations [60]: Claude Bernard, 6165. 6164 6165

Summary: Construction to get many compact confluents. 6347, 6362.9 Dispersion small confluents Summary: Convergence to equilibrium in Markov chain. Convergence (of lines of behaviour) Markov non-convergence Equilibrium even distribution, Markov Markov process / chain convergence (or bunching) 6344 6345