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

Cortex, sensory layering in Dispersion and layering in 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. 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

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

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

Dispersion to change Summary: Getting dispersion. 3870 3601 3602

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. Summary: Calculations on dispersion. Dispersion in olfactory system 3637 3638

Dispersion defined by information Independence definition Information and independence and dispersion Summary: Habituation. 3837, 3842, 3856, 4526 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

Coding in dispersion Dispersion can be learnt Selection amplifier 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 Epistemology [15]: Entropy and observation, 4245. Summary: The diagram is more general than it looks. Summary: Getting information from a system. 4244 4245

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

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

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

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

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. Summary: Example of the coordination that exists at a state of equilibrium. 6350 6164 6165

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