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  2. Cerebellar model articulation controller - Wikipedia

    en.wikipedia.org/wiki/Cerebellar_Model...

    Two quantising functions have been used to divide this space with two overlapping grids (one shown in heavier lines). A single input is shown near the middle, and this has activated two memory cells, corresponding to the shaded area. If another point occurs close to the one shown, it will share some of the same memory cells, providing ...

  3. One-instruction set computer - Wikipedia

    en.wikipedia.org/wiki/One-instruction_set_computer

    Only one of these instructions is used in a given implementation. Hence, there is no need for an opcode to identify which instruction to execute; the choice of instruction is inherent in the design of the machine, and an OISC is typically named after the instruction it uses (e.g., an SBN OISC, [2]: 41 the SUBLEQ language, [3]: 4 etc.). Each of ...

  4. Turing machine - Wikipedia

    en.wikipedia.org/wiki/Turing_machine

    At each step of its operation, the head reads the symbol in its cell. Then, based on the symbol and the machine's own present state, the machine writes a symbol into the same cell, and moves the head one step to the left or the right, [6] or halts the computation. The choice of which replacement symbol to write, which direction to move the head ...

  5. Universal approximation theorem - Wikipedia

    en.wikipedia.org/wiki/Universal_approximation...

    Also, certain non-continuous activation functions can be used to approximate a sigmoid function, which then allows the above theorem to apply to those functions. For example, the step function works. In particular, this shows that a perceptron network with a single infinitely wide hidden layer can approximate arbitrary functions.

  6. Time hierarchy theorem - Wikipedia

    en.wikipedia.org/wiki/Time_hierarchy_theorem

    Notice here that this is a time-class. It is the set of pairs of machines and inputs to those machines (M,x) so that the machine M accepts within f(|x|) steps. Here, M is a deterministic Turing machine, and x is its input (the initial contents of its tape). [M] denotes an input that encodes the Turing machine M. Let m be the size of the tuple ...

  7. Alternating Turing machine - Wikipedia

    en.wikipedia.org/wiki/Alternating_Turing_machine

    Consider the circuit minimization problem: given a circuit A computing a Boolean function f and a number n, determine if there is a circuit with at most n gates that computes the same function f. An alternating Turing machine, with one alternation, starting in an existential state, can solve this problem in polynomial time (by guessing a ...

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  9. Turing machine examples - Wikipedia

    en.wikipedia.org/wiki/Turing_machine_examples

    With regard to what actions the machine actually does, Turing (1936) [2] states the following: "This [example] table (and all succeeding tables of the same kind) is to be understood to mean that for a configuration described in the first two columns the operations in the third column are carried out successively, and the machine then goes over into the m-configuration in the final column."