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  2. Neural coding - Wikipedia

    en.wikipedia.org/wiki/Neural_coding

    Neural coding. Neural coding (or neural representation) is a neuroscience field concerned with characterising the hypothetical relationship between the stimulus and the neuronal responses, and the relationship among the electrical activities of the neurons in the ensemble.

  3. Product key - Wikipedia

    en.wikipedia.org/wiki/Product_key

    Product key. A product key, also known as a software key, serial key or activation key, is a specific software-based key for a computer program. It certifies that the copy of the program is original. Product keys consist of a series of numbers and/or letters. This sequence is typically entered by the user during the installation of computer ...

  4. Universal approximation theorem - Wikipedia

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

    Universal approximation theorem. Artificial neural networks are combinations of multiple simple mathematical functions that implement more complicated functions from (typically) real-valued vectors to real-valued vectors. The spaces of multivariate functions that can be implemented by a network are determined by the structure of the network ...

  5. Activation-synthesis hypothesis - Wikipedia

    en.wikipedia.org/wiki/Activation-synthesis...

    Activation-synthesis hypothesis. The activation-synthesis hypothesis, proposed by Harvard University psychiatrists John Allan Hobson and Robert McCarley, is a neurobiological theory of dreams first published in the American Journal of Psychiatry in December 1977.

  6. Multilayer perceptron - Wikipedia

    en.wikipedia.org/wiki/Multilayer_perceptron

    Machine learningand data mining. A multilayer perceptron ( MLP) is a name for a modern feedforward artificial neural network, consisting of fully connected neurons with a nonlinear activation function, organized in at least three layers, notable for being able to distinguish data that is not linearly separable. [1]

  7. Microsoft Product Activation - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Product_Activation

    Microsoft Product Activation is a DRM technology used by Microsoft Corporation in several of its computer software programs, most notably its Windows operating system and its Office productivity suite. The procedure enforces compliance with the program's end-user license agreement by transmitting information about both the product key used to ...

  8. Spreading activation - Wikipedia

    en.wikipedia.org/wiki/Spreading_activation

    Spreading activation is a method for searching associative networks, biological and artificial neural networks, or semantic networks. The search process is initiated by labeling a set of source nodes (e.g. concepts in a semantic network) with weights or "activation" and then iteratively propagating or "spreading" that activation out to other ...

  9. Product activation - Wikipedia

    en.wikipedia.org/wiki/Product_activation

    In one form, product activation refers to a method invented by Ric Richardson and patented (U.S. patent 5,490,216) by Uniloc where a software application hashes hardware serial numbers and an ID number specific to the product's license (a product key) to generate a unique installation ID.

  10. Softmax function - Wikipedia

    en.wikipedia.org/wiki/Softmax_function

    It is a generalization of the logistic function to multiple dimensions, and used in multinomial logistic regression. The softmax function is often used as the last activation function of a neural network to normalize the output of a network to a probability distribution over predicted output classes.

  11. Zeldovich–Liñán model - Wikipedia

    en.wikipedia.org/wiki/Zeldovich–Liñán_model

    Zeldovich–Liñán model. In combustion, Zeldovich–Liñán model is a two-step reaction model for the combustion processes, named after Yakov Borisovich Zeldovich and Amable Liñán. The model includes a chain-branching and a chain-breaking (or radical recombination) reaction. The model was first introduced by Zeldovich in 1948 [1] and later ...