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  2. Neural decoding - Wikipedia

    en.wikipedia.org/wiki/Neural_decoding

    Neural decoding is a neuroscience field concerned with the hypothetical reconstruction of sensory and other stimuli from information that has already been encoded and represented in the brain by networks of neurons. [1] Reconstruction refers to the ability of the researcher to predict what sensory stimuli the subject is receiving based purely ...

  3. Decoding - Wikipedia

    en.wikipedia.org/wiki/Decoding

    Decoding or decode may refer to: is the process of converting code into plain text or any format that is useful for subsequent processes. Science and technology. Decoding, the reverse of encoding; Parsing, in computer science; Digital-to-analog converter, "decoding" of a digital signal; Phonics, decoding in communication theory; Decode (Oracle)

  4. Instruction cycle - Wikipedia

    en.wikipedia.org/wiki/Instruction_cycle

    Instruction cycle. The instruction cycle (also known as the fetch–decode–execute cycle, or simply the fetch-execute cycle) is the cycle that the central processing unit (CPU) follows from boot-up until the computer has shut down in order to process instructions. It is composed of three main stages: the fetch stage, the decode stage, and the ...

  5. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper "Attention Is All You Need". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1]

  6. Decoding methods - Wikipedia

    en.wikipedia.org/wiki/Decoding_methods

    Decoding methods. In coding theory, decoding is the process of translating received messages into codewords of a given code. There have been many common methods of mapping messages to codewords. These are often used to recover messages sent over a noisy channel, such as a binary symmetric channel .

  7. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    t. e. An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data ( unsupervised learning ). [1] [2] An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.

  8. Parsing - Wikipedia

    en.wikipedia.org/wiki/Parsing

    Parsing. Parsing, syntax analysis, or syntactic analysis is the process of analyzing a string of symbols, either in natural language, computer languages or data structures, conforming to the rules of a formal grammar. The term parsing comes from Latin pars ( orationis ), meaning part (of speech). [1]

  9. Simple view of reading - Wikipedia

    en.wikipedia.org/wiki/Simple_view_of_reading

    v. t. e. The simple view of reading is a scientific theory that a student's ability to understand written words depends on how well they sound out (decode) the words and understand the meaning of those words. Specifically, their reading comprehension can be predicted by multiplying their skill in decoding the written words by their ability to ...