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  2. Neural coding - Wikipedia

    en.wikipedia.org/wiki/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. Efficient coding hypothesis - Wikipedia

    en.wikipedia.org/wiki/Efficient_coding_hypothesis

    Analyzing actual neural system in response to natural images In a report in Science from 2000, William E. Vinje and Jack Gallant outlined a series of experiments used to test elements of the efficient coding hypothesis, including a theory that the non-classical receptive field (nCRF) decorrelates projections from the primary visual cortex .

  4. Neural encoding of sound - Wikipedia

    en.wikipedia.org/wiki/Neural_encoding_of_sound

    The neural encoding of sound is the representation of auditory sensation and perception in the nervous system. [1] The complexities of contemporary neuroscience are continually redefined. Thus what is known of the auditory system has been continually changing.

  5. Neural decoding - Wikipedia

    en.wikipedia.org/wiki/Neural_decoding

    This neural coding and decoding loop is a symbiotic relationship and the crux of the brain's learning algorithm. Furthermore, the processes that underlie neural decoding and encoding are very tightly coupled and may lead to varying levels of representative ability. [7] [8]

  6. Neuronal ensemble - Wikipedia

    en.wikipedia.org/wiki/Neuronal_ensemble

    The rate encoding theory states that individual neurons encode behaviorally significant parameters by their average firing rates, and the precise time of the occurrences of neuronal spikes is not important. The temporal encoding theory, on the contrary, states that precise timing of neuronal spikes is an important encoding mechanism.

  7. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning).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. Encoding (memory) - Wikipedia

    en.wikipedia.org/wiki/Encoding_(memory)

    Encoding allows a perceived item of ... and finally the activation of gene expression in accordance with the new neural configuration. [26] The encoding process has ...

  9. Coding theory - Wikipedia

    en.wikipedia.org/wiki/Coding_theory

    Neural coding is a neuroscience-related field concerned with how sensory and other information is represented in the brain by networks of neurons. The main goal of studying neural coding is to characterize the relationship between the stimulus and the individual or ensemble neuronal responses and the relationship among electrical activity of ...