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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. 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.

  4. Encoding (memory) - Wikipedia

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

    Acoustic encoding is the encoding of auditory impulses. According to Baddeley, processing of auditory information is aided by the concept of the phonological loop, which allows input within our echoic memory to be sub vocally rehearsed in order to facilitate remembering. [ 4 ]

  5. 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.

  6. 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.

  7. 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 .

  8. Gain-field encoding - Wikipedia

    en.wikipedia.org/wiki/Gain-field_encoding

    Gain field encoding is a hypothesis about the internal storage and processing of limb motion in the brain. In the motor areas of the brain, there are neurons which collectively have the ability to store information regarding both limb positioning and velocity in relation to both the body (intrinsic) and the individual's external environment (extrinsic). [1]

  9. Predictive coding - Wikipedia

    en.wikipedia.org/wiki/Predictive_coding

    Much of the early work that applied a predictive coding framework to neural mechanisms came from sensory processing, particularly in the visual cortex. [3] [12] These theories assume that the cortical architecture can be divided into hierarchically stacked levels, which correspond to different cortical regions. Every level is thought to house ...