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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

    One of the implications of the efficient coding hypothesis is that the neural coding depends upon the statistics of the sensory signals. These statistics are a function of not only the environment (e.g., the statistics of the natural environment), but also the organism's behavior (e.g., how it moves within that environment).

  4. 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.

  5. Neuronal ensemble - Wikipedia

    en.wikipedia.org/wiki/Neuronal_ensemble

    Carmena et al. (2003) programmed the neural coding in a brain–machine interface allowed a monkey to control reaching and grasping movements by a robotic arm, and Lebedev et al. (2005) argued that brain networks reorganize to create a new representation of the robotic appendage in addition to the representation of the animal's own limbs. [3]

  6. Predictive coding - Wikipedia

    en.wikipedia.org/wiki/Predictive_coding

    In neuroscience, predictive coding (also known as predictive processing) is a theory of brain function which postulates that the brain is constantly generating and updating a "mental model" of the environment.

  7. 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 ...

  8. Here’s what happened when neural networks took on the ... - AOL

    www.aol.com/happened-neural-networks-took-game...

    Artificial neural networks vs the Game of Life. There are a few reasons the Game of Life is an interesting experiment for neural networks. “We already know a solution,” Jacob Springer, a ...

  9. Models of neural computation - Wikipedia

    en.wikipedia.org/wiki/Models_of_neural_computation

    Models of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing in biological nervous systems, or functional components thereof. This article aims to provide an overview of the most definitive models of neuro-biological computation as well as the tools ...