enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Pandemonium architecture - Wikipedia

    en.wikipedia.org/wiki/Pandemonium_architecture

    Pandemonium architecture is a theory in cognitive science that describes how visual images are processed by the brain. It has applications in artificial intelligence and pattern recognition. The theory was developed by the artificial intelligence pioneer Oliver Selfridge in 1959. It describes the process of object recognition as the exchange of ...

  3. Visual search - Wikipedia

    en.wikipedia.org/wiki/Visual_search

    If that item is rejected, then attention will move on to the next item and the next, and so forth. The guided search theory follows that of parallel search processing. An activation map is a representation of visual space in which the level of activation at a location reflects the likelihood that the location contains a target.

  4. 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. [1] 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 nodes linked to the source nodes.

  5. Neuronal recycling hypothesis - Wikipedia

    en.wikipedia.org/wiki/Neuronal_Recycling_Hypothesis

    Neuronal recycling is the idea that novel cultural cognitive processes invade cortical areas initially devoted to different, but similar functions. [4] This cortical architecture presents biases prior to learning, but through neuronal recycling, novel functions may be acquired, so long as they find a suitable cortical area in the brain to accommodate it. [2]

  6. Parallel constraint satisfaction processes - Wikipedia

    en.wikipedia.org/wiki/Parallel_Constraint...

    In a feedback or parallel constraint satisfaction network, activation passes around symmetrically connected nodes until the activation of all the nodes asymptotes or "relaxes" into a state that satisfies the constraints among the nodes. This process allows for the integration of a number of different sources of information in parallel. [2]

  7. Glossary of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_artificial...

    activation function In artificial neural networks, the activation function of a node defines the output of that node given an input or set of inputs. adaptive algorithm An algorithm that changes its behavior at the time it is run, based on a priori defined reward mechanism or criterion. adaptive neuro fuzzy inference system (ANFIS)

  8. Levels of Processing model - Wikipedia

    en.wikipedia.org/wiki/Levels_of_Processing_model

    Typical level-of-processing theory would predict that picture encodings would create deeper processing than lexical encoding. "Memory over the short term and the long term has been thought to differ in many ways in terms of capacity, the underlying neural substrates, and the types of processes that support performance." [13]

  9. Neuroconstructivism - Wikipedia

    en.wikipedia.org/wiki/Neuroconstructivism

    Neuroconstructivism is a theory that states that phylogenetic developmental processes such as gene–gene interaction, gene–environment interaction [1] and, crucially, ontogeny all play a vital role in how the brain progressively sculpts itself and how it gradually becomes specialized over developmental time.