Atmanspacher and Filk (2006) demonstrated that in simple supervised learning tasks, small recurrent networks learn both the prescribed input-output relation and the sequence in which inputs are presented, meaning recognition is impaired if the presentation sequence changes.

Authors

• Person: Not available Organization: Stanford Encyclopedia of Philosophy
  Quantum Approaches to Consciousness

Sources

• Quantum Approaches to Consciousness plato.stanford.edu Stanford Encyclopedia of Philosophy via serper
• Quantum Approaches to Consciousness plato.stanford.edu Stanford Encyclopedia of Philosophy via serper
• Quantum Approaches to Consciousness plato.stanford.edu Stanford Encyclopedia of Philosophy via serper

Referenced by nodes (2)

• H. Atmanspacher entity
• supervised learning concept