Abstract
This paper presents a brief account of my research on applying information to neural systems. Although information in physical systems is measured in terms of entropy, it also has a subjective meaning that plays a role in cognition and creativity. To cover the broader meaning of information, I developed learning mechanisms that can recall given a fragment of the memory and a model for instantaneous learning in a neural network. Further, I introduced the notion of quantum neural computing and investigated new aspects of quantum entropy. I have also investigated questions of learning from the perspective of the three languages of the brain: associative, re-organizational, and quantum.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
