Exploring a Quantum Hebbian Model of Feature Map Formation

  • Priti Gupta
  • C. M. Markan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8251)

Abstract

The brain self-organizes into feature maps or neural assemblies on receiving inputs. Similar self-organization is possible in artificial systems only if the principles that the brain employs are exploited. Existing models explaining feature map formation cover only some aspects of local feature map formation. It is unlikely that the brain employs different mechanisms to form local and global feature maps and hence there is a need to explore a single mechanism that could account for neural interactions at all levels. If we take the brain to coexist as a quantum and a classical system, certain insights can be obtained about neural development. In this paper we explore a quantum hebbian model of interaction between the quantum and classical processes in the brain, which in synergy with mental force of directed attention, seems to have the potential to explain the formation of both local and global feature maps. Introducing this duality also helps us address higher level issues like mind wandering, zombie modes, volition etc.

Keywords

Synaptic Weight Classical Weight Mental Force Quantum Part Neural Assembly 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Priti Gupta
    • 1
  • C. M. Markan
    • 1
  1. 1.Department of Physics and Computer ScienceDayalbagh Educational InstituteAgraIndia

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