Analyzing associativity among mirror neurons for financial profiling: A proposal

摘要

One of the most exciting subfields of neuroscience is the discovery of mirror neurons. Discovered first in macaque monkeys, but now also observed in humans, a mirror neuron is a neuron which fires not only when one performs a particular action, but also when one observes the same. Several applications from various domains exist which make use of this novel concept but none yet exist for the financial domain. This paper makes an effort to realize the concept of mirror neurons for financial profiling. This paper presents the ideas which will be used for realizing such a system. The system developed will make use of mirroring parameters for estimating fluctuations in stock prices more accurately. The system proposed at the end of this paper will be a prototype for future implementation.