This paper exploits the fact that the variability in the inter-spike intervals, in the spike train issuing from a neuron, carries substantial information regarding the input to the neuron. A framework for neuronal information processing is proposed which utilizes the above fact to distinguish phenomenal from non-phenomenal mental representation. In the process, an explanation is offered as to what is it, in the nature of conscious mental states, that imparts them a subjective feeling – there is something it is like (...) to be in those mental states. To give empirical support, it is shown how the proposed framework can neatly explain, the delay in eliciting conscious awareness as observed by Libet and the related backwards referral in time. (shrink)

The paper deals with a comprehensive methodology for the identification of slow learning students for remedial teaching and skill development. The slow learners face difficulties in the understanding of concepts and require more time and diversified teaching techniques. The approach presented here focuses on early and accurate identification of slow learners by modern technology, data analysis, and personalized learning plans. A quiz-based classifier combined with a 3D interactive model allows for the student to receive personally tailored recommendations and study material. (...) There is also a visual dashboard that can be used by the teacher for monitoring the performance and engagement of the students and thereby offering further support. The proposed system will improve academic performance, foster innovative teaching methods, and enable equitable access to education for all its students. (shrink)