I will begin with an overview of my current research projects which include detection
of deception and classification of attention deficit using cognitive activity measures
derived from high-density evoked potential (ERP) data. The origins of the ERP signal
are then discussed and Libet's work on the temporal nature of these signals provides
a jumping off point to the experimental world of modern neuroscience where Koch and
others suggest that neural correlates of vision likely provide the best framework
for studying consciousness perception.
Drawing from philosophical (Husserl to Hofstadter) and psychological (James
to Jackson) sources I then provide some perspectives on how Tegmark's arguments from
Quantum Decoherence against the ORCH OR model of consciousness of Hammeroff and Penrose,
provides a framework where states of mind may be derived from measurements from the
whole brain. Within this framework I will discuss the physical and psychological nature
of bi-stable pictures (e.g., the Rubin Vase-Face) and sketch an argument for the instantiation
of a conceptual self within the physical brain.
I will conclude with ideas for future research using portable EEG systems to
assess the degree to which stress and attention may be modulated to help refine and
improve waveform classification and the subsequent automation of machine driven tasks.
i.e., a brain-machine interface.