John Harmon

Brain Myth #3: Only Ph.Ds Can Advance Brain Science

It's reasonable to assume knowledgeble folks (Ph.Ds in neuroscience, cognitive neuroscience...) would be the ones to advance brain science. They have undergone years of training, experimentation, learning and discovery. Knowledge and skills are developed and refined as he or she conducts research, performs experiments, contributes to the literature etc. How could an independent researcher or other "amateur" compete with this? Yet there is an aspect of science where a non-PH.D contribute: a new conceptual framework, or "paradigm." Mainstream brain science is conducted within a given paradigm. Those working within are most qualified to shed light on matters within the paradigm. For example, if the topic is "how does the reward system's neural activity differ during task X versus task Y?" then a cognitive neuroscientist is in the best position to answer this question. A neurobiologist could best answer "how do individual neurons function." However if the topic is an entirely new...

Brain Myth #4: A (Correct) Brain Theory Would Use Standard Terminology

Although brain science has amassed much valuable knowledge, understanding is lacking. There is no brain theory. Nor is their a cognitive neuroscience framework: how the brain functions in relation to the mind. How does the brain create, compute, mediate or process sensation and perception? How does it perform or support recognition, identification, meaning, thought, emotion, executive control, goals, attention, intention, motor control and learning? A theory of how the brain enables human mental states and processes remains elusive. As Jeff Hawkins often says, "neuroscience is data rich and theory poor." A brain theory is however needed and would be of great value. It would be a useful tool to enhance any applied neuroscience research group. The mind/brain relationship is the foundation of neural decoding, signal classification, and neuroimaging. CNS medicine and biomarker development, neurorobotics, BCI, neuroprosthetics, knowledge representation, NLP, AI/AGI and many other fields...