How does Mind Brain Insights enhance motor neuroprosthetics, BCI technology, and other applied neuroscience projects? How might we add value — better products, better performance, quicker learning, easier use? The answer is tied directly to theory — of both mind and brain. Although vast knowledge about the brain exists, both the mind — and the brain networks that expresses it — are poorly understood.
Most neuroscientists think of the mind (when they think of it at all) as a vague and murky psuedo-phenomenon. The mind (whatever that is — there is no clear definition) is “processed,” “computed,” or “mediated” by the brain. Experience — our perceptual recognition, state of cognition and emotion, attention, behavior etc. — is “processed” moment by moment. Also the result of neural processing are meaning, arousal, goals, attention, motor intention, and all other subjective phenomena. The brain (somehow) “processes” the mind.
The main flaw in this view is it all but ignores the field external to the brain. The brain is primary, the mind secondary, and experience (as it occurs in vivid detail, external to the brain) an afterthought.
The MA (Memory Activation) cognitive neuroscience paradigm expands this highly constrained view of the mind. The mind is comprised (mostly) of general memory. The latter in turn is constructed from life experience. All of our most common and powerful experience is included. This alternative paradigm enables a new and demonstrably more accurate understanding of not only the mind, but its brain correlate.
Human experience extends beyond the confines of the perceived skull. This is common knowledge. One’s state of mind unfolds through space and time within a person’s (modal and amodal) visual field. As this three-dimensional field changes, or not, the brain makes copies of it. This field, and the episodic memory thereof, continually activate (matching) general memory. In turn, a person’s general memory activity creates most of the mind: recognition, meaning, thought, state of arousal, etc.
A correct understanding of mind and brain can add significant value to applied neuroscience. Large scale neural network activity, and the corresponding brain signal, can be defined with greater accuracy. Once the mind’s memory networks are identified, weighted, and connected, corresponding neural networks can be pinpointed. In other words, any neural network (ex: that of “lemon”) mirrors a definable set of memory components (“fruit” “juicy,” “sour,” “pucker,” “bite into,” etc.). This is true both structurally and functionally.
The MA Method is essentially a new science tool. It’s like giving a surgeon a scalpel to work with instead of a butter knife. It can be used to carve out precise definitions of mind, and map these to the brain. This includes the mapping of any movement, or sequence of movements. It can be applied to any person or population, situation, disability, neuroprosthetic device, or other context.
The method enhances motor neuroprosthetics — design, signal classification, testing, training, and use — in the following ways: