Write4U
Valued Senior Member
That Time Daniel Dennett Took 200 Micrograms of LSD (In Another Timeline)
https://qualiacomputing.com/tag/gpt-3/
This is actually an interesting journey by Daniel Dennett.
He introduces GPT3 as a possible mapping device of what we we call the "easy problem" which may give some insights to the question of the "hard problem"
If the GPT3 can assist us in this analysis then we may just be on the way to solving the "qualia" problem.
Personally I see qualia as a electro-chemical imprints (engrams) on the microtubule pyramid neural patterns.
Finding the engram
Key Points
This was discussed by Anil Seth who posits that engrams which are stimulated by incoming electro-chemical data
trigger a "best guess" and an expectation by the brain which is then reigned in by the specific incoming data.
Seth posits that we create our reality from the inside out as much as from the outside in.
He calls it "controlled hallucinations" (without the negative connotation).
And I believe that Hameroff has properly identified the locations of the neural patterns which allow for storage and retrieval of memories (engrams). He proposes a neural pyramid consisting of MT in various configurations which allow for "fixing" electro-chemical information in long term memory.
Newswise —
Multi-scale hierarchy with dipole oscillations from neuron (left) downward in size and upward in frequency through microtubule, rows of tubulin, tubulin and London force dipole networks which oscillate in the terahertz regime. Anesthetics may act (lower right) by altering these collective dipole oscillations.
“And after seeing some surprising empirical results with his heterophenomenological
methods when examining the experience of people on psychedelics, Daniel Dennett decided to experience it for himself by taking 200 micrograms of LSD. The first thing he said to himself as he felt the first indications of the come-up was… ”
https://qualiacomputing.com/tag/gpt-3/
This is actually an interesting journey by Daniel Dennett.
He introduces GPT3 as a possible mapping device of what we we call the "easy problem" which may give some insights to the question of the "hard problem"
If the GPT3 can assist us in this analysis then we may just be on the way to solving the "qualia" problem.
Personally I see qualia as a electro-chemical imprints (engrams) on the microtubule pyramid neural patterns.
Finding the engram
Key Points
- An engram is the physical trace of a memory in the brain. Although many attempts have been made to localize engrams, the engram has remained largely elusive until now.
- Here, we develop four defining criteria for engram identification and apply these criteria to recent capture studies that have attempted to observe, erase and artificially express engrams in rodents.
- Capture studies (allocate-and-manipulate or tag-and-manipulate) allow neurons that were active at the time of learning (engram encoding) to be captured and permanently tagged for later visualization and/or manipulation.
- Observation studies have established that neurons active at the time of encoding are reactivated when the corresponding memory is retrieved.
- Erasure studies have shown that silencing of engram neurons prevents memory expression, and thus establish that activation of these neurons is necessary for successful retrieval.
- Conversely, stimulation of these engram neurons has been used effectively to induce artificial memory recovery, and thus establish that activation of engram neurons is sufficient for retrieval.
This was discussed by Anil Seth who posits that engrams which are stimulated by incoming electro-chemical data
trigger a "best guess" and an expectation by the brain which is then reigned in by the specific incoming data.
Seth posits that we create our reality from the inside out as much as from the outside in.
He calls it "controlled hallucinations" (without the negative connotation).
And I believe that Hameroff has properly identified the locations of the neural patterns which allow for storage and retrieval of memories (engrams). He proposes a neural pyramid consisting of MT in various configurations which allow for "fixing" electro-chemical information in long term memory.
Newswise —
Most view consciousness as an emergent property of complex computation mediated by membrane and synaptic processes among brain neurons. But despite ever-increasing detailed knowledge, the brain-as-computer approach has failed to shed light on the nature of consciousness. Accordingly, some now see the brain as a multi-scale hierarchy, resonating inside neurons with deeper, faster (quantum) vibrations in cytoskeletal microtubules, much more like an orchestra than a computer.
Multi-scale hierarchy with dipole oscillations from neuron (left) downward in size and upward in frequency through microtubule, rows of tubulin, tubulin and London force dipole networks which oscillate in the terahertz regime. Anesthetics may act (lower right) by altering these collective dipole oscillations.
In the 19th century a group of gases with diverse chemical structures were found to have a common action. When inhaled, the gases rendered humans and animals immobile, unresponsive and presumably unconscious. When the ‘anesthetic’ gas was exhaled away, the subjects ‘woke up’ and regained consciousness. For each gas, the same concentration was required to anesthetize all types of animals - salamanders, fruit flies, horses, mice and humans, the effective dosage for each gas becoming known as its ‘minimum alveolar concentration’ (‘MAC’), inversely proportional to potency. Anesthetic gases are believed to be stabilized at their targets by weak, quantum interactions known as van der Waals London forces. How do such subtle forces exert profound and selective effects on consciousness?
Seeking a unifying factor, Hans Meyer (1899) and Charles Overton (1901) discovered that anesthetic potency (1/MAC) correlated strongly with gas binding solubility in a non-polar, lipid-like medium akin to olive oil. The ‘Meyer-Overton correlation’ thus suggested anesthetics acted in, and consciousness arose from, non-polar, oil-like regions somewhere in the brain.
https://www.newswise.com/articles/c...ions-inside-neurons-anesthesia-study-suggestsThese were initially taken to imply lipid regions of neuronal membranes, but in the 1980s Nick Franks and Bill Lieb at Imperial College, London, demonstrated that anesthetics acted instead inside proteins, in non-polar, ‘hydrophobic pockets’. These water-averse, oil-like regions (‘oil and water don’t mix!’) include ‘pi resonance’ electron clouds of aromatic amino acids tryptophan, tyrosine and phenylalanine. These electron clouds are conducive to the formation of networks of London force dipoles with characteristic oscillation frequencies.