Write4U
Valued Senior Member
Why don't you just stay away from me? Keep it simple.Would you please go away again?
Why don't you just stay away from me? Keep it simple.Would you please go away again?
Up till now there have only been "declarations" that there is a problem with the proposition that microtubules may be functional as processors of any kind, let alone quantum processors.Nobody has ever suggested there is a problem with the proposition that there are still undiscovered aspects of the universe. That has never been in dispute.
Ask for something relevant and you will get an answer with something relevant within it.Ask for something relevant and you shall receive (an undifferentiated pile of junk, with) one item within it that is relevant.
Your sub-civil quality discourse is not relevant to this thread and it is you who has been shoveling ad hominem "shite" in all but one relevant post.Your sub YouTube-quality algorithm draws no distinction between this one paper that is relevant to the thread subject and all the other shite you have been shovelling in the last two thousand posts.
Does the concept of "perceptronium" satisfy the requirements of "qualia", other than that it is an unknown quality?
p.s. How about that "Monkey business illusion"? Does AI have this dubious ability of "selective attention" and how does this happen?
One of the new methods of researching cellular electrical activity.A better analogy might be the many different forms carbon can take according to the arrangement of its atoms: graphite, diamond, charcoal, graphene, and so on; it can have quite different physical properties without ceasing to be carbon. Tegmark is drawing on the idea of computronium proposed by Toffoli and Margolus...
Graphene ‘camera’ captures real-time electrical activity of beating heart
Bay Area scientists have captured the real-time electrical activity of a beating heart, using a sheet of graphene to record an optical image — almost like a video camera — of the faint electric fields generated by the rhythmic firing of the heart’s muscle cells.
The graphene camera represents a new type of sensor useful for studying cells and tissues that generate electrical voltages, including groups of neurons or cardiac muscle cells. To date, electrodes or chemical dyes have been used to measure electrical firing in these cells. But electrodes and dyes measure the voltage at one point only; a graphene sheet measures the voltage continuously over all the tissue it touches.
Nano Letters, comes from a collaboration between two teams of quantum physicists at the University of California, Berkeley, and physical chemists at Stanford University.
“Because we are imaging all cells simultaneously onto a camera, we don’t have to scan, and we don’t have just a point measurement. We can image the entire network of cells at the same time,” said Halleh Balch, one of three first authors of the paper and a recent Ph.D. recipient in UC Berkeley’s Department of Physics.
While the graphene sensor works without having to label cells with dyes or tracers, it can easily be combined with standard microscopy to image fluorescently labeled nerve or muscle tissue while simultaneously recording the electrical signals the cells use to communicate.
“The ease with which you can image an entire region of a sample could be especially useful in the study of neural networks that have all sorts of cell types involved,” said another first author of the study, Allister McGuire, who recently received a Ph.D. from Stanford. “If you have a fluorescently labeled cell system, you might only be targeting a certain type of neuron. Our system would allow you to capture electrical activity in all neurons and their support cells with very high integrity, which could really impact the way that people do these network level studies.”
https://news.berkeley.edu/2021/06/1...al-time-electrical-activity-of-beating-heart/Graphene is a one-atom thick sheet of carbon atoms arranged in a two-dimensional hexagonal pattern reminiscent of honeycomb. The 2D structure has captured the interest of physicists for several decades because of its unique electrical properties and robustness and its interesting optical and optoelectronic properties.
"A highly illustrative example comes from the orientation behaviors of the common house fly (Reichardt & Poggio, 1976; Poggio & Reichardt, 1976). Flies orient toward moving objects, which they chase as part of their mating behavior.
Detailed analysis revealed that the circuitry underlying this behavior forms a simple controller: a motion detection system fed by luminance changes on the fly’s facet eye drives the flight motor, generating an amount of torque that is a function of where on the sensory surface motion was detected.
Dynamical Systems Thinking From Metaphor to Neural TheoryIf the speck of motion is detected on the right, a torque to the right is generated. If the speck is detected on the left, a torque to the left is generated. The level of torque passes through zero when the speck is right ahead. The torque changes the flight direction of the fly, which in turn changes the location on the facet eye at which the moving stimulus is detected. Given the aerodynamics of flies, the torque and its on-line updating generate an orientation behavior, in which the insect orients its flight into the direction in which a moving stimulus is detected.
The Self-Organization Metaphor
One way developmental scientists have addressed this tension between the apparent stability of the developmental process and its flexibility in response to variable environments and experiential histories is by invoking the concept of self-organization. In a self-organizing system, the flexible and individual processes of development may emerge from the confluence of various forces, while the inherent organizational principles would hold the developmental process on track. Exactly how that may work requires closer examination
CHAPTER 8
The Fundamental Tension in Development between Stability and Flexibility
The Self-Organization Metaphor
Molenaar_HbkDvlpmntlSysThryMthdlgy.indb 188 9/18/2013 5:24:16 PM
Dynamical Systems Thinking 189 environments and experiential histories is by invoking the concept of self-organization.
In a self-organizing system, the flexible and individual processes of development may emerge from the confluence of various forces, while the inherent organizational principles would hold the developmental process on track.
Exactly how that may work requires closer examination. This ideas has been promoted as a metaphor for development that has inspired a research program into possible mechanisms of emergence, of how environmental factors contribute to development, how individual differences persist, and how the ensemble of these influences jointly control development (“soft causation”) (Elman et al., 1997; Spencer et al., 2006; Thelen & Smith, 1994).
This chapter reviews this metaphor, criticizes it, and proposes a specific direction in which this metaphor can be transformed into an operational theory of the development of behavior and cognition. The perspective of self-organization was developed, in part, in opposition to an apparent alternative; that is, to an account of development that is based on maturation and innateness. In such an account the molecular machinery of growth guarantees the reproducible patterns of development and also explains how individual differences
arise from different starting conditions, largely determined by genetic factors, and remain stable over the course of development (Fodor, 1981; for critiques, see Molenaar, 1986; Quartz, 1993).
Interestingly, the self-organization metaphor connects to older theoretical ideas about growth processes. In fact, within developmental biology an analogous tension exists between two metaphors, one based on information processing and programming, the other on self-organization and emergence.
The fine-grained molecular machinery of growth engages gene expression, which may be thought of as the core driver of morphogenesis, which is the formation of macroscopic shape from microscopic processes. At this molecular level, information-processing metaphors such as program, lock and key, and reading or writing of genetic information, etc., are commonly invoked. These metaphors have their own interesting conceptual history (Fox Keller, 2002).
Molecular biologists resonated with these concepts as these seemed to fit to their experimental tools.
In an older view, morphogenesis had been thought of as a form of pattern formation. This older view dates back to Waddington’s famous epigenetic landscape (Waddington, 1953; see also Ho, Chapter 5, and Newell & Liu, Chapter 12, this volume and Figure 8.1), often invoked but somewhat inconsequential to modern developmental biology.
The metaphor suggests that “forces” shape the form of an organism, which then emerges from a process of equilibration of these forces. Over development, the landscape of forces and the associated equilibria become increasingly complex, leading to a more and more differentiated organism.
https://www.ini.rub.de/upload/file/1485095301_c3ff2992a6bf6c34ebb6/Schoner_handbook_dev_2014.pdfThis metaphor resonates with the famous mathematical model of pattern formation of Alan Turing (1952), in which the interaction of diffusion and chemical reaction kinetics generates concentration patterns. The structure of these patterns is encoded in the parameters of the chemical and diffusion dynamics that are hypothesized to drive growth. That and similar models remained essentially metaphorical too, as they did not make contact with experimentally accessible problems in development.
No. There's no problem with the proposition/hypothesis.Up till now there have only been "declarations" that there is a problem with the proposition that microtubules may be functional as processors of any kind, let alone quantum processors.
But this is where you miss the point. It's all relevant. Because the one thing all motile organisms share are microtubules as the "translators" of raw data into ordered informational experiences.I don't think you're even aware that most of the stuff you're posting is entirely irrelevant, and the rest you don't understand well enough to be able to think about it meaningfully, let alone to be able to explain it to somebody else who isn't already an expert in the field.
Scientists who watched nerve cells connect inside the eyes of growing squid have uncovered a remarkable secret — the cephalopods’ brains independently evolved to develop in the same way ours do.
The discovery, made using high-resolution cameras focused on the retinas of longfin squid (Doryteuthis pealeii) embryos, reveals that, in spite of 500 million years of divergent evolution, the basic blueprint for how complex brains and nervous systems evolve may be the same across a wide range of species.
cephalopods — a class of marine animals that includes octopuses, squid and cuttlefish — has long been a subject of fascination among biologists. Unlike most invertebrates, these animals possess remarkable memories; use tools to solve problems; excel at camouflage; react with curiosity, boredom or even playful malevolence to their surroundings; and can dream, if the ripples of colors that flash across their skin as they sleep are any indication.
https://www.livescience.com/baby-squid-retinas-have-vertebrate-brain-development
Related: Octopuses may be so terrifyingly smart because they share humans' genes for intelligenceNow, this new study, published Dec. 5, 2022 in the journal Current Biology, suggests that key parts of the formula for advanced intelligence, on Earth at least, remain the same.
https://cdn.mos.cms.futurecdn.net/z7vrPuAYtT7kAgYt9xdiKR-1200-80.gif"Our conclusions were surprising because a lot of what we know about nervous system development in vertebrates has long been thought to be special to that lineage," study senior author Kristen Koenig, a molecular biologist at Harvard University, said in a statement. "By observing the fact that the process is very similar, what it suggested to us is that these two [lineages] independently evolved very large nervous systems using the same mechanisms to build them. What that suggests is that those mechanisms — those tools — the animals use during development may be important for building big nervous systems."
To study the squid embryos’ developing brains, the scientists used fluorescent dyes to mark a special type of stem cell called neural progenitor cells, before studying how they developed with regular, 10-minute snaps from microscope cameras. The cameras looked at the retinas, where roughly two-thirds of a squid's neural tissue is found.
Just as in vertebrates, the researchers saw the squids’ progenitor cells arrange themselves into a structure called a pseudostratified epithelium — a long, densely packed structure that forms as a crucial step in the growth of large, complex tissue. The researchers noted that the size, organization and movement of the structure's nucleus was remarkably similar to the same neural epitheliums in vertebrates; something that was once considered a unique feature that enabled back-boned animals to grow sophisticated brains and eyes.
more..... https://www.livescience.com/baby-squid-retinas-have-vertebrate-brain-developmentThis is not the only time that scientists have spotted cephaolopods sharing common neurological blueprints with us. Much like humans, octopuses and squid also have a large variety of microRNAs (small molecules that control how genes are expressed) found inside their neural tissue.
No.Another example of shared evolutionary origins.
Squid and human brains develop the same way despite diverging 500 million years ago
By Ben Turner
It seems that the blueprint for complex brain development remains the same, despite 500 million years of divergent evolution.
Why has this process remained the same in 2 otherwise completely evolutionary divergent organisms and facilitated the emergence of highly intelligent brains in both species?
Can a case be made that the growth process has not changed because both species use the very same chromosomal mitotic process? And the mechanism for mitosis is the mitotic spindle which consists of microtubules that have not changed since the emergence of Eukaryotic life and are also responsible for neural growth and function.
I agree. Microtubules are not the blueprints, they regulate the execution of the blueprints.Microtubules are important in the mechanical process of cell division. They don't do the job of genes.
When that control goes bad the result can be cancer (uncontrolled cell growth).Microtubules, together with microfilaments and intermediate filaments, form the cell cytoskeleton. The microtubule network is recognized for its role in regulating cell growth and movement as well as key signaling events, which modulate fundamental cellular processes. Jun 3, 2014
https://www.frontiersin.org/articles/10.3389/fonc.2014.00153/full#
As noted above, homeostasis already begins at the mitotic stage, by regulating the process via electrochemical signaling. Keyword: regulated growth.Cell division helps maintain homeostasis in living things because it creates new cells that can be used for growth and repair. During mitosis, one cell creates two identical daughter cells. These cells are necessary to replace old cells that die in the organism or to repair damage to the body.
https://homework.study.com/explanat...p-maintain-homeostasis-in-living-things.html#
Even in the face of damaging insults, most cells maintain stability over time through multiple homeostatic pathways, including maintenance of the microtubule cytoskeleton that is fundamental to numerous cellular processes. The dynamic instability-perpetual growth and shrinkage-is the best-known microtubule regulatory pathway, which allows rapid rebuilding of the microtubule cytoskeleton in response to internal or external cues.
Autoregulation of eukaryotic transcription factorsMuch less investigated is homeostatic regulation through availability of α-β tubulin heterodimers-microtubules' main building blocks-which influences total mass and dynamic behavior of microtubules. Finally, the most recently discovered is microtubule homeostasis through self-repair, where new GTP-bound tubulin heterodimers replace the lost ones in the microtubule lattice. In this review we try to integrate our current knowledge on how dynamic instability, regulation of tubulin mass, and self-repair work together to achieve microtubule homeostasis.
more..... https://pubmed.ncbi.nlm.nih.gov/30415186/
The structures of several promoters regulating the expression of eukaryotic transcription factors have in recent years been examined. In many cases there is good evidence for autoregulation, in which a given factor binds to its own promoter and either activates or represses transcription. Autoregulation occurs in all eukaryotes and is an important component in controlling expression of basal, cell cycle specific, inducible response and cell type-specific factors. The basal factors are autoregulatory, being strictly necessary for their own expression, and as such must be epigenetically inherited.
Autoregulation of stimulus response factors typically serves to amplify cellular signals transiently and also to attenuate the response whether or not a given inducer remains. Cell cycle-specific transcription factors are positively and negatively autoregulatory, but this frequently depends on interlocking circuits among family members. Autoregulation of cell type-specific factors results in a form of cellular memory that can contribute, or define, a determined state.
Autoregulation of transcription factors provides a simple circuitry, useful in many cellular circumstances, that does not require the involvement of additional factors, which, in turn, would need to be subject to another hierarchy of regulation.
Autoregulation additionally can provide a direct means to sense and control the cellular concentration of a given factor. However, autoregulatory loops are often dependent on cellular pathways that create the circumstances under which autoregulation occurs.
more ..... https://pubmed.ncbi.nlm.nih.gov/9594574/
Daniel Dennett Intentional systems theory is in the first place an analysis of the meanings of such everyday ‘mentalistic’ terms as ‘believe,’ ‘desire,’ ‘expect,’ ‘decide,’ and ‘intend,’ the terms of ‘folk psychology’ (Dennett 1971) that we use to interpret, explain, and predict the behavior of other human beings, animals, some artifacts such as robots and computers, and indeed ourselves.
In traditional parlance, we seem to be attributing minds to the things we thus interpret, and this raises a host of questions about the conditions under which a thing can be truly said to have a mind, or to have beliefs, desires and other ‘mental’ states.
According to intentional systems theory, these questions can best be answered by analyzing the logical presuppositions and methods of our attribution practices, when we adopt the intentional stance toward something.
Anything that is usefully and voluminously predictable from the intentional stance is, by definition, an intentional system. The intentional stance is the strategy of interpreting the behavior of an entity (person, animal, artifact, whatever) by treating it as if it were a rational agent who governed its ‘choice’ of ‘action’ by a ‘consideration’ of its ‘beliefs’ and ‘desires.’ The scare-quotes around all these terms draw attention to the fact that some of their standard connotations may be set aside in the interests of exploiting their central features: their role in practical reasoning, and hence in the prediction of the behavior of practical reasoners.
Nonono, James, The topic of consciousness is one of the most expansive topics of any science.What does "intentional systems theory" have to do with microtubules? Shouldn't this be a separate topic? (Mind you, I guess it's useful to have Wrtie4U's random cut-and-pastes confined mostly to one thread.)
Dennett describes consciousness as an account of the various calculations occurring in the brain at close to the same time. He compares consciousness to an academic paper that is being developed or edited in the hands of multiple people at one time, the "multiple drafts" theory of consciousness.[/quote]Consciousness Explained is a 1991 book by the American philosopher Daniel Dennett, in which the author offers an account of how consciousness arises from the interaction of physical and cognitive processes in the brain.
more ...... https://en.wikipedia.org/wiki/Consciousness_ExplainedIn this analogy, "the paper" exists even though there is no single, unified paper. When people report on their inner experiences, Dennett considers their reports to be more like theorizing than like describing. These reports may be informative, he says, but a psychologist is not to take them at face value. Dennett describes several phenomena that show that perception is more limited and less reliable than we perceive it to be.
It is all relevant if you look deep enough.In traditional parlance, we seem to be attributing minds to the things we thus interpret, and this raises a host of questions about the conditions under which a thing can be truly said to have a mind, or to have beliefs, desires and other ‘mental’ states. According to intentional systems theory, these questions can best be answered by analyzing the logical presuppositions and methods of our attribution practices, when we adopt the intentional stance toward something. Anything that is usefully and voluminously predictable from the intentional stance is, by definition, an intentional system.
My comments referred to "intentional systems theory" (whatever that might be*), not consciousness.Nonono, James, The topic of consciousness is one of the most expansive topics of any science.
Yes, yes. He proposed (a long time ago) that this happens in microtubules. But I asked: what does this have to do with "intentional systems theory"?Roger Penrose proposes that "quantum collapse" throughout the universe produces an instant of "consciousness"
None of these things is relevant to the thread topic, as far as I can tell.Theists believe in an eternal supernatural conscious creative agency.
Buddhists believe that Tulpas are autonomous products of mind and acquire an independent existence.
Max Tegmark proposes that consciousness emerges from specific data processing "patterns"
Bonnie Bassler demonstrated that bacteria "communicate" via "quorum sensing", a form of hive consciousness.
Anil Seth proposes that our brain experiences "controlled hallucinations, best guesses of what's out there.
I've read that book. Its title is over-reach, since Dennett doesn't actually explain consciousness. Well, not a full explanation, which is what you believe you have with your microtubules. I've met Dennett and I guess I'd class myself as something of a fan of his. Nevertheless...I quote Daniel Bennet [sic], who proposes that "consciousness arises from interaction of physical and cognitive processes in the brain."
Yes. And so? Relevance to the current discussion?Dennett describes consciousness as an account of the various calculations occurring in the brain at close to the same time. He compares consciousness to an academic paper that is being developed or edited in the hands of multiple people at one time, the "multiple drafts" theory of consciousness.
In this analogy, "the paper" exists even though there is no single, unified paper. When people report on their inner experiences, Dennett considers their reports to be more like theorizing than like describing. These reports may be informative, he says, but a psychologist is not to take them at face value. Dennett describes several phenomena that show that perception is more limited and less reliable than we perceive it to be.
There's nothing in the quotes you have provided (or, indeed, in the entire book you reference, IIRC) that mentions microtubules. Not a single reference.And you tell me that Dennett's views are not relevant?
No. The boundaries are set by the thread topic, which is about the question of whether consciousness is to be explained with reference to quantum processes in microtubules.You presume to set boundaries on a subject that has intrigued mankind since the ability of "problem solving" is apparent in even the earliest life forms on earth.
*It seems to me that we can probably add "intentional systems theory" to the long list of things you quote without understanding. At least you have explained where you cut-and-pasted that term from, however. That's something. Still irrelevant to the microtubules discussion, however.Dennett: [snip]
It is all relevant if you look deep enough.
This may be of interest from a different perspective.
Intentional Systems Theory
more.... https://ase.tufts.edu/cogstud/dennett/papers/intentionalsystems.pdf
ALL my cut-and-paste quotes are accompanied by links to the original papers.*It seems to me that we can probably add "intentional systems theory" to the long list of things you quote without understanding. At least you have explained where you cut-and-pasted that term from, however. That's something. Still irrelevant to the microtubules discussion, however.
Biological tests of necessity and sufficiency refer to experimental methods and techniques that seek to test or provide evidence for specific kinds of causal relationships in biological systems. A necessary cause is one without which it would be impossible for an effect to occur, while a sufficient cause is one whose presence guarantees the occurrence of an effect. These concepts are largely based on but distinct from ideas of necessity and sufficiency in logic.
more..... https://en.wikipedia.org/wiki/Biological_tests_of_necessity_and_sufficiency