Animal minds Intelligent Design Mind Neuroscience

New research: Human brains do not differ much from reptile brains

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Now that new methods enable us to know more about reptile brains, as explained at Massive Science:

Wim Hof is also known as “The Iceman,” holder of 26 world records and one of the most successful extreme athletes of all time. He attributes his success to a breathing method that he thinks exploits his “reptilian brain,” helping him acquire a superhuman tolerance to punishing cold. According to some, tricks like these fool the lizard part of your brain – the more primitive, unconscious mind – and can be used to make us vulnerable to marketing, lose us money, or maybe even elect Donald Trump.

Paul MacLean first proposed the idea of the “lizard brain” in 1957 as part of his triune brain concept, theorizing that the human brain supposedly consists of three sections, nested based on their evolutionary age. He believed the neocortex, which he thought arose in primates, is the largest, outermost, and newest part of the human brain: It houses our conscious mind and handles learning, language, and abstract thought. MacLean thought the older, deeper limbic system – which mediates emotion and motivation – began in mammals. Finally, he traced the brainstem and basal ganglia back to primordial reptiles, theorizing that they controlled our reflexes, as well as our four major instincts: to fight, flee, feed, and fornicate.

Of course all that just had to be true, right? However,

Taken together, these comparisons showed that rather than considering the reptilian brain a distinct unit, separate from the mammalian limbic system and the primate neocortex, the three can’t be cleanly distinguished from one another. Instead, reptiles have primitive versions of both of MacLean’s “higher” brain areas, all but proving his theories false. These areas didn’t evolve from scratch after reptiles, but instead simply expanded out from their smaller, less well-defined reptilian precursors.

These findings don’t just change how we classify regions of the brain, they change how we think about lizards and other “lower” animals. If their brains are somewhat similar to our own, why wouldn’t their thought be similar as well? If lizards do think so differently, what relatively minor genetic difference could possibly cause such a dramatic change? James R. Howe VI, “Human and reptile brains aren’t so different after all” at Massive Science

Steady there, James. There is little evidence that most reptiles “think” much, or need to. Some birds and mammals do. See, for example, Furry, feathery, and finny animals speak their minds and Does intelligence depend on a specific type of brain?

These findings mainly deepen the mystery of the human mind, which traverses regions unknown to any of them without the brain being that much different.

See also:Do big brains matter to human intelligence? We don’t know. Brain research readily dissolves into confusion at that point. We also know very little about the human brain. Take this controversy about why the large human brain evolved…

Can reptiles experience love? If no love relationships exist for that animal in nature, well then you would be expecting the animal to independently invent one. Why not ask him to do your taxes while you are at it?

Furry, feathery, and finny animals speak their minds

and

Does intelligence depend on a specific type of brain?

One Reply to “New research: Human brains do not differ much from reptile brains

  1. 1
    bornagain77 says:

    as to:

    These areas didn’t evolve from scratch after reptiles, but instead simply expanded out from their smaller, less well-defined reptilian precursors.

    Darwinists have no clue how a single neuron could have possibly arisen much less how the “beyond belief” human brain could have possibly arisen:

    A few notes to that effect:

    “Complexity Brake” Defies Evolution – August 8, 2012
    Excerpt: Consider a neuronal synapse — the presynaptic terminal has an estimated 1000 distinct proteins. Fully analyzing their possible interactions would take about 2000 years. Or consider the task of fully characterizing the visual cortex of the mouse — about 2 million neurons. Under the extreme assumption that the neurons in these systems can all interact with each other, analyzing the various combinations will take about 10 million years…, even though it is assumed that the underlying technology speeds up by an order of magnitude each year.
    http://www.evolutionnews.org/2.....62961.html

    “The brain is not a supercomputer in which the neurons are transistors; rather it is as if each individual neuron is itself a computer, and the brain a vast community of microscopic computers. But even this model is probably too simplistic since the neuron processes data flexibly and on disparate levels, and is therefore far superior to any digital system. If I am right, the human brain may be a trillion times more capable than we imagine, and “artificial intelligence” a grandiose misnomer.”
    Brian Ford research biologist – 2009 – The Secret Power of a Single Cell
    http://www.brianjford.com/a-10-NSc-single_cell.pdf

    Imagine you would be the most genius inventor of all time – 2017
    Excerpt: – The human brain (86 billion neurons) at 10^8,342 bits exceeding the bit capacity of the entire universe at 10^120 bits upon which a maximum of 10^90 bits could have been operated on in the last 14 billion years. In order to put such numbers into perspective, realize that the number of elementary particles (protons, neutron, electrons) in the physical universe is only 10^80. I have serious doubts—based on these numbers—that any input fails to be encoded in some way; but with what computer would we track all of that? position this more simply in terms of the fact that the storage capacity on just one human brain is equivalent to 10^8,419 modern computers. Its dense network of neurons apparently operates at a petaFLOPS or higher level. Yet the whole device fits in a 1-liter box and uses only about 10 watts of power
    It houses 200 billion nerve cells, which are connected to one another via hundreds of trillions of synapses. Each synapse functions like a microprocessor, and tens of thousands of them can connect a single neuron to other nerve cells. In the cerebral cortex alone, there are roughly 125 trillion synapses, which is about how many stars fill 1,500 Milky Way galaxies.
    http://reasonandscience.heaven.....f-all-time

    NIH Director: Each Neuron is Different – July 11, 2015
    Excerpt: Things are astronomically more complicated in the brain, as its “wires” are not merely a conduit of electrical charge but an incredibly complex cell called a neuron. And each neuron does not merely attach to two distant connectors, but rather to hundreds or thousands of connectors. And each connection is nothing like a simple soldering attachment. In the brain they are called synapses and with thousands of molecular-scale switches researchers compare them to microprocessors.
    But on top of all that, each neuron is different. A hundred billion different, unique neurons, each having a different, unique function. Each forming a different, unique set of synapses. We have not even begun to understand all of this neural circuitry, let alone how to design or build anything like it. And yet (Darwinists) insist it all must have arisen spontaneously, as a result of random mutations. That is not science, that is absurdity.
    http://darwins-god.blogspot.co.....erent.html

    Human Brains Have Always Been Unique – June 22, 2017
    Excerpt: ‘To truly understand how the brain maintains our human intellect, we would need to know about the state of all 86 billion neurons and their 100 trillion interconnections, as well as the varying strengths with which they are connected, and the state of more than 1,000 proteins that exist at each connection point.’
    – Mark Maslin
    https://crev.info/2017/06/human-brains-always-unique/

    The Human Brain Is ‘Beyond Belief’ by Jeffrey P. Tomkins, Ph.D. * – 2017
    Excerpt: The human brain,, is an engineering marvel that evokes comments from researchers like “beyond anything they’d imagined, almost to the point of being beyond belief”1 and “a world we had never imagined.”2,,,
    Perfect Optimization
    The scientists found that at multiple hierarchical levels in the whole brain, nerve cell clusters (ganglion), and even at the individual cell level, the positioning of neural units achieved a goal that human engineers strive for but find difficult to achieve—the perfect minimizing of connection costs among all the system’s components.,,,
    Vast Computational Power
    Researchers discovered that a single synapse is like a computer’s microprocessor containing both memory-storage and information-processing features.,,, Just one synapse alone can contain about 1,000 molecular-scale microprocessor units acting in a quantum computing environment. An average healthy human brain contains some 200 billion nerve cells connected to one another through hundreds of trillions of synapses. To put this in perspective, one of the researchers revealed that the study’s results showed a single human brain has more information processing units than all the computers, routers, and Internet connections on Earth.1,,,
    Phenomenal Processing Speed
    the processing speed of the brain had been greatly underrated. In a new research study, scientists found the brain is 10 times more active than previously believed.6,7,,,
    The large number of dendritic spikes also means the brain has more than 100 times the computational capabilities than was previously believed.,,,
    Petabyte-Level Memory Capacity
    Our new measurements of the brain’s memory capacity increase conservative estimates by a factor of 10 to at least a petabyte, in the same ballpark as the World Wide Web.9,,,
    Optimal Energy Efficiency
    Stanford scientist who is helping develop computer brains for robots calculated that a computer processor functioning with the computational capacity of the human brain would require at least 10 megawatts to operate properly. This is comparable to the output of a small hydroelectric power plant. As amazing as it may seem, the human brain requires only about 10 watts to function.11 ,,,
    Multidimensional Processing
    It is as if the brain reacts to a stimulus by building then razing a tower of multi-dimensional blocks, starting with rods (1D), then planks (2D), then cubes (3D), and then more complex geometries with 4D, 5D, etc. The progression of activity through the brain resembles a multi-dimensional sandcastle that materializes out of the sand and then disintegrates.13
    He also said:
    We found a world that we had never imagined. There are tens of millions of these objects even in a small speck of the brain, up through seven dimensions. In some networks, we even found structures with up to eleven dimensions.13,,,
    Biophoton Brain Communication
    Neurons contain many light-sensitive molecules such as porphyrin rings, flavinic, pyridinic rings, lipid chromophores, and aromatic amino acids. Even the mitochondria machines that produce energy inside cells contain several different light-responsive molecules called chromophores. This research suggests that light channeled by filamentous cellular structures called microtubules plays an important role in helping to coordinate activities in different regions of the brain.,,,
    https://www.icr.org/article/10186

    The only ‘reptilian’ thinking going on around here are Darwinists thinking that all that unfathomable complexity in the human brain is just an accident.

    Verse:

    Psalm 139:14
    I will praise thee; for I am fearfully and wonderfully made: marvellous are thy works; and that my soul knoweth right well.

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