Category Archives: brain

‘Neurosexism’ debated

Neuroscientist Larry Cahill takes issue with a Feb 2019 Nature favorable book review of Gina Rippon’s The Gendered Brain: The New Neuroscience That Shatters The Myth Of The Female Brain.

Cahill’s response prompted an interview by Medium Neuroscience writer Meghan Daum.

Scientific findings have a way of upsetting apple carts, especially when we consider our oft-demonstrated human capacity to bend science to advantage some power-coveting groups over others.

Valid research amply shows there are real differences in male and female neuroanatomy and functions. Honest science must follow the evidence where it leads. Clearly, any discovered differences cannot be allowed to justify unequal social or economic opportunities or treatment. Cahill compares the situation to genetics. That people differ genetically in a vast number of ways cannot be taken as cause to misstate scientific findings or preclude further learning about genetics.

There are times and circumstances in which certain research approaches must be blocked for humane or other reasons but that is a different argument than denying the findings of a body of research because they are uncomfortable or inconvenient.

Thoughts?

Ideas of Stuart Kauffman

If you are familiar with complex systems theorist Dr. Stuart Kauffman’s ideas you know he covers a broad range of disciplines and concepts, many in considerable depth, and with a keen eye for isomorphic and integrative principles. If you peruse some of his writings and other communications, please share with us how you see Kauffman’s ideas informing our focal interests: brain, mind, intelligence (organic and inorganic), and self-aware consciousness.

Do you find Kauffman’s ideas well supported by empirical research? Which are more scientific and which, if any, more philosophical? What intrigues, provokes, or inspires you? Do any of his perspectives or claims help you better orient or understand your own interests in our focal topics?

Following are a few reference links to get the conversation going. Please add your own in the comments to this post. If you are a member and have a lot to say on a related topic, please create a new post, tag it with ‘Stuart Kauffman,’ and create a link to your post in the comments to this post.

Book: Team Human by Douglas Rushkoff

Team Human by Douglas Rushkoff investigates the impacts of current and emerging technologies and digital culture on individuals and groups and seeks ways to evade or extract ourselves from their corrosive effects.

After you read the book, please post your thoughts as comments to this post or, if you prefer, as new posts. There are interviews and other resources about the book online. Feel free to recommend in the comments those you find meaningful. Also, the audiobook is available through the Albuquerque Public Library but may have a long wait queue (I’m aiming for a record number of ‘q’s in this sentence).

Please use the tag and/or category ‘Rushkoff’ in your new posts. Use any other tags or categories you want. To access categories and tags while composing a post, click ‘Document’ at the top of the options area on the right side of the editing page.

How to add a category to a post in WordPress sites using the Gutenberg editor

Any comments you add to this post should inherit the post’s categories and tags. Add any additional ones as you like.

Last, this site includes a book reviews app for registered site members. To use it, log in and select Review under the New menu.

Starting a new book review

ai will never conquer humanity

From this piece located at the publications page of the International Computer Science Institute.   “Mathematical models help describe reality, but only by ignoring its inherent integrity.” Computers work on binary logic and the world is full of  ‘noise.’ Hence computers, and mathematical models for that matter, can only approximate reality by eliminating that noise.

“Can a bunch of bits represent reality exactly, in a way that can be controlled and predicted indefinitely? The answer is no, because nature is inherently chaotic, while a bunch of bits representing a program can never be so, by definition.”

Which leads us to ask: “Are our mathematical models just a desperate, failed attempt to de-noise an otherwise very confusing, extremely blurred reality?”

So yes, math and computers are quite useful as long as we keep the above in mind instead of assuming they reveal reality as it is. And as long as we also search for that noisy humanity in the spaces between binary logic, which will never be revealed by math or computers alone.

how does music affect the brain?

The blurb:

“In this episode of Tech Effects, we explore the impact of music on the brain and body. From listening to music to performing it, WIRED’s Peter Rubin looks at how music can change our moods, why we get the chills, and how it can actually change pathways in our brains.”

For me the most interesting part was later in the video (10:20), how when we improvise we shut down the pre-frontal planning part of the brain and ‘just go with the flow,’ which is our most creative and innovation moments. This though does depend on having used the pre-frontal cortex in learning the techniques of music to get them so ingrained in memory that we are then free to play with what we’ve programmed.

Running on escalators

Ideally, automation would yield a Star Trek reality of increasing leisure and quality of choice and experience. Why isn’t this our experience? An article on Medium offers insight into why this is not occurring on any significant scale.

Evolved behavioral strategies explained by the prisoner’s dilemma damn the majority of humans to a constant doubling down. We exchange the ‘leisure dividend’ (free time) granted by automation for opportunities to outcompete others.

Apparently, the sort of reciprocal social learning that could lead us to make healthy choices with our leisure opportunities depends on us and our competitors being able to mutually track our outcomes across consecutive iterations of the ‘game’. That ‘traceability’ quickly breaks down with the complexity inherent in vast numbers of competitors. When we conclude that any viable competitor may use her leisure dividend to further optimize her competitive position, rather than to pause to enjoy her life, we tend to do the same. Each assumes the other will sprint ahead and so chooses to sprint ahead. Both forfeit the opportunity to savor the leisure dividend.

The prisoner’s dilemma shows that we (most humans) would rather be in a grueling neck-and-neck race toward an invisible, receding finish line than permit the possibility a competitor may increase her lead.

Any strategy that’s so endemic must have evolutionary roots. Thoughts?

The info processing (IP) metaphor of the brain is wrong

Psychologist Robert Epstein, the former editor of Psychology Today, challenges anyone to show the brain processing information or data. The IP metaphor, he says, is so deeply embedded in thinking about thinking it prevents us from learning how the brain really works. Epstein also takes on popular luminaries including Ray Kurzweil and Henry Markram, seeing both exemplifying the extremes of wrongness we get into with the IP metaphor and the notion mental experience could persist outside the organic body.

The Empty Brain (Aeon article with audio)

Neuroscience: Deep breathing changes your brain

Humans have some intentional control over our brains (and minds and bodies) and focused breathing is one of those control mechanisms.

“This recent study finally answers these questions by showing that volitionally controlling our respirational, even merely focusing on one’s breathing, yield additional access and synchrony between brain areas. This understanding may lead to greater control, focus, calmness, and emotional control.”

Ultrasound stimulation to improve brain function

Earlier this year I attended a presentation by Dr. Jay Sanguinetti, UNM, on using ultrasound stimulation of the brain to improve factors related to attention and clear thinking. His team published an article recently in Frontiers in Neurology describing their research.