Author: James Vornov

I'm an MD, PhD Neurologist who left a successful academic career on the Faculty of The Johns Hopkins Medical School to develop new treatments in Biotech and Pharma. I became fascinated with how people actually make decisions based on the science of decision theory and emerging understanding of how the brain works to make decisions. My passion now is this deep explanation of what has been the realm of philosophy, psychology and self help but is now understood as brain function. By understanding our brains, I believe we can become happier, more successful people.

Nikon Z7: The New Digital Benchmark

I ordered Nikon’s first mirrorless offering, the Z7 as soon as it was announced. I got one of the first shipments through my great local camera store, Service Photo here in Baltimore. I played around with it a little, and thought the image quality was the equal of the Nikon D850 in a smaller package. I had the FTZ adaptor to try my collection of Nikkor’s, but it kind of kills the small package. So when I traveled to Italy twice, I brought the Leica M10 as a small travel kit and one drive to Pittsburgh seemed best suited for the D850 since it has the tripod mounting plate attached.

But as I mentioned, I’ve returned to photography these last few weeks and when leaving the house I’ve grabbed the Z7 with the new 50mm f1.8 lens and I’m finding that the images I can produce are a level I’ve never seen before. With the 45 megapixels, lack of antialiasing filter and lenses with that really wide mount, I get an almost large format feel to lots of the images.

This image is a scene a see several times a week as I drive to the gym in Owings Mills on Park Heights Avenue. The winter landscape had that gentle light coming at me, so I stopped in the middle of the road, opened the door, leaned out and grabbed this image. There wasn’t any traffic behind me, but the rear LCD let me frame at that awkward angle, resting the camera on the window frame.

The only real post-proccessing trick in the image was converting the RAW image twice, once at normal exposure and one at two stops under to get as much detail in the highlights and sky as possible. So its a single exposure HDR image if you wish, converted to a chromatic grayscale image using Nik Silver Efex.

It’s one of those images that I know I saw, I know I captured, I know I coaxed this out of the RAW file, but can’t quite believe the result. So I’ll give the Z7 a lot of credit.

Winter Break Project: Photography

Every year during the Christmas – New Year period when work slows down, I usually take on a project. My first web page was built many years ago when I learned HTML for the first time. I had planned to work on my long term project to write a book based on my explorations here at On Deciding . . . Better, but somehow I fell back into photography again. My Capture1 catalog tells the story. Lots of casual iPhone shots with a few collections of images associated with travel. Newfoundland this past summer, Milan this fall. But not much real image production.

I played around with a few iOS image tools, thinking that if I got images onto the iPad, I might spend more time doing the digital darkroom work. Fortunately, I noticed in a B&H Photo email that my photographic mentor, Vincent Versace, was doing some live sessions int the B&H Event Space. The series 21st Century Composition Theory sounds like its the basis of a new book or two from Vincent. His Oz books are out of print now because of the demise of the publisher, Rocky Nook. The sessions are a fine example of his approach to photography, using techniques familiar to those who have worked through the Oz books. The first session: The Journey is the Destination, a Live Fire Demo of Post Processing an Image From Vincent’s Most Recent TripI s a tour of creating an image, from color management in camera, through RAW conversion, photoshop processing, and printing. The second presents a computation photography technique using Nikon’s “Focus Shift” called ExDR Extending the Dynamic Range of Focus and Bokeh (the quality of blur) and How to Shoot For It. And the last is The Conversational Portrait showing how using silent shooting plus facial recognition can change the way you shoot portraits. But really, in a way the focus of the sessions is beside the point. It’s really about the overall approach to image capture and the cinematic post-processing in Photoshop.

Watching those videos swung me back int image making. For me, it was reminder of how much of the interest in an image comes after the RAW file is loaded into the computer. My entire artistic pursuit is simply framing interesting visual encounters with a camera and pulling that through to an image that tells the story of why a viewer might find it interesting.

And I’ll gladly admit it’s much more accessible than my thoughts about decision making, so in some way a pursuit of the easier path to truth by looking at what works.

Why I Sold All of My Apple Stock After 14 Years

Back in the day, I used to discuss investing and my portfolio here at OD…B. But the last 10 years have been uninteresting with an unrelenting bull market recovering from the disaster of the 2008 financial crisis up through the 2016-2018 “Trump Trade”. I believe that the run is coming to an end as the globalized economy splinters and Nationalism rises in the world.

Back in 2004, in the aftermath of the 2000 DotCom crash, I bought Apple stock. I had sworn never to invest in that failed company again, but with the success of the iPod with those white earbuds combined with the new iTunes Music Store, I bought into Steve Job’s vision of the Mac as a Digital Hub. In the end it was the iPhone that drove Apple valuation to it’s current stratospheric heights as the largest company by market cap.

Over the last few years, I began valuing Apple as a typical blue chip, based on its dividend payments. Apple became a huge company that was going to be judged on growing earnings and paying out a portion of the profits to investors. Apple’s been paying a dividend for about 5 years now. Initially yielding 2.5%. It’s been in a general range of 2 to 1.5%, but reached as low as 1.2% a few months ago as the market peaked. I looked at that and took it as a clue that the stock was overvalued.

Now this is combination with the original investment thesis I had in Apple, as the center of the home computing ecosystem. And the iPhone/iPad/Mac combo has done just that for me over the years. That iPhone camera connected to social media has killed both the camera industry and professional photography. The Apple Watch has decimated the mid price quartz watch market. But at this point, I don’t see the growth driver. I think the iPhone X is a nice iteration, but I see lots of older phones out there and a sentiment that some of this technology is just unnecessary. There’s a reaction against social media and connectedness.

And Apple has not introduced a new category killer since the Watch. The AirPods are a nice accessory and I seem them everywhere now. The HomePod and AppleTV haven’t gained real dominance because the streaming services and cable companies can’t be displaced by hardware.

Worse, Apples strategy of pushing prices up is now seeing consumer resistance. And if economic times turn tougher, it will be a completely untenable strategy. For years we’ve had stable prices for electronics with gradual improvement that made upgrading worth it from time to time.

So, I believe Apple’s stock price will fall back to where the dividend yield supports the value, back to yielding in the the 2 to 2.5% range. Then I’ll be a buyer as long as the company remains strong and the product lineup attractive.

Waiting for Brain Science

It was back in High School that I became fascinated by the workings of the mind. I was doing lots improvisational theater and acting in plays and saw how I and others could transform into new identities at will. I realized that we did this in everyday life as we slipped between hanging out with friends and behaving (or not behaving) according to norms in school. Mind altering substances were everywhere, so reality could be easily demonstrated to be a mental construct, not the universal truth we all pretended it was.

Eventually, I put the arts into the background of and pursued the science of mind. A combined MD / PhD program led to training in Neurology and now a long career in developing new treatments for brain diseases. Given the state of cognitive science at the time, the practical pursuit of understanding neurological disease seemed more likely to lead to a real contribution.

I now have the luxury of returning to exploring cognitive science 30 years later. Real progress has been made on many fronts, much remains obscure. I’m particularly struck by how clearly we see the process of perception of complex scenes and symbols. When I was in college we were just beginning to understand the tuning of neurons in the primary receiving areas of the cerebral cortex. Now we have a picture of how shapes and words are recognized in the visual regions of brain through activation of tuned networks across the regions of cerebral cortex devoted to sensing the visual world.

Decision making plays a very specific role in the sensory systems. If the system is primed by a preceding stimulus, say a lion’s roar, the sensing areas are readied and more likely to detect a cat among the noise. Or, deciding to look for the color red, suddenly every red shape jumps out from the background, even though just before they were just part of the background.

Most remarkably, these sensory decisions take place in primary receiving areas, preventing the perception of anything else. And these decisions generally are not at all accessible to consciousness. We’re not aware of how we change our perception to fit context since it occurs via basic feed-forward mechanisms.

This is unconscious bias, but of a sort never imagined by philosophers and sociologists. It’s built into the apparatus of perception from the very first steps of visual perception, impossible to control directly, just influenced by the ongoing flow of brain action and reaction.

Not really where I thought cognitive science would end up, making deciding better so much more difficult if the decision process begins by these brain circuits determining what is seen in the first place.

Mental Events Can’t “Cause” Anything

A quick note: There are some questions that can’t be asked because they make no sense. Posing the question seems to lend legitimacy to the underlying assumptions, when the premise of the question is false to begin with.

I think this is true of our questions regarding the existence of free will and the cause of consciousness. As choice and the experience of choice are processes of the brain, asking how mental events can control brain processes is just asking how one brain process can lead to another brain process. It’s really not a useful question.

While in some sense it may be a category error, trying to combine two categories into one question, it seems more just based on an illusion from introspection, much like asking how does the sun go around the earth when really we know that the earth rotates. It’s the question that’s at fault, not some missing stuff that makes up the “qualia”.

Bye Blogroll

I just deleted the Blogroll from the site template. I doubt it will be missed.

The blogroll is a charming throwback to a time when the web consisted of individual sites like this one. We all linked to each other as a community trying out the new publishing medium of the World Wide Web. Came the RSS reader followed by the social network revolution and we’re all looking at Twitter or getting email newsletters from subscription supported sites.

And yes, most of the links in my now Blogroll turned out to links to shuttered or inactive sites. Even the mighty dangerousmeta!: is no longer updated.
Garret wrote in his last post:

Blogs, I found, are swiftly becoming broadcast-only devices. Discussions are spread out over Facebook, Twitter, Slack, Signal … and many other services. Often hard to predict where a person will choose to elucidate their blog postings.

Garret notes that there are some other ways to go- like writing a book, a form that seems to have survived a few centuries in spite of movies, TV and podcasting.

I’ve always described this blog as a “Personal Journal”. I have almost twenty years of intellectual exploration, hobbies and nonsense cached here. All searchable and available to anyone who cares to look. I’ve had more readers here than most pre-internet authors even though my writing has tended to somewhat obscure most of the time.

Maybe for sentimental reasons I treasure having an instant publishing platform, even if the readership amounts to a few dozen individuals.

Reading: “Phi: A Voyage from the Brain to the Soul” by Giulio Tononi

Language continually asserts by the syntax of subject and predicate that “things” somehow “have” qualities and attributes
Mind and Nature: A Necessary Unity
Gregory Bateson

Phi: A Voyage from the Brain to the Soul  by Giulio Tononi is an odd introduction to “Integrated Information Theory” (IIT). I came to it having read some of Tononi’s work and the collaborations with Koch and Edelman, so I was hoping to gain a more intuitive feel for how they want to constitute an axiomatic construction of how the experience consciousness arises from brain activity based on information theory and integration.

I can’t really recommend the book as either an introduction or as an aid to understanding IIT intuitively. It’s written poetically, as a series of vignettes involving Galileo being guided by cognitive echoes of figures in philosophy and neuroscience. Echoes, as in Tononi’s vague re-imaginings of them in his own mind rather than real historical figures grounded in the thought and social context of their own time and place. There are notes that provide some explanation and context, but the whole thing reads as a way to avoid simple, straight explanation of the theory.

I did find the book useful as an introduction to some of the fundamental relationships between brain and consciousness. In the vignettes, Tononi nicely describes the mosaic nature of consciousness, distinguishing the difference in the experience of being in the dark (where there is visual world without content) and being cortically blind (where the visual world is actually missing from consciousness). When I was in medical school, cortical blindness was compared to “what it looks like behind your head”. There’s no vision there; it’s not black or unclear, it just isn’t. Similarly, there are vignettes on dementia, development and “brain in a vat” thought experiments that are useful in determining the size and shape of mind.

Maybe ITT is just dressed up dualism

In the end, I find ITT totally unconvincing. I actually think it’s really just dualism masquerading as a theory of emergence. When Tononi writes this, he gives the game away:

How can we be responsible for our choices, if how we choose is determined by brain and circumstance?

As the Bateson quote at the top puts it better than I could, we are used to a world of things, so want mind to “exist” some how. We want free will to be mind controlling brain, when the truth is that mind is what brain does, so there’s no way a process of a thing can control the thing. It is the thing. IIT tries to bring mind into existence , like trying to bring a baseball game into existence when there are just the players, field, bats and balls. Sure we want to say “I saw a baseball game” when it’s more accurate to say “I went to the stadium to watch baseball players play nine innings.”

Bateson and others accurately point out that this experience of mind actually occurs out when the brain interacts with the world, a world that includes some what miraculously other brains of almost the same construction. Brain inhabits a physical world of chemicals and planets and energy and things, but it also inhabits a semantic world of language, emotion, baseball and blogs.

Maps and Legends: Brain as world model

##Can you map decision theory onto brain mechanisms?
It’s clear brain doesn’t make decisions in the way that’s been formulated as “rational” by decision theory. You won’t find branching decision trees composed of options and there’s no probability calculation that weights the potential payoff of different options. It’s a complex system built of networked neurons, quite opaque as to where it hides meaning. Yet somehow the brain makes decisions that within limits appear pretty optimal.

##Are brain maps central?
It’s been known since the beginning of modern neuroscience that the cerebral cortex is organized as a series of maps. There are maps of the body surface in primary sensory area for touch, maps of the retina for vision, and tonotopic maps for hearing. Of course the the primary motor cortex responsible for fine movement is mapped across the body.

Flattened out, it’s an area of about 2.5 square feet, but we see it it folded into gyri to fit compactly in the scull. Other than the sensory maps, the rest of the cortex, the “association areas”, doesn’t have explicit physical maps, but instead maps other kinds of space- either movement or meaning much of which is still bound to a sensory or motor channel- vision (by far the largest in the human brain), touch, etc.

Perhaps these interconnected maps of the world are central to to decisions are made in the brain, because we experience consciousness as a representation of the world through these maps. It’s as if the brain is a simulation of our body moving through space. The global simulation I’m thinking about isn’t just a sensory image of the world built of reflected light and air pressure changes, it includes implicit understanding of physics and meaning (semantics) built into it. See an apple and know that it is something that doesn’t weigh much and is good to eat. It seems attentional mechanisms limit our access to everything going on across the cortex because of limitations on working memory or other real time control mechanisms, but the simulation is there to provide the options for action available moment to moment.

So maybe map is a bit limiting as a term. That’s the two dimensional representation of the skin or the retinal or the scale. The brain assembles that raw information into shapes and objects with qualities like color and geometry that don’t vary by quality of illumination or by angle of view. We actually see letters and words event though language is metadata cued by visual input.

##Content, not mechanism of mind
While I like the map analogy, I’m not enthusiastic about “theories of consciousness” in general. I think they are mostly category errors where someone tries to explain an emergent observation, mind, in terms of the component parts of the system, neurons and networks. It’s useful to try to understand underlying mechanisms, but fruitless in general to go the other way. I can tell you how a clock moves in a regular pattern so that I can tell the time. A clock however doesn’t have in it the idea of time or hours or late for my next appointment.

This was the challenge understood by early systems theory thinkers. As they saw very simple robot systems evidence complex and unpredictable behavior, they quickly realized that while the behavior was contained in the system, it hadn’t been designed in and wasn’t there explicitly. Each part has a limited part to play, but in interacting a complex behavior emerges. No individual ant knows how to signal to others how to get to a food source or build a network of tunnels. Implicit knowledge is built into each one. The DNA of a single cell has all the information needed to build a whale or a platypus. But no one reading the string of nucleotides would imagine there was a potential mammal there.

I’d put the theorizing of Tozzi, Friston and others into the systems theory camp. For example in Towards a Neuronal Gauge Theory, they attempt to formalize this mapping idea, casting the brain in the role of minimizing uncertainty about the external world. In fact they cite Conant and Ashby’s good regulator hypothesis [34], which states that every good regulator of a system must be a model of that system.

##Where choice comes from
So choice is implicit in the brain’s modeling of the world. The maps provide the options, values and probabilities that have been formalized as decision theory. There’s a neural calculus going on, but one that is far from the small world of even our most sophisticated models and mathematics. Fundamentally, The brain is a functioning part of a bigger system that includes other brains and a real environment that feeds a network of meaning and physical complexity that can’t be captured in the static numbers we use for computation.

Lessons in Science and Culture

John Nernst at Everything Studies provides a long and thoughtful analysis of a discussion of a dangerous idea: A Deep Dive into the Harris-Klein Controversy. I think it’s worth a comment here as well.

As a neuroscientist and reader of all of these public personalities (Charles Murray, Sam Harris and Ezra Klein), I’ve followed the discussion race and IQ over the years. We know that intelligence, like many other traits like height or cardiovascular risk are in part inherited and influenced strongly by environment. Professionally, I’m interested in the heritability of complex traits like psychiatric disorders and neurodegenerative diseases. The measured differences in IQ between groups falls squarely in this category of heritable traits where an effect can be measured, but the individual genes responsible have remained elusive.

I’m going to side with Erza Klein who in essence argues that there are scientific subjects where it is a social good to politely avoid discussion. One can learn about human population genetics, even with regard to cognitive neuroscience without entering into an arena where the science is used for the purpose of perpetuating racial stereotypes and promoting racist agendas of prejudice. That the data has a social context that cannot be ignored.

Sam Harris, on the other side of the argument, has taken on the mantle of defender of free scientific discourse. He takes the position that no legitimate scientific subject should be off limits for discussion based on social objections. His view seems to be that is that there is no negative value to free and open discussion of data. He was upset, as was I, at Murray’s treatment at Middlebury College and invited Murray onto his podcast. Sam was said by some to be promoting a racist agenda by promoting discussion of the heritability of IQ in the context of race.

In fact, Ezra Klein joined the conversation after his website Vox published a critique of the podcast portraying Harris as falling for Murray’s pseudoscience. But that’s nothing new really; Murray surfaces and his discussion of differences in IQ between populations is denounced.

As one who knows the science and have looked at the data, it bothers me like it bothers Harris that the data itself is attacked. Even if Murray’s reasons for looking at group differences is to further his social agenda, the data on group differences is not really suprising. Group differences for lots of complex inherited traits are to be expected, so why would intelligence be any different than height? And the genes responsible for complex traits are being explored, whether its height, body mass index or risk for neurodegenerative disease. Blue eyes or red hair, we have access to genomic and phenotypic data that is being analyzed. The question is whether looking at racial differences in IQ is itself racist.

I’ve surprised myself by siding with Klein in this case. His explanation of the background is here and his discussion after his conversation directly with Harris is here. Klein convincingly makes the argument that social context cannot be ignored in favor of some rationalist ideal of scientific discourse. Because we’re human, we bring our cultural suppositions to every discussion, every framing of every problem. Culture is fundamental to perception, so while data is indifferent to our thought, the interpretation of data can never be free of perceptual bias. Race, like every category we create with language, is a cultural construct. It happens to be loaded with evil, destructive context and thus is best avoided if possible, unless we’re discussing the legacy of slavery in the United States, which I think is Klein’s ultimate point.

Since these discussions are so loaded with historical and social baggage, they inevitably become social conversations, not scientific ones. Constructive social conversations are useful. Pointless defense of data is not useful; we should be talking about what can be done to overcome those social evils. No matter how much Sam would like us to be rational and data driven, people don’t operate that way. I see this flaw, incidentally, in his struggle with how to formulate his ethics. He argues with the simple truth that humans are born with basic ethics wired in just like basic language ability is wired in. We then get a cultural overlay on the receptive wiring that dictate much of how we perceive the world.

Way back when, almost 20 years ago, I named this blog “On Deciding . . . Better” based on my belief that deciding better was possible, but not easy. In the 20 years that have passed I’ve learned just how hard it is to improve and how much real work it takes. Work by us as individuals and work by us in groups and as societies.

Why I don’t blog more

We’ve recently seen some long running blogs shut down and some reflections about the value of blogging in the era of Twitter, Facebook and Instagram. Here are my thoughts.

I’ve had this site up an running for almost 20 years now. It was part of that first wave of enthusiasm in late 1999 when tools became available to write text, up load photos and link to other writers. I had previously written for another site, The Motley Fool, mostly hosted on America OnLine (AOL) that had evolved out of active message board activity.

At the time, I had become interested in Decision Theory, so it was a natural topic to embrace when I started writing. Of course a lot of what I wrote then was part of the conversation we were all having between our blogs. These were conversations that you could join only if you had your own site.

As my interests shifted and my ideas developed, I found it harder and harder to write a few paragraphs that expressed ideas coherently. It seemed to be a conversation I was having with myself in front of a small group of readers. It was simpler to have the conversation completely in private in my notebooks and text files rather than present them here.

We know that writing for others is more than just communication. It serves to sharpen, refine and clarify the ideas of the writer. I know that I’ve understood an idea better when I’ve taught it to someone else or written about it.

So perhaps in the end, ODB is for me, to share with you. I’m reading William James: In the Maelstrom of American Modernism a biography by Robert Richardson. Richardson writes intellectual biography by looking at what James read and his notes and journals that document the intellectual journal. I can look back over the years of ODB and see what I was reading and see the sweep of my own journey through these ideas of brain, mind and decision. On balance, it’s been valuable and I expect to keep it up for the foreseeable future.