john hawks weblog

paleoanthropology, genetics and evolution

brain function

  • Neuron theory

    Wed, 2012-05-16 20:49 -- John Hawks

    Ferris Jabr has begun a series called "Know your neurons", which will be a tour of the types of neurons. The first installment ("Know Your Neurons: The Discovery and Naming of the Neuron") covers the science that established the existence of neurons, in the late nineteenth century, when Santiago Ramón y Cajal used the staining technique developed by Camillo Golgi to visualize and draw detailed pictures of the microscopic cells. At issue was whether all the nerve fibers ultimately merged into a connected network, or reticulum:

    Golgi’s “black reaction,” combined with the painstaking work of Karl Deiters and others, clearly distinguished two kinds of projections from cell bodies in nervous tissue: a long slender cable that did not seem to branch much and a cluster of shorter branching fibers. Even though Golgi saw that one cell body’s branching fibers did not fuse with another’s, he did not reject Gerlach’s idea of the reticulum—instead, he decided that the long slender cables probably connected to form one continuous network.

    Ramón y Cajal showed that the fibers did not merge into a continuous reticulum, the essential data supporting the neuron theory. I'll look forward to more in the series.

  • Culture in the brain

    Sun, 2012-04-29 17:47 -- John Hawks

    The Guardian has a dialogue between David Eagleman and Raymond Tallis in which the two authors debate the importance of culture as a constraint on behavior. This paragraph is from Eagleman:

    Nonetheless, culture does leave its signature in the circuitry of the individual brain. If you were to examine an acorn by itself, it could tell you a great deal about its surroundings – from moisture to microbes to the sunlight conditions of the larger forest. By analogy, an individual brain reflects its culture. Our opinions on normality, custom, dress codes and local superstitions are absorbed into our neural circuitry from the social forest around us. To a surprising extent, one can glimpse a culture by studying a brain. Moral attitudes toward cows, pigs, crosses and burkas can be read from the physiological responses of brains in different cultures.

    I've just returned from the Consilience Conference organized by Joseph Carroll, a founder of the Darwinian school of literary analysis. I had some very interesting conversations about the way that culture may have come to influence the brains of ancient humans, and how gene-culture coevolution may have influenced a wide array of behavioral and cognitive traits of present humans. Over the next few weeks I'll be pointing to current research by some of the participants and some other useful lines of inquiry.

    Meanwhile, I have some catching-up to do here. Several recent papers have important consequences for how we think about the variation and population movements of the last 10,000 years. We can now dispense with 100-year-old speculation about migrations and movements because we have direct data from ancient populations. Razib Khan comments on last week's papers about the Neolithic population of Scandinavia ("Facing the ocean").

  • Anthropology 105, lecture 14: Brains

    Mon, 2012-04-09 13:00 -- John Hawks
    Synopsis: 
    Our large brains have many energetic and life history consequences

    This lecture covers the evolution of human brain size with its energetic and developmental consequences. I focus on the different pattern of early childhood development in humans relative to other primates and our extended childhood which is characterized by relatively slow growth in size but continued learning and brain maturation. The differences in the pattern of brain growth in Neandertals and recent people come into the end of the lecture.

  • Mailbag: Thrifty brains

    Thu, 2012-01-19 11:30 -- John Hawks

    Re: The thrifty brainotype.

    I have a question about your article "The thrifty brainotype" found
    at: http://johnhawks.net/weblog/topics/minds/philosophy/clark-2011-thrifty-b...

    Instead of having the whole brain evolve as a single type (information
    processing efficiency vs energy efficiency) why have only parts of the
    brain be one way or the other? Given our brain has evolved from much
    earlier brains, why couldn't a distant ancestor evolve a very energy
    efficient brain, a later ancestor evolve a visual processing portion
    that's extremely information processing efficient and then as we come
    into being take these pieces and keep some pieces and discard others?

    Is there any reason why the issue is being discussed as a single whole
    brain archetype, and not as a piecemeal "some of this and some of
    that" type?

    Thanks so much for this question. I agree entirely, on a functional and evolutionary level of analysis, there is no reason why different cognitive systems should be constrained in the same way. I take Clark's model as a heuristic of how "brain" might be organized along information processing lines, but I think the heuristic fails at the level of a whole organism.

    In contrast, the "expensive brain" heuristic really does apply at the organismal level because brain tissue uses energy, and the brain mass is a useful (if imprecise) way of considering energy consumption.

    I don't think we can break up the brain into functional modules uncritically, but there are only certain ways in which it is useful to consider it as a whole.

  • The thrifty brainotype

    Wed, 2012-01-18 23:58 -- John Hawks

    Andy Clark, a philosopher of the mind, has entered a useful essay in the NY Times online commentary section: "Do thrifty brains make better minds?"

    "Thrifty" in the headline refers to efficiency of information processing. That's a departure from the standard anthropological version of the story, in which "expensive brains" are optimized for energy efficiency. These ideas are not mutually exclusive: a strategy toward bit-saving might well reduce the neural overhead, so to speak. But a brain that follows a strategy of greatest information efficiency might in some respects be more energetically expensive. More important, an evolutionary process that results in a brain with high information efficiency might follow a very different pathway than a process that would give rise to high energy efficiency.

    Clark considers the philosophical implications of this "thrifty" model of neural processing, particularly as applied to the relative roles of perception and cognition:

    All this, if true, has much more than merely engineering significance. For it suggests that perception may best be seen as what has sometimes been described as a process of “controlled hallucination” (Ramesh Jain) in which we (or rather, various parts of our brains) try to predict what is out there, using the incoming signal more as a means of tuning and nuancing the predictions rather than as a rich (and bandwidth-costly) encoding of the state of the world. This in turn underlines the surprising extent to which the structure of our expectations (both conscious and non-conscious) may quite literally be determining much of what we see, hear and feel.

    Clark does not really touch on the evolutionary constraints that affected brain evolution. He discusses perception and cognition as related engineering problems for which efficient information encoding is the principal constraint. From this point of view, certain well-known perceptual illusions (he uses the "hollow-face illusion" as an example) make great sense.

    It may be more useful to rephrase the headline. Thrifty brains may not make better minds, but they do yield a certain kind of mind. There are some things about which it is better not to be fooled. In a world where the brain evolved under natural selection, we should expect some kinds of perception to be more subject to mental abbreviation and shorthand than others. Illusions give us not only insight into how our brains work, but also how they evolved.

    Meanwhile, human minds include much information that will not be found in other primates. This includes at least one modality of information (language) not found elsewhere in nature. It seems unlikely that our brains should have been optimized for processing this kind of information in the limited time available. The kinds of tricks visual perception uses to make visual processing more efficient may be analogous to "verbal illusions" in language processing, and maybe there is some evidence there about the pathway taken by language evolution. For a new perceptual modality to come into our population de novo, bootstrapping itself in every growing child, I expect that many steps along that pathway were determined by limitations and constraints.

    What we perceive today as elegant, natural selection created as simply as gravity creates a river. The water will flow downhill, every other parameter is free.

    Synopsis: 
    Were brains constrained by information efficiency, or energy efficiency?
  • Mailbag: Genetics of schizophrenia

    Sat, 2011-09-03 14:49 -- John Hawks

    Re: Schizophrenia

    I am watching/listening to your Teaching Co. DVD lecture series on Human Evolution and very much enjoying it. I graduated from Beloit College in '68 with a BA in Anthro, and while I have tried to keep up with new discoveries, it has been haphazard. Your lecture series really helps me appreciate what huge progress has been made in this field since 1968.

    I recently retired from a career in Mental Health. I have wondered why schizophrenia is so common amongst humans and have thought it might be like sickle cell anemia.
    A very small dose of the schizophrenia complex of genes might be connected to our use of symbolism and creativity. A large dose might create the dysfunction of psychosis.

    Thanks for your research and for being able to express the material with such clarity and energy.

    Thank you so much for your kind words! We put so much work into doing the best lectures possible, and I'm really proud of the result.

    Your question about schizophrenia is one that really strikes at what evolutionary biologists are thinking about the subject. We've been thinking with our work on recent selection in human populations that we might find some selected genes with side-effects on cognition. Many human geneticists have been looking for genes that explain the risk of schizophrenia, and we know that there are a few common gene variants that affect risk. But it appears that most of the risk must be explained by gene variations that are found in one or a few families. It seems to be a case of "every unhappy family is unhappy in its own way."

    That makes it hard to find and understand the genetic causes, but as we move toward whole-genome sequencing and more and more observations on different families, we will begin to understand more about the causes.

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Neandertals

For years, I've worked on their bones. Now I'm working on their genes. Read more about the science studying these ancient people.

Denisova

From a finger bone of an ancient human came the record of a completely unexpected population. My lab is working on the science of the Denisova genome.

Acceleration

The advent of agriculture caused natural selection to speed up greatly in humans. We're uncovering some of the ways that populations have rapidly changed during the last 10,000 years.

Malapa

Just outside Johannesburg, the Malapa site is producing some of the most exciting finds in human evolution. This site is the headquarters of the Malapa Soft Tissue Project.