Notes on 71/2 Lessons About the Brain by Lisa Feldman Barrett
The half-lesson: Your Brain Is Not For Thinking
Myth: The human brain's primary function is thinking through things logically to weigh options / come up with solutions / etc.
More accurate: The brain's primary objective is resource allocation / management. Allostasis -- thought processes, the experience of emotions, etc. are in service of this?
Lesson 1: You have One Brain ( Not Three )**
Barrett discusses the myth of the triune brain, formalized in the mid-twentieth century by Paul MacLean, who was working with the tools we had at the time, visual inspection. He saw parts in human brains that appeared to match parts of lizard brains, parts of mouse brains, etc. and determined that the parts that didn't match in appearance were unique to our species. Now, we have the ability to see neurons and can see that they're genetically similar across species. The difference appears to be the time allocated to the development of each "part" of the brain (revisit this). With mouse instructions, x amount of time is spent on Y formation and this makes mouse brain. In humans, x-times-whatever-multiplier is spent on Y formation, which leads to new parts of brain growth and the function of neurons is re-allocated to different parts and you have a more complex human brain. Note that the idea that humans have a huge neocortex is false. Proportionally, considering time allocated to its development, it's normal / on par with other animals.
Ex. there are common brain-manufacturing plans and they are all the same and they run processes. For different animals, each part of the manufacturing process runs for a specific amount of time and this is what produces different creature brains. ???
The misunderstandings described led to the misnaming of the neocortex in humans (it's not new) and to the misconception that humans have a three-part brain: "lizard brain" (survival) / limbic system (emotion) and neocortex (reason).
The Triune Brain Myth persists in our laws and our anecdotal understanding of human behavior. Ex. someone experiencing extreme emotion not being responsible for their actions according to a criminal court, self-help processes for wrangling "lizard brain" so rational brain wins, etc. More example uses (some in the text some from external sources):
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Therapy
- Psychoeducation: Explaining why the thinking mind shuts down during panic
- Regulation: Calming physical survival reflexes before trying talk therapy
- Self-Compassion: Destigmatizing involuntary fear responses like freezing
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Law
- Culpability: Explaining impulsive "heat of passion" crimes
- Testimony: Normalizing fragmented memories in trauma survivors
- Sentencing: Advocating for juveniles based on incomplete brain development
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Business
- Neuromarketing: Targeting survival instincts to trigger impulse buys
- Leadership: Managing workplace panic during corporate crises
- Negotiation: Keeping clients calm so they can think logically
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Ethics
- Tribalism: Showing how fear-mongering turns off empathy
- Biases: Tracking how gut reactions overpower rational ethics
Example given re: crime / emotion then elaborated on: "But feeling distressed is not evidence of being irrational or that your so-called emotional brain has hijacked your supposed rational brain. Distress can be evidence that your whole brain is expending recources toward an anticipated payoff." It feels like there is a hole, is your whole brain expending its resources toward an anticipated payoff, in her view, rational / is that how she's intending us to read that part? Knee-jerk that I experience is "whole brain expending its resources toward an anticpated payoff" does sound like there are no resources for "rational thinking" but I think she's trying to show us that "rational thinking" isn't its own separate process. Come back to this after finishing the book.
Lesson 2: Your Brain Is A Network**
This is literal. We are flush with metaphors but this is not a metaphor. This chapter brought me back to the popularity of saying "you only use 10 of your brain" -- complexity depends on this. Meatloaf Brain refers to an imaginary model where all neurons talk to all other neurons, I imagined this as "using 100% of the brain". It's not complex. Pocketknife Brain is an imaginary model that's more in line with phrenology, where a part of the brain is mapped 1:1 to a function in the body, also not very complex. I think of the cortical humunculous. A truer representation might be imagining many overlapping lightning strikes in different configurations. The space between neurons is a synapse. Neurotransmitters and neuromodulators are the chemicals that facilitate or impede (not A or B, more like a conductor, electrical, on one end and bad weather on the other). Dopamine, serotonin, etc. If you reach for something in front of you, then do it again, identically, the way the network of 128 billion neurons configures to make it happen can change / do it differently. This is called "degeneracy". "...multiple degenerate neuronal systems can sustain the same function either via similar mechanisms or by implementing different cognitive strategies".
Degenerate -- how did we get to this word as an insult? Hah.
What's actually happening between neurons when they "fire"
- What travels down the first neuron: Ions moving in a wave.
- What crosses the gap: Neurotransmitter molecules.
- What gets triggered in the second neuron: A new wave of ions.
Synaptic Neuro-Transmitter-Gated Receptors. Also called Ionotropic Receptors.
The gate's closed, a neurotransmitter (a chemical) slides into the receptor, the gate opens.
Lesson 3: Little Brains Wire Themselves to Their World
What's learned here: why tiny humans being born as little lumps that cannot control their limbs is advantageous when it comes to perpetuating culture and learning how to direct attention to their niche. Follow the gaze of the caretaker: what's important? Of all the input I'm receiving as a baby blob, I rely on my caretaker to direct my attention to what's important for my body budget. The caretaker also helps me manage this until my agency is online and I can provide for myself.
Lesson 4: You Brain Predicts (Almost) Everything You Do
Your brain is predicting what's coming next. Example given: Pavlov's Dog. The dog isn't salivating because of the metronome, it's salivating because the metronome helped its brain predict that it was about to be time to eat, and its body prepares. That feels a little "duh" but what's fascinating is what she describes later -- if you brain successfully predicts what's going to happen, it has no use for incoming sensory data. Is it the case that without novelty, we stay inside of a hallucination? Novel things are also a hallucination but they're not a pre-conceived one based on experience. What happens when the prediction model is upset? Is this the actual job of the Salience Network, to adjust the hallucination based on a mismatch of incoming sensory data / the prediciton model? "Look", because it doesn't fit the model? What does this mean about thoughts that "suddenly become important"?
Prediction Mismatch Workflow Options
Learn
- Incorporate sense data from the ouside world
- Update predictions
- Construct a new experience that matches sensory data
Fuck up, then learn if you're lucky?
- Maintain hallucination against prediction
^^^ would the second option be because the constructed reality is high-risk? Or essential to survival? AKA seeing a large dropoff on a trail where there is none, or seeing someone with a gun when they really have a stick (this is the example from the book).
Our brain is wired to initiate actions before we're aware of them. Our actions are under the control of our memory and environment. Of course, here comes the Free Will discourse.
Free Will has a lot of paper dedicated to it but I cannot understand what it really means. More on this later.
Lesson 5: Your Brain Secretly Works with Other Brains
Your brain burns 20% of your body's metabolic budget -- I want to understand this. Around 350-450 calories a day. Most of this is just keeping things running, cognitively difficult tasks can cause a 10%-15% increase in total energy spent (according to one source this isn't a significant alteration). Feeling exhausted after a difficult work day / hard learning day is more likely caused by stress. Is that accurate? Earlier in her book she said that cortisol spiking can increase the availability of glucose needed for the brain to learn. Is this why work is stressful in the specific way it feels stressful to me, because I'm learning?
The properties of affect or mood
Activated or deactivated Pleasant or unpleasant
Lesson 6:
Having a small epiphany / tip of the tongue moment -- she's talking about how our brains create social reality and we live by it. Imagining humans operating such that we don't cross borders, we drive on roads, organized hubs for air travel and power etc. And then also thinking about her example with Meatloaf brain -- how a brain in which every neuron can fire with every other neuron is less complex than a brain where every neuron can only fire with some other neurons.
Are the characteristics and limitations of our social reality analogous to the limitations of our neurons' ability to co-fire? This might come together for me after sleep. There are threads to pull re: global information and social media but I wonder how Meatloaf-life that really is. I could just be imagining that it's Meatloaf-ish because it's my experience / must be everyone's.