Chapter 1: The Cognitive Approach: Foundations of Cognitive Psychology

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Welcome back to the Deep Dive.

We are so glad you're here with us today because we are tackling something that feels, well, it feels incredibly intuitive.

It's something you do every single day.

But as we're about to find out, it is actually a complex, constructed illusion almost.

It's one of those topics that once you really get it, you can't unsee it.

It changes how you look at, well, literally everything.

I want to start with a phrase that everybody knows.

I mean, you've heard it a million times, usually when someone is trying to be polite about a questionable piece of art or maybe a strange fashion choice.

The saying is, beauty is in the eye of the beholder.

They're classic.

Absolutely.

It's poetic, you know, it's romantic, and it implies that our personal perspective is what defines what's beautiful.

But we're looking at a text today, specifically chapter one of the classic cognitive psychology, that suggests this saying is, well, it's just wrong.

It is, yeah.

I mean, technically speaking, it's anatomically incorrect.

And the text we're diving into today makes a very sharp point about this right out of the gate.

If we're talking about where the experience of beauty actually happens, or, you know, the experience of anything for that matter, it's not in the eye.

It's in the brain.

The eye is just a lens.

The brain is the beholder.

The brain is the beholder.

I like that.

And that distinction really kicks off our entire mission for this deep dive.

We are doing a detailed summary of what's called the cognitive approach.

Exactly.

This is the foundation.

This is the chapter that sets the stage for how we understand the mind in modern psychology.

And the central problem this chapter identifies is it's kind of mind bending.

The world we experience, the trees, the cars, this microphone in front of me, it's all produced by the person experiencing it.

Exactly.

And I want to be very careful here because that sounds a bit like we're drifting into, you know, philosophy or some kind of deep skepticism.

Sure.

It sounds like the world isn't real.

Right.

But the text is very careful to say this isn't skepticism.

It's psychology.

There is a real world out there.

There are real objects, real light waves, real sound waves.

But the core assertion of the cognitive approach is that we have no direct immediate access to that world.

None.

None.

Zero.

That's a heavy concept to drop in the first few minutes.

No direct access because I mean it feels pretty direct.

I look at a coffee cup.

I see a coffee cup.

I don't feel like I'm solving a puzzle.

It feels direct, I know.

But that feeling is the result of a very fast, very complex process that's completely hidden from your conscious awareness.

And to explain why this is such a big deal, the text brings up an ancient Greek theory.

It's called eidola.

Eidola.

That sounds like a sci -fi villain or something.

It does, doesn't it?

But it was actually a theory of perception.

The old idea, and this persisted for a long time in different forms, was that objects would shed these faint ghostly copies of themselves.

These are the eidola.

They would flip through the air, enter your eye, and then travel directly into your mind.

So if I saw a cup, it was because a literal tiny ghost cup floated into my eyeball.

Essentially, yes.

That was the idea.

The thing in your mind was a direct one -to -one copy of the thing out in the world.

Which sounds completely ridiculous to us now.

It does to us, yeah.

But we still kind of intuitively act like that's how it works.

We think we just open our eyes and the world pours in like light through a window.

This chapter argues that the eidola theory is fundamentally false.

The mind isn't a window, it's a factory.

A factory.

Everything we know about reality is mediated.

It's filtered through your sense organs, and then it is interpreted and reinterpreted by these incredibly complex cognitive systems we don't just see.

We construct.

Okay, construct is the key word there.

That has to be the anchor for this entire episode.

So let's slow down and really unpack how this construction actually happens.

The text breaks this down into stages, starting with the input.

And to do that, it uses the example of something simple, like reading a page in a book.

Right.

It's a great example because reading feels so automatic to us now, but it's just unbelievably complex.

Let's look at the physical reality of reading.

If we strip away all the meaning, what is a page?

Physically?

Physically, it's a piece of paper.

It's got small mounds of ink on it.

Precisely.

Small mounds of dried chemical ink sitting on a reflective surface.

In the language of cognitive psychology, this physical object, the page sitting there on the desk, is called the distal stimulus.

Okay, let's lock that term in.

Distal stimulus.

Distal, you know, meaning distant, or just out there in the world.

It's the object itself.

So the book in my hand is the distal stimulus.

Yes.

But here is the critical catch.

You never actually interact with the distal stimulus Your brain never touches the page.

What happens is that light rays, say from a lamp, hit the page, they reflect off those little mounds of ink, and then they travel to your eye.

That pattern of light that hits your retina, that is the proximal stimulus.

Okay.

Proximal meaning close or near.

Exactly.

It's the stimulation happening right at the sensory organ.

So, distal is the object, proximal is the light hitting the back of my eye.

Why do we need two different terms for this?

I mean, isn't the light just a copy of the object?

You would think so, wouldn't you?

Yeah.

But this is where it gets really fascinating.

The text points out there's a huge discrepancy between the two.

The distal stimulus, the page, is stable.

It just sits there.

It has right angles.

The letters are static.

Okay.

But the proximal stimulus, the image on your retina is, for lack of a better word, a mess.

A mess.

In what way is it a mess?

Well, for one, it's constantly shifting.

Your eye is in a still camera.

It moves several times a second in these little jumps we call saccades.

The angle you're looking from changes constantly.

The lighting in the room changes.

If you tilt the book, that rectangular page becomes a trapezoid on your retina.

Oh, wow.

I never thought about that.

The proximal stimulus is a one -sided, fluctuating, distorted pattern that, at any given moment, often bears very little resemblance to the actual physical object.

That is wild.

The raw data my brain actually gets to work with is just this chaotic, shifting light show.

It's an unpromising beginning, as the text beautifully calls it.

That's such a great phrase.

Yeah, it is.

And yet, from that chaotic, shifting retinal image, you perceive a stable, readable page.

That gap, that massive gap between the chaotic proximal stimulus and the stable world you experience, that is visual cognition.

It's the whole game.

It's the process of bringing a stable world into being from these unstable inputs.

It puts a whole new spin on seeing is believing.

It's more like seeing is problem -solving.

Yes.

And it's not just vision.

The text is quick to mention that auditory cognition parallels this perfectly.

Okay.

How so?

Well, the distal reality might be a violin playing a concerto.

That's the physical event.

But the proximal input, what actually arrives at your ear, is just a fluctuating pattern of air pressure.

Just air molecules banging into each other.

That's it.

And somehow, your brain takes those raw pressure waves and constructs Mozart.

It constructs music.

It constructs speech.

That transformation is the miracle of cognition.

So, if cognition is this whole process of turning raw data into a coherent reality, we need a really solid, working definition.

And the text, it actually compares this to Freud, which I have to say I did not expect in a cognitive psychology book.

No.

It's a surprising comparison.

I thought we left Freud back in the 19th century.

Well, it's a structural comparison.

It's anything like that.

But Freud had a famous paper called Instincts and their Viscissitudes.

Viscissitudes.

That is a word you don't hear every day.

It's a wonderful word.

It means changes, transformations, the ups and downs of a process.

Freud's argument was that our basic instincts like hunger or aggression,

they don't just appear in our behavior raw.

They undergo these complex transformations.

They get repressed, sublimated, changed into something else that's socially acceptable.

So, we don't just act on a raw impulse.

The impulse gets processed and changed along the way.

Right.

And the author of our text here, Nyser, borrows that structure.

He suggests a really good title for this book could have been Stimulus Information and its Viscissitudes.

Ah.

So, instead of instincts being transformed, it's the information from the outside world that gets transformed.

Precisely.

And the text offers a very specific step -by -step definition of what happens to that information.

It lists a series of verbs that essentially define the entire scope of cognitive psychology.

The sensory input is transformed, reduced,

elaborated, stored, recovered, and used.

I want to walk through those verbs because they seem to cover the whole human experience.

Transformed, we just talked about light, into neural signals, air pressure into sound, but reduced and elaborated.

They seem kind of contradictory.

How can we do both?

They happen at different stages or, you know, in different ways.

Think about reduced first.

You cannot possibly process every single photon of light hitting your eye or every single background noise.

If you did, you'd be completely overwhelmed instantly.

Right.

Like when you walk into a loud party and at first it's just this wall of noise, but then you focus in on one conversation.

Exactly.

Your brain throws away a massive amount of data.

It filters.

It simplifies.

It decides that the feeling of your socks against your ankles isn't important right now, so it just deletes that sensation from your conscious awareness.

That's reduction.

Okay.

So we delete the noise.

We filter out the unimportant stuff, but then we elaborate.

That implies we're adding something that wasn't there.

Yes.

We absolutely add to the input.

We act on information that isn't actually present in the stimulus.

So for example, the text uses the case of partial occlusion.

If you see a cat's tail sticking out from behind a sofa, You see the cat.

Right.

You assume the rest of the cat is there, but what's on your retina?

Just the tail.

Your cognition elaborates that into a whole animal based on all your past experience.

You fill in the blanks.

We do this constantly with reading too.

If you see a typo in a word, often you don't even notice it.

Because your brain just fixes it.

Your brain fixes the word before you even become conscious of the error.

It autocorrects reality in real time.

We are constantly autocorrecting reality.

That's amazing.

We are.

And then of course, stored and recovered, refer to memory functions.

And finally, used.

All this processing eventually has to inform behavior making a decision, speaking a sentence, moving your hand.

Okay.

But here is the kicker.

The text says this definition is so sweeping, so broad, that cognition is involved in everything a human being does.

Everything.

There's no exception.

Every single psychological phenomenon is a cognitive phenomenon.

Even if you are hallucinating or dreaming or just sitting there imagining a sandwich, you are processing information.

You're retrieving stored data and elaborating on it, even without any direct sensory input.

So there is no non -cognitive part of psychology then?

Not according to this approach, no.

But the text does take care to distinguish itself from other ways of looking at the mind.

It brings up two major contrasting viewpoints that were dominant before this cognitive revolution really took hold.

Dynamic psychology and behaviorism.

Right.

Let's talk about the dynamic view first.

This is the why did I do that question.

Yes.

Dynamic psychology is all about motivation.

If you ask a dynamic psychologist why you ate a sandwich, they start with your goals.

Because I was hungry.

Because I wanted comfort.

They start with the motive and look at how that motive drives your behavior.

And how would the cognitive approach answer that?

The cognitive psychologist asks a totally different question.

They ask, how did you know it was a sandwich in the first place?

That's a very different starting point.

It is.

They start with a sensory input.

Yeah.

Because it looked like bread and meat.

Because it seemed to me to be food.

So one starts with I want and the other starts with I see.

That's a perfect way to put it.

Now the text acknowledges that motives matter.

Obviously, what you want to see can change what you do see.

If you're hungry, you're going to notice food more.

Sure.

But for the purpose of this deep dive and for this book, motives are mostly treated as independent variables.

We're studying the machinery of the mind, not the fuel that makes it go.

Okay.

So that's dynamic psychology.

But then we have the behaviorists.

You know, Watson, Skinner, the heavy hitters, who basically said we shouldn't be talking about minds or ideas at all.

Right.

The behaviorists were the strict materialists.

They argued that because we can't see thoughts or images or any of these internal processes, we shouldn't study them.

They thought it was all just speculation and, you know, not scientific.

They only wanted observable variables.

Only observable variables.

The stimulus that goes in and the response that comes out.

This is the famous black box theory of the mind.

Exactly.

They treated the mind as a black box.

You can see what goes in.

You can see what comes out.

But you are not allowed to peek inside and ask how it works.

And our text obviously disagrees with that.

Strongly.

The rebuttal here is actually pretty simple, but it's devastating to their view.

We must study cognitive processes because they are there.

Because they exist.

Because they exist.

Knowledge doesn't just appear out of nowhere.

If the eidola theory is false, if the world doesn't just magically jump into our heads,

then something must be transforming that input.

Ignoring that process isn't scientific.

It's just avoiding the most interesting question.

It's like saying I can see the raw ingredients go into the factory and I can see the finished car come out, so I don't need to know how the assembly line works.

That is a perfect analogy.

The cognitive approach is all about throwing open the factory doors and figuring out how that assembly line works.

Speaking of assembly lines and machinery, this brings us to one of the most interesting parts of the chapter for me.

The analogies.

The text makes a really surprising move here.

It admits that yes, consciousness depends on the brain.

Yes, it concedes that fully.

No brain, no mind.

It's biologically grounded.

But then it basically says, but we aren't going to talk about the brain.

It almost completely ignores physiology and biochemistry.

Why would it do that?

That seems like a huge contradiction.

It's not a contradiction so much as it's a choice of the level of analysis.

The author uses two really powerful analogies to explain why a psychologist doesn't need to be a physiologist to do their job.

The first one is the computer analogy.

Which, you know, we use all the time now, but I guess it was much fresher when this was written.

This is the whole hardware versus software debate.

Exactly.

Imagine you're trying to understand a computer program.

Let's say it's a spreadsheet.

You want to know how it calculates a sum?

How it stores a number?

How it formats a cell?

Do you need to know if the computer is running on silicon chips or magnetic cores or thin films?

No, not at all.

I just need to know the rules of the software.

I need to know the code, the algorithm.

Right.

The hardware, the physical stuff, is irrelevant to understanding the logic of the software.

The text argues that a psychologist is like someone trying to reverse engineer the program of the human mind.

We want to understand the utilization of memory, not its physical incarnation in brain cells or RNA molecules.

So, knowing that a memory is stored in a specific neuron doesn't tell us how that memory is retrieved when I smell, say, my grandmother's perfume.

Precisely.

It's just a different level of the question.

The second analogy drives this home even better, I think.

Economics.

The flow of capital.

Right.

Think about an economist who's studying the flow of money through a banking system.

Now, money has to have a physical form, right?

It could be gold or paper bills or checks or just digital ledgers.

But does the economist care about the atomic weight of gold?

No, of course not.

Does he care about the chemical corrosion rate of the paper that's used for dollar bills?

Definitely not.

Why not?

Because the economist is studying the interdependence among events.

He is studying the system of exchange, the abstract flow of value, the physical medium is secondary.

That really clicks for me.

So, cognitive psychology is like the economics of information.

We're studying how information flows, how it's exchanged, and how it gets transformed without worrying too much about the biological paper bills it's printed on.

That is the perfect synthesis.

It's the study of the flow and processing of information,

largely independent of its physical substrate, which happens to be the brain.

Now, you just mentioned information, and that word itself triggers another big topic in this chapter, information theory.

This was a really hot topic back then.

You hear about bits, channel capacity, Claude Shannon.

Oh, yeah.

It was the buzzword of the entire era.

Shannon, working at Bell Labs, defined information in a very specific mathematical way.

He said it was choice or the narrowing of alternatives.

And he gave us the bit, a binary digit, a simple choice between two equally likely alternatives.

And so psychologists tried to use this to measure the mind, right?

Something like, how many bits of information per second can a human process?

They did.

They really tried.

They tried to measure reaction time and memory span in bits.

But the text argues pretty strongly that this was, for the most part, a failure.

Why?

I mean, computers work in bits.

Why don't our minds work that way?

Because the bit was a unit designed for telephone lines.

And a telephone line is a passive channel.

It doesn't care if you're saying, I love you or you're reading a grocery list.

It just transmits the data.

It has no preferences.

But humans...

We are not passive.

We are not passive.

We are active.

We are selective.

We pay attention to what matters to us.

We recode information.

We reformulate it.

We ignore the background noise.

And we focus on the whisper.

A bit rate implies this steady passive flow.

But human cognition is lumpy and interpretive and biased.

So the text suggests we should move away from the idea of information measurement and stick with the computer program analogy instead.

Wait, can you distinguish those for me?

What's the real difference between measuring information and using the program analogy?

Well, a program isn't just a measure of volume like bits.

A program is a recipe.

A recipe.

It's a set of instructions.

It says, if the input is X, then do Y.

If the input is A, store it in bin B.

It's about process and logic, not just quantity.

Ah, okay.

So it's a recipe for thinking.

Yes.

And the text says this analogy provides a kind of philosophical reassurance.

Reassurance against what?

Against the fear that we're just talking about ghosts in the machine.

I mean, for a long time, talking about schemas or ideas or mental images felt unscientific because you couldn't touch them.

They seemed like nothing.

Right.

But a computer program proves that a flow of abstract symbols can control a physical machine.

It makes cognitive theory real.

If a script of code can run a computer, then a cognitive program can run a human.

It legitimizes the study of the invisible process.

Exactly.

And it gave psychologists a whole new vocabulary.

We started borrowing terms like parallel processing, feature extraction, and executive routine.

Now, we aren't saying the brain is a computer, but we're using these terms as powerful theoretical tools to describe what the mind is doing.

I like that distinction.

We aren't the machine, but the machine gives us the language to describe what we do.

But speaking of machines, the text has a bit of a warning about artificial intelligence, doesn't it?

And this is so interesting because we are living through a massive AI boom right now.

It is fascinating to read this perspective from decades ago.

The text argues very strongly against assuming that the computer models of that time, what they called AI, are accurate models of human minds.

And why not?

Because AI is too perfect.

Too single -minded is the way the text puts it.

It points out that artificially intelligent programs tend to be completely undistractable and unemotional.

They don't get bored.

They don't get frustrated.

They don't have bad days.

Humans are messy.

Humans are very messy.

We are emotional.

We get distracted.

We have fluctuating motives that change our goals from moment to moment.

So while the analogy of a program is useful, the actual simulation of a human mind by a computer was seen as a very, very long way off.

That brings us then to the core theoretical takeaway of this whole chapter.

If we aren't just passive telephone lines and we aren't perfect single -minded computers, what are we?

The text proposes what it calls the constructive theory.

This is the central assertion.

This is the big idea you're meant to leave with.

Seeing, hearing, remembering, all of these are active, dynamic acts of construction.

We build our reality from the ground up.

And it breaks this construction process down into two stages, which I found really, really helpful.

Yes.

Stage one is described as fast, crude,

holistic, and parallel.

Parallel, meaning it's all happening at once.

All at once.

Imagine you walk into a new room.

In a split second, before you even consciously focus on anything, you have a general, just like sense of room, people, furniture, light.

It's a rough draft of reality that's created instantly across your entire visual field.

OK.

So that's stage one, the rough draft.

Then comes stage two.

This stage is deliberate, attentive, detailed, and sequential.

This is when you consciously focus your attention on a specific face in the crowd.

You construct the details of that face through focused, effortful attention.

So we kind of act like a painter who first throws a big rough wash of color on the canvas, that's stage one, and then goes in with a fine brush to carefully paint the important details at stage two.

That is a beautiful analogy for it.

Absolutely.

And the text structures the entire book, and really the whole field of cognitive psychology, around this progression.

It starts with visual cognition, how we handle that initial iconic memory, or that first rough draft.

OK.

Then it moves to auditory cognition.

And finally, it gets to what it calls the higher mental processes.

Which are memory and thought.

Right.

Which the text calls the inner directed processes.

They're the hardest to study because they are the furthest removed from that initial sensory input.

They are almost pure construction, built from things we've stored and elaborated on before.

It really emphasizes that we are active participants in our own existence.

We aren't just passive cameras recording the world, we are.

We're the directors, the editors, and the special effects artists all at the same time.

We are.

And that is why the cognitive approach was such a revolution.

It gave us permission to finally look inside that black box and appreciate the incredible invisible work the mind does, just to keep the world feeling stable and real.

So let's wrap this up and recap what we've unpacked today.

This entire deep dive started with a simple but profound correction.

Beauty isn't in the eye, it's in the brain.

Correct.

We rejected the old idol of theory.

The idea that the world just enters our heads directly.

Instead, we established that we have to deal with the vicissitudes of stimulus information.

It's transformed, reduced, elaborated, stored, recovered, and used.

Well, all that, yes.

We drew a line in the sand between the cognitive approach and the behaviorists, who only wanted to look at the outside.

And the dynamic psychologists, who are mainly focused on motives.

We're the ones looking at the process.

And we use those two analogies, the computer and economics analogies, to explain why we don't have to be neurosurgeons to understand the mind.

We're studying the software, not the hardware, the flow of value, not the paper bills it's printed on.

And finally, we landed on the big takeaway, the constructive theory.

The idea that the mind builds our reality in two stages.

A fast, rough, holistic pass, followed by a slow,

detailed, attentive pass.

Which leads to a final thought I'd like you, the listener, to really sit with.

Let's hear it.

Think about this constructive theory in your daily life.

Right now, as you're listening to this, or as you look around the room you're in, you feel like you are just passively existing in the world.

But you aren't.

You are actively building it, moment by moment.

That feeling of continuity, that stability, that clarity, that is hard work your brain is doing, completely in the background.

If you stop and really pay attention to how your attention shifts, how you automatically filter out a background noise to hear my voice, how you can instantly recognize a familiar object, you can almost catch your mind in the act of construction.

You can catch yourself building your own reality.

That is a powerful thought to end on.

The world is a constant construction project, and you are the architect.

Thank you for joining the Last Minute Lecture team for this deep dive to the cognitive approach.

We'll see you next time.

See you next time.