LECTURE FOURTEEN Flashcards

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1
Q

BEHAVIORISM

A
  • Focus on observable behavior
  • Mostly focused on learning
  • What is learning?
  • Associating stimulus with response
  • Associating concepts with other concepts (semantic
    network)
  • Associating inputs with outputs (machine learning)
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2
Q

FORMING ASSOCIATIONS

A
  • Key with learning is to associate things together
  • From classical conditioning to elaborative encoding
  • Hebbian learning
  • Neurons that fire together wire together
  • Correlative, associative learning
  • Note this type of basic associative learning is very sensitive to correlation – but not cause
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3
Q

CLASSICAL CONDITIONING

A
  • Unconditioned stimulus (UCS)
    Some stimulus that elicits a natural behavior response
  • Unconditioned response (UCR)
    The response elicited from the UCS
  • Conditioned stimulus (CS)
    Some stimulus that doesn’t elicit the UCR originally (neutral stimulus), but will after training
  • Conditioned response (CR)
    The same initial UCR now elicited by the CS after training
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4
Q

CLASSICAL CONDITIONING (CC)

A
  • Pair CS (bell) with UCS (food) to elicit UCR (salivation)
  • CS (bell) becomes associated with UCS (food)
  • After repeated pairings, CS (bell) now elicits CR
    (salivation)
  • CS now associated with UCS (triggers CR because UCS
    triggers UCR)
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5
Q

ASPECTS OF CC

A
  • Aspects of conditioning:
  • Acquisition – learn CS/CR association
  • Extinction – remove UCS – now CS/CR association
    weakens
  • Recovery – restoration of CS/CR association (can be
    elicited by repairing UCS with CS, or spontaneous)
  • Generalization – stimuli similar to CS can also elicit CR
  • Discrimination – stimuli different to CS do not elicit CR
  • Note that generalization and discrimination are in
    contest for any CS
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6
Q

OPERANT CONDITIONING

A
  • No longer passive association – now the animal must
    “do” something (“operate”)
  • Basic procedure
  • Animal performs some action
  • Animal is rewarded for this action – behavior reinforced
  • Animal is punished for this action – behavior undermined
  • Reinforced behaviors become more common and sought out, undermined become less frequent and avoided
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7
Q

PLEASURE

A
  • Electrical stimulation of certain brain regions leads to acute pleasurable feeling; rewarding sensation
  • Reward circuit in the limbic system
  • Mesolimbic dopamine pathway
  • VTA to nucleus accumbens
  • Rats (and people…) will compulsively “press the lever”
    when it stimulates this area
  • Appears like addiction
  • Rats will forego food (and starve) in favor of stimulation
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8
Q

REWARD CIRCUIT

A
  • Purpose of the reward circuit
  • Provide behavioral sense of reward upon fulfilling unmet biological need
  • “Reinforcers”
  • Food, sex, comfort/safety, belongingness
  • Can be more abstracted; money, high fives, Instagra followers
  • Tightly linked with learning and memory
  • Hippocampus, amygdala
  • Must learn/remember what you did to achieve reward
  • People, places, objects, activities, actions all become associated with reward
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9
Q

LEARNED HELPLESSNESS

A
  • What if, no matter what the animal does, they are
    punished?
  • Learned helplessness
  • Punishment regardless of action
  • No way to avoid punishment
  • After some time, animal will no longer “try”
  • Animal has learned that it is helpless
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10
Q

LEARNED HELPLESSNESS THEORY OF DEPRESSION

A
  • Is this what is happening in depression?
  • Bad things happen to a person and are judged as completely outside their control
  • Chronic, un-relievable stress is like unavoidable punishment
  • Nothing the person does avoids punishment
  • Natural response? Stop trying and accept it – learned helplessness
  • Note this is much more than sadness - “Why bother”
  • How to treat? Cognitive therapy and/or drugs that promote learning/unlearning (plasticity and neurogenesis)
  • Antidepressants and psychedelics both have this in common
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11
Q

DRUGS AND BEHAVIORISM

A
  • Drugs are “natural reinforcers” – DoA operate directly on brain’s reward system
  • Thus, the drug reward is both a reinforcer for
    operant conditioning and an UCS in classical conditioning
  • Drugs themselves then become CS and sought after
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12
Q

DRUG ADDICTION

A
  • Implications of behavioral drug addiction viewpoint:
  • Addiction is a learned behavior
  • Context of drug use becomes CS – triggers CR, cravings, desire to take drugs
  • Treatment from a behavioral perspective:
  • Eliminate CS contexts – go to rehab
  • Eliminate CR – block or interfere with drugs from having their rewarding effects in the brain
  • Chantix, naltrexone, etc.
  • Once drug use is extinguished, must watch for
    spontaneous recovery of learned association (relapse)
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13
Q

ADDICTION IN GENERAL

A
  • These same principles hold true for any
    addiction, not just drugs.
  • Gambling addiction
  • Food addiction (particularly sugar)
  • Social media addiction
  • All involve learning, all involve some sort of reward
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14
Q

PROGRAMMING

A
  • Two main methods for programming computers
  • Algorithms
  • Line by line coding (standard programming)
  • Explicit instructions on how to analyze things
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15
Q

LEARNING IN HUMANS

A
  • For adult humans:
  • Learning typically involves a “teacher” or some sort of
    desired outcome that can easily be checked against
  • Supervised learning
  • Biologically relevant learning involves reinforcement
  • Do something clearly biologically relevant (e.g., eat food, have sex), get a reinforcing effect in the brain (reward circuit)
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16
Q

LEARNING IN MACHINES

A
  • How do (some) neural networks learn?
  • Provide input and desired output (training data set)
  • Use a learning algorithm (Hebbian, back-propagation, etc.) to change connection weights to get the right answer
  • Provide input without desired output and evaluate accuracy of the model (testing data set)
  • With enough good training data, network can learn to generalize to new stimuli!
  • Reinforcement learning – “right answer” is reinforced (not explicit)
17
Q

DEEP LEARNING NETWORKS

A
  • Neural networks with more than one hidden layers = deep networks
  • Take a longer time to learn and process info
  • Massive amounts of computational power needed to train
  • Can perform complex analyses (like object recognition!)
18
Q

DEEP NETWORKS

A
  • This sounds like vision in the brain!
  • Network provides emergent solution to
    complex problem
  • If we can “peek into” hidden layers it’s like
    opening the black box of cognition
19
Q

DEEP DREAMING

A
  • Take a network that has learned to classify objects
  • Peek into hidden layers to see how it is doing it
  • Network has learned to identify animals (but
    nothing else)
  • Show it a picture of something without animals
  • It “sees” everything as animals
  • Recurrent connections and feedback
  • Things become more and more animal like
20
Q

INCEPTIONISM

A

What if you only feed in static?
And then feed that back in…
And then feed it back in again…

21
Q

AI ART

A
  • Currently, multiple programs using image recognition
    software to generate images
  • Train network with many labeled pieces of art
  • Generate new piece through a written prompt
  • Good at some things…bad at others (text!) but improving
22
Q

SO WHAT DOES THIS ALL HAVE TO DO WITH THE MEMORY AGAIN

A

Conditioning (classical and operant) and associative
learning is not explicit memory
* Can be demonstrated in all animals
* Does not require sense of self….probably
* Can be remembered without being consciously
recognized (esp. classical conditioning)
* Does not require effortful encoding and elaboration –
just repetition

Part of implicit memory
* Memory for skills, procedures, and basic learning
associations

23
Q

ANTEROGRADE AMNESIA

A
  • Inability to form new explicit memories
  • Implicit memory still intact – can form new
    procedural memories and use old procedures: However, no explicit memory of learning a new
    procedure
  • Damage to the hippocampus (subcortical):
  • Surgery
  • Korsakoff’s Syndrome (alcoholism complications)
  • Viral infection
24
Q

WHAT IS IMPLICIT MEMORY

A
  • Any change in mental processes or behavior as a result of experience that is not explicit memory
  • Probably not a single system
  • many brain processes for storing experience have built up over evolutionary history
  • explicit memory may be just the most recent “layer”
  • Types of implicit memory
    classical conditioning
    operant conditioning?
    perceptual fluency
25
Q

PRIMING

A
  • Brief exposure to a stimulus aids subsequent
    processing of that stimulus (or related stimuli)
  • Pairwise priming
  • Implicit priming
  • Masked priming
  • Semantic priming
  • Block priming
26
Q

EXPLICIT MEMORY

A
  • Variable tasks
  • Effortful recollection
  • Able to communicate
  • Complex consequences and prediction
  • Adapt to changing situations
27
Q

IMPLICIT MEMORY

A
  • Stereotyped tasks
  • Automatic access
  • Unable to communicate
  • Simple consequences and conditioning
  • Automatize frequent tasks