Psychology Flashcards
Think Fast
Think Fast
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19-23
19-23
Google Age 23-29
Age 30-65 google
Age 30-65 Google
Ebbinghaus Forgetting curve
• Ebbinghaus plotted his performance as a function of the delay and produced what are now called forgetting curves. His performance got worse with longer delays. But the drop-off wasn’t continuous.
In fact, he found that most of the forgetting happened during the first hour or 2. Performance after a day wasn’t much worse than performance after an hour, and performance after 2 days wasn’t much worse than performance after 1 day.
- Ebbinghaus also studied how much he learned as a function of each repetition. And like the forgetting curve, he found that the first repetition led to the most learning, the second repetition to a little less, and so on.
- Ebbinghaus’s findings have been confirmed in countless experiments since then. But by far his biggest contribution was to demonstrate that human learning and memory could be studied scientifically in a way that other scientists could replicate and extend. And the repercussions of that contribution are still being felt to this day
Use vivid striking pictures to remember
Standing also compared memory for what he called vivid pictures with memory for ordinary pictures. The vivid pictures contained striking, interesting, or unusual features that were absent in the ordinary pictures. For example, the vivid picture might be of a crashed plane, while the ordinary picture would be a plane on a runway. And vividness also improved memory. In fact, participants made at least twice as many errors when trying to remember the ordinary pictures compared with the vivid pictures.
Effectively Learning Explicit Information
Memory strategies that exploit principles that help people learn explicit information more effectively have been around for a long time. Probably the most famous, and certainly one of the most effective, is called the method of loci.
- Imagine a building with many rooms that you have a strong memory for, such as a house that you’ve lived in. The idea is to create visual images for new information that you’re trying to learn and then to store those visual images in the different rooms of the building. The more vivid and striking you can make those images, the better. For example, if you’re trying to remember a grocery list, you might begin by trying to store the image of a cow being milked in your living room and then storing one more striking image in each subsequent room in the building.
- When you get to the grocery store, you can walk through the building in your mind’s eye and conjure up the strange image that you stored there. You remember the cow being milked in your living room, so you buy milk. You continue mentally walking through each room in the building, retrieving the associated image and recalling the next item on the list.
- This age-old method has been proven to work time and time again—because it exploits the principles in this lecture: You are storing visual information rather than verbal information; storing vivid, striking visual images rather than standard, ordinary images; and connecting the information that you’re trying to learn with information you already know.
Making Inferences
When we encounter new information, we tend to build up a mental model of what’s going on in the situation. And constructing such a mental model means filling in some of the details that weren’t specified. It’s that mental model that we learn and remember, rather than the original information, or even just the gist of the original information.
Brain Anatomy
Directional terms are also critical when discussing brain anatomy: Superior means toward the top and inferior means toward the bottom, anterior means toward the front and posterior means toward the back, and lateral means toward the side while medial means toward the middle.
• The 2 temporal lobes are on the bottom of the left and right side of your brain. They are below, or inferior to, the parietal lobes and are in front of, or anterior to, the occipital lobes. The medial temporal lobes—the part of each temporal lobe toward the middle of the brain, away from the ears—are the parts of the brain that were surgically removed in Henry Molaison (the amnesiac patient you learned about in lecture 2), and doing so led to a profound, but also quite isolated, deficit in learning explicit, conscious information.
Learning New Information and Memory Storage
- Learning new explicit information depends critically on the hippocampus, and damage to this region leads to a severe anterograde amnesia—that is, a difficulty in learning new information. But amnesiacs don’t just suffer from anterograde amnesia; they also typically suffer from a temporally graded retrograde amnesia. They have difficulty remembering explicit information that they learned a few days, weeks, or even years before their brain damage. But their more remote childhood memories are typically intact. That’s what is meant by a temporal gradient: The older memories are preserved, but the more recent memories are impaired.
- Results about the neural basis of explicit learning and memory tell us that the medial temporal lobe structures, such as the hippocampus, are not the ultimate site of memory storage. If amnesiacs who have damage to these structures can still remember their childhood, then those childhood memories obviously can’t reside in the medial temporal lobes.
- Instead, evidence suggests that they reside in the cerebral cortex. Specifically, explicit memories seem to be stored in the same cortical regions that were involved in processing the information when it was first encountered.
- The cerebral cortex performs many functions, and different parts of the cerebral cortex perform different functions. For example, your occipital lobe at the back of your brain processes visual information. The parietal lobe at the top of your brain processes spatial information and your sense of touch. Hearing is handled in superior parts of your temporal lobe, and motor function is controlled in posterior parts of the frontal lobe. And the list goes on and on.
Information Processing and Memory Consolidation
- Memories ultimately get stored outside the hippocampus and medial temporal lobe structures. But if explicit memories get stored outside the hippocampus, then why do amnesiacs experience retrograde amnesia? In other words, why do they have trouble retrieving memories of what happened before their brain damage? After all, if those memories are stored outside the hippocampus, then shouldn’t they be immune to hippocampal damage?
- The explanation is based on memory consolidation. When we first learn new explicit information, the memory depends critically on the hippocampus. Even though the memory is stored in a variety of different cortical regions, you need the hippocampus to reactivate the appropriate patterns in each of those regions. But gradually over the course of days, months, and even years, the hippocampus becomes less and less critical to the representation and retrieval of the memory. The memory becomes consolidated in the cortex and no longer depends on the hippocampus.
Hippocampus and you
Many scientists think of the hippocampus as a kind of organizer that gets all the relevant cortical regions together to regenerate the visual, auditory, and tactile experiences associated with a particular memory. But over time, those cortical regions begin to communicate directly with each other and no longer need the hippocampus to get them together. Once that happens, the memory has become consolidated, and hippocampal damage will no longer affect it.
Synapses and memory
Storing a memory really means changing a bunch of synapses in such a way that the neural activation pattern corresponding to the new information will get activated at an appropriate time in the future. By changing those synapses, you can also store memories. And at a cellular level, that’s what learning does in the brain: It changes synapses.
• One synapse might get a little bit stronger and excite the next cell a little more than it did before. Another synapse might get weaker and excite the next cell a little less. By changing those synaptic strengths in just the right way, the brain learns a longterm memory. And when appropriate cues are encountered in the future, they will trigger the neural activation pattern associated with that memory. That’s memory retrieval.
Re-reading doesn’t help
If you have read a chapter and then reread it, you will recognize a lot of what you read. And that familiarity may fool you into thinking that you really know what’s in the chapter. Unfortunately, you may be in for a rude awakening if you’re then tested on the chapter and have to actually recall the information.
This happens all the time in classrooms around the world. Students who do poorly on an exam are often very surprised, because they really thought they had mastered the material. And part of the reason is probably because rereading gave them the illusion of mastery.
Study over long periods
Distributing study over time leads to stronger and longer-lasting memory than cramming. Students would be much better off studying all their subjects for a few minutes every day rather than always cramming for the next exam.
The study technique that might be the most effective of all is the method of consistently testing yourself. The benefits of testing have been shown in hundreds of studies. In one such study, Andrew Butler asked students to study a few text passages.
The students then restudied some of the passages and took a test on the other passages. A week later, they took a test that assessed how much they had learned from the passages.
Learned Helplessness
The principles of operant conditioning have had an enormous influence in the real world in a variety of fields. Many parents apply these principles almost instinctively in the way they raise their children, and teachers are trained to reinforce desirable behaviors in the hopes of helping students succeed. Operant conditioning has also been used to explain, and potentially treat, many psychological and social problems, including clinical depression, addiction, and weight management. Some of this work was inspired by findings of learned helplessness in animals. Some of the most famous work in this area was done by Martin Seligman and Steven Maier.
- One group of animals could avoid a shock by pushing a lever, and they quickly learned to do so. This is an example of negative reinforcement. But another group of animals were not able to avoid the shock during the training phase.
- Then, both groups of animals were put in a new situation in which they could escape a shock by jumping over a barrier. The animals who had been able to press a lever to avoid the shock during the training phase also learned to jump over the barrier. They tried different actions until they finally hit on jumping over the barrier. And once that behavior was reinforced, they quickly learned to do it on future trials.
- But the other group of animals, who had not been able to avoid the shock during the training phase, didn’t learn to jump over the barrier, even though it would have worked. Rather, they passively suffered through the shocks without trying anything to avoid them. The standard interpretation is that this second group of animals had learned something harmful—that they couldn’t avoid shocks no matter what they did. As a result, they didn’t even try to avoid the shocks during the second phase of the experiment. They had learned that they were helpless.
When learning a complex skill, such as piano, tennis, or golf, the most dramatic improvements will be made in the first few days and weeks of practice.
If you continue to practice, then you’ll still continue to improve. You’ll still get faster at playing that musical scale. But the rate of your improvement will slow down.
When you’re practicing a complex skill, you’ll improve a lot initially, but it becomes more and more difficult to get better as you become more and more skilled. You reach a plateau, and it takes more and more practice to make even small improvements. This characteristic pattern that is observed when people are learning new skills is called the power law of practice
Cognitive stage of memory
1 The cognitive stage is dominated by cognition—that is, by thinking, or by explicit, declarative knowledge. a Suppose that you’ve never played golf and that you take a lesson. The golf pro will probably start out by giving you some verbal instructions, such as “keep your left arm straight when you swing.” Now you have a bunch of verbal instructions that you will dutifully try to execute. In fact, you may try to memorize some of the verbal instructions or even write them down. And you may consciously and deliberately rehearse the verbal, declarative knowledge that the pro told you as you’re trying to hit a golf ball.
One of the key characteristics of the cognitive stage is that it’s cognitively demanding; that is, it requires all of your attention. So, you can’t really do other things when you’re in the cognitive stage. All of your attention has to be focused on performing the task and rehearsing the facts that you’ve committed to memory. c Notice that there’s a big difference between knowing the declarative knowledge associated with the skill and being able to execute that skill. Having the declarative knowledge is different from having the skill; you could have one and not the other.
Associative stage of skill learning
2 The associative stage involves tweaking the skill, associating it with different responses, and hopefully improving. It involves figuring out what works and what doesn’t and using that feedback to slowly get rid of actions that lead to errors. a Suppose that you’ve been taking tennis lessons for a while and you’re trying to improve your serve.
You go to the court and hit a bunch of serves. As you practice, you begin to fine-tune your serve by making changes that lead to better results. b You’re associating tweaks with outcomes, or results. And with additional practice, you start to figure out what tweaks work and what tweaks don’t work.
For that to happen, you need to be getting feedback. That feedback could come from another person, but it doesn’t have to. You just need to be able to observe what works and what doesn’t.
The Autonomous stage stage of skill accusation
3 The autonomous stage is the point at which the skill can be performed really well without having to think about it. a Think of the skilled golfer who can hold a conversation while hitting golf balls at the range. Unlike the cognitive stage, which requires a lot of attention, the autonomous stage doesn’t.
Performing the skill is no longer nearly as cognitively demanding. In this stage, there is less dependence on verbalization and declarative knowledge. b Furthermore, declarative knowledge about the skill may actually become less available the more skilled you get. Maybe when you were taking lessons initially, you memorized all these things about the golf swing and could even recite them from memory. But once the skill gets automated, you may actually forget some of the declarative knowledge that you used to rely on.
c Getting feedback is crucial during the associative stage of skill acquisition, but this is not the case during the autonomous stage. Musicians and athletes at this stage of skill acquisition would typically know what happened even if they weren’t getting much feedback.
How Skill Acquisition Happens: A Theory
- When practicing, how do we move from the cognitive to the associative stage and from the associative to the automatic stage? In other words, how do we transform declarative knowledge—the book knowledge and verbalized instructions about how to perform a skill—into a procedural skill?
- One of the most influential answers to this question was developed by John Anderson, who proposed that the nature of our representation of procedural skills is very different from our representation of declarative knowledge. In particular, he argued that we represent procedural knowledge using production rules, or associations between some conditions and some actions.
- You can think of a production rule as an if-then association: If the conditions are satisfied, then perform the action. Critically, this association is not explicit or conscious or declarative; rather, the association is automatic, unconscious, and implicit.
- When certain conditions are satisfied, then a certain association fires automatically, and the actions associated with those conditions are automatically and immediately executed. You don’t have to consciously decide to take those actions. That’s what makes it implicit and procedural, rather than declarative
U shaped Acusition
f you track the correct use of irregular past tense forms (such as “went”) as a function of a child’s age, children get worse before they get better at using irregular past tense forms as they get older. The U-shaped acquisition curve supports the hypothesis that children are beginning to learn general-purpose rules and apply them to other words.
Neurons and Learning
The human brain contains nearly 100 billion neurons, or nerve cells. And because neurons tend to make about 1000 connections each, the total number of connections is around 100 trillion. To put that number in perspective, there are probably more neural connections in your brain than there are stars in the Milky Way galaxy.
Changing the strength of connections between neurons is a fundamental mechanism underlying learning in the brain
Implicit learning occurs in the same neural circuits that control the behavior that is changing. This is fairly different from explicit learning, in which a specific region of the brain—the hippocampus—is dedicated to that function specifically.