For millennia, philosophers and scientists have been trying to unlock the secrets of the mind with only limited success—until now. Today, with modern technologies, including the best in neuroscience, medical imaging, and recent advances in artificial intelligence, we are making more progress than ever before. In Introduction to Cognitive Science, Professor Thad A. Polk takes you on a fascinating tour of the latest discoveries in the relatively new field of cognitive science. The goal is nothing less than understanding every interaction working in the human brain to produce all forms of cognition.
Introduction to Cognitive Science
Delve into the mysteries of the human mind and see what cognitive science can tell us about how we think—and what we have yet to discover.
Rated 5 out of
5
by
redpanda from
The best course on Cognitive Science
This is the BEST introductory course I've read of cognitive science! As an intermediate in Cognitive Science and an AI engineer, I absolutely love how information-packed this course is - everything is so well explained, it even manages to outcompete many of the AI lectures I've read! I love the pace and how it wastes no time.
I love how they embraced mathematics and made it so intuitive and easy to understand! I HIGHLY recommend you stick with this course, and use AI if you don't understand anything , trust me its worth it, haha. I also absolutely love how all the models are explained in computational models - the course is not dumbed down in any way, and yet kept super intuitive and easy to understand. This is exactly what I paid money for!
The course has helped me a lot to see the big picture of AI and cognitive science. I love how this isn't like other pop science cognitive courses (I have been so sick of pop science courses of cognitive). THIS IS REAL COGNITIVE science and how it should be taught! Though I wouldn't really call it an introduction... but I still love it!
Date published: 2024-12-07
Rated 5 out of
5
by
A Life Long Learner from
Great for Psychology graduates who want to update
Another excellent course from the Great Courses. I am Psychology trained and found this up to date course very interesting. The lecturer has very good teaching skills and breaks down the complex information into more easily manageable chunks. I recommend this course for those who want to update their knowledge ............
Date published: 2024-11-26
Rated 5 out of
5
by
KnowledgeSeeker1987 from
informative & well presented by the lecturer .....
Date published: 2024-09-30
Rated 5 out of
5
by
Frank C from
Computational models of brain functions
For the last 5 years I have been studying texts starting with Rita Carter's books "Exploring Consciousness" and "The Human Brain Book." I moved on the subject of how to design general human intelligence using silicon based computing, taking the Great Courses on "Machine Learning", "Language and the Mind", and even "Biochemistry and Molecular Biology" to try to understand how the neuron and synapse networks coupled with neurotransmitters can coordinate incoming information from sensors of the external world, conduct active decision making based on stored memories and a spatial model of the external world, and make choices among plans for action that moves the human body in the real world.
I found that Professor Polk's 2024 course "Introduction to Cognitive Science" to be the fitting culmination of my five year study. His lectures on several computational models from deep neural networks with back-propagation learning, multilayer-convolutional neural networks, Bayesian inference, and even the latest generative pretrained transformer (gpt) models of AI are all richly supported by useful graphics and easy-to-understand examples of these computational methods and then related to how the brain implements similar behaviors.
I've taken some 55 Great Courses over the last 25 years. I can easily rate “Cognitive Science” as superb. You should take it, too!
Date published: 2024-09-27
Rated 5 out of
5
by
Jeff59 from
Thoroughly enjoyable and informative
I recently retired after a 40 year career in electrical engineering. While I thoroughly enjoyed my job, I've always regretted the large knowledge gaps in subjects outside of my relatively narrow field. The material and the presenter's enthusiasm made this course very enjoyable and I would certainly consider other courses he creates. As for how to ensure student's don't fully rely on AI for their assignments - it's hard to bluff your way through an in-person verbal or written exam.
Date published: 2024-09-02
Rated 5 out of
5
by
edfactor16 from
Fascinating and accessible
As I only have time on my morning runs, I listened to this course instead of watching it. While I think it would be better to watch, I found it tremendously valuable anyway. (Yes, a few lectures were heavily visual, and I just listened and tried to imagine what he was telling me.)
The class is very well done and he is a great teacher. I cannot believe the breadth of the material, and I appreciated the last lecture on practical applications of cognitive science.
I also really liked the computer science angle, showing how Artificial Intelligence works, and how it is similar and different than our own brains. Note that you do not have to be a computer programmer to understand those lectures. I had never considered that cognitive scientists create models of brain functions in computer programs in order to understand those functions better. Fascinating!
I highly recommend this class.
Date published: 2024-08-27
Rated 5 out of
5
by
Hank555 from
Well done!
I really enjoyed this course. Dr Polk is an excellent presenter. His speaking pace and his enthusiastic way of speaking made the course enjoyable. Lecture 6 on "How babies think about the world" was particular interesting.
I will be on the look-out for other courses by Dr. Polk.
Date published: 2024-08-23
Rated 5 out of
5
by
london2000 from
A thoroughly good course!
Thad Polk is a good speaker, with a natural style that encourages one to pay attention to what he has to say. Each lecture just flew by and he presented complex information in an easy-to-understand manner. I was expecting the course to be more biologically oriented, with lectures on different parts of the brain and their role in cognition, perception, and so on. However, despite an early lecture where Thad dissected a brain on camera, much of the emphasis in the course was into computer modelling how the brain achieves what it does. This approach took us into the area of artificial intelligence, which was an interesting diversion.
I particularly enjoyed the lecture on consciousness. I've watched several other lectures on this fascinating topic, and Thad's explanation of the challenges of the "hard problem" was superb.
Cognitive science is a rapidly advancing field, so it's reassuring that this course is (at the time of me writing this review!) a relatively up-to-date summary of the subject, filmed in 2023, I believe.
Date published: 2024-08-08
Overview
About
Thad A. Polk is the Samuel D. Epstein Collegiate Professor of Psychology and an Arthur F. Thurnau Professor at the University of Michigan. He earned an interdisciplinary PhD in Computer Science and Psychology from Carnegie Mellon University and received postdoctoral training in Cognitive Neuroscience at the University of Pennsylvania. His teaching has been recognized by numerous awards, and he was named to The Princeton Review’s list of the Best 300 Professors in the United States.
Trailer
01: Opening the Black Box of the Mind
Welcome to the world of cognitive science, where the goal is nothing less than simulating the precise workings of the human brain. But with the mind hidden in the proverbial “black box,” how can science unravel its mysteries? Learn about the early theories of behaviorism and how the invention of the digital computer became the single most important development in the rise of cognitive science.
28 min
02: A Hands-On Guide to Brain Anatomy
Professor Polk takes you on a quick tour of the anatomy of the brain. In addition to examining important structures and where they’re located inside the brain, you’ll also learn about their function. You’ll see firsthand where vision happens; how information is communicated between the hemispheres; and the brain regions involved in sleep, motor control, and memory.
32 min
03: How We Acquire and Understand Language
Explore the fascinating cognitive process of human language, one of our most powerful tools. Discover some of the key features of natural languages and how we acquire them. You might be surprised to learn that one of the most significant aspects of language that we use every single day is ... guessing.
31 min
04: The Neuroscience of Language
Meet French patient Louis Victor Leborgne and his physician Paul Broca. Learn how Broca’s work set the foundation for understanding that an injury in one brain region does not necessarily undermine cognitive function in other areas. Although the neurobiology of human languages is not yet fully understood, explore the dual stream model of language processing and the crucial but separate functions it addresses.
31 min
05: Artificial Neural Networks and Language
Artificial neural networks play a central role in cognitive science. Learn how these networks simulate the excitatory and inhibitory processing of real neurons, and how scientists train the networks using sophisticated learning algorithms. This type of modeling provides the foundation for the development of ChatGPT and other AI applications.
34 min
06: How Babies Think about the World
Learn about the violation-of-expectation paradigm that allows researchers to study infant cognition with often surprising results. From physical to psychological to moral reasoning, scientists have determined that babies and very young children understand much more about the world than we had previously realized.
28 min
07: Working Memory: The Mind’s Notepad
Participate with Professor Polk in fascinating experiments that reveal many aspects of your working memory—your ability to store information for a brief period for a particular purpose. Learn about the several working memory systems you use every day and discover how cognitive scientists think working memory might be implemented in the human brain.
31 min
08: Episodic Memory: A Library of Times and Places
How is it that we can remember so much information for so long, but we also make so many mistakes in what we remember? Explore the psychology, neuroscience, and computational modeling of episodic memory—long-term memory for personal episodes from your own life. Discover how and why this information gets distorted over time in subtle ways we don’t notice.
30 min
09: Semantic Memory: The Mind’s Knowledge Base
We each maintain an enormous database of information we’ve learned over the course of our lives, our semantic memory. Learn about the latest cognitive science models in which semantic memory is organized by modality, with some regions of the brain representing perceptual features and others representing functional features.
32 min
10: The Animal Mind
If an animal can learn specific hand signals and communicate with a trainer, does that mean he has language? If a great ape can recognize itself in a mirror, does it have the consciousness we attribute to humans? Learn about some exciting animal experiments and the resulting evidence. Cognitive scientists have arrived at some conclusions that you might find contrary to your personal experience.
30 min
11: The Psychology of Decision-Making
While we like to think of ourselves as rational creatures, why is it that we so often make what seem to be irrational decisions? Learn about Bayes’ Theorem, which tells us the correct way to calculate a conditional probability, as well as the “representativeness and availability heuristics” that so often cause us to misjudge.
32 min
12: Decision-Making at the Neural Level
How do we make decisions at the neural level? Explore a fascinating monkey experiment that allows us to see which neurons fire while the animal is making a real decision. You’ll also explore the timing of dopamine delivery as the monkey develops familiarity with a rewarding activity.
32 min
13: Computational Models of Decision-Making
Could our brain and mind be designed as Bayesian computation engines? Instead of dealing in black or white absolutes, is it possible our brains are always updating the conditional probability of various hypotheses based on evidence and base rates? Explore the evidence for this possibility and the behaviors scientists would expect to see if this were the case.
35 min
14: The Emotional Brain
Do your emotions cause physiological changes in your body or do physiological changes cause your emotions? Is each physiological change associated with one and only one emotion? You might be surprised by the answers to these questions as you learn about theories of cognition and emotion and explore the fascinating case of patient “SM.”
37 min
15: The Science of Perception and Illusion
When we look at the world around us, we’re usually sure that we see our environment as it really exists, but that is just not the case. With fascinating visual examples, learn the many steps involved as our brain constructs the images that we think we just simply “see.” Once it’s created, is the image accurate—or can our expectations play a profound role in our perception?
31 min
16: Computational Models of Vision
Learn about one of the most influential computational models of the brain’s visual system and how it led to the development of convolutional neural networks, CNNs. CNNs revolutionized computer vision, but could this type of neural network also lead to a better understanding of the visual system in the biological brain?
36 min
17: What Damage Reveals about the Brain
Historically, one of the best ways for neuroscientists to learn about the brain has been to study people whose brains have been damaged, resulting in unusual and unexpected phenomena. Meet three such patients—Phineas Gage, “DB,” and John—and see how cognitive scientists used the deficits of each to uncover a wealth of information about the healthy brain.
31 min
18: Depression and Anxiety
Dig into computational psychiatry, the field that brings together computer science, math, and neuroscience to simulate the neural processes contributing to psychiatric disorders. Explore how many symptoms of depression and anxiety make sense when viewed through the lens of Bayesian decision theory.
33 min
19: Autism, Schizophrenia, and OCD
Learn how cognitive scientists are developing theories and computational models to explain the behaviors associated with these three disorders. Explore the latest theories that explain the obsessions and compulsions of OCD, and recent research into the glutamate system’s impact on schizophrenia.
34 min
20: The Puzzle of Consciousness
What is the nature of consciousness and how is it implemented in the human brain? Does consciousness inevitably arise when a certain threshold of intelligence is met? These are some of the most profound questions humans have ever asked. Explore what cognitive science has contributed to studying both the content and level of human consciousness.
36 min
21: Putting It Together: Unified Theories of Cognition
Investigate ACT-R, one of the most well-developed cognitive architectures that exists today in the quest to create a unified theory of cognition. Learn how ACT-R implements a specific theory about how the mind’s different parts work together to give rise to cognition. With Professor Polk’s guidance, you’ll walk through a “simple” computation modeled by ACT-R.
36 min
22: The Rapid Rise of Artificial Intelligence
Learn how AI has profoundly impacted the field of cognitive science. Explore the ways in which AI’s deep neural nets, trained using sophisticated supervised learning algorithms, have been able to rival human performance in many domains, ranging from generating art and other visual content to predicting the 3D structure of proteins with significant impacts in biology and medicine.
36 min
23: Cognitive Science in the Field
Explore how the latest discoveries about cognition have affected the field of education, helping both the learner and the teacher. We now have the science to influence decisions about when and how to study, and how to help students better retain information. Even in the disparate fields of law and design, learn how cognitive science has profoundly impacted best practices.
30 min
24: The Future of AI and Cognitive Science
Have you wondered what could happen if we develop the ability to build artificial intelligences that rival or surpass our own? Scientists no longer believe the issue is “if,” only when. Consider the issues of transhumanism along with present-day positive impacts and concerns with respect to AI. What can we expect the future to hold?
36 min
