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I ran across this connect to Paul Krugman being insightful and thoughtful regarding the general question of What is often a Model and What do we utilize them for in Science? It s about economics and specifically designs of development economics, nevertheless the general questions of methodology affect social sciences more broadly. It is in the
The following ad should show up in the Cognitive Neuroscience Newsletter soon: Postdoctoral Positions at Northwestern University Memory Systems, Intuition and Modeling Department of Psychology Laboratories of Paul Reber Ken Paller Multiple postdoctoral openings available today on two new projects directed at accelerating expertise development from training using memory systems theory. One project will establish
I got another request to reply to yet another media state that technology is not good for our brains. It s actually fashionable good illustration of really poor science reporting on television, so I won t link it, nevertheless the topic seems generally interesting and it definitely seems to be based on the curious underlying folk
I was motivated to answer some questions from the middle school student conducting a research project on games. Since I am thinking about the topic generally, I should probably discover how to answer most of these questions in an age-appropriate level. My attempt: Jose asks: 1. Do online games affect the mind?
This is an extremely interesting piece for the philosophy of science and popular understandings of science: How our botched idea of science ruins everything /article/index/268360/how-our-botched-understanding-of-science-ruins-everything As an exercise towards the reader, explain what's wrong with his complaint that what most of the people think of science is really the opposite of science. Some helpful ideas
How and where memory occur in the brain, particularly memory acquired through practice
How experience shapes action, perception and weighed pervasive mechanisms of plasticity throughout the mental faculties
Investigating memory system interactions and intuitive selection using visual category learning.
Check the Presentations link about the right side bar to find out the most recent ideas and reports as presented as posters and talks at recent conferences.
I ran across this hyperlink to Paul Krugman being insightful and thoughtful concerning the general question of What is really a Model and What do we use them commercially in Science?
It s about economics and specifically designs of development economics, though the general questions of methodology connect with social sciences more broadly.
It is inside a way unfortunate that for several of us the style of a successful field of scientific endeavor is basic physics. The objective from the most basic physics is usually a complete description products happens. In principle and apparently in reality, quantum mechanics offers a complete account of the goes on inside, say, a hydrogen atom. But most things we would like to analyze, during physical science, can't be dealt with as well level of completeness. The only exact model with the global weather strategy is that system itself. Any kind of that method is therefore to varying degrees a falsification: it leaves out some many issues with reality.
How, then, does the meteorological researcher decide what things to put into his model? And how does he decide whether his model is really a good one? The answer to your first question would be that the choice of model represents a combination of judgement and compromise. The model should be something you understand how to make that is certainly, you're constrained through your modeling techniques. And the model need to be something you are able to construct given your resources time, money, and patience usually are not unlimited. There may be lots of models possible given those constraints; what one or ones you select actually to create depends on educated guessing.
And how do you understand that the model is great? It will not be right in the method that quantum electrodynamics is appropriate. At a certain point you will be good enough at predicting that the results can be used to repeated practical use, such as the giant weather-forecasting models that run on today s supercomputers; therefore predictive success is usually measured when it comes to dollars and cents, along with the improvement of models turns into a quantifiable matter. In the early stages of any complex science, however, the criterion for any good model might be more subjective: it is really a good model when it succeeds in explaining or rationalizing some of the items you see inside world inside a way that you will possibly not have expected.
There is another nice description of any Dishpan model by David Fultz as an instance of a hyper-simplified model that illustrated some emergent properties a good choice for meteorology.
What resonates with me at night about Krugman s description can be a common curiosity about building most effective, descriptive models that any of us hope illuminate underlying principles in complex processes. In Economics, particularly Macro, the scientific goal would be to understand systems of unmanageable complexity interactions among all of the people and institutions that produce economic activity. In Neuroscience and Psychology, we try and understand the neural, fashionable system of unmanageable complexity.
I also prefer simple models using a small couple of parameters as one example of concepts, while using a lots of admiration and respect for modelers who take around the complexity to build up from individual neurons each themselves having nearly unmanageable complexity, fwiw. The simple models also is not right inside same sense Krugman describes above, nevertheless they can are the cause of some useful fraction from the variance we seek to explain and hopefully expose some deeper principles which may even eventually direct neural-level modeling.
There s a fantastic question around the other end on the complexity spectrum likewise, about why it's worth even building simple models using a few parameters in addition to simply making theoretical statements like changing x results in a change in y. Such theoretical statements include the bread and butter of normal approaches to Psychological Science, especially experimental work, but I ll leave the response as a physical exercise, perhaps to become tackled during my graduate seminar the next time I teach modeling hints: quantification and prediction are necessary.
Memory Systems, Intuition and Modeling
Multiple postdoctoral openings available today on two new projects directed at accelerating expertise development from training using memory systems theory. One project will establish methods to increase the use of intuition in selection. The second project makes use of targeted memory reactivation to boost consolidation processes and speed learning. Both projects reflect collaborative research involving the laboratories of Professor Paul Reber and Professor Ken Paller /. Also see additional information around the local cognitive neuroscience environment.
We are seeking postdoctoral candidates which has a strong curiosity about human memory research is actually expertise in some with the following areas: memory systems research, experimental behavioral methods, computational simulation modeling, multivariate pattern analysis, EEG recording and analysis.
Interested candidates can send inquiries and application materials to Susan Florczak. Applications is going to be evaluated when received and hiring decisions made with a rolling basis. Multiple two-year appointments are on the market. Applications will include a cover letter, CV, and names that is at least three references.
We will also be looking to engage a new Research Assistant to the lab. Applications for your RA position comes through NU Human Resources.
I got another request to reply to yet another media are convinced that technology isn't good for our brains. It s actually additionally a good illustration showing really poor science reporting in the news, so I won t link it, nevertheless the topic seems generally appealing and it definitely seems to be based on the curious underlying folk kind of cognition worth considering.
How would this work? How could technology make us less smart? The core idea is be looking things up, we memorize less and thus we are less smart than we will be otherwise. But this misses the problem of substitution. If you aren t memorizing something you'll be able to look up, will you learn something else entirely instead?
To me, the interesting underlying idea is: Memory doesn t produce an off switch
We are constantly recording experiences from my environment. Of course, not everything gets remembered, so maybe we focus too much about the memory failures. But we aren t consciously turning our memories don / doff through the day. So if we're also trying to memorize arbitrary facts we could research on google instead, during that time we aren t doing something different that could have remaining a useful memory trace. Note that I m describing this as a possible attention/perception bottleneck, nonetheless it could be considered a memory consolidation level bottleneck likewise which is likely the actual constraint that keeps us from remembering everything we go through.
The best way for this argument to actually make sense would be to have a strong theory that everything we might have memorized rather than relying on google is much more valuable to your internal knowledge state than everything we learn instead. I think that's going to get a hard case for making. And it won t actually be about technology.
There s another way for making a possible technology hurts as their pharmicudical counterpart case according to skill learning/strengthening. If memory can be a skill that might be improved by intensive practice, then concentrated efforts to memorize arbitrary information could theoretically cause you to be better at remembering and more than time, you d just get smarter. But there is no evidence anywhere that long-term memory might be strengthened by doing this and many individuals have tried to accomplish this.
Working memory looks being trainable, however, if anything, technology that produces you hold a matter in mind while investing in the search phrases to look up is going to expand your WM instead of causing it to atrophy.
So no, technology isn't going to generate us less smart. It s almost certain to become overwhelmingly inside the other direction the access given by the internet to incredibly rich and diverse types of information means the common knowledge content in the average brain in the 21st century is often a lot more compared to the 20th and other prior time.
I was inspired to answer some questions from your middle school student conducting a research project on games. Since I am thinking about the topic generally, I should probably discover how to answer such questions in an age-appropriate level. My attempt:
1. Do video gaming affect the mind? Do game titles affect the attitude? Do online games damage the thinking part with the brain?
Yes, games can affect mental performance, like anything that you do a great deal of. However, these changes can sometimes be for that better. There is recent evidence improvements in visuospatial attention how we see the world following video gaming play. There may also be changes for your worse, like increasing aggression, but these usually are not yet well understood.
2. Can online games improve people s knowledge? Can they help people s grades recover in school? Or can they get bad grades?
Video games probably won t help you in education very much. They can make trouble in schoolwork when kids play way too many games and don t sustain homework and assignments. If you're getting your homework done, playing video games won t hurt and will actually help a bit.
3. Can online games make people lose time? With family? Time outside?
If you spend an excessive amount time on games and make time for friends, family, proper exercise and sleep, then that may very likely make trouble.
4. Can games make people sick? Gain weight? Headaches or maybe a tumor?
Some people report dizziness and nausea upset stomach from games that provides you first person perspective. This is most likely related on the kind of motion sickness you'll be able to get when riding in a very car. In rare cases, many people may react badly to flashing lights/sounds in video gaming. In general, games won t allow you to sick. If you eat inside an unhealthy way when playing videogames, which could lead to fat gain and other health conditions.
5. Can video gaming make people hooked on what their mainly about? How do they accomplish this? Why do people get addicted?
Gaming addiction isn't well understood. Games aren t addictive the best way other things are similar to cigarettes. However, you will discover certainly many people who have problems during 2 and 3 above. They seem to try out so much so it messes up lots of other things in their lives. That looks much like being addicted. It also can resemble a wide range of other problems that teenagers often encounter mood swings, depression, difficulty in associated with others. I do not think it's well known whether games could cause those problems or whether kids having those forms of problems for another excuse sometimes like to play lots of videogames.
Thank you quite definitely for your help.
As an exercise on the reader, explain what's wrong with his complaint that what many people think of science will be the opposite of science.
Seems just like a topic we should be discussing in 205. I think it s the right volume of meta for any class on experimental design.
Rapid learning of higher-order statistics in implicit sequence learning K. R. Thompson P. J. Reber Implicit learning involves extracting experienced regularities and statistical variation in the environment so that you can improve behavior. Because expertise in environmental structure is acquired away from awareness, it can be challenging to determine the particular nature in the information that
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