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I ran across this connect to Paul Krugman being insightful and thoughtful in regards to the general question of What is really a Model and What do we utilize them for in Science? It s about economics and specifically styles of development economics, nevertheless the general questions of methodology affect social sciences more broadly. It is within a
The following ad should come 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 on two new projects aimed towards accelerating expertise development from training using memory systems theory. One project will establish
I got another request to touch upon yet another media are convinced that technology isn't good for our brains. It s actually and a good instance of really poor science reporting in the news, so I won t link it, however the topic seems generally appealing and it seems to be based using a curious underlying folk
I was motivated to answer some questions coming from a middle school student doing research project on game titles. Since I am serious about the topic generally, I should probably discover how to answer these kind of questions in an age-appropriate level. My attempt: Jose asks: 1. Do game titles affect the mind?
This is definitely a interesting piece within the philosophy of science and popular understandings of science: How our botched comprehension of science ruins everything /article/index/268360/how-our-botched-understanding-of-science-ruins-everything As an exercise for the reader, explain what's incorrect with his complaint that what the majority of 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 considered pervasive mechanisms of plasticity throughout the mind
Investigating memory system interactions and intuitive selection using visual category learning.
Check the Presentations link for the right side bar to discover the most recent ideas and reports as presented as posters and talks at recent conferences.
I ran across this connection to Paul Krugman being insightful and thoughtful in regards to the general question of What is usually a Model and What do we utilize them for in Science?
It s about economics and specifically styles of development economics, though the general questions of methodology affect social sciences more broadly.
It is in a very way unfortunate that for most of us the style of a successful field of scientific endeavor is basic physics. The objective with the most basic physics is often a complete description of the 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 should analyze, even physical science, is not dealt with as well level of completeness. The only exact label of the global weather product is that system itself. Any label of that method is therefore relatively a falsification: it leaves out some many issues with reality.
How, then, does the meteorological researcher decide what you should put into his model? And how does he decide whether his model is often a good one? The answer on the first question is the choice of model represents a blend of judgement and compromise. The model need to be something you are aware how to make that may be, that you are constrained by the modeling techniques. And the model should be something it is possible to construct given your resources time, money, and patience aren't unlimited. There may be many models possible given those constraints; which or ones you ultimately choose actually to construct depends on educated guessing.
And can you be sure that the model is nice? It will do not be right in the method that quantum electrodynamics is appropriate. At a certain point you could be good enough at predicting that a results may be placed to repeated practical use, such as the giant weather-forecasting models that run on today s supercomputers; if so predictive success may be measured when it comes to dollars and cents, plus the improvement of models is a quantifiable matter. In the early stages of an complex science, however, the criterion to get a good model is a bit more subjective: it truly is a good model when it succeeds in explaining or rationalizing some with the items you see from the world in the way that you do not have expected.
There is and a nice description of an Dishpan model by David Fultz as an demonstration 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 is really a common involvement in building the most convenient, descriptive models that people 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 make an effort to understand the mental faculties, additionally a system of unmanageable complexity.
I also prefer simple models which has a small couple of parameters as one example of concepts, while sporting a lots of admiration and respect for modelers who take for the complexity to construct up from individual neurons each themselves having nearly unmanageable complexity, fwiw. The simple models also is not right in a similar sense Krugman describes above, however they can are the reason for some useful fraction with the variance we try to explain and hopefully expose some deeper principles which may even eventually direct neural-level modeling.
There s a superb question for the other end on the complexity spectrum too, about why it's worth even building simple models with a couple of parameters past simply making theoretical statements like changing x results in a change in y. Such theoretical statements will be the bread and butter of normal approaches to Psychological Science, especially experimental work, but I ll leave the result as a training, perhaps being tackled within my graduate seminar the next time I teach modeling hints: quantification and prediction are essential.
Memory Systems, Intuition and Modeling
Multiple postdoctoral openings on the market on two new projects geared towards accelerating expertise development from training using memory systems theory. One project will build up methods to increase the use of intuition in making decisions. The second project make use of targeted memory reactivation to improve consolidation processes and speed learning. Both projects reflect collaborative research between your laboratories of Professor Paul Reber and Professor Ken Paller /. Also see for more information within the local cognitive neuroscience environment.
We are trying to find postdoctoral candidates that has a strong curiosity about human memory research sufficient reason for expertise in many of 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 on the rolling basis. Multiple two-year appointments are available today. Applications will include a cover letter, CV, and names that is at least three references.
We may also be looking to use a new Research Assistant for that lab. Applications with the RA position runs through NU Human Resources.
I got another request to inquire into yet another media state that technology isn't good for our brains. It s actually additionally a good illustration showing really poor science reporting on television, so I won t link it, nevertheless the topic seems generally appealing and it definitely seems to be based over a curious underlying folk type 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 so we are less smart than we might be otherwise. But this misses the matter of substitution. If you aren t memorizing something you'll be able to look up, will you learn another thing instead?
To me, the interesting underlying idea is: Memory doesn t provide an off switch
We are constantly recording experiences from my environment. Of course, not everything gets remembered, so maybe we focus too much for the memory failures. But we aren t consciously turning our memories don / doff through the day. So if we have been trying to memorize arbitrary facts that individuals could search for on google instead, during that time we aren t doing another thing that could have remaining a useful memory trace. Note that I m describing this just as one attention/perception bottleneck, nonetheless it could become a memory consolidation level bottleneck at the same time which is most likely the actual constraint that keeps us from remembering everything we all experience.
The sole method for this argument to completely make sense is always to have a strong theory that everything we'd have memorized as opposed to relying on google is a lot more valuable in our internal knowledge state than everything we learn instead. I think which is going being a hard case to produce. And it won t actually be about technology.
There s another way for making a possible technology hurts your brain case dependant on skill learning/strengthening. If memory is usually a skill that could be improved by intensive practice, then concentrated efforts to memorize arbitrary information could theoretically allow 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 in this way and many individuals have tried to do that.
Working memory looks for being trainable, in case anything, technology that produces you hold a matter in mind while investing in the search words to look this is going to expand your WM as opposed to causing it to atrophy.
So no, technology is just not going for making us less smart. It s almost certain being overwhelmingly within the other direction the access furnished by the internet to incredibly rich and diverse varieties of information means the normal knowledge content in the average neural in the 21st century is a many more than the 20th or every other prior time.
I was inspired to answer some questions from your middle school student conducting a research project on games. Since I am considering the topic generally, I should probably learn how to answer these types of questions in an age-appropriate level. My attempt:
1. Do online games affect the mind? Do online games affect the state of mind? Do online games damage the thinking part of the mind?
Yes, games can affect your head, like whatever else that you do many. However, these changes can sometimes be for that better. There is recent evidence improvements in visuospatial attention the method that you see the world following game play. There may also be changes for that worse, like increasing aggression, but these aren't yet well understood.
2. Can game titles improve people s knowledge? Can they help people s grades advance in school? Or can they get bad grades?
Video games probably won t help you in education very much. They can lead to further problems in schoolwork when kids play way too many games and don t maintain homework and assignments. If you're getting your homework done, doing offers won t hurt and could actually help a bit.
3. Can online games make people lose time? With friends? Time outside?
If you spend an excessive amount of time on games and don't make time for friends, family, proper exercise and sleep, then that could very likely lead to further problems.
4. Can online games make people sick? Gain weight? Headaches or possibly a tumor?
Some people report dizziness and nausea upset stomach from games that provide you first person perspective. This is most likely related to the style of motion sickness you are able to get when riding in the car. In rare cases, many people may react badly to flashing lights/sounds in game titles. In general, games won t allow you to sick. If you eat within an unhealthy way when playing videogames, which could lead to weight gain and also other health problems.
5. Can games make people endlaved by what their mainly about? How do they accomplish this? Why do people get addicted?
Gaming addiction just isn't well understood. Games aren t addictive the best way other things are similar to cigarettes. However, you can find certainly many people who have problems as with 2 and 3 above. They seem to experience so much so it messes up lots of other things in their lives. That looks similar to being addicted. It also will look like lots of other problems that teenagers often run across mood swings, depression, difficulty in concerning others. I usually do not think it's well known whether games could potentially cause those problems or whether kids having those varieties of problems for another reason why sometimes like to play plenty of videogames.
Thank you significantly for your help.
As an exercise towards the reader, explain what's wrong with his complaint that what most of the 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 just a 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 from your environment so that you can improve behavior. Because familiarity with environmental structure is acquired outside awareness, it truly is challenging to determine the particular nature with the information that
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