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I ran across this url to Paul Krugman being insightful and thoughtful around the general question of What is often a Model and What do we utilize them for in Science? It s about economics and specifically kinds of development economics, nevertheless the general questions of methodology sign up for social sciences more broadly. It is in the
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 on the market on two new projects geared towards accelerating expertise development from training using memory systems theory. One project will establish
I got another request to discuss yet another media declare that technology is unappealing for our brains. It s actually additionally a good instance of really poor science reporting on television, so I won t link it, however the topic seems generally appealing and it looks like it's based using a curious underlying folk
I was motivated to answer some questions from the middle school student conducting a research project on game titles. Since I am enthusiastic 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 an interesting piece within the philosophy of science and popular understandings of science: How our botched knowledge of science ruins everything /article/index/268360/how-our-botched-understanding-of-science-ruins-everything As an exercise on the reader, explain 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 happens in the brain, particularly memory acquired through practice
How experience shapes action, perception and weighed pervasive mechanisms of plasticity throughout the mind
Investigating memory system interactions and intuitive selection using visual category learning.
Check the Presentations link around 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 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 types of development economics, however the general questions of methodology affect social sciences more broadly.
It is inside a way unfortunate that for several of us the whole picture of a successful field of scientific endeavor is basic physics. The objective in the most basic physics is really a complete description of the happens. In principle and apparently in reality, quantum mechanics provides a complete account products goes on inside, say, a hydrogen atom. But most things you want to analyze, during physical science, can't be dealt with during that level of completeness. The only exact style of the global weather product is that system itself. Any style of that product is therefore to varying degrees a falsification: it leaves out some many elements of reality.
How, then, does the meteorological researcher decide things know about put into his model? And how does he decide whether his model can be a good one? The answer towards the first question is usually that the choice of model represents a blend of judgement and compromise. The model should be something you probably know how to make that may be, you happen to be constrained by the modeling techniques. And the model need to be something it is possible to construct given your resources time, money, and patience will not be unlimited. There may be many models possible given those constraints; what kind or ones you select actually to construct depends on educated guessing.
And you ought to that the model is great? It will not be right in the way in which quantum electrodynamics meets your needs. At a certain point you will be good enough at predicting your results may be used to repeated practical use, such as giant weather-forecasting models that run on today s supercomputers; therefore predictive success may be measured with regard to dollars and cents, plus the improvement of models turns into a quantifiable matter. In the early stages of any complex science, however, the criterion for any good model is a lot more subjective: it can be a good model if this succeeds in explaining or rationalizing some with the items you see from the world inside a way that you may not have expected.
There is fashionable nice description of an Dishpan model by David Fultz as an illustration of a hyper-simplified model that illustrated some emergent properties ideal for meteorology.
What resonates when camping about Krugman s description is often a common desire for building the easiest, descriptive models that any of us hope illuminate underlying principles in complex processes. In Economics, particularly Macro, the scientific goal is always to understand systems of unmanageable complexity interactions among the many people and institutions that produce economic activity. In Neuroscience and Psychology, we try to understand the brain, fashionable system of unmanageable complexity.
I also prefer simple models which has a small number of parameters as an example concepts, while sporting a wide range of admiration and respect for modelers who take within the complexity to construct up from individual neurons each themselves having nearly unmanageable complexity, fwiw. The simple models also are not right within the same sense Krugman describes above, nonetheless they can are the reason for some useful fraction from the variance we try 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 from the complexity spectrum too, about why it truly is worth even building simple models that has a few parameters outside of simply making theoretical statements like changing x creates a change in y. Such theoretical statements include the bread and butter of ordinary approaches to Psychological Science, especially experimental work, but I ll leave the result as a workout, perhaps to become tackled within my graduate seminar the very next time I teach modeling hints: quantification and prediction are crucial.
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 enhance the use of intuition in selection. The second project use targeted memory reactivation to improve consolidation processes and speed learning. Both projects reflect collaborative research involving the laboratories of Professor Paul Reber and Professor Ken Paller /. Also see for more information around the local cognitive neuroscience environment.
We are searhing for postdoctoral candidates that has a strong desire for human memory research along with expertise in several 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 will likely be evaluated when received and hiring decisions made over a rolling basis. Multiple two-year appointments are now available. Applications includes a cover letter, CV, and names that is at least three references.
We will also be looking to use a new Research Assistant for your lab. Applications to the RA position moves through NU Human Resources.
I got another request to touch upon yet another media report that technology is unappealing for our brains. It s actually fashionable good demonstration of really poor science reporting on tv, so I won t link it, however the topic seems generally of curiosity and it is apparently based using a curious underlying folk type of cognition worth planning on.
How would this work? How could technology make us less smart? The core idea is the fact that be looking things up, we memorize less and thus we are less smart than we might be otherwise. But this misses the situation of substitution. If you aren t memorizing something you may look up, would you learn something else entirely instead?
To me, the interesting underlying idea is: Memory doesn t come with an off switch
We are constantly recording experiences from the environment. Of course, not everything gets remembered, so maybe we focus too much within the memory failures. But we aren t consciously turning our memories off and on through the day. So if we're trying to memorize arbitrary facts that people could search for on google instead, during that time we aren t doing another thing that could have gone a useful memory trace. Note that I m describing this for an attention/perception bottleneck, nevertheless it could be considered a memory consolidation level bottleneck too which is most likely the actual constraint that keeps us from remembering everything we go through.
The sole method for this argument to truly make sense is usually to have a strong theory that everything we may have memorized as opposed to relying on google is a lot more valuable to internal knowledge state than everything we learn instead. I think which is going to become a hard case to generate. And it won t sometimes be about technology.
There s another way to generate a possible technology hurts your brain case determined by skill learning/strengthening. If memory is really a skill that is usually improved by intensive practice, then concentrated tries to memorize arbitrary information could theoretically cause you to be better at remembering well as over time, you d just get smarter. But there is no evidence anywhere that long-term memory might be strengthened using this method and many folks have tried to do that.
Working memory looks to get trainable, however if anything, technology which enables you hold something in mind while setting up the keyphrases to look up is going to expand your WM in lieu of causing it to atrophy.
So no, technology will not be going to generate us less smart. It s almost certain being overwhelmingly within the other direction the access given by the internet to incredibly rich and diverse varieties of information means the typical knowledge content on the average brain in the 21st century can be a lot more compared to the 20th and other prior time.
I was motivated to answer some questions coming from a middle school student performing a research project on video gaming. Since I am considering the topic generally, I should probably discover how to answer most of these questions with an age-appropriate level. My attempt:
1. Do video gaming affect the brain? Do games affect the thought process? Do game titles damage the thinking part of as their pharmicudical counterpart?
Yes, game titles can affect your head, like whatever else that you do a great deal of. However, these changes can sometimes be for your better. There is recent proof of improvements in visuospatial attention how you will see the world following video gaming play. There may also be changes for your 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 progress in school? Or can they get bad grades?
Video games probably won t help you at school very much. They can create problems in schoolwork when kids play a lot of games and don t sustain homework and assignments. If that you are getting your homework done, doing offers won t hurt and may even actually help slightly.
3. Can games make people lose time? With family? Time outside?
If you spend a lot of time on games and never make time for friends, family, proper exercise and sleep, then that may very likely make trouble.
4. Can video gaming make people sick? Gain weight? Headaches or perhaps a tumor?
Some people report dizziness and nausea upset stomach from games giving you first person perspective. This is most likely related to your kind of motion sickness you are able to get when riding inside a car. In rare cases, a lot of people may react badly to flashing lights/sounds in online games. In general, games won t cause you to be sick. If you eat in a unhealthy way when playing videogames, which could lead to excess weight and other health issues.
5. Can online games make people enslaved by what their mainly about? How do they try this? Why do people get addicted?
Gaming addiction isn't well understood. Games aren t addictive just how other things resemble cigarettes. However, you will discover certainly a number of people who have problems such as 2 and 3 above. They seem to learn so much so it messes up a great deal of other things later on in life. That looks much like being addicted. It also look like lots of other problems that teenagers often encounter mood swings, depression, difficulty in pertaining to others. I do not think it really is well known whether games could potentially cause those problems or whether kids having those sorts of problems for another reason why sometimes like to play a great deal of videogames.
Thank you greatly for your help.
As an exercise for the reader, explain what's wrong with his complaint that what a lot of people think of science is really the opposite of science.
Seems just like a topic we should be discussing in 205. I think it s the right a higher level meta for the 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 on the environment so that you can improve behavior. Because understanding of environmental structure is acquired outside awareness, it truly is challenging to determine the complete nature with the information that
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