Associations to the essay: Associating Thoughts

Essay's Recursive Association Total 2¢ Worth: $8.55

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from Scott [the Author] on 2013-01-23 18:18
Association Index: A420
Association's 2¢ Worth: 25¢
External Link: Studio 360 - True Story: Keeping Memories Safe
Initial Association Comment:

This is the fourth segment of a four part Studio 360 episode titled Stories of Neuroscience & Memory.  The following quotation from Diniela Schiller's discussion on memory is most notable:

There is a window of opportunity to change  memories.  Each time you retrieve a memory it is vunerable in your brain and as long as you don't put it back in, it is unstable and this is when it is vulnerable, this is when you hit it with a drug.

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from Scott [the Author] on 2012-12-15 06:24
Association Index: A408
Association's 2¢ Worth: 25¢
Uploaded Image: TTBOOK_StoryTelling_Clip_2012_12_16.mp3
Initial Association Comment:

Have you ever had an authority in a subject tell you just listen?  To proclaim your thoughts and questions unworthy of discussion?  This type of thinking fails to understand how others learn.  The authority rarely understands the mindset of others in a point in time.  Authorities don't have questions, they have answers.   Answers which often fail to explain the question at the tip of the tongue.

Two of my favorite NPR programs Radio Lab and To the Best of our Knowlege came together to associate this programs.  Robert Krulwich and Jad Abumrad explains how their program ask the questions from a non-authoritive perspective.  Through questions they are able to associate with an audience.

My only compaint about this program is neither Radio Lab or To the Best of our Knowledge provides the means for the audience to participate or to ask their own questions.

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from Scott [the Author] on 2012-11-30 08:06
Association Index: A405
Association's 2¢ Worth:
External Link: Artificial Intelligence | On Point with Tom Ashbrook
Initial Association Comment:

This Artificial Intelligence episode of On Point aired on Nomember 29, 2012.  I was not inspired with the program as an association.  More so I was agitated in the presentation of the argument as a dichotomy of man vs. computer.   Below is a post I made to programs comment page.

Dichotomy is artificial. It's likely the binary nature of the computer is transforming human intelligence instead of human intelligence transforming computers. Dichotomy is not how the human neural network works. Synaptic connectivity is more complex than ones and zeros. Dichotomy discounts the grey matter. It gets stuck in an endless loop of polarization; good vs. evil, winners and losers, or man vs. computer.

Instead of fearing how the computer will overtake man's ability, why not focus on how the synaptic process can scale beyond an individual and help many discover the mutual inclusion within a solution?

Our current economic model is based on building more wealth with less human effort. Why not flip that model? How can we utilize more people to figure out how to use less energy and consume fewer resources? How can humanity's neural network be utilized to do good? It's not an either/or argument. It's not all or nothing. It's in the grey matter.

Maybe it's time to switch from artificial intelligence to real intelligence or let loose of this hold on the false dichotomy of a binary computer.

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from Scott [the Author] on 2012-11-26 06:32
Association Index: A403
Association's 2¢ Worth: $1
External Link: Rex Jung on Neuroscience of Creativity | To the best of our KNOWLEDGE
Initial Association Comment:

Rex Jung describes the neuroscience of creativity. Interesting conversation on the effects of myelination and the creative process.

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from Scott [the Author] on 2012-11-19 20:12
Association Index: A401
Association's 2¢ Worth: $1
External Link: Wiring the Brain | To the best of our KNOWLEDGE
Initial Association Comment:

This November 18, 2012 episode of To the Best of our Knowledge is titled Wiring the Brain. 

From TTBooks.

Scientists are launching one of the most audacious projects ever conceived:  a detailed map of the human brain, neuron by neron, synapse by synapse.  For some scientists, the goal isn't just to map the brain; it's to crack the mystery of consciousness.  We explore the "connectome" and the differences between the left and right sides of the brain.

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from Scott [the Author] on 2012-11-09 05:05
Association Index: A397
Association's 2¢ Worth: $1
Uploaded Image: OnBeing_20121108_mystery_we_are_128.mp3
Initial Association Comment:

This clip from the last ten minutes of On Being aired on November 8th, 2102.  The clip  conveys Marcelo Gleiser's thoughts how physics so far has been unable to model the functionality of the brain.  He explains how a new method of thinking must be developed based on how the brain handles problem solving. That internet technology is starting to touch on concepts similar to neural connectivity.

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from Scott [the Author] on 2012-11-05 06:48
Association Index: A396
Association's 2¢ Worth: $1
External Link: Mind and Brain | To the best of our KNOWLEDGE
Initial Association Comment:

From November 4th, 2012 episode of To the Best of Our Knowledge title Mind and Brain:

Neuroscientists have made remarkable discoveries about the brain, but so far, no one's come close to cracking the biggest mystery of all - the connection between the brain and the mind:  how a tangle of neurons inside your skull produces...you.

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from Scott [the Author] on 2012-10-25 08:29
Association Index: A395
Association's 2¢ Worth: 25¢
Uploaded Image: Marvin_Minsky_Society_of_Mind_Lecture_06_Consciousness_Diminshed_Seventh_Chord.mp3
Initial Association Comment:

Our existing media, our schools, our jobs seem to force us to stay on point. Hindsight often discovers the reason for collateral damage was mutually excluded in the original design. Many solutions are found in the tangents. Why can't a diminished seventh chord bridge the gap of ideas? Those who are not interested in the tangents can ignore them. Those willing to build substance to a far reaching association should be given the opportunity.

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from Scott [the Author] on 2012-10-19 06:01
Association Index: A391
Association's 2¢ Worth: 25¢
External Link: Grimms’ Fairy Tales | On Point with Tom Ashbrook
Initial Association Comment:

The human species has entwined the rationality of many false truths. Fairy tales give opportunity to understand beyond what has been myelinated in our neural networks.

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from Scott [the Author] on 2012-10-18 04:18
Association Index: A390
Association's 2¢ Worth: $1
Uploaded Image: Minsky_Cognitive_Dissonance.mp3
Initial Association Comment:

Marvin Minsky talks about theories about changing peoples mind.  He talks about cognitive dissonance in this segment.

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from Scott [the Author] on 2012-10-18 08:54
Association Index: A389
Association's 2¢ Worth: $1
Uploaded Image: Minsky_Synapses.mp3
Initial Association Comment:

Marvin Minsky discusses the flaws of existing mathematics, logic, and artificial research in terms of neuroscience and synaptic connection. 

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from Scott [the Author] on 2012-10-10 19:04
Association Index: A385
Association's 2¢ Worth: $1.25
Uploaded Image: Fresh_Air_Nate_Silver_Signal_And_Noise_Predictions_2012_10_10.mp3
Initial Association Comment:

What can I say about this NPR Fresh Air clip other than I wish I could converse with the few individuals researching these type of topics. Nate Silver thoughts of Beyesian thinking is an idea the Do Good Gauge is attempting to address through social media.  The idea that problem solving is an iterative process. That mistakes are weighed before moving on to the next step. That false perceptions can be changed through questions among many.

The entirety of the Fresh Air episode was presented on October 10, 2012.

Comments to the Association:

   from Mitch on 2012-10-11 07:45

Bayesian forecasting is incredibly impressive. Out of the 10 or so models I have worked with, it is the best for pattern detection, but it tends to come to fanciful conclusions in the long term. Another problem with the Bayesian method is that it is inscrutable. With say, the Winters method of trended linear regression on seasonal patterns, you can, at least, point to the contributors. With Bayesian, you can’t. Another problem with all these methods is the sample size. Bayesian requires many samples over time, other methods require large number in the samples themselves, yet others require pre-determined causal aggregation to get past the stability threshold. A big problem with all of these methods is the practice of excluding “outliers” – these are large deviations that cause do much variability that you cannot use the forecast at all. And yet, they happen

In practice, with the use of natural Bayesian prediction in a neural system, the sample is essentially infinite, because the sense data is a flow rather than a sample.

I am intrigued more by the title of the link than the content ..”signal and noise predictions”? As I may have said elsewhere, most of what our brains do is noise reduction – aka error-reduction.

From another perspective, you may or may not know that US military GPS satellites contained a randomising algorithm to prevent anyone but the military getting accuracy closer than half a mile. The Bayesian formula was applied by non-military to crack the noise-generator and get it to within 10 meters – It got included in personal GPS units and mobile phones.

What this all means for humans is that failure is an essential part of success. Before you reduce the error, you must make the error. In fact, anyone who “lucks-out” on the first try is on very thin ice – because they have not adapted to the systemic noise component, their next attempt will fail horrendously. And it will be horrendous because their expectation is set by trial #1 – not only will they fail, but they will experience a massive hit to confidence.

For a really good analysis of what all this means – Daniel Wolpert is the guy to listen to – he has a talk on TED.

 

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from Scott [the Author] on 2012-10-01 06:25
Association Index: A371
Association's 2¢ Worth: 25¢
Uploaded Image: TTBOOK_card-dweck-psychology-failure-and-success_2011_10_22.mp3
Initial Association Comment:

From the October 23, 2011 interview of Carol Dweck on To the Best of Our Knowledge. This association does not have direct supportive association to the essay, but it does show how persistence forms new neurons and new neural connections makes us smarter.

Carol Dweck is a researcher at Stanford University. She says everybody fails but not everybody fails the right way. According to Dweck, it's how we think about failure that matters. Dweck is the author of "Mindset: The New Psychology of Success."

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from Scott [the Author] on 2012-09-04 03:44
Association Index: A340
External Link: When Chomsky wept - Salon.com
Initial Association Comment:

Noam Chomsky's topics on the media and his skills of debate continues to provide association to the DGG. Noam Chomsky is a rarity in people who acquire such fame. He responds to emails. I'm not for sure how much he reads into my email, but for most parts he provides well wishes. Unfairly, I've criticized him for not connecting those passionate about what he speaks. He actually wrote me a lengthy response explaining his perspective. I don't agree with his reason, but do respect he took the time to explain. He is a living legend. But a living legend is as human as the rest of us. Too few have the capability to contribute acquiring the status of fame. Noam is an exception. He is still producing the best way he knows how.

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from Scott [the Author] on 2012-09-02 19:14
Association Index: A263
Do Good Gauge Essay titled Of the Connection or Association of Ideas

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from Scott [the Author] on 2012-08-27 19:57

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from Scott [the Author] on 2012-08-27 19:40
Association Index: A170
Initial Association Comment:

Association of Neural Networking / Synapse from the Movie Avatar

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