Re: Title: (2009) Caffeine alters proliferation of neuronal precursors in the adult hippocampus

Mike L., what makes you think that large doses would reverse the effect??

On Thu, Sep 22, 2011 at 10:24 AM, Mike L. <cool2bwichu@gmail.com> wrote:

none of this really answers my question though...do large amounts of
caffeine reverse this effect and actually increase neurogenesis? And
if not, how much caffeine actually produces this effect? (considering
the study above claims that this would only occur at 1400mg for
someone who weighs 160 lbs)...

On Sep 22, 1:11 am, Mike <mikebk...@gmail.com> wrote:
> I'm wondering if simply having continuously elevated stress levels also
> hinders hippocampal neurogenesis.
>
> as I pointed before:
>
>    - chill time (including sleeping, marijuana high, etc.) --> neurogenesis
>    - stressing time --> metabolic ressources directed toward "monitoring the
>    environment"
>
> Tell me what you think, I might be off with that.
>
> In other words is it specific chemicals in the coffee or just the general
> stress response that hinders neurogenesis?
>
>
>
>
>
>
>

> On Wed, Sep 21, 2011 at 10:50 PM, Mr. Menesus <mene...@gmail.com> wrote:
>
> >> Not very relevant to usual consumption since I think most people are
> >> drinking regular coffee/tea or using powder/concentrated forms, but
> >> still, curious that caffeine has an odd curve - down then up then down
> >> again.
>
> > While it doesn't follow the "dose-response" curve typical of pharmacology:
> >http://upload.wikimedia.org/wikipedia/en/9/9b/DoseResponse000.jpg
>
> > it does seem to follow the curve typical of hormesis:
> >http://en.wikipedia.org/wiki/Hormesis
>
> > Other plant toxins offer a positive benefit; for instance many
> > phytochemicals in healthy vegetables are actually toxins that, in the small
> > dose of a serving of vegetables, lead to adaptations by the organism.
>
> > Perhaps this explains why in small doses caffeine has a positive effect but
> > in large doses it has a negative one.
>

> > On Wed, Sep 21, 2011 at 8:05 PM, Gwern Branwen <gwe...@gmail.com> wrote:
>
> >> While we are on the topic of caffeine....
>
> >> "Caffeine at levels found in decaffeinated beverages is behaviourally
> >> active"
>
> >> > It has previously been assumed that levels of caffeine typically found
> >> in decaffeinated beverages have no behavioural effects. However, recent
> >> findings from our laboratory indicate that caffeine doses as low as 9 mg
> >> have psychoactive properties which can endure for several hours. The current
> >> study aimed to establish the lowest active dose of caffeine and to ascertain
> >> the duration of any effects. Twenty participants took part in this
> >> randomised, placebo-controlled, double-blind, balanced-crossover study
> >> assessing the effects of three different doses of caffeine (2.5, 5, and 10
> >> mg) administered in fruit juice. Cognitive performance, mood, autonomic
> >> activity and salivary caffeine were assessed pre-dose and at 1, 3, 6 and 9 h
> >> post-dose. Compared with placebo, performance was impaired by 2.5 mg, whilst
> >> 5 mg had negative effects on mood and mixed effects on performance and 10 mg
> >> improved performance. A number of these effects were apparent at 9 h
> >> post-treatment. Given that the average cup of decaffeinated coffee contains
> >> 3–5 mg caffeine, these results demonstrate that decaffeinated coffee is not
> >> inert as previously believed and this has implications for research which
> >> utilises decaffeinated coffee as placebo. Effects of caffeine are also
> >> longer-lasting than previously thought with effects apparent 9 h post-dose.
> >> This finding may offer an alternative explanation to withdrawal models for
> >> differing results in the literature pertaining to baseline performance in
> >> consumers and non-consumers of caffeine.
>
> >>http://www.sciencedirect.com/science/article/pii/S0195666308000196
>
> >> Not very relevant to usual consumption since I think most people are
> >> drinking regular coffee/tea or using powder/concentrated forms, but
> >> still, curious that caffeine has an odd curve - down then up then down
> >> again.
>
> >> I couldn't find the PDF fulltext of that study, but while searching, I

> >> did findwww.scicompdf.se/cooldown/haskell_2008.pdf(abstract:

> >>http://www.ncbi.nlm.nih.gov/pubmed/18006208) which is a nice study

> >> confirminghttp://www.ncbi.nlm.nih.gov/pubmed/18681988- that

> >> theanine+caffeine is better than either alone (although I hadn't
> >> expected to see any negative effects from theanine alone).
>
> >> --
> >> gwern
> >>http://www.gwern.net
>
> >> --
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NBR Track Workout Tonight 9/22

Join us out there tonight for what could possibly be the easiest NBR Thursday night workout in history (talking about over 2 years here!)  In preparation for the 5th Ave mile this Saturday, we will do the following workout:

3x300m @ Mile Race Pace, 300m jog recovery
3x200m @ Mile Race Pace, 200m jog recovery

To make it even easier, you can opt to just the 300's.  Or just the 200's.  Tonight is not about getting faster, but to remind your body of pace and form and all things good.  And to pick up your bibs.

See you tonight.

j, k, and l

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Re: Seems to have slipped under the radar - (2005) Title: Reasoning=working memory=attention

Hi. Does anyone here know about an attention improving program?

2011/9/22 genvirO <carsthatdrive@hotmail.com>

This is interesting stuff! If anyone wants any of the articles just
let me know.
-------------------------------------------------------------------------------------------------------
I haven't checked the reference section but I think this may be a
follow up study...

Title: (2006) Cognitive Abilities and Their Interplay: Reasoning,
Crystallized Intelligence, Working Memory Components, and Sustained
Attention

Journal of Individual Differences
Volume 27, Issue 2, June 2006, Pages 57-72

Link - http://www.sciencedirect.com.ezproxy.lib.swin.edu.au/science/article/pii/S1614000106600318

Abstract
The aim of this study was to confirm that coordination and storage in
the context of processing are significant predictors of reasoning even
if crystallized intelligence is controlled for. It was also expected
that sustained attention and coordination would be highly correlated.
Therefore, 20 working memory tests, 2 attention tests, and 18
intelligence subtests were administered to 121 students. We were able
to replicate results indicating that storage in the context of
processing and coordination are significant predictors of reasoning.
Controlling for crystallized intelligence did not decrease the common
variance between working memory and reasoning. The study also revealed
that the factors coordination and sustained attention were highly
correlated. Finally, a model is presented with the latent variables
speed and g, which can explain almost all of the common variance of
the applied aggregates. A detailed discussion of the results supports
the view that working memory and intelligence share about 70% of the
common variance.

On Sep 22, 7:27 pm, Colin Dickerman <collin.silvern...@gmail.com>
wrote:

> Chimps have more working memory than humans!?
>
> I saw a documentary that featured a really smart crow. They have tiny
> brains, but can understand and use tools. How long did it take us to
> invent the wheel?
>
> On Sep 21, 9:52 pm, Mike <mikebk...@gmail.com> wrote:
>
>
>
>
>
>
>
> > Fascinating. Thanks for posting. It makes sense from a computational point
> > of view: reasoning requires recursively confronting different pieces of
> > information, in a kind of trial&error. The wider the trial (storage and
> > coordination of that storage) the better the result.
> > What do you think of this?
>
> > Also, chimps have a better working memory than humans, and are indeed
> > observed to be extremely inventive in many experiments, often more than the
> > average human.
> > What do you think of this second idea? Confirmations and infirmations
> > welcome.
>
> > On Thu, Sep 22, 2011 at 12:32 AM, genvirO <carsthatdr...@hotmail.com> wrote:
> > > So, based on there findings they cited two important WM elements that
> > > are highly predictive of reasoning ability.
> > > 1. Storage in the context of processing
> > > 2. Coordination
>
> > > What do these two elements relate to? Well, the following info
> > > describes what is meant here based on the measures used in the study.
>
> > > 1. Storage in the context of processing tasks
>
> > > The "storage in the context of processing" component of the working
> > > memory model was assessed by dual tasks. One processing and one
> > > storage task were combined for each trial. The procedure was as
> > > follows: First, the materials to be remembered were presented one
> > > immediately after another (1-s inter-stimulus interval). Second,
> > > participants had to perform a series of CRTs described above, which
> > > were unrelated to the material to be remembered. The CRTs lasted for 5
> > > s (no matter how many trials the participants had performed within
> > > this time) to keep the time between learning and recall constant and
> > > to measure the recall independent of the processing speed. Finally,
> > > the participants were asked to recall the memory set (see Fig. 1).
>
> > > The materials to be remembered were either nouns, digits, patterns
> > > (3×3 matrix, partially filled), or spatial locations of dots. The
> > > stimuli always had to be recalled in the correct order. For dual tasks
> > > with verbal material nouns had to be recalled and, in between, CRT
> > > categories task had to be performed. The number of nouns to be
> > > remembered increased from 3 to 7. Numerical dual tasks combined CRT
> > > odd–even tasks and a series of digits to be remembered. Three items
> > > were administered for each memory load, whereas memory loads varied
> > > from 4 to 8 digits. Also, two spatial dual tasks were applied. The
> > > first one combined CRT pattern symmetry with a task where the spatial
> > > location of dots presented (within a rectangle frame) had to be
> > > remembered. In the course of the second spatial task, participants had
> > > to remember several partially filled 3×3 patterns and perform CRT
> > > arrows up–down tasks. The spatial dual tasks consisted of memory loads
> > > varying from 2 to 4, each level represented by five items.
>
> > > Two scores were obtained from these dual tasks: the number of elements
> > > correctly remembered (memory performance) and the log-transformed
> > > reaction times for the CRT subtasks. Since the correlations between
> > > these two subtask scores were low, and since it is common practice to
> > > evaluate storage and processing tasks according to memory performance
> > > only (e.g., Daneman & Carpenter, 1980), the analyses were based only
> > > on the dual tasks' memory scores.
>
> > > --------------------------------------------------------------------------- -
>
> > > 2. Coordination tasks
>
> > > The "coordination" component of the working memory model was measured
> > > by monitoring tasks. Changing relations between several independently
> > > changing objects had to be monitored. Participants were instructed to
> > > detect certain critical relations. In order to compute and to
> > > continuously update the relations between the objects, simultaneous
> > > access to them was required.2
>
> > > The verbal monitoring task consisted of a 3×3 matrix with a word in
> > > each of the nine cells. One randomly chosen word was replaced every 2
> > > s. The space bar had to be pressed whenever three rhyming words were
> > > presented in either the horizontal, vertical, or diagonal line. During
> > > one trial, 2 to 5 target rows appeared within 10 to 20 replacements.
> > > In the numerical monitoring task, three-digit numbers were presented
> > > in each of the 9 cells. Rows with equal last digits had to be
> > > detected. One randomly chosen number changed every 1.5 s. After each
> > > trial, feedback about hits, misses, and false alarms was presented.
> > > Scores were obtained by subtracting false alarms from hits.
>
> > > "Flight control" was the first spatial monitoring task. A number of
> > > airplanes (ranging from 5 to 9 during the 15 items) represented by
> > > triangles moved across the screen in various directions with 4
> > > different speeds. Mountains (clusters of brown squares) were located
> > > on the screen. Unpredictably, airplanes appeared on the border of the
> > > screen. Their flight direction maintained the same until they left the
> > > screen. The instruction was to monitor that no plane crashed either
> > > with another plane or a mountain. Plane movement could be stopped by
> > > pressing the space bar, then one plane had to be chosen by mouse click
> > > and redirected. Traffic started again after pressing the space bar.
> > > The participants were told that they started with 100 credit points at
> > > each trial. Each crash would cost 10 points and each movement stop 3
> > > points. The goal was to avoid crashes and to stop the planes as seldom
> > > and as briefly as possible. Duration of movement stops was also
> > > measured. Without interruption each trial lasted about 12 s. Feedback
> > > was given after each trial regarding the number of crashes, the
> > > remaining points, and the cumulative duration of movement stops.
> > > Scores were obtained by counting the number of crashes (see Fig. 2).
>
> > > "Finding squares," the second spatial coordination task, consisted of
> > > 8 to 12 red dots randomly located within a 10×10 matrix. Two randomly
> > > chosen dots changed their position every 1.5 s. Twenty items were
> > > presented. Participants had to press the space bar whenever four dots
> > > formed a square. Position and size of the square were not relevant.
> > > Scores were obtained by subtracting false alarms from hits.
>
> > > On Sep 22, 2:19 pm, genvirO <carsthatdr...@hotmail.com> wrote:
> > > > Pretty interesting article!
> > > > ----------------------------------
>
> > > > (2005) Title: Reasoning=working memory=attention
>
> > > > Date - Available online 2 March 2005
> > > > Journal - Intelligence 33 (2005) 251–272
>
> > > > Link -
> > >http://www.sciencedirect.com.ezproxy.lib.swin.edu.au/science/article/...
>
> > > > Abstract -
> > > > The purpose of this study was to clarify the relationship between
> > > > attention, components of working memory,
> > > > and reasoning. Therefore, twenty working memory tests, two attention
> > > > tests, and nine intelligence subtests were
> > > > administered to 135 students. Using structural equation modeling, we
> > > > were able to replicate a functional model of
> > > > working memory proposed by Oberauer, Suess, Wilhelm, and Wittmann
> > > > (2003) [Oberauer, K., Suess, H.-M.,
> > > > Wilhelm, O., & Wittmann, W. W. (2003). The multiple faces of working
> > > > memory: Storage, processing,
> > > > supervision, and coordination. Intelligence, 31, 167–193]. The study
> > > > also revealed a weak to moderate relationship
> > > > between the selectivity aspect of attention and working memory
> > > > components as well as the finding that
> > > > supervision was only moderately related to storage in the context of
> > > > processing and to coordination. No
> > > > significant path was found from attention to reasoning. Reasoning
> > > > could be significantly predicted by storage in
> > > > the context of processing and coordination. All in all, 95% of
> > > > reasoning variance could be explained.
> > > > Controlling for speed variance, the correlation between working memory
> > > > components and intelligence did not
> > > > decrease significantly.
>
> > > > Link -
> > >http://www.sciencedirect.com.ezproxy.lib.swin.edu.au/science/article/...
>
> > > > Just for the sake of it, here's the discussion...
>
> > > > DISCUSSION:
>
> > > > The present study replicated the finding that "storage in the context
> > > > of processing" is the best predictor of reasoning. Furthermore, it was
> > > > revealed that "coordination" is also a significant predictor of
> > > > reasoning. "Supervision" and the "selectivity aspect of attention" had
> > > > only little or no impact on reasoning. Moreover, the variance
> > > > explained by the "selectivity aspect of attention" predicting
> > > > reasoning can be reduced to speed variance. The variance explained by
> > > > working memory components (especially "storage in the context of
> > > > processing" and "coordination") on reasoning was 95% regarding the
> > > > latent factors. However, using a multiple regression analysis, the
> > > > explained variance was reduced to 49%. This might be due to the
> > > > moderate construct reliability of all constructs and therefore, a big
> > > > correction of attenuation occurred.
>
> > > > Furthermore, this study replicated the functional facets of the model
> > > > proposed by Oberauer et al. (2003), but not the content facets.
> > > > Nevertheless, the well-known fact was replicated that the factor
> > > > "supervision/speed" correlated only moderately with the factors
> > > > "storage in the context of processing" and "coordination"
>

> ...
>
> read more »

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Re: [CardioTrainer Users] Noom Calories Burned Performance Based

This way if I maintain a higher average burn I'll be rewarded with being able to eat more.

This is actually something we're trying to avoid. Many of our users exercise for weight loss, and if you compensate your calorie loss from exercise activity by eating more food, it makes it much harder to see the results of that exercise.

Hopefully that makes sense, it's something very interesting to consider!

Charlie

On Mon, Sep 19, 2011 at 2:20 PM, Bruneauinfo <bruneauinfo@gmail.com> wrote:

It would be nice if the calorie intake projections in the Plan menu in
Noom were based on actual calories burned per week. That is how much
I'm allowed to eat should be based on my past weeks performance rather
than an abstract exercise plan (or at least to have the option to set
up my plan this way). If I burned 2500 calories over the past 7 days
my caloric intake suggestions should be based on 2500 calories burned.
This way if I maintain a higher average burn I'll be rewarded with
being able to eat more. If however I slack off a little on my
exercise, or if I get injured and have to take a break, the caloric
intake suggestions will decrease to match what is actually happening
rather than what I plan on happening.

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Re: [CardioTrainer Users] Voice output is really low

Hi Denian — Can you test something for me? Before starting a workout, go to your phone's home screen and make sure your ringers volume is all the way up. See if this helps you hear the notifications.

Charlie

On Wed, Sep 21, 2011 at 6:13 AM, Denian <dani.romero@gmail.com> wrote:

Hi,

I have an HTC Desire and I use Cardiotrainer and Spotify applications
when I go running. I usually play music with Spotify and listen to the
notifications of Cardiotrainer.

That used to work but since a couple of months ago the notifications
are really low, I barely can hear them. I have my audio settings
correctly configured, the multimedia sound is high. And, in
Cardiotrainer settings I have the notification volume set to 100%.

Do you know what is going on?

Thanks

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