Question

Asked 6th Sep, 2012

Andhra University

Memories of Experience

Can human Long Term Memories be ever mapped and downloadable?

Long-Term Memory

Sidharta Chatterjee

Andhra University

Well there seems to be some distant possibilities, but would be fascinating when that time comes;

Singularity 1 on 1: Dr. Randal Koene on the Ethics of Mind Uploading

www.singularityweblog.com/singularity-1-on-1-randal-koe.

Dr. Randal Koene

http://rak.minduploading.org/

http://www.minduploading.org/

http://minduploadingproject.org/

http://www.ibiblio.org/jstrout/uploading/

But I am not sure enough how far it is science or just fiction.

Cite

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Vieillard Philippe

Hello,

I have three same papers which have different numbers of citations and different number of readings and I would like to merge these three papers in one paper with taking account of a new number of citations and readings.Is it possible to do this manipulation?

Thanking for advance for your help.

Ph.Vieillard

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Why stepAIC gives a model with insignificant variables in the summary(model)?

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8 answers

Asked 9th May, 2015

Audrey Garnier

I would like to know what environmental variables allows to explain the presence of several species (binomial glm). I used a stepAIC procedure to select the best model.

But when I do a summary(model), some variables are not significant (according to pvalues). How can I interpret these results ? Can one says that all the variables are usefull to explain the presence of the species but that only some of them are significant ? Must I interpret coefficient estimates of unsignificant variables ?

Thank you very much for your help !

Hera are the results of my summary(model) :

> summary(LiDAR_selection10[[1]])

Call:

glm(formula = dfSURVEY_presence_absence[, i] ~ Chm10 + Wetness10 +

Light.Bode10 + Chm10:Wetness10 + Chm10:Light.Bode10, family = binomial)

Deviance Residuals:

Min 1Q Median 3Q Max

-1.9818 -1.0054 0.5533 0.9494 1.7402

Coefficients:

Estimate Std. Error z value Pr(>|z|)

(Intercept) 27.243650 16.103729 1.692 0.0907 .

Chm10 -0.983108 0.498498 -1.972 0.0486 *

Wetness10 -1.159092 0.926263 -1.251 0.2108

Light.Bode10 -0.181315 0.096564 -1.878 0.0604 .

Chm10:Wetness10 0.042711 0.029435 1.451 0.1468

Chm10:Light.Bode10 0.006562 0.003038 2.160 0.0308 *

---

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

(Dispersion parameter for binomial family taken to be 1)

Null deviance: 84.635 on 62 degrees of freedom

Residual deviance: 72.251 on 57 degrees of freedom

AIC: 84.251

Number of Fisher Scoring iterations: 4

What test to use when you've multiple hypothesis with multiple DVs?

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4 answers

Asked 29th Mar, 2020

Vatsal Priyadarshi Pandey

The study aims to find whether three types of depression (mild, moderate, severe) affects memory differently. Also, there will be a control group. Thus there are 4 groups.

There are three types of memory tests to assess three types of memory namely:

Long term memory

Working memory

Visual memory

For each of these memory functions three different tests have been administered with each test yielding a single score that. Thus we have 3 different DVs corresponding to each memories i.e., long term memory, working memory, visual memory.

Coming to the hypothesis I have 3 hypothesis. Whereby predictions are made regarding performance of each group on these 3 measures. So:

H1: severe group will perform poorly in comparison to other groups on visual, working memory and long term memory measures.

H2: Moderate group will perform poorly in comparison to mild group and the control group on long term memory measure.

H3: Mild group will perform poorly in comparison to the control group on measure of working memory.

Now in such a situation should I go for

MANOVA or ANOVA?

I get pretty confused when people say that I should use ANOVA as each ANOVA will be testing each hypothesis and thus chances of rejecting a true null hypothesis will not be their.

PS: I am assuming that my data is following the basic assumptions required to conduct both of these tests.

Thanks

Regards

Does anyone have recent references about long term memory and dyslexia; short term memory and dyslexia?

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Asked 26th Sep, 2014

Genevieve Vandenbroucke

memory and comprehension

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(Tokizawa Award) Molecular and cellular mechanisms underlying formation of long-term memory

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LETTER TO THE EDITOR: Extremal driving as a mechanism for generating long-term memory

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David Head

It is argued that systems whose elements are renewed according to an extremal criterion can generally be expected to exhibit long-term memory. This is verified for the minimal extremally driven model, which is first defined and then solved for all system sizes N>=2 and times t>=0, yielding exact expressions for the persistence R(t) = [1 + t/(N-1)]-...

Long-term memory modules

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One particular kind of structure offers possible explanations, for long-term memory, efficient consolidation of stored information from the environment, clustering of data strings and multimodal functioning. It is a possible model for pieces of neural structure and its use offers a uniform method for both studying and constructing an extensive clas...

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