Does sleep itself promote memory consolidation? This is not evident at all. We will only ascertain this through well-designed experiments. Our fresh new article aims to elevate sleep and memory research to a higher level.
D.Nemeth
Our new article on behavioral addiction is out!
Work addiction is not yet officially recognized as an addiction disorder. However, we have taken a step in that direction by mapping cognitive functioning in individuals exhibiting "workaholic" behaviors. This could also be a significant stride toward understanding and preventing burnout.
https://www.nature.com/articles/s41598-023-47515-9
Wow! Have you ever seen a scientific poster in #Barbie style before? It’s so cool! Adore it! Maybe I’ll use it at the #SfN #Escop or #Psychonomics conference. I can’t wait to see posters in #StarWars, #StarTrek or #Oppenheimer style. That would be amazing!
Our new article on intact statistical learning (with second-order non-adjacent dependencies) in autism is now available. Here, we propose that representational learning remains intact in individuals with autism.
The Serial Reaction Time Task is not a motor learning but a visuomotor learning task. You can find our latest article about this topic published in the European J of Neurosci here:
In a new article, my university classmate Vera Békés
and I developed a new grieving theory based on competitive learning and memory processes. It was published in the journal Brain Research Bulletin.
https://www.sciencedirect.com/science/article/pii/S0361923023000862?via%3Dihub
Our new preprint on mind wandering, predictive processing, statistical learning, and the possible link with local sleep is now available.
https://researchsquare.com/article/rs-2874035/v1
Although practitioners recognize impaired interpersonal distance regulation in autism spectrum disorder, there is little empirical evidence in scientific literature. In our new ms, we focused on this topic.
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0283761
Our new publication is now available.
We employed a combination of RIDE (residue iteration decomposition) and MVPA (multivariate pattern analysis) on EEG data to demonstrate that probability information can be decoded both as modality-specific and modality-independent neural representation in sequence learning.
https://doi.org/10.1093/cercor/bhad079
D.Nemeth boosted:
On explanations in brain research:
A thread of the same idea comes up again and again in brain research. It's the notion that identifying the biological details (such as the brain areas/circuits or neurotransmitters) associated with some brain function (like seeing or fear or memory) is not a complete explanation of how the brain gives rise to that function (even if you can demonstrate the links are causal). To paraphrase:
Mountcastle: Where is not how https://www.hup.harvard.edu/catalog.php?isbn=9780674661882
Marr: How is not what or why http://mechanism.ucsd.edu/teaching/f18/David_Marr_Vision_A_Computational_Investigation_into_the_Human_Representation_and_Processing_of_Visual_Information.chapter1.pdf
@MatteoCarandini: Links from circuits to behavior are a "bridge too far" https://www.nature.com/articles/nn.3043
Krakauer et al: Describing that is not understanding how https://www.cell.com/neuron/pdf/S0896-6273(16)31040-6.pdf
Poppel: Understanding brain maps does not formulate "what about" the brain gives rise to "what about" behavior https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3498052/
Any other explicit references to add to this list? @Iris, @knutson_brain, Anyone?
Also, I imagine that some form of the opposite idea must also be percolating: the notion that 'algorithmic' descriptions of the type used to build AI will be insufficient to do things like treat brain dysfunction (where we arguably need to know more about the biology to, e.g., create drugs). Any explicit references of that idea? @albertcardona @schoppik, @cyrilpedia, Anyone?
@NicoleCRust @MatteoCarandini @Iris @knutson_brain @albertcardona @schoppik @cyrilpedia
Niv, Y. (2021). The primacy of behavioral research for understanding the brain. Behavioral Neuroscience
D.Nemeth boosted:
Boosting psychological change: Combining non-invasive brain stimulation with psychotherapy
https://www.sciencedirect.com/science/article/abs/pii/S0149763422003566
Is there any change in memory consolidation across the lifespan (7-76 years of age)?
You can find out more in our most recent PNAS Nexus article.
https://academic.oup.com/pnasnexus/article/2/3/pgad037/7031413
D.Nemeth boosted:
It is assumed that subset-knowers either know a number reliably or don’t know it at all. Others hint that their knowledge may be gradual at the edge of their number knowledge. We demonstrate this gradual knowledge more directly. https://doi.org/10.1016/j.cogdev.2022.101288
At which moment in time are we learning: during learning sessions or during the short breaks in between? Our most recent paper investigates the temporal factors as well as individual differences in ultra-fast memory consolidation.
D.Nemeth boosted:
When describing the development of the ANS, it may be misleading to describe the development in infants and older children at the same time. More details at https://doi.org/10.1016/j.cogdev.2022.101285
D.Nemeth boosted:
Do you use the Give a number task? Consider measuring numbers beyond 5. There may be 5-, 6-, etc.-knowers who are not CP-knowers. Your measurement may be more precise, reliable, and valid with the refined GaN methods. https://doi.org/10.1016/j.cogdev.2022.101288
Feel free to comment on our new preprint. We found a negative correlation between Statistical learning and Executive functions/Working Memory
https://biorxiv.org/content/10.1101/2023.01.19.524710v1.full
Can and how do humans make risky decisions in an ever-changing environment?
You can find out in our new article.
#risktaking #decisionmaking #BART
D.Nemeth boosted:
If you repeatedly perform a hypothesis test when the null hypothesis is true, p-values will randomly drift between 0 and 1, and therefore, if you test often enough, you will always find a significant effect. https://lakens.github.io/statistical_inferences/errorcontrol.html#optionalstopping This is why preregistration is important. You can test multiple times as data comes in, but then you need to adjust the alpha level: https://lakens.github.io/statistical_inferences/sequential.html For a single simulation of the p-values you could get, see:
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