Mateus Silvestrin

Neuroscience PhD interested in timing and in emotion.
Human interested in literature and games.
@[email protected]

[Diogo Cortiz @DiogoCortiz]

🚨 Não, OpenAI, o GPT-4o não consegue detectar emoções!

A OpenAI é ótima em pegar um desafio técnico e transformar em um produto inovador. A experiência de um assistente em tempo real que processa texto, áudio e imagem é incrível e abre diferentes possibilidades de uso. +

[The Cultural Tutor @culturaltutor]

This painting is 115 years old.

It's by Zinaida Serebriakova, a remarkable artist with a remarkable life involving both World Wars, the Russian Revolution, Paris, and personal tragedy.

This is her story...

[Ivan Mizanzuk @mizanzuk]

🚨Revisão do Caso Evandro foi julgada como PROCEDENTE!

TJPR reconheceu a tortura, anulou todas as provas e absolveu todos os acusados que foram condenados!

FINALMENTE!

Obrigado a todos que acompanharam meu trabalho! Sem vocês, essas pessoas nunca teriam esse reconhecimento!

[Mateus Silvestrin @MateusPsi]

I'm super excited to start working with the @labactionbody and @manos_tsakiris! I'll be here for a year investigating cardiac interoception and moral judgment.

[Dan Quintana @dsquintana]

In our new preprint led by Bernt Glaser, we introduce the ESDist R package for calculating field-specific effect size distributions for better understanding the magnitude of study results and for planning new studies.

Let me walk you through it... 🧵
https://t.co/j0UalinMNL

[Mateus Silvestrin @MateusPsi]

Agradecimentos ao time @anocaa @PantaleaoFN e @PauloBoggio. E ao @cbiazoli pela ajuda na tradução.
Escala e codebooks aqui: https://t.co/KMzdgPbRBF

[Mateus Silvestrin @MateusPsi]

Fizemos adaptação brasileira da Escala Perth de Reatividade Emocional! Instrumento dedicado a acessar traços de Intensidade, Duração e Ativação (latência) emocional. Com a vantagem de distinguir traços para emoções positivas e negativas. Preprint: https://t.co/oOI2OfWdwG

[Hudson Golino @GolinoHudson]

We are finishing a revised (and much improved) version of our paper "Towards a psychology of individuals: The ergodicity information index and a bottom-up approach for finding generalizations". Here's our final comment to the reviewers:

Final remarks: "Working on this paper has been a mixture of emotional states. The topic is significantly difficult, and although we believe our new methods are a step forward, we acknowledge that it might be just a small piece in the direction of “addressing” the issue of ergodicity. While revising the paper, and responding to the thoughtful commentaries by the Reviewers, we could not stop thinking about one of the favorite books of the first author: “Musashi”, by Eiji Yoshikawa. This is a historical novel that tells the life story of Miyamoto Musashi, a legendary Japanese swordsman and philosopher. The book follows Musashi's journey from a reckless youth to a master swordsman and his quest for self-realization. In the book, Musashi encounters a formidable spear master in the garden of his dojo. He realizes the master’s skill and artistry by observing how he meticulously tends to the garden plants, demonstrating precise and fluid movements. This glimpse into the master’s gardening skills makes Musashi realize how much growing he had ahead of him in the search for the true way of the warrior, and his never-ending endeavor to improve himself mentally, spiritually, physically, and philosophically. The first author finds himself in this exact position right now after reading the detailed, thoughtful, and insightful reviews. We cannot thank the reviewers enough for sharing their time and knowledge, and for not just pointing to important directions to improve our manuscript, but for nudging us to think in a deeper way about the issue at hand. We express our profound gratitude to the reviewers for their time, knowledge, and their role in fostering this moment of enlightenment."

I typically have reservations about the peer-review process for various reasons, but I've never encountered more insightful reviewers than the two anonymous individuals who generously dedicated their time to provide a wealth of valuable insights, encouraging us to consider the issue more comprehensively. Reviewer 2, in particular, delivered an impressive and exceptionally sophisticated set of comments without adopting an authoritarian or confrontational tone. Reviewer 2 exhibited a remarkable combination of calmness, kindness, and profound insight, offering invaluable feedback that extends beyond the scope of this paper. Such a high level of expertise in a peer-review is a rare find in my academic experience.

To Reviewer 2 (and also Reviewer 1), whoever you are, I hold you in the highest regard. I aspire to enhance my technical and scientific skills, with the hope that one day I may reach the same level of knowledge, eloquence, and elegance that you've demonstrated in your feedback.

[INCT SANI @inctSANI]

O Rethinking the Future mal acabou e a equipe do INCT-SANI já se reuniu hoje em Brasília para uma oficina de tDCS, integrando ao menos 4 grupos da nossa rede de pesquisadores.

A partir de amanhã, o grupo sa amplia para a 53ª Reunião Anual da SBP. 🧠

[Mateus Silvestrin @MateusPsi]

Come work with us!

[INCT SANI @inctSANI]

📢 Postdoc Fellowships Open!

We're on the hunt for innovative minds to join us in Sao Paulo & Brasilia for 4 projects about 1) cooperation, 2) moral and political psychology, 3) mental health, and 4) ideology, polarization, and conspiracy beliefs.

1/3
https://t.co/Yy8NjdCDwI

[Mateus Silvestrin @MateusPsi]

Got me curious! True or not, surely an important theoretical exercise.

[Selçuk Korkmaz @selcukorkmaz]

Lesser Known, Yet Highly Important Distributions in Statistics 📊✨

1/ Intro to Under-the-Radar Distributions 🌌
Beyond the usual suspects like Normal and Binomial, there's a world of fascinating distributions pivotal in various scenarios. Let’s uncover these hidden gems!

2/ Beta Distribution 🅱️
Used for variables between 0 and 1, like probabilities.
Very flexible, can shape-shift based on its parameters, α (alpha) and β (beta).
A staple in Bayesian analysis & modeling random behavior over a bounded region.

3/ Gamma Distribution 🌀
A versatile two-parameter family.
Finds its use in queuing models & insurance risk.
When the shape equals 1, it transforms into Exponential!
It's defined by its shape and scale parameters.

4/ Weibull Distribution ⏳
A key player in reliability analysis & survival studies.
Can model various hazard functions.
Distinguished by its shape and scale parameters.

5/ Log-Normal Distribution 🔗
For non-negative data with logarithms that are normally distributed.
Perfect for stock prices, real estate modeling, etc.
It’s skewed, but its logarithm is symmetric - hence the name.

6/ Dirichlet Distribution 🌐
A broader perspective of the Beta distribution.
Pivotal in Bayesian statistics and shines especially in topic modeling like LDA.

7/ Negative Binomial Distribution 📉
Counts successes in Bernoulli trials before a set number of failures.
Valuable when variance surpasses the mean.
A generalization of the geometric distribution.

8/ Cauchy Distribution ☯️
Also known as the Lorentz distribution.
Fun fact: both its mean and variance remain undefined!
Makes appearances in light transmission and resonance problems.

9/ Multinomial Distribution 🎲
An expansive version of the Binomial; it deals with outcomes exceeding two.
Imagine rolling a die: six possible outcomes await.
Describes probabilities for each outcome over n trials.

10/ T-Student Distribution 🎓
Often overshadowed by the Normal distribution, but equally potent.
A go-to when the sample size is small & population variance is a mystery.
More resistant to outliers than its normal counterpart.

11/ Pareto Distribution 🚀
Born from the study of wealth distribution.
Cited in the "80-20" rule: 80% of effects arise from 20% of causes.
Its heavy tail finds applications in finance, insurance, and web analytics.

12/ The Value of Diverse Distributions 🌈
Each distribution is cut out for specific scenarios.
Broadening your distribution knowledge means better model fits, precise analyses, and rich insights.

Conclusion: The statistical cosmos is grand. Every distribution is a tale, an insight, a pattern. Dive deep, stay curious, and enrich your analytical narratives! ✨📊📚

Stay curious, and keep exploring the myriad patterns & tales that statistics narrate! ✨📊📚

#DataScience #Statistics

[Mateus Silvestrin @MateusPsi]

Oportunidade ver pesquisadores de neurociência e psicologia social incríveis!
We are so excited to listen to so many amazing researchers in social sciences!
@inctSANI
https://t.co/9gYPyY2FUD

[Bevil Conway @BevilConway]

As an aspiring brain scientist, my project was to discover the brain implementation of Opponent Colors Theory, the accepted explanation of color appearance. It took 20 yrs of trying (& failing) to find the corresponding neurophysiology, to realize the theory is wrong #color 1/8

[Mateus Silvestrin @MateusPsi]

Installing package in 3...2...1...

[Fabio Crameri @fcrameri]

Scientific colour maps 8.0

https://t.co/ePG4rAY1tK

#useBatlow
#ScientificVisualisation #visualisation #Science #ColourPalette #DataVis #GraphicDesign
#OpenSource #Accessibility #Colour #AcademicCommunityContribution #ACC
1/n

[Fernanda (Dantas) Bueno Recio @NandaBuenoRecio]

🤔🕓🧠Do neural electrophysiological signals differ when encoding durations for discrimination and reproduction? Happy to announce our new preprint, together with @TimingUFABC and @KiaNobre https://t.co/f8UW5lDKZ4

[Mateus Silvestrin @MateusPsi]

O @inctsani precisa de vc, gamer!

[Kou Murayama @KouMurayama]

Please RT!! We will hold a free online interdisciplinary workshop on #MachineLearning and theory development on July 10-12 (three half days), with excellent speakers from psychology, neuroscience, sociology, cognitive science etc. Please register here.

https://t.co/sjCo1z89KC

[Kareem Carr, Ph.D. @kareem_carr]

I know a lot of you wanted a technical breakdown of this meme so here it is!

I don't think you will find this level of detail anywhere else so keep reading if you don't want to miss out.

[Manos Tsakiris @manos_tsakiris]

Murakami in 'Kafka on the Shore' wrote “time expands, then contracts, all in tune with the stirring of the heart”. Just out, with @irena_arslanova & @vasiliskotsaris we show how perceived time expands & contracts within each heartbeat @CurrentBiology https://t.co/PtUXJXJ4sE