Matteo Fraschini

Computational notebooks Better Code, Better Science: Chapter 6, Part 4

Computational notebooks - the first in a set of posts on this topic. russpoldrack.substack.com/p/computatio...

Ya don't say 🫩

ChatGPT violated copyright law by ‘learning’ from song lyrics, German court rules OpenAI ordered to pay undisclosed damages for training its language models on artists’ work without permission

We didn't plagiarize, you made us plagiarize by asking questions to which we stole the answers.

"Because its output is generated by users of the chatbot via their prompts, OpenAI said, they were the ones who should be held legally liable for it – an argument rejected by the court."

Using containers for reproducible computing Better Code, Better Science: Chapter 6, Part 2

Using containers for reproducible computing russpoldrack.substack.com/p/using-cont... - the latest in my Better Code, Better Science series

Has anyone commented / will comment about this?
transformer-circuits.pub/2025/introsp...

Largest study of its kind shows AI assistants misrepresent news content 45% of the time – regardless of language or territory An intensive international study was coordinated by the European Broadcasting Union (EBU) and led by the BBC

Yet again, we can't afford to let LLMs become a source of epistemic grounding for society.

Assessing metadata privacy in neuroimaging The ethical and legal imperative to share research data without causing harm requires careful attention to privacy risks. While mounting evidence demonstrates that data sharing benefits science, legit...

arxiv.org/abs/2509.15278 check that your metadata are 'private' i.e. that they do not leak personal information -- BIDSapp available 😀

Benchmarking methods for mapping functional connectivity in the brain | doi.org/10.1038/s415...

What is the best measure of functional connectivity (FC)?

led by @zhenqi.bsky.social in @natmethods.nature.com ⤵️

Essential tools for writing better code: Managing environments Better Code, Better Science: Chapter 2, Part 3

Managing virtual environments: uv vs. conda - the latest in the Better Code, Better Science series russpoldrack.substack.com/p/essential-...

A needed review on the topic!
May I suggest that the first work using functional brain connectivity for person identification is 2014 and not 2015.
I m sure expliciting this would make such a great service to the community.

Distinguishing one person from another (what biometricians call recognition) is extremely relevant for different aspects of life. Traditional biometric modalities (fingerprint, face, iris, voice) rely on unique, stable features that reliably differentiate individuals. Recently, the term fingerprinting has gained popularity in neuroscience, with a growing number of studies adopting the term to describe various brain based metrics derived from different techniques. However, we think there is a mismatch between its widely accepted meaning in the biometric community and some brain based metrics. Many of these measures do not satisfy the strict definition of a biometric fingerprint that is, a stable trait that uniquely identifies an individual. In this study we discuss some issues that may generate confusion in this context and suggest how to treat the question in the future. In particular, we review how fingerprint is currently used in the neuroscience literature, highlight mismatches with the biometric community definition, and offer clear guidelines for distinguishing genuine biometric fingerprints from exploratory similarity metrics. By clarifying terminology and criteria, we aim to align practices and facilitate communication across fields.

Connectome brain fingerprinting: terminology, measures, and target properties

arxiv.org/abs/2506.05769