Giuseppe Gallitto
@ggallitto.bsky.social
Medical Scientist at University Hospital Essen.
PhD student at Predictive Neuroscience Lab (PNI Lab), http://pni-lab.github.io
____
Neuroimaging 🧠
Human-Computer Interaction 🖥️
Artificial Intelligence 🦾
Open Science 🍃
PhD student at Predictive Neuroscience Lab (PNI Lab), http://pni-lab.github.io
____
Neuroimaging 🧠
Human-Computer Interaction 🖥️
Artificial Intelligence 🦾
Open Science 🍃
Reposted by Giuseppe Gallitto
Ig Nobel Euro Show 2026
Save the date! April, 17th 2026, 7 pm +++ Further details follow soon
Marc Abrahams and a line-up of Ig Nobel prize winners will present their research at the University of Duisburg-Essen (@unidue.bsky.social) in Essen, Germany, free admission
special guest: Minkorrekt!
Save the date! April, 17th 2026, 7 pm +++ Further details follow soon
Marc Abrahams and a line-up of Ig Nobel prize winners will present their research at the University of Duisburg-Essen (@unidue.bsky.social) in Essen, Germany, free admission
special guest: Minkorrekt!
December 19, 2025 at 9:43 AM
Ig Nobel Euro Show 2026
Save the date! April, 17th 2026, 7 pm +++ Further details follow soon
Marc Abrahams and a line-up of Ig Nobel prize winners will present their research at the University of Duisburg-Essen (@unidue.bsky.social) in Essen, Germany, free admission
special guest: Minkorrekt!
Save the date! April, 17th 2026, 7 pm +++ Further details follow soon
Marc Abrahams and a line-up of Ig Nobel prize winners will present their research at the University of Duisburg-Essen (@unidue.bsky.social) in Essen, Germany, free admission
special guest: Minkorrekt!
Reposted by Giuseppe Gallitto
A new study co-authored by SFI’s Mark Newman and Max Jerdee shows that a widely used metric for evaluating algorithms (NMI) can produce biased results, impacting scientific conclusions.
To address this, the authors developed an asymmetric, reduced version of the mutual information metric.
To address this, the authors developed an asymmetric, reduced version of the mutual information metric.
Researchers reveal bias in a widely used measure of algorithm performance
When scientists test algorithms that sort or classify data they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm’s output matches reality. Bu...
www.santafe.edu
December 15, 2025 at 8:51 PM
A new study co-authored by SFI’s Mark Newman and Max Jerdee shows that a widely used metric for evaluating algorithms (NMI) can produce biased results, impacting scientific conclusions.
To address this, the authors developed an asymmetric, reduced version of the mutual information metric.
To address this, the authors developed an asymmetric, reduced version of the mutual information metric.
Reposted by Giuseppe Gallitto
What a week!
Congrats to the whole SFB1280 team, especially our speakers Onur Güntürkün and Dagmar Timmann. Also huge thanks to Sigrid Elsenbruch who led „team translation“. Of course I am convinced that this was crucially important to secure the 3rd funding period.
Congrats to the whole SFB1280 team, especially our speakers Onur Güntürkün and Dagmar Timmann. Also huge thanks to Sigrid Elsenbruch who led „team translation“. Of course I am convinced that this was crucially important to secure the 3rd funding period.
To end this wonderful retreat week, we just got the news that the CRC 1280 "Extinction Learning" just got renewed for a third funding period! 🥳
Huge congrats to the whole team, especially to some of our involved CRC members! 👏
@ulrikebingel.bsky.social
Huge congrats to the whole team, especially to some of our involved CRC members! 👏
@ulrikebingel.bsky.social
November 21, 2025 at 5:20 PM
What a week!
Congrats to the whole SFB1280 team, especially our speakers Onur Güntürkün and Dagmar Timmann. Also huge thanks to Sigrid Elsenbruch who led „team translation“. Of course I am convinced that this was crucially important to secure the 3rd funding period.
Congrats to the whole SFB1280 team, especially our speakers Onur Güntürkün and Dagmar Timmann. Also huge thanks to Sigrid Elsenbruch who led „team translation“. Of course I am convinced that this was crucially important to secure the 3rd funding period.
Reposted by Giuseppe Gallitto
Electromagnetic waves enable low-energy, parallel computation. Your brain has them. If humans can figure this out, 4 billion years of evolution could too.
Programmable wave-based analog computing machine: a metastructure that designs metastructures
www.nature.com/articles/s41...
#neuroscience
Programmable wave-based analog computing machine: a metastructure that designs metastructures
www.nature.com/articles/s41...
#neuroscience
Programmable wave-based analog computing machine: a metastructure that designs metastructures - Nature Communications
This study introduces and validates a reconfigurable metastructure that uses electromagnetic waves to perform analog complex-valued mathematical computations. This device executes both stationary and ...
www.nature.com
August 13, 2025 at 4:01 PM
Electromagnetic waves enable low-energy, parallel computation. Your brain has them. If humans can figure this out, 4 billion years of evolution could too.
Programmable wave-based analog computing machine: a metastructure that designs metastructures
www.nature.com/articles/s41...
#neuroscience
Programmable wave-based analog computing machine: a metastructure that designs metastructures
www.nature.com/articles/s41...
#neuroscience
Reposted by Giuseppe Gallitto
We now have a CRC-specific starter pack! ✨
Let me know if you are a member and would like to be added! ⤵️
Let me know if you are a member and would like to be added! ⤵️
June 15, 2025 at 8:10 AM
We now have a CRC-specific starter pack! ✨
Let me know if you are a member and would like to be added! ⤵️
Let me know if you are a member and would like to be added! ⤵️
Reposted by Giuseppe Gallitto
The first computational neuroscience of pain conference is coming to Aarhus! Sign up now. Awesome line up. @francescafardo.bsky.social @torwager.bsky.social @christianbuchel.bsky.social and more!
August 13, 2025 at 9:18 AM
The first computational neuroscience of pain conference is coming to Aarhus! Sign up now. Awesome line up. @francescafardo.bsky.social @torwager.bsky.social @christianbuchel.bsky.social and more!
Reposted by Giuseppe Gallitto
38M! 🎉
August 5, 2025 at 7:53 PM
38M! 🎉
Reposted by Giuseppe Gallitto
Join us at #NeurIPS2025 for our Data on the Brain & Mind workshop! We aim to connect machine learning researchers and neuroscientists/cognitive scientists, with a focus on emerging datasets.
More info: data-brain-mind.github.io
More info: data-brain-mind.github.io
🚨 Excited to announce our #NeurIPS2025 Workshop: Data on the Brain & Mind
📣 Call for: Findings (4- or 8-page) + Tutorials tracks
🎙️ Speakers include @dyamins.bsky.social @lauragwilliams.bsky.social @cpehlevan.bsky.social
🌐 Learn more: data-brain-mind.github.io
📣 Call for: Findings (4- or 8-page) + Tutorials tracks
🎙️ Speakers include @dyamins.bsky.social @lauragwilliams.bsky.social @cpehlevan.bsky.social
🌐 Learn more: data-brain-mind.github.io
August 5, 2025 at 12:21 AM
Join us at #NeurIPS2025 for our Data on the Brain & Mind workshop! We aim to connect machine learning researchers and neuroscientists/cognitive scientists, with a focus on emerging datasets.
More info: data-brain-mind.github.io
More info: data-brain-mind.github.io
Reposted by Giuseppe Gallitto
Neural models for detection and classification of brain states and transitions
www.nature.com/articles/s42...
#neuroscience
www.nature.com/articles/s42...
#neuroscience
Neural models for detection and classification of brain states and transitions - Communications Biology
A deep learning self-supervised hybrid CNN-autoencoder model is used to detect brain states and transitions, like wakefulness, slow oscillations and microarousals, during the emergence from anesthesia...
www.nature.com
July 21, 2025 at 7:27 PM
Neural models for detection and classification of brain states and transitions
www.nature.com/articles/s42...
#neuroscience
www.nature.com/articles/s42...
#neuroscience
Reposted by Giuseppe Gallitto
🚨 New paper out in GigaScience!
To avoid common pitfalls in multivariate modeling: combine external validation with pre-registration — freeze your model before testing.
For the pros: decide on the fly when to stop training!
First-authored by the brilliant @ggallitto.bsky.social
To avoid common pitfalls in multivariate modeling: combine external validation with pre-registration — freeze your model before testing.
For the pros: decide on the fly when to stop training!
First-authored by the brilliant @ggallitto.bsky.social
A new approach for transparent reporting of prospective predictive modeling studies involving preregistration of machine learning models.
External validation of machine learning models—registered models and adaptive sample splitting doi.org/10.1093/giga...
External validation of machine learning models—registered models and adaptive sample splitting doi.org/10.1093/giga...
External validation of machine learning models—registered models and adaptive sample splitting
AbstractBackground. Multivariate predictive models play a crucial role in enhancing our understanding of complex biological systems and in developing innov
doi.org
May 28, 2025 at 8:44 PM
🚨 New paper out in GigaScience!
To avoid common pitfalls in multivariate modeling: combine external validation with pre-registration — freeze your model before testing.
For the pros: decide on the fly when to stop training!
First-authored by the brilliant @ggallitto.bsky.social
To avoid common pitfalls in multivariate modeling: combine external validation with pre-registration — freeze your model before testing.
For the pros: decide on the fly when to stop training!
First-authored by the brilliant @ggallitto.bsky.social
Reposted by Giuseppe Gallitto
➡️New paper out with ELH members Balint Kincses and Ulrike Bingel: "External validation of machine learning models-registered models and adaptive sample splitting". 🍾
pubmed.ncbi.nlm.nih.gov/40366867/
pubmed.ncbi.nlm.nih.gov/40366867/
May 16, 2025 at 6:41 AM
➡️New paper out with ELH members Balint Kincses and Ulrike Bingel: "External validation of machine learning models-registered models and adaptive sample splitting". 🍾
pubmed.ncbi.nlm.nih.gov/40366867/
pubmed.ncbi.nlm.nih.gov/40366867/
Our new manuscript discussing pre-registration of predictive modelling studies and the importance of external validations is out now, published in GigaScience.
Give a look at it here:
doi.org/10.1093/giga...
#machinelearning #neuroscience #neuroimaging #bioinformatics
Give a look at it here:
doi.org/10.1093/giga...
#machinelearning #neuroscience #neuroimaging #bioinformatics
External validation of machine learning models—registered models and adaptive sample splitting
doi.org
May 15, 2025 at 7:43 AM
Our new manuscript discussing pre-registration of predictive modelling studies and the importance of external validations is out now, published in GigaScience.
Give a look at it here:
doi.org/10.1093/giga...
#machinelearning #neuroscience #neuroimaging #bioinformatics
Give a look at it here:
doi.org/10.1093/giga...
#machinelearning #neuroscience #neuroimaging #bioinformatics
Reposted by Giuseppe Gallitto
❄️ The Christmas release is here! ❄️
Introducing scikit-learn 1.6 with:
🟢 2 major features & 34 improvements
🔵 5 efficiency boosts & 21 enhancements
🟡 14 API changes
🔴 30 fixes
👥 160 amazing contributors
youtu.be/7wiHChpwJe8
Introducing scikit-learn 1.6 with:
🟢 2 major features & 34 improvements
🔵 5 efficiency boosts & 21 enhancements
🟡 14 API changes
🔴 30 fixes
👥 160 amazing contributors
youtu.be/7wiHChpwJe8
scikit-learn Version 1.6.0 Release Highlights
YouTube video by scikit-learn
youtu.be
December 20, 2024 at 9:44 AM
❄️ The Christmas release is here! ❄️
Introducing scikit-learn 1.6 with:
🟢 2 major features & 34 improvements
🔵 5 efficiency boosts & 21 enhancements
🟡 14 API changes
🔴 30 fixes
👥 160 amazing contributors
youtu.be/7wiHChpwJe8
Introducing scikit-learn 1.6 with:
🟢 2 major features & 34 improvements
🔵 5 efficiency boosts & 21 enhancements
🟡 14 API changes
🔴 30 fixes
👥 160 amazing contributors
youtu.be/7wiHChpwJe8
Reposted by Giuseppe Gallitto
OHBM has confirmed that Dec 17 is a hard deadline for abstracts.
December 12, 2024 at 10:54 PM
OHBM has confirmed that Dec 17 is a hard deadline for abstracts.
Reposted by Giuseppe Gallitto
Please help us test the first release candidate for scikit-learn 1.6: pip install scikit-learn==1.6.0rc1
Changelog: scikit-learn.org/1.6/whats_ne...
In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.
Changelog: scikit-learn.org/1.6/whats_ne...
In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.
Version 1.6
Legend for changelogs something big that you couldn’t do before., something that you couldn’t do before., an existing feature now may not require as much computation or memory., a miscellaneous min...
scikit-learn.org
November 22, 2024 at 2:49 PM
Please help us test the first release candidate for scikit-learn 1.6: pip install scikit-learn==1.6.0rc1
Changelog: scikit-learn.org/1.6/whats_ne...
In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.
Changelog: scikit-learn.org/1.6/whats_ne...
In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.
Reposted by Giuseppe Gallitto
We are proud of this piece related to our science communication project! 🤩
We present a teaching and learning concept addressing placebo and nocebo effects in competency-based communication training👩⚕️
The paper: pubmed.ncbi.nlm.nih.gov/39415814/
The project: treatment-expectation.de/projekte-peo...
We present a teaching and learning concept addressing placebo and nocebo effects in competency-based communication training👩⚕️
The paper: pubmed.ncbi.nlm.nih.gov/39415814/
The project: treatment-expectation.de/projekte-peo...
November 29, 2024 at 1:03 PM
We are proud of this piece related to our science communication project! 🤩
We present a teaching and learning concept addressing placebo and nocebo effects in competency-based communication training👩⚕️
The paper: pubmed.ncbi.nlm.nih.gov/39415814/
The project: treatment-expectation.de/projekte-peo...
We present a teaching and learning concept addressing placebo and nocebo effects in competency-based communication training👩⚕️
The paper: pubmed.ncbi.nlm.nih.gov/39415814/
The project: treatment-expectation.de/projekte-peo...
Reposted by Giuseppe Gallitto
To find all Starter Packs go here:
blueskydirectory.com/starter-pack...
blueskydirectory.com/starter-pack...
All - Bluesky Directory
A curated collection of all things relating to the Blue Sky social media platform.
blueskydirectory.com
November 17, 2024 at 11:14 PM
To find all Starter Packs go here:
blueskydirectory.com/starter-pack...
blueskydirectory.com/starter-pack...
Reposted by Giuseppe Gallitto
Are you a neuroscientist interested in sustainability, but don't know who to follow? 🤔
You're in luck! Here's a starter pack of neuroscientists who post about climate, and researchers who work in the intersection of neuro/psych and climate change!
🌱Msg if you want to be added!
go.bsky.app/E1iW12T
You're in luck! Here's a starter pack of neuroscientists who post about climate, and researchers who work in the intersection of neuro/psych and climate change!
🌱Msg if you want to be added!
go.bsky.app/E1iW12T
November 26, 2024 at 4:39 PM
Are you a neuroscientist interested in sustainability, but don't know who to follow? 🤔
You're in luck! Here's a starter pack of neuroscientists who post about climate, and researchers who work in the intersection of neuro/psych and climate change!
🌱Msg if you want to be added!
go.bsky.app/E1iW12T
You're in luck! Here's a starter pack of neuroscientists who post about climate, and researchers who work in the intersection of neuro/psych and climate change!
🌱Msg if you want to be added!
go.bsky.app/E1iW12T
Reposted by Giuseppe Gallitto
Welcome @nilearn.bsky.social to Bluesky! Nilearn is an amazing package for neuroimaging analysis in Python - certainly one of the most heavily used packages in our lab.
November 27, 2024 at 3:19 PM
Welcome @nilearn.bsky.social to Bluesky! Nilearn is an amazing package for neuroimaging analysis in Python - certainly one of the most heavily used packages in our lab.
Reposted by Giuseppe Gallitto
A starter pack of layer-fMRI folks here: go.bsky.app/TUWFNzg
November 27, 2024 at 3:02 PM
A starter pack of layer-fMRI folks here: go.bsky.app/TUWFNzg
Reposted by Giuseppe Gallitto
Made a new starter pack with folks who use brain-based predictive models in their analyses!
Let me know if you'd like to be added. 🧠🤖📋
go.bsky.app/BDv5bd3
Let me know if you'd like to be added. 🧠🤖📋
go.bsky.app/BDv5bd3
November 26, 2024 at 2:55 PM
Made a new starter pack with folks who use brain-based predictive models in their analyses!
Let me know if you'd like to be added. 🧠🤖📋
go.bsky.app/BDv5bd3
Let me know if you'd like to be added. 🧠🤖📋
go.bsky.app/BDv5bd3
Reposted by Giuseppe Gallitto
Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems - this looks like a fun paper by @trackingactions.bsky.social, related to a great talk she recently gave at Stanford. looking forward to reading it!
Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems
Biological intelligence is inherently adaptive -- animals continually adjust their actions based on environmental feedback. However, creating adaptive artificial intelligence (AI) remains a major chal...
arxiv.org
November 26, 2024 at 1:51 PM
Adaptive Intelligence: leveraging insights from adaptive behavior in animals to build flexible AI systems - this looks like a fun paper by @trackingactions.bsky.social, related to a great talk she recently gave at Stanford. looking forward to reading it!
Reposted by Giuseppe Gallitto
My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch.
fleuret.org/dlc/
And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)
fleuret.org/lbdl/
fleuret.org/dlc/
And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)
fleuret.org/lbdl/
November 26, 2024 at 6:15 AM
My deep learning course at the University of Geneva is available on-line. 1000+ slides, ~20h of screen-casts. Full of examples in PyTorch.
fleuret.org/dlc/
And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)
fleuret.org/lbdl/
fleuret.org/dlc/
And my "Little Book of Deep Learning" is available as a phone-formatted pdf (nearing 700k downloads!)
fleuret.org/lbdl/
Reposted by Giuseppe Gallitto
Scikit-learn is on bluesky 🧡💙
Please help us test the first release candidate for scikit-learn 1.6: pip install scikit-learn==1.6.0rc1
Changelog: scikit-learn.org/1.6/whats_ne...
In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.
Changelog: scikit-learn.org/1.6/whats_ne...
In particular, if you maintain a project with a dependency on
scikit-learn, please let us know about any regression.
Version 1.6
Legend for changelogs something big that you couldn’t do before., something that you couldn’t do before., an existing feature now may not require as much computation or memory., a miscellaneous min...
scikit-learn.org
November 22, 2024 at 4:53 PM
Scikit-learn is on bluesky 🧡💙
Reposted by Giuseppe Gallitto
For the Blueskyers interested in #NeuroAI 🧠🤖,
I created a starter pack! Please comment on this if you are not on the list and working in this field 🙂
go.bsky.app/CscFTAr
I created a starter pack! Please comment on this if you are not on the list and working in this field 🙂
go.bsky.app/CscFTAr
October 17, 2024 at 8:04 PM
For the Blueskyers interested in #NeuroAI 🧠🤖,
I created a starter pack! Please comment on this if you are not on the list and working in this field 🙂
go.bsky.app/CscFTAr
I created a starter pack! Please comment on this if you are not on the list and working in this field 🙂
go.bsky.app/CscFTAr