iiinova — where your digital self keeps evolving

Tal Golan @talgolanneuro.bsky.social · 28/08/2026

How can we design experiments that make computational models disagree? One section of our new @natrevneuro.nature.com Review with @kriegeskorte.bsky.social and @heikoschuett.bsky.social examines studies that used stimulus sets designed to elicit distinct predictions from competing models. 1/16

114156

Tal Golan @talgolanneuro.bsky.social · 10/07/2026

I find agentic coding a powerful amplifier for teaching. This term, I taught with @simonprinceai.bsky.social 's excellent book, Understanding Deep Learning. The book's interactive figures are brilliant, but some students struggle to decipher surfaces presented top-down as 2D heat maps. 1/5

141

Reposted by Tal Golan

Tim Kietzmann @timkietzmann.bsky.social · 06/05/2026

Happy to announce the 3rd iteration of NEAT (Neuro-AI-Talks), which will take place in Osnabrück September 14th-15th 2026. NEAT is a (deliberately small scale) NeuroAI workshop that brings together researchers from neuroscience and AI. www.kietzmannlab.org/neat2026/ More information below 👇

kietzmannlab.org

NEAT 2026

24424

Tal Golan @talgolanneuro.bsky.social · 29/01/2026

Israeli STEM postdocs abroad, have a look at this fellowship: www.gov.il/he/pages/rfp... 24 months x 13,500 NIS, Deadline: March 24, 2026 If you are working at the intersection of deep learning and cognitive (neuro)science, I'd be happy to host.

gov.il

010

Reposted by Tal Golan

CogCompNeuro @cogcompneuro.bsky.social · 03/12/2025

We are excited to announce that the Cognitive Computational Neuroscience meeting (CCN 2026) will be held at New York University from August 3–6, 2026. 2026.ccneuro.org

17428

Tal Golan @talgolanneuro.bsky.social · 20/11/2025

Proud to share our lab’s first paper! Itamar’s work highlights an implicit but impactful tension between maximizing fit to behavioral data and staying sensitive to meaningful differences between neural network models.

071

Reposted by Tal Golan

Jörn Diedrichsen @diedrichsenjorn.bsky.social · 10/09/2025

Variance partitioning is used to quantify the overlap of two models. Over the years, I have found that this can be a very confusing and misleading concept. So we finally we decided to write a short blog to explain why. @martinhebart.bsky.social @gallantlab.org diedrichsenlab.org/BrainDataSci...

26622

Tal Golan @talgolanneuro.bsky.social · 14/09/2025

We’re hiring in my dept. (IEM @ Ben-Gurion Univ.)! Tenure-track faculty opening in Robotics, Data/ML, Info Systems, Applied Stats, Production Systems, or Human Factors. www.bgu.ac.il/media/wwfbuc... Please repost 🙏

021

Reposted by Tal Golan

Dirk Bernhardt-Walther @dirkbwalther.bsky.social · 09/01/2024

Shape-Based Measures Improve Scene Categorization by DNNs. Morteza Rezanejad's magnus opus finally out in IEEE PAMI. doi.org/10.1109/TPAM... A super productive and fun collaboration with John Wilder, Allan D. Jepson, Sven Dickinson, and Kaleem Siddiqi. Read on for a quick summary.

An illustration of our approach using an example from a database of line drawings of natural scenes. In this pipeline, we first extract line drawings of the input image, then its Medial Axis Transform (MAT) is computed and then the skeletal points on the MAT are scored based upon one of our importance score measures. Finally, they are projected back onto the contours. The figure on the top left shows an example scene used in our pipeline, and the figure below presents the jet colormap visualization of its contours using our medial axis-based contour importance measures.

324