Federico D’Agostino
@fededagos.bsky.social
PhD student @ Uni Tübingen | @bethgelab.bsky.social | Computational Neuroscience & ML
Reposted by Federico D’Agostino
We’re excited to share ALL-GCL: a large-scale dataset of 2P Ca²⁺ imaging from 80,000+ cells in the mouse retinal ganglion cell layer, collected over 9 years. Includes rich metadata, shared stimuli & cell-type assignments designed for type-specific analyses, modeling, and ML.
📄: tinyurl.com/ymn53frf
📄: tinyurl.com/ymn53frf
A large-scale dataset of functional mouse ganglion cell layer responses
We present the All-GCL dataset, a large-scale resource of functional two-photon Ca2+-imaging recordings with rich meta-data information from more than 80,000 cells in the ganglion cell layer (GCL) of ...
tinyurl.com
December 17, 2025 at 11:14 AM
We’re excited to share ALL-GCL: a large-scale dataset of 2P Ca²⁺ imaging from 80,000+ cells in the mouse retinal ganglion cell layer, collected over 9 years. Includes rich metadata, shared stimuli & cell-type assignments designed for type-specific analyses, modeling, and ML.
📄: tinyurl.com/ymn53frf
📄: tinyurl.com/ymn53frf
🚨 New paper at #NeurIPS2025!
A systematic fixation-level comparison of a performance-optimized DNN scanpath model and a mechanistic cognitive model reveals behaviourally relevant mechanisms that can be added to the mechanistic model to substantially improve performance.
🧵👇
A systematic fixation-level comparison of a performance-optimized DNN scanpath model and a mechanistic cognitive model reveals behaviourally relevant mechanisms that can be added to the mechanistic model to substantially improve performance.
🧵👇
November 30, 2025 at 9:24 PM
🚨 New paper at #NeurIPS2025!
A systematic fixation-level comparison of a performance-optimized DNN scanpath model and a mechanistic cognitive model reveals behaviourally relevant mechanisms that can be added to the mechanistic model to substantially improve performance.
🧵👇
A systematic fixation-level comparison of a performance-optimized DNN scanpath model and a mechanistic cognitive model reveals behaviourally relevant mechanisms that can be added to the mechanistic model to substantially improve performance.
🧵👇
🚨 New paper alert! 🚨
We’ve just launched openretina, an open-source framework for collaborative retina modeling across datasets and species.
A 🧵👇 (1/9)
We’ve just launched openretina, an open-source framework for collaborative retina modeling across datasets and species.
A 🧵👇 (1/9)
March 14, 2025 at 9:41 AM
🚨 New paper alert! 🚨
We’ve just launched openretina, an open-source framework for collaborative retina modeling across datasets and species.
A 🧵👇 (1/9)
We’ve just launched openretina, an open-source framework for collaborative retina modeling across datasets and species.
A 🧵👇 (1/9)
Incredibly honoured to have been a part of this!
I am very proud to announce that my PhD paper finally came out in Cell! In this *very* collaborative study, we develop and release a deep-learning approach to predict neuron type identity from their electrical signature. doi.org/10.1016/j.ce... 1/16 🧵
March 1, 2025 at 1:32 PM
Incredibly honoured to have been a part of this!