Skip To Main Content
Luca Baroni on Muck Rack

Luca Baroni

As seen in: Nature, BioRxiv, Cell Press, JNeurosci, Dialnet - Universidad de La Rioja
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Luca

Contact Luca, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Computer Science > Computation and Language

|
By Mohammed Abu, Luca Baroni, Dan Wilhelm
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (664) Issue with article?

Statistics of natural scenes shape contextual modulation in the visual cortex

|
By Jiakun Fu, Suhas Shrinivasan, Luca Baroni, Zhuokun Ding, Paul G. Fahey, Paweł A. Pierzchlewicz, Kayla Ponder, Rachel Froebe, Lydia Ntanavara, Taliah Muhammad, Konstantin F. Willeke, Eric Wang, Zhiwei Ding, Dat Tran, Stelios Papadopoulos, Saumil S. Patel, Jacob Reimer, Alexander S. Ecker, Xaq Pitkow, Ján Antolík, Fabian Sinz, Ralf M. Haefner, Andreas S. Tolias, Katrin Franke, Nikos Karantzas
| Cell Press Verified
Keywords contextual modulation primary visual cortex V1 natural image statistics center-surround interactions convolutional neural networks Bayesian inference visual perception mouse macaque Introduction Sensory processing is context dependent across species, enabling flexible behavior in changing environments.
Open in Who Shared Issue with article?

Functional bipartite invariance in mouse primary visual cortex receptive fields

|
By Zhiwei Ding, Dat Tran, Kayla Ponder, Zhuokun Ding, Rachel Froebe, Lydia Ntanavara, Paul G. Fahey, Erick Cobos, Luca Baroni, Maria Diamantaki, Eric Wang, Andersen Chang, Stelios Papadopoulos, Jiakun Fu, Taliah Muhammad, Christos Papadopoulos, Santiago Cadena, Alexandros Evangelou, Konstantin F. Willeke, Fabio Anselmi, Sophia Sanborn, Ján Antolík, Emmanouil Froudarakis, Saumil S. Patel, Edgar Walker, Jacob Reimer, Fabian Sinz, Alexander S. Ecker, Katrin Franke, Xaq Pitkow, Andreas S. Tolias
| Nature Verified
Abstract Sensory systems support generalization by representing features that persist under input variation; however, identifying the neuronal basis of these invariances remains difficult due to high-dimensional and nonlinear neural computations. Here we leverage the inception loop paradigm, iterating between large-scale recordings, predictive models and in silico experiments with in vivo verification, to characterize neuronal invariances in mouse primary visual cortex (V1).
Open in Who Shared Issue with article?
See all 10 articles