Matteo Mariani
@matteomariani.bsky.social
I am a postdoc in computational neuroscience, with my PhD in statistical physics.
I am into music and theater.
I am into music and theater.
Reposted by Matteo Mariani
Please RT - Open PhD position in my group at the Donders Center for Neuroscience, Radboud University.
We're looking for a PhD candidate interested in developing theories of learning in neural networks.
Applications are open until October 20th.
For more info: www.ru.nl/en/working-a...
We're looking for a PhD candidate interested in developing theories of learning in neural networks.
Applications are open until October 20th.
For more info: www.ru.nl/en/working-a...
PhD Position: Theory of Learning in Artificial and Biologically Inspired Neural Networks | Radboud University
Do you want to work as a PhD candidate Theory of Learning in Artificial and Biologically Inspired Neural Network? Check our vacancy!
www.ru.nl
September 22, 2025 at 5:17 PM
Please RT - Open PhD position in my group at the Donders Center for Neuroscience, Radboud University.
We're looking for a PhD candidate interested in developing theories of learning in neural networks.
Applications are open until October 20th.
For more info: www.ru.nl/en/working-a...
We're looking for a PhD candidate interested in developing theories of learning in neural networks.
Applications are open until October 20th.
For more info: www.ru.nl/en/working-a...
📣 We investigated a puzzling empirical result: adaptation induces a universal power law linking neural population responses and stimulus statistics. We explained the power law with an efficient coding model and interpreted its exponent as balancing energy saving and representation fidelity.
A universal power law optimizes energy and representation fidelity in visual adaptation
Sensory systems continuously adapt their responses based on the probability of encountering a given stimulus. In the mouse primary visual cortex (V1), the average population response is a power law of...
www.biorxiv.org
March 25, 2025 at 3:54 PM
📣 We investigated a puzzling empirical result: adaptation induces a universal power law linking neural population responses and stimulus statistics. We explained the power law with an efficient coding model and interpreted its exponent as balancing energy saving and representation fidelity.