Lattice physics approaches for neural networks

G Bardella, S Franchini, P Pani, S Ferraina - Iscience, 2024 - cell.com
Modern neuroscience has evolved into a frontier field that draws on numerous disciplines,
resulting in the flourishing of novel conceptual frames primarily inspired by physics and …

[HTML][HTML] Neural activity in quarks language: Lattice Field Theory for a network of real neurons

G Bardella, S Franchini, L Pan, R Balzan, S Ramawat… - Entropy, 2024 - mdpi.com
Brain–computer interfaces have seen extraordinary surges in developments in recent years,
and a significant discrepancy now exists between the abundance of available data and the …

Spatio-temporal transformers for decoding neural movement control

B Candelori, G Bardella, I Spinelli… - Journal of Neural …, 2024 - iopscience.iop.org
Objective: Deep learning tools applied to high-resolution neurophysiological data have
significantly progressed, offering enhanced decoding, real-time processing, and readability …

Learning and Controlling Multiscale Dynamics in Spiking Neural Networks Using Recursive Least Square Modifications

Q Wei, L Han, T Zhang - IEEE Transactions on Cybernetics, 2024 - ieeexplore.ieee.org
Invasive brain-computer interfaces (BCIs) have the capability to simultaneously record
discrete signals across multiple scales, but how to effectively process and analyze these …

[HTML][HTML] Characterization of Neural Network Connectivity and Modularity of Pigeon Nidopallium Caudolaterale During Target Detection

Z Wang, H Wang, J Zhu, D Zhao, R Wang, Z Ma… - Animals, 2025 - mdpi.com
Accurate target detection in natural environments is an important function of the visual
systems of vertebrates and has a direct impact on animal survival and environmental …