56 citations
- Italian Institute of TechnologyIT21 papers
- University of TrentoIT6 papers
- Harvard UniversityUS4 papers
- Imperial College LondonGB3 papers
- University of GlasgowGB3 papers
- University of TurinIT3 papers
- Institute for Complex SystemsIT2 papers
- Sapienza University of RomeIT2 papers
- Universitat Pompeu FabraES2 papers
- University of St AndrewsGB2 papers
- Berenson Allen Center for Noninvasive Brain StimulationUS1 paper
- Beth Israel Deaconess Medical CenterUS1 paper
12 papers · 1 filter
Geometric Hyperscanning of Affect under Active Inference
Nicolas Hinrichs, Mahault Albarracin, Dimitris Bolis +3
Second-person neuroscience holds social cognition as embodied meaning co-regulation through reciprocal interaction, modeled here as coupled active inference with affect emerging as…
TMS-EEG Reliability: Bridging the Gap to Clinical Use
Giacomo Bertazzoli, Carlo Miniussi, Petro Julkunen +1
Concurrent transcranial magnetic stimulation (TMS) and electroencephalography (EEG), or TMS-EEG, holds the potential to broaden the clinical applications of TMS beyond its traditio…
Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder
Diego Fasoli, Stefano Panzeri
We study the statistical properties of the stationary firing-rate states of a neural network model with quenched disorder. The model has arbitrary size, discrete-time evolution equ…
Analysis and Model of Cortical Slow Waves Acquired with Optical Techniques
Marco Celotto, Chiara De Luca, Paolo Muratore +5
Slow waves (SWs) are spatio-temporal patterns of cortical activity that occur both during natural sleep and anesthesia and are preserved across species. Even though electrophysiolo…
The identity of information: how deterministic dependencies constrain information synergy and redundancy
Daniel Chicharro, Giuseppe Pica, Stefano Panzeri
Understanding how different information sources together transmit information is crucial in many domains. For example, understanding the neural code requires characterizing how dif…
Optimized brute-force algorithms for the bifurcation analysis of a spin-glass-like neural network model
Diego Fasoli, Stefano Panzeri
Bifurcation theory is a powerful tool for studying how the dynamics of a neural network model depends on its underlying neurophysiological parameters. However, bifurcation theory h…