153 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of PaduaIT4 papers
- Consorzio Nazionale Interuniversitario per le TelecomunicazioniIT3 papers
- Tokai UniversityJP2 papers
- Tokyo Metropolitan Institute of Medical ScienceJP2 papers
- Tokyo Metropolitan Matsuzawa HospitalJP2 papers
- Argonne National LaboratoryUS1 paper
- BioTechMed-GrazAT1 paper
- Donders Institute for Brain, Cognition and BehaviourNL1 paper
- Graz University of TechnologyAT1 paper
- High Energy Accelerator Research OrganizationJP1 paper
- Japan Synchrotron Radiation Research InstituteJP1 paper
- National Institute of Mental HealthUS1 paper
7 papers
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs
Rino Saiga, Kaede Shiga, Yo Maruta +19
Mouse and human brains have different functions that depend on their neuronal networks. In this study, we analyzed nanometer-scale three-dimensional structures of brain tissues of…
Deep learning-based classification of fine hand movements from low frequency EEG
Giulia Bressan, Selina C. Wriessnegger, Giulia Cisotto
The classification of different fine hand movements from EEG signals represents a relevant research challenge, e.g., in brain-computer interface applications for motor rehabilitati…
REPAC: Reliable estimation of phase-amplitude coupling in brain networks
Giulia Cisotto
Recent evidence has revealed cross-frequency coupling and, particularly, phase-amplitude coupling (PAC) as an important strategy for the brain to accomplish a variety of high-level…
Cascaded WLAN-FWA Networking and Computing Architecture for Pervasive In-Home Healthcare
Sergio Martiradonna, Giulia Cisotto, Gennaro Boggia +3
Pervasive healthcare is a promising assisted-living solution for chronic patients. However, current cutting-edge communication technologies are not able to strictly meet the requir…
Schizophrenia-mimicking layers outperform conventional neural network layers
Ryuta Mizutani, Senta Noguchi, Rino Saiga +4
We have reported nanometer-scale three-dimensional studies of brain networks of schizophrenia cases and found that their neurites are thin and tortuous compared to healthy controls…
Deep Learning Techniques for Improving Digital Gait Segmentation
Matteo Gadaleta, Giulia Cisotto, Michele Rossi +3
Wearable technology for the automatic detection of gait events has recently gained growing interest, enabling advanced analyses that were previously limited to specialist centres a…
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
Pablo Lanillos, Daniel Oliva, Anja Philippsen +3
This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures…