Fabio Rizzoglio
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View article: A Generalist Intracortical Motor Decoder
A Generalist Intracortical Motor Decoder Open
Mapping the relationship between neural activity and motor behavior is a central aim of sensorimotor neuroscience and neurotechnology. While most progress to this end has relied on restricting complexity, the advent of foundation models in…
View article: Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface
Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface Open
Objective. Creating an intracortical brain computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to comp…
View article: Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark Open
Intracortical brain-computer interfaces (iBCIs) can restore movement and communication abilities to individuals with paralysis by decoding their intended behavior from neural activity recorded with an implanted device. While this activity …
View article: Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface
Unsupervised, piecewise linear decoding enables an accurate prediction of muscle activity in a multi-task brain computer interface Open
Objective Creating an intracortical brain-computer interface (iBCI) capable of seamless transitions between tasks and contexts would greatly enhance user experience. However, the nonlinearity in neural activity presents challenges to compu…
View article: An Evolution of Assistive Robot Control to Meet End-User Ability
An Evolution of Assistive Robot Control to Meet End-User Ability Open
In this work, we present an evolution of system designs and studies that aim to facilitate the operation of high-DoF assistive robotic arms by persons with upper limb paralysis. We highlight the experimental pipeline and note developments …
View article: From monkeys to humans: observation-based EMG brain–computer interface decoders for humans with paralysis
From monkeys to humans: observation-based EMG brain–computer interface decoders for humans with paralysis Open
Objective . Intracortical brain–computer interfaces (iBCIs) aim to enable individuals with paralysis to control the movement of virtual limbs and robotic arms. Because patients’ paralysis prevents training a direct neural activity to limb …
View article: Using adversarial networks to extend brain computer interface decoding accuracy over time
Using adversarial networks to extend brain computer interface decoding accuracy over time Open
Existing intracortical brain computer interfaces (iBCIs) transform neural activity into control signals capable of restoring movement to persons with paralysis. However, the accuracy of the ‘decoder’ at the heart of the iBCI typically degr…
View article: Autoencoder-based myoelectric controller for prosthetic hands
Autoencoder-based myoelectric controller for prosthetic hands Open
In the past, linear dimensionality-reduction techniques, such as Principal Component Analysis, have been used to simplify the myoelectric control of high-dimensional prosthetic hands. Nonetheless, their nonlinear counterparts, such as Auto…
View article: Author response: Using adversarial networks to extend brain computer interface decoding accuracy over time
Author response: Using adversarial networks to extend brain computer interface decoding accuracy over time Open
Full text Figures and data Side by side Abstract Editor's evaluation Introduction Results Discussion Materials and methods Appendix 1 Data availability References Decision letter Author response Article and author information Abstract Exis…
View article: Learning to operate a high-dimensional hand via a low-dimensional controller
Learning to operate a high-dimensional hand via a low-dimensional controller Open
Dimensionality reduction techniques have proven useful in simplifying complex hand kinematics. They may allow for a low-dimensional kinematic or myoelectric interface to be used to control a high-dimensional hand. Controlling a high-dimens…
View article: A Non-Linear Body Machine Interface for Controlling Assistive Robotic Arms
A Non-Linear Body Machine Interface for Controlling Assistive Robotic Arms Open
We consider these findings as supporting a future implementation of our interface as an assistive tool for people with motor impairments.
View article: Monkey-to-human transfer of brain-computer interface decoders
Monkey-to-human transfer of brain-computer interface decoders Open
Intracortical brain-computer interfaces (iBCIs) enable paralyzed persons to generate movement, but current methods require large amounts of both neural and movement-related data to be collected from the iBCI user for supervised decoder tra…
View article: Using adversarial networks to extend brain computer interface decoding accuracy over time
Using adversarial networks to extend brain computer interface decoding accuracy over time Open
Existing intracortical brain computer interfaces (iBCIs) transform neural activity into control signals capable of restoring movement to persons with paralysis. However, the accuracy of the “decoder” at the heart of the iBCI typically degr…
View article: Nonlinear dimensionality reduction for human movement analysis with application to body machine interfaces
Nonlinear dimensionality reduction for human movement analysis with application to body machine interfaces Open
For my PhD project, I set to explore how a nonlinear dimensionality reduction (DR) technique - autoencoder networks (AEs) - can identify low-dimensional latent manifolds of movement data. The thesis focuses on the application of this techn…
View article: A hybrid Body-Machine Interface integrating signals from muscles and motions
A hybrid Body-Machine Interface integrating signals from muscles and motions Open
Objective. Body-Machine Interfaces (BoMIs) establish a way to operate a variety of devices, allowing their users to extend the limits of their motor abilities by exploiting the redundancy of muscles and motions that remain available after …
View article: Linear and Non-linear Dimensionality-Reduction Techniques on Full Hand Kinematics
Linear and Non-linear Dimensionality-Reduction Techniques on Full Hand Kinematics Open
The purpose of this study was to find a parsimonious representation of hand kinematics data that could facilitate prosthetic hand control. Principal Component Analysis (PCA) and a non-linear Autoencoder Network (nAEN) were compared in thei…