The science and engineering behind sensitized brain-controlled bionic hands
C Pandarinath, SJ Bensmaia - Physiological Reviews, 2022 - journals.physiology.org
Advances in our understanding of brain function, along with the development of neural
interfaces that allow for the monitoring and activation of neurons, have paved the way for …
interfaces that allow for the monitoring and activation of neurons, have paved the way for …
A high-performance speech neuroprosthesis
Speech brain–computer interfaces (BCIs) have the potential to restore rapid communication
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …
to people with paralysis by decoding neural activity evoked by attempted speech into text, or …
Latent factors and dynamics in motor cortex and their application to brain–machine interfaces
In the 1960s, Evarts first recorded the activity of single neurons in motor cortex of behaving
monkeys. In the 50 years since, great effort has been devoted to understanding how single …
monkeys. In the 50 years since, great effort has been devoted to understanding how single …
High-performance brain-to-text communication via handwriting
Brain–computer interfaces (BCIs) can restore communication to people who have lost the
ability to move or speak. So far, a major focus of BCI research has been on restoring gross …
ability to move or speak. So far, a major focus of BCI research has been on restoring gross …
Preserved neural dynamics across animals performing similar behaviour
Animals of the same species exhibit similar behaviours that are advantageously adapted to
their body and environment. These behaviours are shaped at the species level by selection …
their body and environment. These behaviours are shaped at the species level by selection …
Long-term stability of cortical population dynamics underlying consistent behavior
Animals readily execute learned behaviors in a consistent manner over long periods of time,
and yet no equally stable neural correlate has been demonstrated. How does the cortex …
and yet no equally stable neural correlate has been demonstrated. How does the cortex …
Stabilization of a brain–computer interface via the alignment of low-dimensional spaces of neural activity
The instability of neural recordings can render clinical brain–computer interfaces (BCIs)
uncontrollable. Here, we show that the alignment of low-dimensional neural manifolds (low …
uncontrollable. Here, we show that the alignment of low-dimensional neural manifolds (low …
Brain microvasculature has a common topology with local differences in geometry that match metabolic load
The microvasculature underlies the supply networks that support neuronal activity within
heterogeneous brain regions. What are common versus heterogeneous aspects of the …
heterogeneous brain regions. What are common versus heterogeneous aspects of the …
Neural latents benchmark'21: evaluating latent variable models of neural population activity
Advances in neural recording present increasing opportunities to study neural activity in
unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this …
unprecedented detail. Latent variable models (LVMs) are promising tools for analyzing this …
A unified, scalable framework for neural population decoding
Our ability to use deep learning approaches to decipher neural activity would likely benefit
from greater scale, in terms of both the model size and the datasets. However, the …
from greater scale, in terms of both the model size and the datasets. However, the …