medRxiv (2026)
Restoring communication for people with dysarthria secondary to pontine stroke remains a critical challenge. Intracortical brain-computer interfaces (iBCIs) …
Current Biology (2026)
Summary Over the course of a voluntary movement, motor cortical activity exhibits a transition from preparation to execution, with markedly different activity …
bioRxiv (2026)
Speech brain-computer interfaces (BCIs) can restore rapid communication to people with paralysis, but decoding errors still limit performance. In recent …
bioRxiv (2026)
Learning where and when rewards like food and water are available is essential for survival1,2. In the simplest cases where resource availability is stable, …
bioRxiv (2026)
Understanding how neural signals control muscle activity during behavior is a key challenge in motor neuroscience. To this end, recent advances in intramuscular …
Nature Communications (2026)
The ability to vary the mode and loudness of speech is an important part of the expressive range of human vocal communication. However, the encoding of these …
bioRxiv (2026)
Intracortical brain-computer interfaces (BCIs) that decode complex movements, such as handwriting and speech, can require substantial training data to achieve …
PLOS Computational Biology (2026)
A primary goal of systems neuroscience is to discover how ensembles of neurons transform inputs into goal-directed behavior, a process known as neural …
Nature (2026)
Understanding how the body is represented in the motor cortex is key to understanding how the brain controls movement. Although the motor cortex has been mapped …
bioRxiv (2026)
Intracortical brain-computer interfaces (BCIs) can restore communication to people with vocal tract paralysis by decoding cortical activity during attempted …
Nature Communications (2025)
Intracortical brain-computer interfaces (iBCIs) restore motor function to people with paralysis by translating brain activity into control signals for external …
Nature Communications (2025)
The mammalian spinal locomotor network is composed of diverse populations of interneurons that collectively orchestrate and execute a range of locomotor …
Nature Communications (2025)
How does the motor cortex combine simple movements (such as single finger flexion/extension) into complex movements (such as hand gestures, or playing the …
medRxiv (2025)
Brain-computer interfaces have enabled people with paralysis to control computer cursors, operate prosthetic limbs, and communicate through handwriting, speech, …
Cell (2025)
Summary Speech brain-computer interfaces (BCIs) show promise in restoring communication to people with paralysis1–3, but have also prompted discussions …
Dystonia (2025)
Dystonia is a neurological disorder characterized by involuntary repetitive movements and abnormal postures. Animal models have played a pivotal role in …
Journal of Neural Engineering (2024)
Objective. Current intracortical brain-computer interfaces (iBCIs) rely predominantly on threshold crossings (‘spikes’) for decoding neural activity into a …
The Journal of Neuroscience (2024)
Many initial movements require subsequent corrective movements, but how the motor cortex transitions to make corrections and how similar the encoding is to …
Advances in Neural Information Processing Systems 37 (2024)
Intracortical brain-computer interfaces (iBCIs) can restore movement and communication abilities to individuals with paralysis by decoding their intended …
ArXiv (2024)
Recent advances in recording technology have allowed neuroscientists to monitor activity from thousands of neurons simultaneously. Latent variable models are …
Journal of Neural Engineering (2024)
Objective. Artificial neural networks (ANNs) are state-of-the-art tools for modeling and decoding neural activity, but deploying them in closed-loop experiments …
Nature Biomedical Engineering (2024)
Nature Biomedical Engineering (2024).
eLife (2023)
Neurons coordinate their activity to produce an astonishing variety of motor behaviors. Our present understanding of motor control has grown rapidly thanks to …
arXiv preprint arXiv:2309.01230 (2023)
Latent factor analysis via dynamical systems (LFADS) is an RNN-based variational sequential autoencoder that achieves state-of-the-art performance in denoising …
Neuron (2023)
Krishna Shenoy (Image credit: Wikipedia) Krishna Vaughn Shenoy was the most empathetic person we’ve ever known. He will surely be remembered for his scientific …
Journal of Open Source Software (2023)
Advances in neural interface technology are facilitating parallel, high-dimensional time series measurements of the brain in action. A powerful strategy for …
Proceedings of Machine Learning Research (2023)
cannot be directly measured, they can typically be approximated by low-dimensional models in a latent space. How these models represent the mapping from latent …
Neurons, Behavior, Data analysis, and Theory (2023)
Artificial neural networks that can recover latent dynamics from recorded neural activity may provide a powerful avenue for identifying and interpreting the …
Physiological Reviews (2022)
Advances in our understanding of brain function, along with the development of neural interfaces that allow for the monitoring and activation of neurons, have …
Journal of Neural Engineering (2022)
Objective. To study the neural control of movement, it is often necessary to estimate how muscles are activated across a variety of behavioral conditions. One …
Nature Methods (2022)
Recent technical advances have enabled recording of increasingly large populations of neural activity, even during natural, unstructured behavior. Deep …
Nature Neuroscience (2022)
In many brain areas, neural populations act as a coordinated network whose state is tied to behavior on a moment-by-moment basis and millisecond timescale. …
Neurons, Behavior, Data analysis, and Theory (2021)
Neural population activity is theorized to reflect an underlying dynamical structure. This structure can be accurately captured using state space models with …
Advances in Neural Information Processing Systems (2021)
Advances in neural recording present increasing opportunities to study neural activity in unprecedented detail. Latent variable models (LVMs) are promising …
Advances in Neural Information Processing Systems (2021)
Modern neural interfaces allow access to the activity of up to a million neurons within brain circuits. However, bandwidth limits often create a trade-off …
eneuro (2020)
The ability to grasp and manipulate objects requires controlling both finger movement kinematics and isometric force in rapid succession. Previous work suggests …
Nature Biomedical Engineering (2020)
Nature Biomedical Engineering (2020).
Journal of Neurophysiology (2019)
Intracortical brain-computer interfaces (BCIs) can enable individuals to control effectors, such as a computer cursor, by directly decoding the user’s …
Scientific Reports (2019)
Decoders optimized offline to reconstruct intended movements from neural recordings sometimes fail to achieve optimal performance online when they are used in …
Advances in Neural Information Processing Systems (2019)
Continuing advances in neural interfaces have enabled simultaneous monitoring of spiking activity from hundreds to thousands of neurons. To interpret these …
Journal of Neurophysiology (2018)
Restoring communication for people with locked-in syndrome remains a challenging clinical problem without a reliable solution. Recent studies have shown that …
Journal of Neural Engineering (2018)
These results demonstrate the potential for an intracortical BCI to be used immediately after deployment by people with paralysis, without the need for user …
The Journal of Neuroscience (2018)
In the 1960s, Evarts first recorded the activity of single neurons in motor cortex of behaving monkeys (Evarts, 1968). In the 50 years since, great effort has …
Nature Methods (2018)
Neuroscience is experiencing a revolution in which simultaneous recording of thousands of neurons is revealing population dynamics that are not apparent from …
IEEE Transactions on Biomedical Engineering (2018)
Objective: Brain–computer interfaces (BCIs) aim to help people with impaired movement ability by directly translating their movement intentions into command …
PLOS ONE (2018)
General-purpose computers have become ubiquitous and important for everyday life, but they are difficult for people with paralysis to use. Specialized software …
Scientific Reports (2018)
Brain-machine interfaces (BMIs) that decode movement intentions should ignore neural modulation sources distinct from the intended command. However, …
IEEE Transactions on Biomedical Engineering (2018)
Objective: Recent reports indicate that making better assumptions about the user’s intended movement can improve decoder calibration for intracortical …
Journal of Neural Engineering (2017)
The results give new insight into how iBCI movements currently differ from able-bodied movements and suggest that restoring a Fitts’ law-like relationship …
eLife (2017)
Brain-computer interfaces (BCIs) have the potential to restore communication for people with tetraplegia and anarthria by translating neural activity into …
Journal of Neural Engineering (2017)
Objective. When using an intracortical BCI (iBCI), users modulate their neural population activity to move an effector towards a target, stop accurately, and …
arXiv (2016)
Neuroscience is experiencing a data revolution in which many hundreds or thousands of neurons are recorded simultaneously. Currently, there is little consensus …
Science Translational Medicine (2015)
Brain-computer interfaces (BCIs) promise to restore independence for people with severe motor disabilities by translating decoded neural activity directly into …
eLife (2015)
The prevailing view of motor cortex holds that motor cortical neural activity represents muscle or movement parameters. However, recent studies in non-human …
Nature Medicine (2015)
Neural prostheses have the potential to improve the quality of life of individuals with paralysis by directly mapping neural activity to limb- and …
PLoS Pathogens (2014)
Histone modifications are important regulators of gene expression in all eukaryotes. In Plasmodium falciparum, these epigenetic marks regulate expression of …
13th IEEE International Conference on BioInformatics and BioEngineering (2013)
Optogenetics offers a powerful new approach for controlling neural circuits. It has a vast array of applications in both basic and clinical science. For basic …
Proceedings of the National Academy of Sciences (2012)
Retinal prosthetics offer hope for patients with retinal degenerative diseases. There are 20-25 million people worldwide who are blind or facing blindness due …
The Journal of Neuroscience (2010)
Several recent studies have shown that the ON and OFF channels of the visual system are not simple mirror images of each other, that their response …
Frontiers in Computational Neuroscience (2010)
An animal’s ability to rapidly adjust to new conditions is essential to its survival. The nervous system, then, must be built with the flexibility to …
PLoS ONE (2008)
Background The visual system can adjust itself to different visual environments. One of the most well known examples of this is the shift in spatial tuning that …
Journal of Applied Physics (2005)
Current–voltage measurements of Au contacts deposited on ex situ cleaned, n-type ZnO(0001) [(0001¯)] surfaces showed reverse bias leakage current densities of …
Journal of Vacuum Science & Technology A: Vacuum, Surfaces, and Films (2005)
In situ exposure of the (0001) surface of AlN thin films to flowing ammonia at 1120 °C and 10−4Torr removes oxygen∕hydroxide and hydrocarbon species below the …