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Behavioral signature of trihexyphenidyl in the TOR1A (DYT1) knockin mouse model of dystonia
Dystonia (2025). Dystonia is a neurological disorder characterized by involuntary repetitive movements and abnormal postures. Animal models have played a pivotal role in studying the pathophysiology of dystonia. However, many genetic models, e.g., …
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Behavioral signature of trihexyphenidyl in the TOR1A (DYT1) knockin mouse model of dystonia
Inner speech in motor cortex and implications for speech neuroprostheses
Cell (2025).
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Inner speech in motor cortex and implications for speech neuroprostheses
Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex
Nature Communications (2025).
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Pseudo-linear summation explains neural geometry of multi-finger movements in human premotor cortex
Spinal interneuron population dynamics underlying flexible pattern generation
Nature Communications (2025).
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Spinal interneuron population dynamics underlying flexible pattern generation
Stabilizing brain-computer interfaces through alignment of latent dynamics
Nature Communications (2025).
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Stabilizing brain-computer interfaces through alignment of latent dynamics
An application-based taxonomy for brain--computer interfaces
Nature Biomedical Engineering (2024).
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An application-based taxonomy for brain--computer interfaces
BRAND: A platform for closed-loop experiments with deep network models
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 with tight timing constraints is challenging due …
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BRAND: A platform for closed-loop experiments with deep network models
Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
Advances in Neural Information Processing Systems 37 (2024).
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Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark
Identifying distinct neural features between the initial and corrective phases of precise reaching using AutoLFADS
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 initial movements is unclear. In our study, we explored …
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Identifying distinct neural features between the initial and corrective phases of precise reaching using AutoLFADS
Reducing power requirements for high-accuracy decoding in iBCIs
Journal of Neural Engineering (2024). Objective. Current intracortical brain-computer interfaces (iBCIs) rely predominantly on threshold crossings (‘spikes’) for decoding neural activity into a control signal for an external device. Spiking data ca…
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Reducing power requirements for high-accuracy decoding in iBCIs