Preeya Khanna
Assistant Professor
Studies how distributed brain networks control dexterous movement, combining network modeling and neurotechnology.
Preeya Khanna's lab at UC Berkeley works on neuroscience & brain-computer interfaces, manipulation & robot learning and distributed, cloud & edge systems. 10 papers since 2023, 3 at top venues, mostly Nature and Nature Communications. 1 master's student. 6 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 30%
- PhD students
- 0
- MS students
- 1
- alumni listed
- 6
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 2
- 0 papers2024 · T1 0
- 2 papers2023 · T1 0
T1 venuesOtherVenues: Nature, Nature Communications, Neuron
Research focuspaper titles that use each topic's words
- Manipulation & robot learning2 papers
- Neuroscience & brain-computer interfaces1 paper
- movement1 paper
- Distributed, cloud & edge systems0 papers
- neurotechnology0 papers
Paper list
From the lab homepage.
20264 papers
- SensorsA Low Cost, Accurate, and Easily Worn E-Skin and IMU Hand Kinematic Measurement System (* indicates equal contribution)
- Cell ReportsConserved role of primary motor cortex in the control of prehension in mice and macaques
- Nature Communications (T1)Multi-day recalibration-free electrophysiology interface based on carbon nanotube thin film dry electrodes
- Accepted at Nature Biomedical EngineeringNeural Recording Power Optimization Through Machine Learning Guided Resolution Reconfiguration
20254 papers
- IEEE Neural Engineering ConferenceA novel brain-machine interface (BMI) system for motor rehabilitation in a severely impaired chronic stroke participant
- Nature (T1)Ensemble reactivations during brief rest drive fast learning of sequences
- Neuron (T1)Restoration of temporal separability between beta and movement ensemble co-firing with motor recovery
- eLifeSeparable global and local beta burst dynamics in motor cortex of primates
20232 papers
- Current biologyInvariant neural dynamics drive commands to control different movements
- Neurorehabilitation and Neural RepairMeasuring arm and hand joint kinematics to estimate impairment during a functional reach and grasp task after stroke
Where alumni went6 listed
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
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