Maria C. Dadarlat
Neuroscience · Purdue University West Lafayette
Publications
31
Citations
614
Est. group size
~2
Recurring co-author estimate
Active years
18
Publishing since 2009
Maria C. Dadarlat studies how the brain's sensory and motor systems represent movement and touch, and how artificial signals delivered through brain-machine interfaces can be integrated with natural sensation. Her work combines electrical stimulation, two-photon calcium imaging, and deep learning to decode limb movements and study cortical circuits in mice, with applications toward neural prosthetics and brain-computer interfaces. This research is aimed at understanding how the brain adapts to artificial inputs and how this knowledge could improve devices that restore sensory or motor function.
Publication output was low and intermittent from 2017-2022 but has increased notably from 2023 onward, with a sharp rise in 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Population-level encoding of somatosensation in mouse sensorimotor cortex
Journal of Neurophysiology · 2026
- Integration of learned artificial sensation with vision during freely moving navigation
Proceedings of the National Academy of Sciences · 2026
- Inhibitory network predicts microstimulation-induced circuit changes in the awake mammalian cortex
bioRxiv (Cold Spring Harbor Laboratory) · 2026
- Population-level encoding of somatosensation
Mendeley Data · 2026
- Population-level encoding of somatosensation
Mendeley Data · 2026
- Population-level encoding of somatosensation
Mendeley Data · 2026
- Population-level encoding of somatosensation
Mendeley Data · 2026
- Population-level encoding of somatosensation in mouse sensorimotor cortex
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Toward an Optical BCI: Overcoming the Limitation of Low Sampling Rate for Decoding Limb Movements
Springer briefs in electrical and computer engineering · 2025
- Rapid integration of artificial sensation
bioRxiv (Cold Spring Harbor Laboratory) · 2025
- Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning
Journal of Neural Engineering · 2024
- Protocol for recording neural activity evoked by electrical stimulation in mice using two-photon calcium imaging
STAR Protocols · 2024
- Activity-dependent recruitment of inhibition and excitation in the awake mammalian cortex during electrical stimulation
Neuron · 2023
- Neural Plasticity in Sensorimotor Brain–Machine Interfaces
Annual Review of Biomedical Engineering · 2023
- Decoding multi-limb movements from low temporal resolution calcium imaging using deep learning
bioRxiv (Cold Spring Harbor Laboratory) · 2023
- bioRxiv (Cold Spring Harbor Laboratory)×8
- Mendeley Data×4
- Proceedings of the National Academy of Sciences×2
- Journal of Neuroscience×1
- Neuron×1
- Seungbin Park
Neuroscience · Purdue University West Lafayette
- John M. Beggs
Neuroscience · Indiana University
- William R. Holmes
Neuroscience · Indiana University
- Alexey Kuznetsov
Neuroscience · Indiana University
- Jue Mo
Neuroscience · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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