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Maria Dadarlat
Maria Dadarlat
Other namesMaria Makin
Assistant Professor, School of Biomedical Engineering, Purdue University
Verified email at purdue.edu
Title
Cited by
Cited by
Year
A learning-based approach to artificial sensory feedback leads to optimal integration
MC Dadarlat, JE O'doherty, PN Sabes
Nature neuroscience 18 (1), 138-144, 2015
2182015
Locomotion enhances neural encoding of visual stimuli in mouse V1
MC Dadarlat, MP Stryker
Journal of Neuroscience 37 (14), 3764-3775, 2017
1792017
Flow stimuli reveal ecologically appropriate responses in mouse visual cortex
L Dyballa, MS Hoseini, MC Dadarlat, SW Zucker, MP Stryker
Proceedings of the National Academy of Sciences 115 (44), 11304-11309, 2018
272018
Widespread activation of awake mouse cortex by electrical stimulation
MC Dadarlat, Y Sun, MP Stryker
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER …, 2019
122019
Calibration of neurotransmitter release from neural cells for therapeutic implants
SS Jedlicka, M Dadarlat, T Hassell, Y Lin, A Young, M Zhang, P Irazoqui, ...
International journal of neural systems 19 (03), 197-212, 2009
92009
Spatiotemporal recruitment of inhibition and excitation in the mammalian cortex during electrical stimulation
MC Dadarlat, YJ Sun, MP Stryker
bioRxiv, 2022.06. 03.494729, 2022
72022
Activity-dependent recruitment of inhibition and excitation in the awake mammalian cortex during electrical stimulation
MC Dadarlat, YJ Sun, MP Stryker
Neuron 112 (5), 821-834. e4, 2024
52024
Multisensory integration of vision and intracortical microstimulation for sensory substitution and augmentation
MC Dadarlat, JE O’Doherty, PN Sabes
Annual meeting, Society for Neuroscience 20122012, 292.212, 2012
52012
A learning-based approach to artificial sensory feedback: intracortical microstimulation (ICMS) replaces and augments vision
MC Dadarlat, JE O’Doherty, PN Sabes
6thInternational IEEE EMBS Conference on Neural Engineering, 2013
42013
A learning-based approach to artificial sensory feedback
MC Dadarlat, JE O’Doherty, PN Sabes
Brain-Computer Interface Research: A State-of-the-Art Summary 3, 31-46, 2014
32014
Neural Plasticity in Sensorimotor Brain–Machine Interfaces
MC Dadarlat, RA Canfield, AL Orsborn
Annual review of biomedical engineering 25, 51-76, 2023
22023
Encoding and decoding of multi-channel ICMS in macaque somatosensory cortex
MC Dadarlat, PN Sabes
IEEE Transactions on Haptics 9 (4), 508-514, 2016
22016
Protocol for recording neural activity evoked by electrical stimulation in mice using two-photon calcium imaging
S Park, M Lipton, YJ Sun, M Dadarlat
STAR Protocols 5 (2), 103027, 2024
2024
NSF HDR ML Anomaly Detection Challenge
YT Chou, E Khoda, SC Hsu, P Harris, M Dadarlat, S Park, E Govorkova
Bulletin of the American Physical Society, 2024
2024
Decoding multi-limb movements from low temporal resolution calcium imaging using deep learning
S Park, M Lipton, M Dadarlat
bioRxiv, 2023.11. 30.569459, 2023
2023
A learning-based approach to artificial sensory feedback
PN Sabes, MC Dadarlat, JE O'Doherty
2015 American Control Conference (ACC), 3782-3782, 2015
2015
Artificial Sensory Feedback for Neural Prostheses
MC Dadarlat
University of California, San Francisco, 2014
2014
Decoding Upsampled Limb Trajectories of a Running Mouse from 2-Photon Calcium Imaging Using a Recurrent Neural Network Encoder-Decoder
S Park, M Lipton, M Dadarlat
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