Milad Lankarany

Affiliations: 
Fundamental Neurobiology Department Krembil Research Institute 
Area:
Neural Coding, Computational Neuroscience
Website:
https://sites.google.com/view/lnsbsp/home
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"Milad Lankarany"
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Parents

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M.N.S. Swamy grad student 2010-2013 Concordia (E-Tree)
Wei-Ping Zhu grad student 2010-2013 Concordia
Steven A. Prescott post-doc 2014-2017 University of Toronto (Sick Kids)

Children

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Sayan Faraz research assistant 2019-2020 University of Toronto
Taha Morshedzadeh research assistant 2019-2020 University of Toronto
alireza ghadimi grad student 2019-2021 University of Toronto
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Publications

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Rezaei MR, Popovic MR, Lankarany M. (2020) A Time-Varying Information Measure for Tracking Dynamics of Neural Codes in a Neural Ensemble. Entropy (Basel, Switzerland). 22
Tian Y, Abdizadeh M, Mahnam A, et al. (2020) Modeling and Reconstructing Textile Sensor Noise: Implications for Wearable Technology. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2020: 4563-4566
Hasanzadeh N, Rezaei M, Faraz S, et al. (2020) Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate. Frontiers in Computational Neuroscience. 14: 64
Alizadeh Meghrazi M, Tian Y, Mahnam A, et al. (2020) Multichannel ECG recording from waist using textile sensors. Biomedical Engineering Online. 19: 48
Lankarany M, Al-Basha D, Ratté S, et al. (2019) Differentially synchronized spiking enables multiplexed neural coding. Proceedings of the National Academy of Sciences of the United States of America
Lesperance LS, Lankarany M, Zhang TC, et al. (2017) Artifactual hyperpolarization during extracellular electrical stimulation: Proposed mechanism of high-rate neuromodulation disproved. Brain Stimulation
Khubieh A, Ratté S, Lankarany M, et al. (2015) Regulation of Cortical Dynamic Range by Background Synaptic Noise and Feedforward Inhibition. Cerebral Cortex (New York, N.Y. : 1991)
Ratté S, Lankarany M, Rho YA, et al. (2014) Subthreshold membrane currents confer distinct tuning properties that enable neurons to encode the integral or derivative of their input. Frontiers in Cellular Neuroscience. 8: 452
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