Milad Lankarany - Publications

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

16 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Ghadimi A, Steiner LA, Popovic MR, Milosevic L, Lankarany M. Inferring stimulation induced short-term synaptic plasticity dynamics using novel dual optimization algorithm. Plos One. 17: e0273699. PMID 36129852 DOI: 10.1371/journal.pone.0273699  0.694
2021 Milosevic L, Kalia SK, Hodaie M, Lozano AM, Popovic MR, Hutchison WD, Lankarany M. A theoretical framework for the site-specific and frequency-dependent neuronal effects of deep brain stimulation. Brain Stimulation. PMID 33991712 DOI: 10.1016/j.brs.2021.04.022  0.612
2020 Rezaei MR, Popovic MR, Lankarany M. A Time-Varying Information Measure for Tracking Dynamics of Neural Codes in a Neural Ensemble. Entropy (Basel, Switzerland). 22. PMID 33286650 DOI: 10.3390/E22080880  0.587
2020 Tian Y, Abdizadeh M, Mahnam A, Bhattachan P, Meghrazi MA, Eskandarian L, Kabir M, Mellal I, Popovic MR, Lankarany M. 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. PMID 33019009 DOI: 10.1109/EMBC44109.2020.9176393  0.437
2020 Hasanzadeh N, Rezaei M, Faraz S, Popovic MR, Lankarany M. Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate. Frontiers in Computational Neuroscience. 14: 64. PMID 32848685 DOI: 10.3389/Fncom.2020.00064  0.716
2020 Alizadeh Meghrazi M, Tian Y, Mahnam A, Bhattachan P, Eskandarian L, Taghizadeh Kakhki S, Popovic MR, Lankarany M. Multichannel ECG recording from waist using textile sensors. Biomedical Engineering Online. 19: 48. PMID 32546233 DOI: 10.1186/S12938-020-00788-X  0.458
2020 Faraz S, Mellal I, Lankarany M. Impact of Synaptic Strength on Propagation of Asynchronous Spikes in Biologically Realistic Feed-Forward Neural Network Ieee Journal of Selected Topics in Signal Processing. 14: 646-653. DOI: 10.1109/Jstsp.2020.2983607  0.75
2019 Lankarany M, Al-Basha D, Ratté S, Prescott SA. Differentially synchronized spiking enables multiplexed neural coding. Proceedings of the National Academy of Sciences of the United States of America. PMID 31028148 DOI: 10.1073/Pnas.1812171116  0.712
2017 Lesperance LS, Lankarany M, Zhang TC, Esteller R, Ratté S, Prescott SA. Artifactual hyperpolarization during extracellular electrical stimulation: Proposed mechanism of high-rate neuromodulation disproved. Brain Stimulation. PMID 29289565 DOI: 10.1016/J.Brs.2017.12.004  0.621
2016 Lankarany M, Heiss JE, Lampl I, Toyoizumi T. Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials. Frontiers in Computational Neuroscience. 10: 110. PMID 27867353 DOI: 10.3389/Fncom.2016.00110  0.429
2015 Khubieh A, Ratté S, Lankarany M, Prescott SA. Regulation of Cortical Dynamic Range by Background Synaptic Noise and Feedforward Inhibition. Cerebral Cortex (New York, N.Y. : 1991). PMID 26209846 DOI: 10.1093/Cercor/Bhv157  0.7
2015 Lankarany M, Prescott SA. Multiplexed coding through synchronous and asynchronous spiking Bmc Neuroscience. 16. DOI: 10.1186/1471-2202-16-S1-P198  0.693
2014 Ratté S, Lankarany M, Rho YA, Patterson A, Prescott SA. 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. PMID 25620913 DOI: 10.3389/Fncel.2014.00452  0.681
2014 Lankarany M, Zhu W, Swamy M. Joint estimation of states and parameters of Hodgkin–Huxley neuronal model using Kalman filtering Neurocomputing. 136: 289-299. DOI: 10.1016/J.Neucom.2014.01.003  0.675
2013 Lankarany M, Zhu WP, Swamy MN, Toyoizumi T. Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering. Frontiers in Computational Neuroscience. 7: 109. PMID 24027523 DOI: 10.3389/Fncom.2013.00109  0.697
2013 Lankarany M, Zhu W, Swamy M, Toyoizumi T. Trial-to-trial tracking of excitatory and inhibitory synaptic conductance using Gaussian-mixture Kalman filtering Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-O2  0.637
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