Milad Lankarany
Milad Lankarany
The Krembil Brain Institute - University Health Network (UHN)
Verified email at - Homepage
Cited by
Cited by
Subthreshold membrane currents confer distinct tuning properties that enable neurons to encode the integral or derivative of their input
S Ratté, M Lankarany, YA Rho, A Patterson, SA Prescott
Frontiers in cellular neuroscience 8, 452, 2015
Differentially synchronized spiking enables multiplexed neural coding
M Lankarany, D Al-Basha, S Ratté, SA Prescott
Proceedings of the National Academy of Sciences 116 (20), 10097-10102, 2019
Multichannel ECG recording from waist using textile sensors
M Alizadeh Meghrazi, Y Tian, A Mahnam, P Bhattachan, L Eskandarian, ...
BioMedical Engineering OnLine 19 (1), 1-18, 2020
Parameter estimation optimization based on genetic algorithm applied to DC motor
M Lankarany, A Rezazade
2007 International Conference on Electrical Engineering, 1-6, 2007
Regulation of cortical dynamic range by background synaptic noise and feedforward inhibition
A Khubieh, S Ratté, M Lankarany, SA Prescott
Cerebral Cortex 26 (8), 3357-3369, 2016
Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering
M Lankarany, WP Zhu, MNS Swamy, T Toyoizumi
Frontiers in Computational Neuroscience 7, 109, 2013
Joint estimation of states and parameters of hodgkin–huxley neuronal model using kalman filtering
M Lankarany, WP Zhu, MNS Swamy
Neurocomputing 136, 289-299, 2014
A theoretical framework for the site-specific and frequency-dependent neuronal effects of deep brain stimulation
L Milosevic, SK Kalia, M Hodaie, AM Lozano, MR Popovic, WD Hutchison, ...
BioRxiv, 2020
Ten simple rules for creating a brand-new virtual academic meeting (even amid a pandemic)
S Rich, AO Diaconescu, JD Griffiths, M Lankarany
PLOS Computational Biology 16 (12), e1008485, 2020
Parameter estimation of Hodgkin-Huxley neuronal model using dual extended Kalman filter
M Lankarany, WP Zhu, MNS Swamy
2013 IEEE International Symposium on Circuits and Systems (ISCAS), 2493-2496, 2013
Simultaneous bayesian estimation of excitatory and inhibitory synaptic conductances by exploiting multiple recorded trials
M Lankarany, JE Heiss, I Lampl, T Toyoizumi
Frontiers in computational neuroscience 10, 110, 2016
Artifactual hyperpolarization during extracellular electrical stimulation: Proposed mechanism of high-rate neuromodulation disproved
LS Lesperance, M Lankarany, TC Zhang, R Esteller, S Ratté, SA Prescott
Brain stimulation 11 (3), 582-591, 2018
Vowels recognition using mellin transform and PLP-based feature extraction
M Jamaati, H Marvi, M Lankarany
Journal of the Acoustical Society of America 123 (5), 3177, 2008
Necessary conditions for reliable propagation of slowly time-varying firing rate
N Hasanzadeh, M Rezaei, S Faraz, MR Popovic, M Lankarany
Frontiers in computational neuroscience 14, 64, 2020
Impact of synaptic strength on propagation of asynchronous spikes in biologically realistic feed-forward neural network
S Faraz, I Mellal, M Lankarany
IEEE Journal of Selected Topics in Signal Processing 14 (4), 646-653, 2020
Blind deconvolution of Hodgkin-Huxley neuronal model
M Lankarany, WP Zhu, MNS Swamy, T Toyoizumi
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
Noise reduction in digital iir filters by finding optimum arrangement of second-order sections
M Lankarany, H Marvi
2008 Canadian Conference on Electrical and Computer Engineering, 000689-000692, 2008
Parameter estimation optimizization based on gentic algorithm
M Lankarany, A Rezazade
IEEE Trans. on Industry Applications 36 (6), 365-370, 2006
A time-varying information measure for tracking dynamics of neural codes in a neural ensemble
MR Rezaei, MR Popovic, M Lankarany
Entropy 22 (8), 880, 2020
Modeling and reconstructing textile sensor noise: Implications for wearable technology
Y Tian, M Abdizadeh, A Mahnam, P Bhattachan, MA Meghrazi, ...
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
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