Milad Lankarany
Milad Lankarany
The Krembil Brain Institute - University Health Network (UHN)
Verified email at - Homepage
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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
Parameter estimation optimization based on genetic algorithm applied to DC motor
M Lankarany, A Rezazade
2007 International Conference on Electrical Engineering, 1-6, 2007
Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering
M Lankarany, WP Zhu, S 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
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
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
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
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
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
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
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
Knowledge based blind deconvolution of non-minimum phase FIR systems
M Lankarany, MH Savoji
CCECE 2010, 1-5, 2010
Blind identification of non-minimum phase FIR systems using higher order statistics and hybrid genetic algorithm
M Lankarany, MH Savoji
16th International Conference on Digital Signal Processing, DSP, 2009
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
Estimating Excitatory and Inhibitory Synaptic Conductances from Spike Trains using a Recursive Bayesian Approach
M Lankarany
BioRxiv, doi:, 2017
A new iterative algorithm for estimating the glottal flow derivative of vowels
M Lankarany, MH Savoji
10th International Conference on Information Science, Signal Processing and …, 2010
Deconvolution of non-minimum phase FIR systems using adaptive filtering
M Lankarany, MH Savoji
2009 14th International CSI Computer Conference, 317-322, 2009
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