Publications

New publications are available in Google Scholar

Published (before 2021):

N. Hasanzadeh, M. Rezaei, S. Faraz, M. R. Popovic, and M. Lankarany, “Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate,” Frontiers in Computational Neuroscience., vol. 14, p. 64, Jul. 2020, doi: 10.3389/fncom.2020.00064.

A. Ghadimi, L. Milosevic, S. Kalia, M. Hodaei, A. Lozano, W. D. Hutchison, M. Popovic and M. Lankarany (2020), “P107: Inferring parameters of DBS-induced short-term synaptic plasticity from in-vivo recordings of human brain” Accepted for presentation at Proceedings of 29^th Annual Computational Neuroscience Meeting (CNS 2020), Online.

M. Alizadeh Meghrazi, Y. Tian, A. Mahnam, P. Bhattachan, L. Eskandarian, S. Taghizadeh Kakhki, M. Popovic and M. Lankarany (2020), “Multichannel ECG Recording from Waist using Textile Sensors” BioMedical Engineering OnLine, vol. 19, no. 1, p. 48, doi: 10.1186/s12938-020-00788-x.

S. Faraz, I. Mellal and M. Lankarany (2020), “Impact of Synaptic Strength on Propagation of Asynchronous Spikes in Biologically Realistic Feed-Forward Neural Network,” IEEE Journal of Selected Topics in Signal Processing, doi: 10.1109/JSTSP.2020.2983607.

T. Morshedzadeh, N. M. Drummond, U. Saha, R. Chen and M. Lankarany (2019), “Adaptive Filters to Remove Deep Brain Stimulation Artifacts from Local Field Potentials,” presented at the 2019 Conference on Cognitive Computational Neuroscience (CCN 2019), Berlin, Germany, doi: 10.32470/CCN.2019.1430-0.

M. Lankarany, D. Al-Basha, S. Ratté and S. A. Prescott (2019), “Differentially synchronized spiking enables multiplexed neural coding,” Proceedings of the National Academy of Sciences USA (PNAS), vol. 116, no. 20, pp. 10097–10102, doi: 10.1073/pnas.1812171116.

M. Lankarany, Dhekra Al-Basha, S. Ratte and S. A. Prescott (2018), “Multiplexed Coding using Differentially Synchronized Spikes: Part 1, Theory and Simulations,” Accepted for presentation at Proceedings of 27^th Annual Computational Neuroscience Meeting (CNS 2018), USA.

Dhekra Al-Basha, M. Lankarany and S. A. Prescott (2018), “Multiplexed Coding using Differentially Synchronized Spikes: Part 2, Experiments,” Accepted for presentation at Proceedings of 27^th Annual Computational Neuroscience Meeting (CNS 2018), USA.

M. Lankarany (2017), “Estimating Excitatory and Inhibitory Synaptic Conductances from Spike Trains using a Recursive Bayesian Approach,” BioRxiv, doi: https://doi.org/10.1101/170878.

L. S. Lesperance, S. Ratte, Milad Lankarany, Tianhe Zhange, and S. A. Prescott (2017), “Artifactual hyperpolarization during extracellular electrical stimulation: proposed mechanism of high-rate spinal cord stimulation disproved,” Brain Stimulation, doi: 10.1016/j.brs.2017.12.004.

M. Lankarany S. A. Prescott (2017), “Neural Population with Feedforward Inhibition and Background Conductance Noise Operate as Smart Filters,” Accepted for presentation in the Proceedings of 11^th Annual Canadian Neuroscience Meeting (CAN).

M. Lankarany, J. Heiss, I. Lampl and T. Toyoizumi (2016), “Simultaneous Bayesian estimation of excitatory and inhibitory synaptic conductances by exploiting multiple recorded trials,” Frontiers in Computational Neuroscience, doi: 10.3389/fncom.2016.00110.

A. Khubieh, S. Ratte, M. Lankarany, and S. A. Prescott (2016), “Regulation of Cortical Dynamic Range by Background Synaptic Noise and Feed-Forward Inhibition,” Cerebral Cortex, 26(8):3357-69.

M. Lankarany, S. Ratte, and S. A. Prescott (2016), “Noise Enables Multiplexed Neural Coding of Fast and Slow Signals through Synchronous and Asynchronous Spiking,” Proceedings of 10^th Annual Canadian Neuroscience Meeting (CAN).

S. Ratte, M. Lankarany, Y. A. Rho, A. Patterson and S. A. Prescott (2015), “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.

M. Lankarany and S. A. Prescott (2015), “Multiplexed Coding through Synchronous and Asynchronous Spiking,” Proceedings of 24^th Annual Computational Neuroscience Meeting, (CNS 2015), Czech Republic.

M. Lankarany, W.-P. Zhu and M. N. S. Swamy (2014), “Joint Estimation of States and Parameters of Hodgkin Huxley Model using Kalman Filtering,” Neurocomputing, Vol. 136.

M. Lankarany, W.-P. Zhu, M. N. S. Swamy and T. Toyoizumi (2013), “Inferring Trial-to-Trial Excitatory and Inhibitory Synaptic Inputs from Membrane Potential using Gaussian Mixture Kalman Filtering,” Frontiers in Computational Neuroscience, 7:109.

M. Lankarany, W.-P. Zhu, M. N. S. Swamy and T. Toyoizumi (2013), “Trial-to-Trial Tracking of Excitatory and Inhibitory Synaptic Conductances using Gaussian Mixture Kalman Filtering,” (Oral presentation) in the Proceedings of 22^nd Annual Computational Neuroscience Meeting, (CNS 2013), France.

M. Lankarany, W.-P. Zhu, M. N. S. Swamy and T. Toyoizumi (2013), “Blind Deconvolution of Hodgkin-Huxley Neuronal Model,” (Oral presentation) in the Proceedings of 35^th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2013), Japan.

M. Lankarany, W.-P. Zhu and M. N. S. Swamy (2013), “Parameter Estimation of Hodgkin Huxley Neuronal Model using Dual Extended Kalman Filtering,” (Oral presentation) in the Proceedings of IEEE International Symposium on Circuits and Systems, (ISCAS 2013), China.

M. Lankarany, A. Venkateswaran, W.-P. Zhu, M. N. S. Swamy and A. Shmuel (2012), “TMS Artifact Removal from Neurophysiological Recordings Using a Novel Iterative Adaptive Filtering,” (Poster presentation) in the Proceedings of IEEE 37^th International Conference on Acoustics, Speech and Signal Processing, (ICASSP 2012), Japan.

M. Lankarany, W.-P. Zhu and M. N. S. Swamy (2011), “Accurate Estimation of the Glottal Flow Derivative using Iteratively Reweighted 1-norm Minimization,” in the Proceedings of the IEEE 9^th International NEWCAS Conference, Bordeaux, France.

M. Lankarany, M. H. Savoji (2010), “Semi Blind Deconvolution; Application to Glottal Flow Estimation,” Iranian Journal of Electrical and Computer Engineering (IJECE), Vol. 9 (2).

M. Lankarany, M. H. Savoji (2010), “A New Iterative Algorithm for Estimating Glottal Flow Derivative of Vowels,” (Oral Presentation) in the Proceedings of the IEEE 10^th International Conference on Information Sciences, Signal Processing and their Applications, ISSPA, Malaysia.

M. Lankarany, M. H. Savoji (2010), “A New Iterative Algorithm for ARMA Modeling of Vowels and Glottal Flow Estimation Based on Blind System Identification,” in the Proceedings of the 8^th Conference on Computing, Communication and Control Technologies, CCCT, Florida, USA.

M. Lankarany, M. H. Savoji (2010), “Knowledge-based Blind Deconvolution of non-Minimum Phase FIR Systems,” (Oral Presentation) in the Proceedings of the IEEE 23^rd Canadian Conference on Electrical and Computer Engineering, CCECE, Calgary, Canada.

M. Lankarany, M. H. Savoji (2009), “Blind System Identification of non-Minimum Phase Systems Using Higher Order Statistics and Hybrid Genetic Algorithm,” (Oral Presentation) in the Proceedings of the IEEE 16^th International Conference on Digital Signal Processing, DSP, Greece.

M. Lankarany, M. H. Savoji (2009), “Deconvolution of Non-Minimum Phase Systems using Adaptive Filtering,” (Oral Presentation) in the Proceedings of the 14^th IEEE International CSI Computer Conference, CSICC, IRAN.

M. Lankarany, A. Ahmadyfard (2009), "Ear Segmentation Using Topographic Labels," in the Proceedings of the International Conference on Computer Vision Theory and Applications, VISAPP, Portugal.

M. Lankarany, A. Ahmadyfard (2009), "Ear Biometrics Using Topographic Labels," (Oral presentation) in the Proceedings of the in the Proceedings of the 14^th Int'l CSI Computer Conference, CSICC, Tehran, IRAN.

M. Lankarany, M. H. Savoji (2008), “HOS-Based Non-Minimum Phase MA Parameter Estimation using Genetic Algorithm,” in the Proceedings of the IEEE 4th International Colloquium on Signal Processing and its Applications, CSPA, Kuala Lumpur, Malaysia.

M. Lankarany and M. H. Savoji (2008), “Deconvolution of non-minimum phase Systems Using Recursive Genetic Algorithm,” in the Proceedings of the IEEE 4th International Colloquium on Signal Processing and its Applications, CSPA, Kuala Lumpur, Malaysia.

M. Lankarany, H. Marvi (2008), "Noise Reduction in Digital IIR Filters by Finding Optimum Arrangement of Second Order Sections," in the Proceedings of the IEEE's 21st Canadian Conference on Electrical and Computer Engineering, CCECE, Canada.

M. Jamaati, M. Lankarany and H. Marvi (2008) “Feature extraction for vowel recognition using Mellin transform,” Journal of Acoustical Society of America, Volume 123(5).

M. Jamaati, H. Marvi and M. Lankarany (2008), “vowels recognition using Mellin transform and plp-based feature extraction,” Journal of Acoustical Society of America, Volume 123(5).

M. Lankarany, A. Rezazade (2007), "Parameter Estimation Optimization based on Genetic Algorithm applied to DC Motor," in the Proceedings of the IEEE ICEE, Pakistan.