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Milad Lankarany
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2020 – today
- 2024
- [i5]Mohammad R. Rezaei, Rahul G. Krishnan, Milos R. Popovic, Milad Lankarany:
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling. CoRR abs/2409.14599 (2024) - [i4]Xavier Mootoo, Alan A. Díaz-Montiel, Milad Lankarany, Hina Tabassum:
Stochastic Sparse Sampling: A Framework for Variable-Length Medical Time Series Classification. CoRR abs/2410.06412 (2024) - 2023
- [j10]Mohammad R. Rezaei, Reza Saadati Fard, Milos R. Popovic
, Steven A. Prescott
Synchrony-Division Neural Multiplexing: An Encoding Model. Entropy 25(4): 589 (2023) - [j9]Loïc J. Azzalini, David Crompton, Gabriele M. T. D'Eleuterio, Frances K. Skinner, Milad Lankarany:
Adaptive unscented Kalman filter for neuronal state and parameter estimation. J. Comput. Neurosci. 51(2): 223-237 (2023) - 2022
- [j8]Yupeng Tian
Modeling and Reproducing Textile Sensor Noise: Implications for Textile-Compatible Signal Processing Algorithms. IEEE J. Biomed. Health Informatics 26(1): 243-253 (2022) - [i3]Mohammad R. Rezaei, Milos R. Popovic, Milad Lankarany, Ali Yousefi:
Deep Discriminative Direct Decoders for High-dimensional Time-series Analysis. CoRR abs/2205.10947 (2022) - [i2]Nooshin Bahador, Milad Lankarany:
Uncovering the Origins of Instability in Dynamical Systems: How Attention Mechanism Can Help? CoRR abs/2212.09641 (2022) - 2021
- [c8]Idir Mellal, David Crompton, Milos R. Popovic, Milad Lankarany:
A Flexible FPGA Implementation of Morris-Lecar Neuron for Reproducing Different Neuronal Behaviors. ICONS 2021: 19:1-19:5 - [i1]Aman Bhargava, Mohammad R. Rezaei, Milad Lankarany:
Gradient-Free Neural Network Training via Synaptic-Level Reinforcement Learning. CoRR abs/2105.14383 (2021) - 2020
- [j7]Mohammad R. Rezaei
A Time-Varying Information Measure for Tracking Dynamics of Neural Codes in a Neural Ensemble. Entropy 22(8): 880 (2020) - [j6]Navid Hasanzadeh, Mohammad R. Rezaei
Necessary Conditions for Reliable Propagation of Slowly Time-Varying Firing Rate. Frontiers Comput. Neurosci. 14: 64 (2020) - [j5]Sayan Faraz
Impact of Synaptic Strength on Propagation of Asynchronous Spikes in Biologically Realistic Feed-Forward Neural Network. IEEE J. Sel. Top. Signal Process. 14(4): 646-653 (2020) - [j4]Scott Rich
Ten simple rules for creating a brand-new virtual academic meeting (even amid a pandemic). PLoS Comput. Biol. 16(12) (2020) - [c7]Yupeng Tian
Modeling and Reconstructing Textile Sensor Noise: Implications for Wearable Technology. EMBC 2020: 4563-4566
2010 – 2019
- 2016
- [j3]Milad Lankarany
Simultaneous Bayesian Estimation of Excitatory and Inhibitory Synaptic Conductances by Exploiting Multiple Recorded Trials. Frontiers Comput. Neurosci. 10: 110 (2016) - 2014
- [j2]Milad Lankarany
Joint estimation of states and parameters of Hodgkin-Huxley neuronal model using Kalman filtering. Neurocomputing 136: 289-299 (2014) - 2013
- [j1]Milad Lankarany
Inferring trial-to-trial excitatory and inhibitory synaptic inputs from membrane potential using Gaussian mixture Kalman filtering. Frontiers Comput. Neurosci. 7: 109 (2013) - [c6]Milad Lankarany
Blind Deconvolution of Hodgkin-Huxley neuronal model. EMBC 2013: 3941-3944 - [c5]Milad Lankarany
Parameter estimation of Hodgkin-Huxley neuronal model using dual extended Kalman filter. ISCAS 2013: 2493-2496 - 2012
- [c4]Milad Lankarany
TMS artifact removal from neurophysiolical recordings using a novel iterative adaptive filtering. ICASSP 2012: 749-752 - 2010
- [c3]Milad Lankarany
Knowledge based blind deconvolution of non-minimum phase FIR systems. CCECE 2010: 1-5 - [c2]Milad Lankarany
A new iterative algorithm for estimating the glottal flow derivative of vowels. ISSPA 2010: 13-16
2000 – 2009
- 2009
- [c1]Milad Lankarany, Alireza Ahmadyfard:
Ear Segmetation using Topographic Labels. VISAPP (2) 2009: 186-191
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