Simple voltage balancing approach for CHB multilevel inverter considering low harmonic content based on a hybrid optimal modulation strategy A Ghazanfari, H Mokhtari, M Firouzi IEEE Transactions on Power Delivery 27 (4), 2150-2158, 2012 | 59 | 2012 |
Spiking cooperative stereo-matching at 2 ms latency with neuromorphic hardware G Dikov, M Firouzi, F Röhrbein, J Conradt, C Richter Biomimetic and Biohybrid Systems: 6th International Conference, Living …, 2017 | 50 | 2017 |
Asynchronous Event-based Cooperative Stereo Matching Using Neuromorphic Silicon Retinas M Firouzi, J Conradt Neural Processing Letters 43 (2), 311–326, 2016 | 46 | 2016 |
Hysteresis nonlinearity identification using new Preisach model‐based artificial neural network approach MR Zakerzadeh, M Firouzi, H Sayyaadi, SB Shouraki Journal of Applied Mathematics 2011 (1), 458768, 2011 | 45 | 2011 |
Pattern analysis by active learning method classifier M Firouzi, SB Shouraki, IEP Afrakoti Journal of Intelligent & Fuzzy Systems 26 (1), 49-62, 2014 | 24 | 2014 |
Sensorimotor control learning using a new adaptive spiking neuro-fuzzy machine, spike-ids and stdp M Firouzi, SB Shouraki, J Conradt Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 13 | 2014 |
Performance Evaluation of Active Learning Method in Classification Problems M Firouzi, SB Shouraki ICMLC 2011, 2011 | 7 | 2011 |
A novel pipeline architecture of Replacing Ink Drop Spread M Firouzi, SB Shouraki, M Tabandeh, HR Mousavi 2010 Second World Congress on Nature and Biologically Inspired Computing …, 2010 | 7 | 2010 |
Spiking neural network ink drop spread, spike-ids M Firouzi, SB Shouraki, MG Rostami Advances in Cognitive Neurodynamics (III) Proceedings of the Third …, 2013 | 6 | 2013 |
Hysteresis identification of shape memory alloy actuators using a novel artificial neural network based Presiach model MR Zakerzadeh, M Firouzi, H Sayyaadi, SB Shouraki Smart Materials, Adaptive Structures and Intelligent Systems 44151, 653-660, 2010 | 4 | 2010 |
Hysteresis nonlinearity identification by using RBF neural network approach M Firouzi, SB Shouraki, MR Zakerzadeh 2010 18th Iranian Conference on Electrical Engineering, 692-697, 2010 | 3 | 2010 |
Flexible Cue Integration by Line Attraction Dynamics and Divisive Normalization M Firouzi, S Glasauer, J Conradt Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014 | 2 | 2014 |
Modulating Neural Activity can bias Neural Dynamics in Attractor Networks for Optimal Weighted Cueing M Firouzi, C Axenie, S Glasauer, J Conradt BCCN-Munich Conference, Tutzing, 2014 | 1 | 2014 |
Shouraki, Hysteresis Nonlinearity Identification Using New Preisach Model-Based Artificial Neural Network Approach MR Zacherzadach, M Firouzi, SB Hassan Journal of Applied Mathematics 2, 2011 | 1* | 2011 |
Spike-IDS, a novel biologically inspired spiking neural model for Active Learning Method fuzzy modeling M Firouzi Sharif University of Technology - Central Library, 2011 | 1 | 2011 |
Sensor fusion in distributed cortical circuits M Firouzi Graduate School of Systemic Neurosciences (GSN) - LMU, 2020 | | 2020 |
Causal Bayesian Inference in hierarchical distributed computation in the Cortex, towards a neural model M Firouzi, S Glasauer, J Conradt Bernstein Conference 2015, 2015 | | 2015 |
Developing a Recurrent Neural Network solution for motion estimation to enhance attention-based tracking network M Guo, T Takezawa, C Allig, J Conradt, M Firouzi | | 2015 |
Construction of the 3D-world in the brain S Bilgeri, L Everding, M Firouzi | | 2014 |
Self-Organizing Recurrent Neural Networks A Miguet, J Conradt, M Firouzi | | 2014 |