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Mostafa Rahimi Azghadi
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2020 – today
- 2024
- [j48]Alzayat Saleh
, Alex Olsen, Jake C. Wood, Bronson Philippa, Mostafa Rahimi Azghadi
WeedCLR: Weed contrastive learning through visual representations with class-optimized loss in long-tailed datasets. Comput. Electron. Agric. 227: 109526 (2024) - [j47]Alzayat Saleh
Applications of deep learning in fish habitat monitoring: A tutorial and survey. Expert Syst. Appl. 238(Part B): 121841 (2024) - [j46]Xuening Dong, Amirali Amirsoleimani
WALLAX: A memristor-based Gaussian random number generator. Neurocomputing 566: 126933 (2024) - [j45]Xuening Dong, Brian Chen
SITU: Stochastic input encoding and weight update thresholding for efficient memristive neural network in-situ training. Neurocomputing 605: 128275 (2024) - [j44]Ben Walters
Unsupervised character recognition with graphene memristive synapses. Neural Comput. Appl. 36(4): 1569-1584 (2024) - [j43]Ben Walters, Hamid Rahimian Kalatehbali, Zhengyu Cai, Roman Genov, Amirali Amirsoleimani, Jason Eshraghian, Mostafa Rahimi Azghadi:
Efficient sparse spiking auto-encoder for reconstruction, denoising and classification. Neuromorph. Comput. Eng. 4(3): 34005 (2024) - [j42]Alzayat Saleh
How to track and segment fish without human annotations: a self-supervised deep learning approach. Pattern Anal. Appl. 27(1): 4 (2024) - [j41]Shuangming Yang
NADOL: Neuromorphic Architecture for Spike-Driven Online Learning by Dendrites. IEEE Trans. Biomed. Circuits Syst. 18(1): 186-199 (2024) - [j40]Fereshteh Behbahani
A Novel Hardware Solution for Efficient Approximate Fuzzy Image Edge Detection. IEEE Trans. Fuzzy Syst. 32(5): 3199-3210 (2024) - [c39]Shuangming Yang, Qing He, Mostafa Rahimi Azghadi:
SOMeL: Multi-Granular Optimized Framework for Digital Neuromorphic Meta-Learning. I2MTC 2024: 1-6 - [c38]Alireza Ahrar, Jianxiong Xu, Mohammad Reza Pazhouhandeh, Antoine Frappé, Mostafa Rahimi Azghadi, Amirali Amirsoleimani:
Toward Accurate Analysis of Channel Charge Injection in SAR ADCs' Capacitive DACs. ISCAS 2024: 1-5 - [c37]Jack Cai, Muhammad Ahsan Kaleem, Roman Genov, Mostafa Rahimi Azghadi, Amirali Amirsoleimani:
In-Memory Transformer Self-Attention Mechanism Using Passive Memristor Crossbar. ISCAS 2024: 1-5 - [c36]Zhengyu Cai, Hamid Rahimian Kalatehbali, Ben Walters, Mostafa Rahimi Azghadi, Roman Genov, Amirali Amirsoleimani:
Advancing Image Classification with Phase-coded Ultra-Efficient Spiking Neural Networks. ISCAS 2024: 1-5 - [c35]Andy Gong
NURODE: In-Memory Crossbar Core for Hodgkin-Huxley Model ODE-Based Computations. ISCAS 2024: 1-5 - [c34]Vince Tran, Demeng Chen, Roman Genov, Mostafa Rahimi Azghadi, Amirali Amirsoleimani:
BITLITE: Light Bit-wise Operative Vector Matrix Multiplication for Low-Resolution Platforms. ISCAS 2024: 1-5 - [c33]Ben Walters, Zhengyu Cai, Hamid Rahimian Kalatehbali, Amirali Amirsoleimani, Roman Genov, Jason Eshraghian, Mostafa Rahimi Azghadi:
Spiking Auto-Encoder Using Error Modulated Spike Timing Dependant Plasticity. ISCAS 2024: 1-5 - [c32]Hao You, Jianxiong Xu, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov:
SAR-MemPipe: A Hybrid Pipeline-SAR Memristive ADC for Analog Resistive Arrays. ISCAS 2024: 1-5 - [c31]Demeng Chen, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov, Majid Ahmadi:
POD: PCM-Based Computing Platform for Object Detection in Biomedical Imaging Application. LASCAS 2024: 1-5 - [c30]Ellina Zhang, Jack Cai, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov, Majid Ahmadi:
Manhattan Rule for Robust In-Situ Training of Memristive Deep Neural Network Accelerators. MWSCAS 2024: 1324-1328 - [i39]Mostafa Rahimi Azghadi, Alex Olsen, Jake C. Wood, Alzayat Saleh, Brendan Calvert, Terry Granshaw, Emilie Fillols, Bronson Philippa:
Precise Robotic Weed Spot-Spraying for Reduced Herbicide Usage and Improved Environmental Outcomes - A Real-World Case Study. CoRR abs/2401.13931 (2024) - [i38]Gideon Vos, Maryam Ebrahimpour, Liza van Eijk, Zoltan Sarnyai, Mostafa Rahimi Azghadi:
Stress Monitoring Using Low-Cost Electroencephalogram Devices: A Systematic Literature Review. CoRR abs/2403.05577 (2024) - [i37]Alzayat Saleh, Alex Olsen, Jake C. Wood, Bronson Philippa, Mostafa Rahimi Azghadi:
ShadowRemovalNet: Efficient Real-Time Shadow Removal. CoRR abs/2403.08142 (2024) - [i36]Ethan Kane Waters
Sugarcane Health Monitoring With Satellite Spectroscopy and Machine Learning: A Review. CoRR abs/2404.16844 (2024) - [i35]Alzayat Saleh, Alex Olsen, Jake C. Wood, Bronson Philippa, Mostafa Rahimi Azghadi:
Semi-Supervised Weed Detection for Rapid Deployment and Enhanced Efficiency. CoRR abs/2405.07399 (2024) - [i34]Adrian Langley, Matthew Lonergan, Tao Huang, Mostafa Rahimi Azghadi:
Evolution and challenges of computer vision and deep learning technologies for analysing mixed construction and demolition waste. CoRR abs/2409.13112 (2024) - [i33]Alzayat Saleh, Melanie Olsen, Bouchra Senadji, Mostafa Rahimi Azghadi:
Learning from the Giants: A Practical Approach to Underwater Depth and Surface Normals Estimation. CoRR abs/2410.02072 (2024) - [i32]Ethan Kane Waters, Carla Chia-Ming Chen, Mostafa Rahimi Azghadi:
Machine Learning for Asymptomatic Ratoon Stunting Disease Detection With Freely Available Satellite Based Multispectral Imaging. CoRR abs/2410.03141 (2024) - 2023
- [j39]Mohammad Khaleqi Qaleh Jooq, Mostafa Rahimi Azghadi
High-Performance and Energy-Efficient Leaky Integrate-and-Fire Neuron and Spike Timing-Dependent Plasticity Circuits in 7nm FinFET Technology. IEEE Access 11: 133451-133459 (2023) - [j38]Xuening Dong, Louis Primeau, Roman Genov, Mostafa Rahimi Azghadi
Efficient Memristive Stochastic Differential Equation Solver. Adv. Intell. Syst. 5(8) (2023) - [j37]Ben Walters
A Review of Graphene-Based Memristive Neuromorphic Devices and Circuits. Adv. Intell. Syst. 5(10) (2023) - [j36]Jingjin Li
Security and privacy problems in voice assistant applications: A survey. Comput. Secur. 134: 103448 (2023) - [j35]Mohammad Jahanbakht, Mostafa Rahimi Azghadi, Nathan J. Waltham:
Semi-supervised and weakly-supervised deep neural networks and dataset for fish detection in turbid underwater videos. Ecol. Informatics 78: 102303 (2023) - [j34]Zhengyu Cai, Hamid Rahimian Kalatehbali, Ben Walters
Spike Timing Dependent Gradient for Direct Training of Fast and Efficient Binarized Spiking Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1083-1093 (2023) - [j33]Gideon Vos, Kelly Trinh
Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review. Int. J. Medical Informatics 173: 105026 (2023) - [j32]Gideon Vos
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices. J. Biomed. Informatics 148: 104556 (2023) - [j31]Chenqi Li, Corey Lammie, Amirali Amirsoleimani, Mostafa Rahimi Azghadi
Simulation of memristive crossbar arrays for seizure detection and prediction using parallel Convolutional Neural Networks. Softw. Impacts 15: 100473 (2023) - [c29]Zhengyu Cai, Hamid Rahimian Kalatehbali, Ben Walters
STDG: Fast and Lightweight SNN Training Technique Using Spike Temporal Locality. BioCAS 2023: 1-5 - [c28]Hao You, Jianxiong Xu, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov:
MEDSA: A Memristive-passive Delta-Sigma ADC Circuit for Detecting Neural Signals. BioCAS 2023: 1-5 - [c27]Shuangming Yang, Haowen Wang, Mostafa Rahimi Azghadi:
Evolutionary Optimization of Neuromorphic Architecture for Low-power Cerebellum Prosthetic Instrumentation and Device in Biomedical Systems. I2MTC 2023: 1-6 - [c26]Tim Zhang, Amirali Amirsoleimani, Jason K. Eshraghian, Mostafa Rahimi Azghadi, Roman Genov, Yu Xia
SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction. ISCAS 2023: 1-5 - [i31]Jingjin Li, Chao Chen, Lei Pan, Mostafa Rahimi Azghadi, Hossein Ghodosi, Jun Zhang:
Security and Privacy Problems in Voice Assistant Applications: A Survey. CoRR abs/2304.09486 (2023) - [i30]Alzayat Saleh, Md. Mehedi Hasan, Herman W. Raadsma, Mehar S. Khatkar, Dean R. Jerry, Mostafa Rahimi Azghadi:
Prawn Morphometrics and Weight Estimation from Images using Deep Learning for Landmark Localization. CoRR abs/2307.07732 (2023) - [i29]Tao Huang, Jianan Liu, Xi Zhou, Dinh C. Nguyen, Mostafa Rahimi Azghadi, Yuxuan Xia, Qing-Long Han, Sumei Sun:
V2X Cooperative Perception for Autonomous Driving: Recent Advances and Challenges. CoRR abs/2310.03525 (2023) - [i28]Alzayat Saleh, Alex Olsen, Jake C. Wood, Bronson Philippa
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets. CoRR abs/2310.12465 (2023) - 2022
- [j30]Mohammad Jahanbakht
Distributed Deep Learning and Energy-Efficient Real-Time Image Processing at the Edge for Fish Segmentation in Underwater Videos. IEEE Access 10: 117796-117807 (2022) - [j29]Corey Lammie
Modeling and simulating in-memory memristive deep learning systems: An overview of current efforts. Array 13: 100116 (2022) - [j28]Mohammad Jahanbakht
Nitrogen prediction in the Great Barrier Reef using finite element analysis with deep neural networks. Environ. Model. Softw. 150: 105311 (2022) - [j27]Corey Lammie
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. Neurocomputing 485: 124-133 (2022) - [j26]Mohammad Jahanbakht
Sea Surface Temperature Forecasting With Ensemble of Stacked Deep Neural Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j25]Mohammad Jahanbakht
Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis. Neural Networks 152: 311-321 (2022) - [j24]Chenqi Li
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. IEEE Trans. Biomed. Circuits Syst. 16(4): 609-625 (2022) - [j23]Shuangming Yang
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4398-4412 (2022) - [j22]Shuangming Yang
Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7126-7140 (2022) - [c25]Jason Kamran Eshraghian
Navigating Local Minima in Quantized Spiking Neural Networks. AICAS 2022: 352-355 - [c24]Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov:
In-Memory Memristive Transformation Stage of Gaussian Random Number Generator. COINS 2022: 1-5 - [c23]Corey Lammie, Jason Kamran Eshraghian
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. ISCAS 2022: 1107-1111 - [c22]Tim Zhang, Corey Lammie
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. MWSCAS 2022: 1-4 - [i27]Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi:
Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. CoRR abs/2201.06703 (2022) - [i26]Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu:
Navigating Local Minima in Quantized Spiking Neural Networks. CoRR abs/2202.07221 (2022) - [i25]Alzayat Saleh, Marcus Sheaves, Mostafa Rahimi Azghadi:
Computer Vision and Deep Learning for Fish Classification in Underwater Habitats: A Survey. CoRR abs/2203.06951 (2022) - [i24]Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov:
Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation. CoRR abs/2205.06514 (2022) - [i23]Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi:
Transformer-based Self-Supervised Fish Segmentation in Underwater Videos. CoRR abs/2206.05390 (2022) - [i22]Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi:
Applications of Deep Learning in Fish Habitat Monitoring: A Tutorial and Survey. CoRR abs/2206.05394 (2022) - [i21]Chenqi Li, Corey Lammie, Xuening Dong, Amirali Amirsoleimani, Mostafa Rahimi Azghadi, Roman Genov:
Seizure Detection and Prediction by Parallel Memristive Convolutional Neural Networks. CoRR abs/2206.09951 (2022) - [i20]Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi:
Unsupervised Fish Trajectory Tracking and Segmentation. CoRR abs/2208.10662 (2022) - [i19]Alzayat Saleh, David Jones
A lightweight Transformer-based model for fish landmark detection. CoRR abs/2209.05777 (2022) - [i18]Gideon Vos, Kelly Trinh, Zoltan Sarnyai, Mostafa Rahimi Azghadi:
Machine Learning for Stress Monitoring from Wearable Devices: A Systematic Literature Review. CoRR abs/2209.15137 (2022) - [i17]Gideon Vos, Kelly Trinh, Zoltan Sarnyai, Mostafa Rahimi Azghadi:
Ensemble Machine Learning Model Trained on a New Synthesized Dataset Generalizes Well for Stress Prediction Using Wearable Devices. CoRR abs/2209.15146 (2022) - [i16]Alzayat Saleh, Marcus Sheaves, Dean R. Jerry, Mostafa Rahimi Azghadi:
Adaptive Uncertainty Distribution in Deep Learning for Unsupervised Underwater Image Enhancement. CoRR abs/2212.08983 (2022) - 2021
- [j21]Akram Mustafa
Automated Machine Learning for Healthcare and Clinical Notes Analysis. Comput. 10(2): 24 (2021) - [j20]Mohammad Jahanbakht
Internet of Underwater Things and Big Marine Data Analytics - A Comprehensive Survey. IEEE Commun. Surv. Tutorials 23(2): 904-956 (2021) - [j19]Corey Lammie
Memristive Stochastic Computing for Deep Learning Parameter Optimization. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1650-1654 (2021) - [j18]Alzayat Saleh
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. IEEE J. Biomed. Health Informatics 25(10): 3865-3873 (2021) - [c21]Corey Lammie, Wei Xiang
Towards Memristive Deep Learning Systems for Real-Time Mobile Epileptic Seizure Prediction. ISCAS 2021: 1-5 - [i15]Corey Lammie
Towards Memristive Deep Learning Systems for Real-time Mobile Epileptic Seizure Prediction. CoRR abs/2102.08555 (2021) - [i14]Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi:
Memristive Stochastic Computing for Deep Learning Parameter Optimization. CoRR abs/2103.06506 (2021) - [i13]Alzayat Saleh, Issam H. Laradji, Corey Lammie, David Vázquez, Carol A. Flavell, Mostafa Rahimi Azghadi:
A Deep Learning Localization Method for Measuring Abdominal Muscle Dimensions in Ultrasound Images. CoRR abs/2109.14919 (2021) - 2020
- [j17]Mostafa Rahimi Azghadi
Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing. Adv. Intell. Syst. 2(5): 1900189 (2020) - [j16]Mostafa Rahimi Azghadi
Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing. Adv. Intell. Syst. 2(5): 2070050 (2020) - [j15]Milad Almasi, Gholamreza Karimi, Mahnaz Ranjbar, Mostafa Rahimi Azghadi:
New analogue stop-learning control module using astrocyte for neuromorphic learning. IET Circuits Devices Syst. 14(1): 100-106 (2020) - [j14]Mostafa Rahimi Azghadi
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. IEEE Trans. Biomed. Circuits Syst. 14(6): 1138-1159 (2020) - [j13]Hajar Asgari
Low-Energy and Fast Spiking Neural Network For Context-Dependent Learning on FPGA. IEEE Trans. Circuits Syst. 67-II(11): 2697-2701 (2020) - [c20]Jason Eshraghian, Corey Lammie
Biologically Plausible Contrast Detection using a Memristor Array. ISCAS 2020: 1-5 - [c19]Moslem Heidarpur, Arash Ahmadi, Majid Ahmadi, Mostafa Rahimi Azghadi:
CORDIC-SNN: On-FPGA STDP Learning with Izhikevich Neurons. ISCAS 2020: 1 - [c18]Corey Lammie, Mostafa Rahimi Azghadi:
Live Demonstration: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. ISCAS 2020: 1 - [c17]Corey Lammie
MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures. ISCAS 2020: 1-5 - [c16]Corey Lammie
Training Progressively Binarizing Deep Networks using FPGAs. ISCAS 2020: 1-5 - [i12]Corey Lammie
Training Progressively Binarizing Deep Networks Using FPGAs. CoRR abs/2001.02390 (2020) - [i11]Corey Lammie
MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems. CoRR abs/2004.10971 (2020) - [i10]Mostafa Rahimi Azghadi, Corey Lammie
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. CoRR abs/2007.05657 (2020) - [i9]Issam H. Laradji, Alzayat Saleh
Affinity LCFCN: Learning to Segment Fish with Weak Supervision. CoRR abs/2011.03149 (2020) - [i8]Mohammad Jahanbakht, Wei Xiang, Lajos Hanzo, Mostafa Rahimi Azghadi:
Internet of Underwater Things and Big Marine Data Analytics - A Comprehensive Survey. CoRR abs/2012.06712 (2020)
2010 – 2019
- 2019
- [j12]Corey Lammie
Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge. IEEE Access 7: 51171-51184 (2019) - [j11]Corey Lammie
Efficient FPGA Implementations of Pair and Triplet-Based STDP for Neuromorphic Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(4): 1558-1570 (2019) - [j10]Moslem Heidarpur
CORDIC-SNN: On-FPGA STDP Learning With Izhikevich Neurons. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(7): 2651-2661 (2019) - [j9]Sara Hashemi, Mostafa Rahimi Azghadi, Keivan Navi:
Design and analysis of efficient QCA reversible adders. J. Supercomput. 75(4): 2106-2125 (2019) - [c15]Corey Lammie
Variation-aware Binarized Memristive Networks. ICECS 2019: 490-493 - [c14]Corey Lammie
Stochastic Computing for Low-Power and High-Speed Deep Learning on FPGA. ISCAS 2019: 1-5 - [c13]Corey Lammie
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL. MWSCAS 2019: 626-629 - [i7]Corey Lammie, Wei Xiang, Mostafa Rahimi Azghadi:
Accelerating Deterministic and Stochastic Binarized Neural Networks on FPGAs Using OpenCL. CoRR abs/1905.06105 (2019) - [i6]Corey Lammie, Olga Krestinskaya, Alex Pappachen James, Mostafa Rahimi Azghadi:
Variation-aware Binarized Memristive Networks. CoRR abs/1910.05920 (2019) - 2018
- [c12]Corey Lammie
Live Demonstration: Unsupervised Character Recognition with a FPGA Neuromorphic System. ISCAS 2018: 1- - [c11]Corey Lammie
Unsupervised Character Recognition with a Simplified FPGA Neuromorphic System. ISCAS 2018: 1-5 - [i5]Alex Olsen, Dmitry A. Konovalov, Bronson Philippa, Peter Ridd, Jake C. Wood, Jamie Johns, Wesley Banks, Benjamin Girgenti, Owen Kenny, James Whinney, Brendan Calvert, Mostafa Rahimi Azghadi, Ronald D. White:
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning. CoRR abs/1810.05726 (2018) - 2017
- [j8]Cong Nguyen Dao, Abdallah El Kass, Mostafa Rahimi Azghadi, Craig T. Jin, Jonathan Scott, Philip Heng Wai Leong
An enhanced MOSFET threshold voltage model for the 6-300 K temperature range. Microelectron. Reliab. 69: 36-39 (2017) - [j7]Mostafa Rahimi Azghadi
A Hybrid CMOS-Memristor Neuromorphic Synapse. IEEE Trans. Biomed. Circuits Syst. 11(2): 434-445 (2017) - 2015
- [j6]Samira Sayedsalehi
Restoring and non-restoring array divider designs in Quantum-dot Cellular Automata. Inf. Sci. 311: 86-101 (2015) - [j5]Mostafa Rahimi Azghadi, Saber Moradi
Programmable Spike-Timing-Dependent Plasticity Learning Circuits in Neuromorphic VLSI Architectures. ACM J. Emerg. Technol. Comput. Syst. 12(2): 17:1-17:18 (2015) - 2014
- [j4]Mostafa Rahimi Azghadi, Nicolangelo Iannella
Spike-Based Synaptic Plasticity in Silicon: Design, Implementation, Application, and Challenges. Proc. IEEE 102(5): 717-737 (2014) - 2013
- [j3]Mostafa Rahimi Azghadi, Said F. Al-Sarawi
A neuromorphic VLSI design for spike timing and rate based synaptic plasticity. Neural Networks 45: 70-82 (2013) - [c10]Mostafa Rahimi Azghadi, Said F. Al-Sarawi
Pairing frequency experiments in visual cortex reproduced in a neuromorphic STDP circuit. ICECS 2013: 229-232 - [c9]Mostafa Rahimi Azghadi, Saber Moradi
Programmable neuromorphic circuits for spike-based neural dynamics. NEWCAS 2013: 1-4 - [c8]Mostafa Rahimi Azghadi, Said F. Al-Sarawi
A new compact analog VLSI model for Spike Timing Dependent Plasticity. VLSI-SoC 2013: 7-12 - [i4]Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Derek Abbott, Nicolangelo Iannella:
A Neuromorphic VLSI Design for Spike Timing and Rate Based Synaptic Plasticity. CoRR abs/1304.0090 (2013) - 2012
- [c7]Mostafa Rahimi Azghadi, Said F. Al-Sarawi
Design and implementation of BCM rule based on spike-timing dependent plasticity. IJCNN 2012: 1-7 - [c6]Mostafa Rahimi Azghadi, Said F. Al-Sarawi
Efficient design of triplet based Spike-Timing Dependent Plasticity. IJCNN 2012: 1-7 - [i3]Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Nicolangelo Iannella, Derek Abbott:
Efficient Design of Triplet Based Spike-Timing Dependent Plasticity. CoRR abs/1204.1706 (2012) - [i2]Mostafa Rahimi Azghadi, Said F. Al-Sarawi, Nicolangelo Iannella, Derek Abbott:
Design and Implementation of BCM Rule Based on Spike-Timing Dependent Plasticity. CoRR abs/1204.1840 (2012) - [i1]Mostafa Rahimi Azghadi, Omid Kavehei, Keivan Navi:
A Novel Design for Quantum-dot Cellular Automata Cells and Full Adders. CoRR abs/1204.2048 (2012) - 2010
- [j2]Keivan Navi, Razieh Farazkish, Samira Sayedsalehi
A new quantum-dot cellular automata full-adder. Microelectron. J. 41(12): 820-826 (2010)
2000 – 2009
- 2009
- [j1]Keivan Navi, Vahid Foroutan, Mostafa Rahimi Azghadi, Mehrdad Maeen, Maryam Ebrahimpour, M. Kaveh, Omid Kavehei
A novel low-power full-adder cell with new technique in designing logical gates based on static CMOS inverter. Microelectron. J. 40(10): 1441-1448 (2009) - 2008
- [c5]Nasim Kazemifard, Maryam Ebrahimpour, Mostafa Rahimi Azghadi, Mohammad A. Tehrani, Keivan Navi:
Performance evaluation of In-Circuit Testing on QCA based circuits. EWDTS 2008: 375-378 - [c4]Omid Kavehei
Design of Robust and High-Performance 1-Bit CMOS Full Adder for Nanometer Design. ISVLSI 2008: 10-15 - [c3]Mostafa Rahimi Azghadi, Mohammad Reza Bonyadi, Sara Hashemi, Mohsen Ebrahimi Moghaddam:
A hybrid multiprocessor task scheduling method based on immune genetic algorithm. QSHINE 2008: 56 - 2007
- [c2]Mohammad Reza Bonyadi, Mostafa Rahimi Azghadi, Hamed Shah-Hosseini:
Solving Traveling Salesman Problem Using Combinational Evolutionary Algorithm. AIAI 2007: 37-44 - [c1]Mostafa Rahimi Azghadi, Mohammad Reza Bonyadi, Hamed Shah-Hosseini:
Gender Classification Based on FeedForward Backpropagation Neural Network. AIAI 2007: 299-304
Coauthor Index
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last updated on 2024-11-26 20:46 CET by the dblp team
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