Mahsa Shoaran
Orcid: 0000-0002-6426-4799
According to our database1,
Mahsa Shoaran
authored at least 44 papers
between 2012 and 2024.
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Bibliography
2024
33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes.
Proceedings of the IEEE International Solid-State Circuits Conference, 2024
2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
A 0.21-ps FOM Capacitor-Less Analog LDO with Dual-Range Load Current for Biomedical Applications.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023
2022
NeuralTree: A 256-Channel 0.227-μJ/Class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC.
IEEE J. Solid State Circuits, 2022
A 16-Channel Low-Power Neural Connectivity Extraction and Phase-Locked Deep Brain Stimulation SoC.
CoRR, 2022
NeuralTree: A 256-Channel 0.227μJ/class Versatile Neural Activity Classification and Closed-Loop Neuromodulation SoC.
CoRR, 2022
Identifying uncertainty states during wayfinding in indoor environments: An EEG classification study.
Adv. Eng. Informatics, 2022
A 256-Channel 0.227µJ/class Versatile Brain Activity Classification and Closed-Loop Neuromodulation SoC with 0.004mm<sup>2</sup>-1.51 µW/channel Fast-Settling Highly Multiplexed Mixed-Signal Front-End.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022
A 16-Channel 60µW Neural Synchrony Processor for Multi-Mode Phase-Locked Neurostimulation.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2022
An Accurate and Hardware-Efficient Dual Spike Detector for Implantable Neural Interfaces.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2022
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
A Low Power Multi-Class Migraine Detection Processor Based on Somatosensory Evoked Potentials.
IEEE Trans. Circuits Syst. II Express Briefs, 2021
Closed-Loop Neural Prostheses With On-Chip Intelligence: A Review and a Low-Latency Machine Learning Model for Brain State Detection.
IEEE Trans. Biomed. Circuits Syst., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Unsupervised Domain Adaptation for Cross-Subject Few-Shot Neurological Symptom Detection.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
An 8.7 μJ/class. FFT accelerator and DNN-based configurable SoC for Multi-Class Chronic Neurological Disorder Detection.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021
2020
IEEE Trans. Biomed. Circuits Syst., 2020
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Neural variability quenching during decision-making: Neural individuality and its prestimulus complexity.
NeuroImage, 2019
Hardware Complexity Analysis of Deep Neural Networks and Decision Tree Ensembles for Real-time Neural Data Classification.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the 2019 IEEE Biomedical Circuits and Systems Conference, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
IEEE Trans. Circuits Syst. I Regul. Pap., 2018
IEEE J. Emerg. Sel. Topics Circuits Syst., 2018
Towards Adaptive Deep Brain Stimulation in Parkinson'S Disease: Lfp-Based Feature Analysis and Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Resting Tremor Detection in Parkinson's Disease with Machine Learning and Kalman Filtering.
Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018
2016
A 16-channel 1.1mm<sup>2</sup> implantable seizure control SoC with sub-μW/channel consumption and closed-loop stimulation in 0.18µm CMOS.
Proceedings of the 2016 IEEE Symposium on VLSI Circuits, 2016
Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition.
Proceedings of the 26th edition on Great Lakes Symposium on VLSI, 2016
Hardware-friendly seizure detection with a boosted ensemble of shallow decision trees.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Analysis and Characterization of Variability in Subthreshold Source-Coupled Logic Circuits.
IEEE Trans. Circuits Syst. I Regul. Pap., 2015
IEEE Trans. Circuits Syst. II Express Briefs, 2015
Jitter analysis and measurement in subthreshold source-coupled differential ring oscillators.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015
2014
Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition.
IEEE Trans. Biomed. Circuits Syst., 2014
Tunnel FET-based ultra-low power, low-noise amplifier design for bio-signal acquisition.
Proceedings of the International Symposium on Low Power Electronics and Design, 2014
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
A novel compressive sensing architecture for high-density biological signal recording.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2014
2013
A low-power area-efficient compressive sensing approach for multi-channel neural recording.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Design techniques and analysis of high-resolution neural recording systems targeting epilepsy focus localization.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012