Publications
JOURNAL PUBLICATIONS
- Srivatsav, M., Chakrabartty, S. & Thakur,C. S. Neuromorphic computing with aer using time-to-event-margin propagation (2023). arXiv:2304.13918
- Ramdas Nair, A., Nath, P. K., Chakrabartty, S., & Singh Thakur, C. (2023). Multiplierless In-filter Computing for tinyML Platforms. arXiv e-prints, arXiv-2304.
- Mangalwedhekar, R., Singh, N., Thakur, C.S. et al. Achieving nanoscale precision using neuromorphic localization microscopy. Nat. Nanotechnol. (2023). https://doi.org/10.1038/s41565-022-01291-1
- S. S. Yadav, R. Agarwal, K. Bharath, S. Rao and C. S. Thakur, “tinyRadar for Fitness: A Contactless Framework for Edge Computing,” in IEEE Transactions on Biomedical Circuits and Systems, doi: 10.1109/TBCAS.2023.3244240.
- P. Kumar, A. Nandi, S. Chakrabartty and C. S. Thakur, Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 10.1109/JETCAS.2023.3234570
- P. Kumar, A. Nandi, S. Chakrabartty and C. S. Thakur, “Process, Bias, and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning,” in IEEE Transactions on Circuits and Systems I: Regular Papers, 2022, doi: 10.1109/TCSI.2022.3216287.
- Annamalai, L., & Thakur, C. S. (2022). Theroretical Insight into Batch Normalization: Data Dependant Auto-Tuning of Regularization Rate. arXiv preprint arXiv:2209.07587.
- S. C. G. Kiruba Daniel et al., “Handheld, Low-Cost, Aptamer-Based Sensing Device for Rapid SARS-CoV-2 RNA Detection Using Novelly Synthesized Gold Nanoparticles,” in IEEE Sensors Journal, vol. 22, no. 19, pp. 18437-18445, 1 Oct.1, 2022, doi: 10.1109/JSEN.2022.3196598.
- A. R. Nair, P. K. Nath, S. Chakrabartty and C. S. Thakur, “Multiplierless MP-Kernel Machine For Energy-Efficient Edge Devices,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2022
- Singhal, U., Kalipatnapu, S., Majumder, S., Pabbisetty, V. V. L., Jandhyala, S., Singh, V., & Thakur, C. S. Generation of control signals using second-Nyquist zone technique for superconducting qubit devices. arXiv:2203.01523.
- L. Annamalai, V. Ramanathan, C.S. Thakur, “Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data“. in IEEE Robotics and Automation Letters.
- P. Kumar, K. Zhu, X. Gao, S. Wang, M. Lanza, C.S. Thakur, “Hybrid architecture based on two-dimensional memristor crossbar array and CMOS integrated circuit for edge computing“, npj 2D Materials and Applications, Nature.
- A.R. Nair, S. Chakrabartty, C.S. Thakur, “In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers“, IEEE Internet of Things (IoT) Journal.
- T. Paul, A. Mukundan, K.K. Tiwari, A. Ghosh and C.S. Thakur, “Demonstration of intrinsic STDP learning capability in all-2D multi-state MoS2memory and its application in modelling neuromorphic speech recognition” 2D Materials, DOI:10.1088/2053-1583/ac210a.
- Lakshmi A., Chakraborty A., Thakur C. S., “EvAn: Neuromorphic Event-based Anomaly Detection“. Frontiers in Neuroscience. DOI:10.3389/fnins.2021.699003.
- A. Krishna, André van Schaik, C.S. Thakur, “FPGA Implementation of Particle Filters for Robotic Source Localization” IEEE Access.
- J. L. Molin, E. Niebur, R. Etienne-Cummings, C.S. Thakur, “A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with a Hybrid FPGA Implementation” IEEE Transactions on Biomedical Circuits and Systems, doi: 10.1109/TBCAS.2021.3089622.
- S. Gupta, S. Chakraborty, C. S. Thakur, “Neuromorphic Time-Multiplexed Reservoir Computing With On-the-Fly Weight Generation for Edge Devices“. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), doi: 10.1109/TNNLS.2021.3085165.
- Ying Xu, S.Afshar, R. Wang, G. Cohen, C. S. Thakur, T. J. Hamilton, A. van Schaik, “A Biologically Inspired Sound Localisation System Using a Silicon Cochlea Pair“. Applied Sciences (MDPI).
- A.Krishna, D. Mittal, S.G. Virupaksha, A.R. Nair, R. Narayanan, C.S. Thakur, “Biomimetic FPGA-based Spatial Navigation Model with Grid cells and Place cells“. Neural Networks (Elsevier)
- A.R. Mangalore, C.S. Seelamantula, C.S. Thakur, “Neuromorphic Fringe Projection Profilometry” “Supplementary Paper“. IEEE Signal Processing Letters
- A. Krishna, S. Rudresh, V. Shaw, H. R. Sabbella, C. S. Seelamantula, C. S. Thakur, “Unlimited Dynamic Range Analog-to-Digital Conversion” . arXiv:1911.09371.
- Gupta S, Kumar P, Paul T, van Schaik A, Ghosh A, Thakur C S, “Low Power, CMOS-MoS2 Memtransistor based Neuromorphic Hybrid Architecture for Wake-Up Systems“. Scientific Reports (Nature Group)
- Nazreen P.M., S. Chakrabartty S., Thakur C.S. “Multiplierless and Sparse Machine Learning based on Margin Propagation Networks“. arXiv:1910.02304
- Zhang J, Newman J P, Thakur C. S., Wang X, Rattray J, R. Etienne-Cummings, M Wilson, “A closed-loop all-electronic pixel-wise adaptive imaging system for high dynamic range video“. IEEE Transactions on Circuits and Systems I (TCAS-I)
- Tathagata Paul, Tanweer Ahmed, Krishna Kanhaiya Tiwari, Chetan Singh Thakur, Arindam Ghosh “A high-performance MoS2 synaptic device with floating gate engineering for Neuromorphic Computing“. 2D Material (IOP Science).
- Lakshmi A., Chakraborty A., Thakur C. S. Neuromorphic Vision: Sensors to Event-based Algorithms. Wiley -Wires Interdisciplinary Reviews: Data Mining and Knowledge Discovery, DOI:10.1002/widm.1310.
- Daniel S C G, Kumar A, Sivasakthi K, Thakur C. S. Handheld, Low-Cost Electronic Device For Rapid, Real-Time Fluorescence-Based Detection Of Hg2+, Using Aptamer-Templated ZnO Quantum Dots. Sensors and Actuators B: Elsevier
- Thakur C. S., Jamal Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings . Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain. Frontiers in Neuroscience.
- Wang, R., Thakur, C. S., van Schaik, A. An FPGA-based Massively Parallel Neuromorphic Cortex Simulator. Frontiers in Neuroscience.
- Ying Xu, Thakur, C. S., Hamilton, Wang, R., van Schaik, A. An FPGA Implementation of the CAR-FAC Cochlear Model. Frontiers in neuroscience
- Xiong T, Zhang J, C. Martinez-Rubio, Thakur, C. S., et al . An Unsupervised Compressed Sensing Algorithm for Multi-Channel Neural Recording and Spike Sorting. Transactions on Neural Systems & Rehabilitation Engineering
- Thakur, C. S., Wang, R., Hamilton, T. J., Tapson, J., R. Etienne-Cummings & van Schaik, A. An Analogue Neuromorphic Co-processor that Utilises Device Mismatch for Learning Applications. IEEE Transactions on Circuits and Systems I (TCAS-I)
- Thakur, C. S., Afshar, S., Wang, R. M., Hamilton, T. J., Tapson, J., & van Schaik, A. Bayesian Estimation and Inference Using Stochastic Electronics. Frontiers in neuroscience.
- Thakur, C. S., Wang, R., Hamilton, T. J., Tapson, J.,& van Schaik, A. A Low Power Trainable Neuromorphic Integrated Circuit that is Tolerant to Device Mismatch. IEEE Transactions on Circuits and Systems I: Regular Papers, 63(2), 211-221.
- Wang, R., Thakur, C. S., et al. A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition. IEEE Transactions on Biomedical Circuit and System (TBioCAS).
- Afshar, S., Thakur, C. S., et al. Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. IEEE Transactions on Biomedical Circuits and Systems (TBioCAS).
- Thakur, C. S., Wang, R., Hamilton, T. J., Tapson, J.,& van Schaik, A. An Online Learning Algorithm for Neuromorphic Hardware Accelerators.
- Thakur, C. S., Wang, R. M., Afshar, S., Hamilton, T. J., Tapson, J. C., Shamma, S. A., & van Schaik, A. Sound stream segregation: a neuromorphic approach to solve the “cocktail party problem” in real-time. Frontiers in Neuroscience.
CONFERENCE PUBLICATIONS
- H.R. Sabbella, A.R. Nair, V. Gumme, S.S. Yadav, S. Chakrabartty, C.S. Thakur, “An Always-On tinyML Acoustic Classifier for Ecological Applications,“ IEEE International Symposium on Circuits and Systems (ISCAS), 2022.
- S.S. Yadav, R. Agarwal, K. Bharath, S. Rao, C.S. Thakur, “tinyRadar: mmWave Radar based Human Activity Classification for Edge Computing,“ IEEE International Symposium on Circuits and Systems (ISCAS), 2022.
- Y. Bethi, S. Narayanan, V. Rangan, A. Chakraborty, C.S. Thakur, “Real-Time Object Detection and Localization in Compressive Sensed Video“. IEEE International Conference on Image Processing (ICIP), 2021.
- A. Krishna, C.S. Thakur, “Bayesian Source Localization using Stochastic Computation“. IEEE International Symposium on Circuits and Systems (ISCAS), 2021.
- A.B. Ayub, P.K. Nath, V.Rangan, C.S. Thakur, “FPGA based Compressive Sensing Framework for Video Compression on Edge Devices“. VLSI Design And Test (V-DAT), 2020
- A.T. Tharakan, D. Bhaskar, C.S. Thakur, “Implementation of Bayesian Fly Tracking Model using Analog Neuromorphic Circuits“. IEEE International Symposium on Circuits and Systems (ISCAS), 2020.
- Zhang J, Khalifa A, Spetalnick S, Milad A, Rattray J, Thakur C. S., A Eisape, R. Etienne-Cummings, “A Miniature Wireless Silicon-on-Insulator Image Sensor for Brain Fluorescence Imaging” IEEE Engineering in Medicine and Biology Society (EMBC), 2020.
- Vignesh Ramanathan, Pritesh Dwivedi, Katabathuni Bharath, Anirban Chakraborty, Chetan Singh Thakur, ” QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware ” 2020 Winter Conference on Applications of Computer Vision (WACV ’20)
- S. Narayanan, Y. Bethi, Thakur, C. S, “A Compressive Sensing Video dataset using Pixel-wise coded exposure” arXiv:1905.10054.
- A. G. Mahurkar, P. K. Pokala, C. S. Thakur, and C. S. Seelamantula, “SAMIR: Sparsity amplified iteratively-reweighted beamforming for high-resolution ultrasound imaging,”Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, 2019.
- P. Kumar, A. R. Nair, O. Chatterjee, T. Paul, A. Ghosh, S. Chakrabartty, C. S. Thakur, “Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines.” IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2019.
- S. K. Gupta, K. Kumar, C. Seelamantula, Thakur C. S., “A Portable Ultrasound Imaging System Utilizing Deep Generative Learning-Based Compressive Sensing On Pre-Beamformed RF Signals” IEEE Engineering in Medicine and Biology Society (EMBC), 2019.
- Raghunath, K. P., Sagar, K. M., Gokulan, T., Kumar, K., Thakur, C. S. “ASIC Based LVDT Signal Conditioner for High-Accuracy Measurements.“ In International Symposium on VLSI Design and Test (pp. 385-397). Springer, Singapore. July, 2019.
- B. R. Pradhan, Y. Bethi, S. Narayanan, A. Chakraborty, Thakur, C. S, “n-HAR: A Neuromorphic Event-Based Human Activity Recognition System Using Memory Surfaces“. IEEE International Symposium on Circuits and Systems (ISCAS), 2019.
- A. Tripathi, M. Arabizadeh, S. Khandelwal, Thakur, C. S, “Analog Neuromorphic System based on Multi Input Floating Gate MOS Neuron Model“. IEEE International Symposium on Circuits and Systems (ISCAS), 2019.
- R. Sharma, S. Gupta, K. Kumar, P. Kumar, Thakur, C. S, “Real-Time Image Segmentation Using Neuromorphic Pixel Array“. IEEE International Symposium on Circuits and Systems (ISCAS), 2019.
- S.Gupta, P. Kumar, K. Kumar, S. Chakraborty, Thakur, C. S, “Low Power Neuromorphic Analog System based on Sub-Threshold Current Mode Circuits“.IEEE International Symposium on Circuits and Systems (ISCAS), 2019.
- Chakraborty S, P. Priyanka, Gupta S, Afshar S, Hamilton T, Thakur C S, “Neuromorphic Object Tracking Architecture Based on Compound Eye on FPGA” IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2018.
- T. Xiong, J. Rattray, J. Zhang, Thakur, C. S., S. Chin, T. Tran, R. Etienne-Cummings, “Spatiotemporal Compressed Sensing for Video Compression“ IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2017.
- Thakur, C. S., L. Molin, T. Xiong, J. Zhang, E. Niebur, R. Etienne-Cummings, “Neuromorphic Visual Saliency Implementation Using Stochastic Computation,” IEEE International Symposium on Circuits and Systems (ISCAS), 2017.
- L. Molin, A. Eisape, Thakur, C. S., V. Varghese, C. Brandli, R. Etienne-Cummings, “Low-power, low-mismatch, highly-dense, array of vlsimihalas-niebur neurons,“ IEEE International Symposium on Circuits and Systems (ISCAS), 2017.
- Thakur, C. S., L. Molin, R. Etienne-Cummings, “Real-time image segmentation using a spiking neuromorphic processor,” Information Sciences and Systems (CISS), 2017 51st Annual Conference on, IEEE, 2017.
- Thakur, C. S., L. Molin, A. V. Schaik, R. Etienne-Cummings, “Inference in Spiking Bayesian Neurons using Stochastic Computation,” Information Sciences and Systems (CISS), 2017 51st Annual Conference on, IEEE, 2017.
- Wang, R., Thakur, C. S., et al. (2016) A Stochastic Approach to STDP learning. IEEE International Symposium on Circuits and Systems (ISCAS 2016).
- Xu, Y, Thakur, C. S., et al. (2016) Electronic Cochlea: Car-FAC Model on FPGA. IEEE Biomedical Circuits and Systems Conference (BioCAS 2016).
- Wang, R., Thakur, C. S., et al. (2016) An SRAM-Based Implementation of a Convolutional Neural Network. IEEE Biomedical Circuits and Systems Conference (BioCAS 2016).
- Xu, Y., Thakur, C. S., et al. (2015) A Reconfigurable Mixed-signal Implementation of Neuromorphic ADC. IEEE Biomedical Circuits and Systems Conference (BioCAS).
- Wang, R., Thakur, C. S., et al. (2015) A compact aVLSI conductance-based silicon neuron. IEEE Biomedical Circuits and Systems Conference (BioCAS 2015).
- Thakur, C. S., et al. (2015) A neuromorphic hardware framework based on population coding. IEEE International Joint Conference on Neural Networks (IJCNN).
- Thakur, C. S., et al. (2014) FPGA Implementation of the CAR Model of Cochlea. IEEE International Symposium on Circuits and Systems (ISCAS).
- Thakur, C. S., Hamilton, T. J., Tapson, J.,& van Schaik, A. (2015) Bayesian inference in spiking networks using stochastic hardware. NeuroEng 2015: 8th Australasian Workshop on Computational Neuroscience and Neuromorphic Engineering.
- Wang, R. M., Thakur, C. S., Hamilton, T. J., Tapson, J., van Schaik, A. (2015) A Cognitive Computing Ecosystem using the Neural Engineering Framework. NeuroEng 2015: 8th Australasian Workshop on Computational Neuroscience and Neuromorphic Engineering.
- Thakur, C. S., Wright J., Hamilton, T. J., Tapson, J., van Schaik, A. (2014) Digital Implementation of CAR-FAC: a Neuromorphic Model of the Human Cochlea. NeuroEng 2014: 7th Australian Workshop on Computational Neuroscience.
- Thakur, C. S., van Schaik, A., Tapson, J., Hamilton, T. J. (2013) Implementation of ELM Using a Stochastic Digital Architecture. Proceedings of the 11th Biennial Engineering Mathematics and Applications Conference, EMAC-2013.
BOOK CHAPTERS
1. Chakrabartty, S., Raman, B., Thakur, C. S. (2022), “Sensing-to-learn and Learning-to-sense: Principles for designing neuromorphic sensors“, Handbook of Neuroengineering , In: Thakor N.V. (eds) Handbook of Neuroengineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-2848-4_122-1.
PATENTS
- Thakur, C. S., Chakraborty, A., Narayanan, S., Pradhan, B. R., “Method and System for Recognizing Activities in Surrounding Environment for Controlling Navigation of Autonomous Vehicle”, IP is filed in India and USA .
- Thakur, C. S., Chakrabartty, S., Nair, A.R., “Method and System for Designing a Multiplierless Kernel Machine for Energy Efficient Edge Devices“, Provisional Indian IP Filed.
- Thakur, C. S., Seelamantula C., Shaw V, Krishnan A., R. Sunil., “Unlimited Dynamic Range Analogue – to– Digital Converters”, Provisional Indian IP Filed.
- S C G Kiruba Daniel, Neeraja, Sabbella H. R., Thakur, C. S, “Method of Synthesis of Metal Nanoparticles with Reusable, Solid State Reducing Agent”, Provisional Indian IP Filed, Patent Application No – 201941043597.
- Thakur, C. S., J. L. Molin, E. Niebur, R. Etienne-Cummings., “A Method and Device for Fast, Efficient Data Triaging in 360˚ Video/Image, or Video/Image Captured Using any Geometrical Optical Projections onto any Geometrical Shape of Imager Plane”, Provisional IP with JHU.
- Thakur, C. S., Hamilton, T. J., Tapson, J., & van Schaik, A., “A Neuromorphic Trainable Analog Block”, (2014) International PCT. Patent number AU2014904154/WO2016058055.
LIVE DEMO
- S.Narayanan, Y. Bethi, J. Lottiery, E.Niebur, R. Etienne-Cummings, Thakur, C. S, “Live Demonstration: Real-time Implementation of Proto-Object Based Visual Saliency Model”.IEEE International Symposium on Circuits and Systems (ISCAS), 2019.
- Wang, R. M., Thakur, C. S., Hamilton, T. J., Tapson, J., & van Schaik, A. (2015) DeepSouth: A Turn-key Solution for Large-Scale Neural Simulations. NeuroEng 2015: 8th Australasian Workshop on Computational Neuroscience and Neuromorphic Engineering.
- Thakur, C. S., Wright J., Hamilton, T. J., Tapson, J., & van Schaik, A. (2014) Live Demo: Digital Implementation of CAR-FAC: a Neuromorphic Model of the Human Cochlea. NeuroEng 2014: 7th Australian Workshop on Computational Neuroscience.
- Thakur, C. S., Wright J., Hamilton, T. J., Tapson, J., & van Schaik, A. (2014) Live Demo: FPGA Implementation of the CAR Model of Cochlea. IEEE International Symposium on Circuits and Systems (ISCAS).
- Xiong T, Zhang J, Thakur, C. S., et al. Live Demonstration: A Compact all-CMOS Spatiotemporal Compressed Sensing Video Camera IEEE International Symposium on Circuits and Systems (ISCAS, 2017).
BLOGS
- Chetan Singh Thakur, Neuromorphic CMOS-MoS2 based hybrid system for low power edge-computing Device and Materials Engineering.