Publications

JOURNAL PUBLICATIONS

  1. 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 (2018). Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain
  2. Wang, R., Thakur, C. S., van Schaik, A. (2018). An FPGA-based Massively Parallel Neuromorphic Cortex SimulatorFrontiers in Neuroscience.
  3. Ying Xu, Thakur, C. S., Hamilton, Wang, R., van Schaik, A. (2018). An FPGA Implementation of the CAR-FAC Cochlear Model. Frontiers in neuroscience
  4. Xiong T, Zhang J, C. Martinez-Rubio, Thakur, C. S., et al (2018). An Unsupervised Compressed Sensing Algorithm for Multi-Channel Neural Recording and Spike Sorting. Transactions on Neural Systems & Rehabilitation Engineering
  5. Thakur, C. S., Wang, R., Hamilton, T. J., Tapson, J., R. Etienne-Cummings & van Schaik, A. (2017). An Analogue Neuromorphic Co-processor that Utilises Device Mismatch for Learning Applications.  IEEE Transactions on Circuits and Systems I (TCAS-I)
  6. Thakur, C. S., Afshar, S., Wang, R. M., Hamilton, T. J., Tapson, J., & van Schaik, A. (2016). Bayesian Estimation and Inference Using Stochastic ElectronicsFrontiers in neuroscience.
  7. Thakur, C. S., Wang, R., Hamilton, T. J., Tapson, J.,& van Schaik, A. (2016). A Low Power Trainable Neuromorphic Integrated Circuit that is Tolerant to Device MismatchIEEE Transactions on Circuits and Systems I: Regular Papers63(2), 211-221.
  8. Wang, R., Thakur, C. S., et al. (2016) A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognitionIEEETransactions on Biomedical Circuit and System (TBioCAS).
  9. Afshar, S., Thakur, C. S., et al. (2015) Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. IEEE Transactions on Biomedical Circuits and Systems (TBioCAS).
  10. Thakur, C. S., Wang, R., Hamilton, T. J., Tapson, J.,& van Schaik, A. An Online Learning Algorithm for Neuromorphic Hardware Accelerators.
  11. Thakur, C. S., Wang, R. M., Afshar, S., Hamilton, T. J., Tapson, J. C., Shamma, S. A., & van Schaik, A. (2015). Sound stream segregation: a neuromorphic approach to solve the “cocktail party problem” in real-time. Frontiers in Neuroscience.

JOURNAL PAPER (under review/preparation)

  1. L. Molin, Thakur C. S., E. Niebur, and R. Etienne-Cummings, Dynamic proto-object based visual saliency and FPGA implementation for real-time processing, IEEE Transactions on Neural Networks and Learning Systems.
  2. L. Molin,A. Eisape, Thakur C. S., V. Varghese, C. Brandli, R. Etienne-Cummings, “Low-power, highly dense array of mihalas-niebur neurons, IEEE Transactions on Neural Networks and Learning Systems.

CONFERENCE PUBLICATIONS

  1. 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 (MWCAS), 2017.
  2. 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.
  3. L. Molin, A. Eisape, Thakur, C. S., V. Varghese, C. Brandli, and R. Etienne-Cummings, “Low-power, low-mismatch, highly-dense, array of vlsimihalas-niebur neurons,“ IEEE International Symposium on Circuits and Systems (ISCAS), 2017.
  4. 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.
  5. 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.
  6. Wang, R., Thakur, C. S., et al. (2016) A Stochastic Approach to STDP learning. IEEE International Symposium on Circuits and Systems (ISCAS 2016).
  7. Xu, Y, Thakur, C. S., et al. (2016) Electronic Cochlea: Car-FAC Model on FPGA. IEEE Biomedical Circuits and Systems Conference (BioCAS 2016).
  8. 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).
  9. Xu, Y., Thakur, C. S., et al. (2015) A Reconfigurable Mixed-signal Implementation of Neuromorphic ADC. IEEE Biomedical Circuits and Systems Conference (BioCAS).
  10. Wang, R., Thakur, C. S., et al. (2015) A compact aVLSI conductance-based silicon neuronIEEE Biomedical Circuits and Systems Conference (BioCAS 2015).
  11. Thakur, C. S., et al. (2015) A neuromorphic hardware framework based on population coding. IEEE International Joint Conference on Neural Networks (IJCNN).
  12. Thakur, C. S., et al. (2014) FPGA Implementation of the CAR Model of Cochlea. IEEE International Symposium on Circuits and Systems (ISCAS).
  13. 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.
  14. 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.
  15. 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.
  16. 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.

PATENTS

  1. Thakur, C. S., Hamilton, T. J., Tapson, J., & van Schaik, A. (2014) A Neuromorphic Trainable Analog Block. International PCT. Patent number AU2014904154/WO2016058055.
  2. 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 with JHU

LIVE DEMO

  1. 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.
  2. 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.
  3. 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).
  4. 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).