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2020 – today
- 2024
[j57]Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu
, Wei D. Lu, Jason K. Eshraghian:
Exploiting deep learning accelerators for neuromorphic workloads. Neuromorph. Comput. Eng. 4(1): 14004 (2024)- [j56]Andrés Ussa, Chockalingam Senthil Rajen, Tarun Pulluri, Deepak Singla, Jyotibdha Acharya, Gideon Fu Chuanrong, Arindam Basu, Bharath Ramesh:
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-Time Systems. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10726-10735 (2024) - [c82]Anushia Inthiran, Michelle Honey, Arindam Basu:
Consumers Seeking Health Information: Preliminary Results of User Impressions of an Online Health Website. ACIS 2024 - [c81]Ning Lin, Shaocong Wang, Yue Zhang, Yangu He, Kwunhang Wong, Arindam Basu, Dashan Shang, Xiaoming Chen, Zhongrui Wang:
Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of DNNs. DAC 2024: 48:1-48:6 - [c80]An Kyung-Chan, Li Jun-Ying, Yang Chu-Feng, Si En Timothy Ng, Shibi Varku, Wu Qinjie, Priyanka Kajal, Nripan Mathews, Arindam Basu, Tony Tae-Hyoung Kim:
A Dynamic Gesture Recognition Algorithm Using Single Halide Perovskite Photovoltaic Cell for Human-Machine Interaction. ICEIC 2024: 1-4 - [c79]Pao-Sheng Vincent Sun, Arren Glover, Chiara Bartolozzi, Arindam Basu:
Memory Efficient Corner Detection for Event-Driven Dynamic Vision Sensors. ICASSP 2024: 13416-13420 - [c78]Ye Ke, Arindam Basu:
A Low-Power Spike Detector Using In-Memory Computing for Event-based Neural Frontend. ISCAS 2024: 1-5 - [c77]Vivek Mohan, Wee Peng Tay, Arindam Basu:
Hybrid Event-Frame Neural Spike Detector for Neuromorphic Implantable BMI. ISCAS 2024: 1-5 - [i37]Ning Lin, Shaocong Wang, Yue Zhang, Yangu He, Kwunhang Wong, Arindam Basu, Dashan Shang, Xiaoming Chen, Zhongrui Wang:
Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of Deep Neural Networks. CoRR abs/2406.14863 (2024) - [i36]Shuai Dong, Junyi Yang, Xiaoqi Peng, Hongyang Shang, Ye Ke, Xiaofeng Yang, Hongjie Liu, Arindam Basu:
Topkima-Former: Low-energy, Low-Latency Inference for Transformers using top-k In-memory ADC. CoRR abs/2411.13050 (2024) - [i35]Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu:
Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks. CoRR abs/2411.18271 (2024) - 2023
- [j55]Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda:
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 873-876 (2023) - [j54]Sumon Kumar Bose, Arindam Basu:
A 389 TOPS/W, Always ON Region Proposal Integrated Circuit Using In-Memory Computing in 65 nm CMOS. IEEE J. Solid State Circuits 58(2): 554-568 (2023) - [j53]Xueyong Zhang, Arindam Basu:
A 915-1220 TOPS/W, 976-1301 GOPS Hybrid In-Memory Computing Based Always-On Image Processing for Neuromorphic Vision Sensors. IEEE J. Solid State Circuits 58(3): 589-599 (2023) - [j52]Robert Legenstein, Arindam Basu, Priyadarshini Panda:
Editorial: Focus on algorithms for neuromorphic computing. Neuromorph. Comput. Eng. 3(3): 30402 (2023) - [c76]Vivek Mohan, Wee Peng Tay, Arindam Basu:
Architectural Exploration of Neuromorphic Compression based Neural Sensing for Next-Gen Wireless implantable-BMI. ISCAS 2023: 1-5 - [c75]Nimesh Shah, Arindam Basu:
Reconfigurable Leakage-based Weak PUF in 65nm CMOS with 0.63% instability. ISCAS 2023: 1-5 - [i34]Chuanlin Lan, Ziyuan Yin, Arindam Basu, Rosa H. M. Chan:
Tracking Fast by Learning Slow: An Event-based Speed Adaptive Hand Tracker Leveraging Knowledge in RGB Domain. CoRR abs/2302.14430 (2023) - [i33]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i32]Biyan Zhou, Pao-Sheng Vincent Sun, Arindam Basu:
ANN vs SNN: A case study for Neural Decoding in Implantable Brain-Machine Interfaces. CoRR abs/2312.15889 (2023) - 2022
- [j51]Vivek Mohan, Deepak Singla, Tarun Pulluri, Andrés Ussa, Pradeep Kumar Gopalakrishnan, Pao-Sheng Sun, Bharath Ramesh, Arindam Basu:
EBBINNOT: A Hardware-Efficient Hybrid Event-Frame Tracker for Stationary Dynamic Vision Sensors. IEEE Internet Things J. 9(21): 20902-20917 (2022) - [j50]Sumon Kumar Bose, Deepak Singla, Arindam Basu:
A 51.3-TOPS/W, 134.4-GOPS In-Memory Binary Image Filtering in 65-nm CMOS. IEEE J. Solid State Circuits 57(1): 323-335 (2022) - [c74]Anushia Inthiran, Michelle Honey, Arindam Basu:
Current Online Health Information Searching Practices of New Zealanders: Preliminary Results from a Pilot Study. ACIS 2022: 4 - [c73]Arindam Basu, Lei Deng, Charlotte Frenkel, Xueyong Zhang:
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions. CICC 2022: 1-8 - [c72]Xueyong Zhang, Arindam Basu:
A 915-1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS. CICC 2022: 1-2 - [i31]Xueyong Zhang, Arindam Basu:
A 915-1220 TOPS/W Hybrid In-Memory Computing based Image Restoration and Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS. CoRR abs/2203.01413 (2022) - [i30]Arindam Basu, Charlotte Frenkel, Lei Deng, Xueyong Zhang:
Spiking Neural Network Integrated Circuits: A Review of Trends and Future Directions. CoRR abs/2203.07006 (2022) - [i29]Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D. Lu, Jason Kamran Eshraghian:
Intelligence Processing Units Accelerate Neuromorphic Learning. CoRR abs/2211.10725 (2022) - 2021
- [j49]Nimesh Shah, Durba Chatterjee, Brojogopal Sapui, Debdeep Mukhopadhyay, Arindam Basu:
Introducing Recurrence in Strong PUFs for Enhanced Machine Learning Attack Resistance. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(2): 319-332 (2021) - [j48]Anand Kumar Mukhopadhyay, Atul Sharma, Indrajit Chakrabarti, Arindam Basu, Mrigank Sharad:
Power-efficient Spike Sorting Scheme Using Analog Spiking Neural Network Classifier. ACM J. Emerg. Technol. Comput. Syst. 17(2): 12:1-12:29 (2021) - [j47]Xueyong Zhang, Jyotibdha Acharya, Arindam Basu:
A 0.11-0.38 pJ/cycle Differential Ring Oscillator in 65 nm CMOS for Robust Neurocomputing. IEEE Trans. Circuits Syst. I Regul. Pap. 68(2): 617-630 (2021) - [c71]Sumon Kumar Bose, Arindam Basu:
A 389TOPS/W, 1262fps at 1Meps Region Proposal Integrated Circuit for Neuromorphic Vision Sensors in 65nm CMOS. A-SSCC 2021: 1-3 - [c70]Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin:
WaC: First Results on Practical Side-Channel Attacks on Commercial Machine Learning Accelerator. ASHES@CCS 2021: 111-114 - [c69]Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Shivam Bhasin, Arindam Basu:
Time to Leak: Cross-Device Timing Attack On Edge Deep Learning Accelerator. ICEIC 2021: 1-4 - [c68]Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin:
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device. ICCAD 2021: 1-9 - [i28]Shih-Chii Liu, John Paul Strachan, Arindam Basu:
Prospects for Analog Circuits in Deep Networks. CoRR abs/2106.12444 (2021) - [i27]Sumon Kumar Bose, Deepak Singla, Arindam Basu:
A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS. CoRR abs/2107.11723 (2021) - [i26]Yoo-Seung Won, Soham Chatterjee, Dirmanto Jap, Arindam Basu, Shivam Bhasin:
DeepFreeze: Cold Boot Attacks and High Fidelity Model Recovery on Commercial EdgeML Device. CoRR abs/2108.01281 (2021) - 2020
- [j46]Jyotibdha Acharya, Arindam Basu:
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning. IEEE Trans. Biomed. Circuits Syst. 14(3): 535-544 (2020) - [j45]Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Lei Zhang, Aakash Patil, Arindam Basu:
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65-nm CMOS. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(3): 913-926 (2020) - [j44]Xueyong Zhang, Vivek Mohan, Arindam Basu:
CRAM: Collocated SRAM and DRAM With In-Memory Computing-Based Denoising and Filling for Neuromorphic Vision Sensors in 65 nm CMOS. IEEE Trans. Circuits Syst. II Express Briefs 67-II(5): 816-820 (2020) - [j43]Bapi Kar, Pradeep Kumar Gopalakrishnan, Sumon Kumar Bose, Mohendra Roy, Arindam Basu:
ADIC: Anomaly Detection Integrated Circuit in 65-nm CMOS Utilizing Approximate Computing. IEEE Trans. Very Large Scale Integr. Syst. 28(12): 2518-2529 (2020) - [c67]Sumon Kumar Bose, Vivek Mohan, Arindam Basu:
A 75kb SRAM in 65nm CMOS for In-Memory Computing Based Neuromorphic Image Denoising. ISCAS 2020: 1-5 - [c66]Nimesh Shah, Sumon Kumar Bose, Chip-Hong Chang, Arindam Basu:
Reducing Temperature Induced Unreliability in Sub-Threshold Strong PUFs through Circuit Modeling. ISCAS 2020: 1-5 - [c65]Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu:
Towards Autonomous Intra-Cortical Brain Machine Interfaces: Applying Bandit Algorithms for Online Reinforcement Learning. ISCAS 2020: 1-5 - [c64]Deepak Singla, Soham Chatterjee, Lavanya Ramapantulu, Andrés Ussa, Bharath Ramesh, Arindam Basu:
HyNNA: Improved Performance for Neuromorphic Vision Sensor Based Surveillance using Hybrid Neural Network Architecture. ISCAS 2020: 1-5 - [i25]Sumon Kumar Bose, Jyotibdha Acharya, Arindam Basu:
Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering. CoRR abs/2002.11945 (2020) - [i24]Deepak Singla, Soham Chatterjee, Lavanya Ramapantulu, Andrés Ussa, Bharath Ramesh, Arindam Basu:
HyNNA: Improved Performance for Neuromorphic Vision Sensor based Surveillance using Hybrid Neural Network Architecture. CoRR abs/2003.08603 (2020) - [i23]Sumon Kumar Bose, Vivek Mohan, Arindam Basu:
A 75kb SRAM in 65nm CMOS for In-Memory Computing Based Neuromorphic Image Denoising. CoRR abs/2003.10300 (2020) - [i22]Jyotibdha Acharya, Arindam Basu:
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning. CoRR abs/2004.08287 (2020) - [i21]Deepak Singla, Vivek Mohan, Tarun Pulluri, Andrés Ussa, Bharath Ramesh, Arindam Basu:
EBBINNOT: A Hardware Efficient Hybrid Event-Frame Tracker for Stationary Neuromorphic Vision Sensors. CoRR abs/2006.00422 (2020) - [i20]Andrés Ussa, Chockalingam Senthil Rajen, Deepak Singla, Jyotibdha Acharya, Gideon Fu Chuanrong, Arindam Basu, Bharath Ramesh:
A Hybrid Neuromorphic Object Tracking and Classification Framework for Real-time Systems. CoRR abs/2007.11404 (2020) - [i19]Bapi Kar, Pradeep Kumar Gopalakrishnan, Sumon Kumar Bose, Mohendra Roy, Arindam Basu:
ADIC: Anomaly Detection Integrated Circuit in 65nm CMOS utilizing Approximate Computing. CoRR abs/2008.09442 (2020)
2010 – 2019
- 2019
- [j42]Sai Praveen Kadiyala, Aritra Sen, Shubham Mahajan, Quingyun Wang, Avinash Lingamaneni, James Sneed German, Xu Hong, Krishna V. Palem, Arindam Basu:
An Optimum Inexact Design for an Energy Efficient Hearing Aid. J. Low Power Electron. 15(2): 129-143 (2019) - [j41]Mehdi Kiani, Arindam Basu, Shuenn-Yuh Lee:
Guest Editorial: Special Issue on Selected Papers From IEEE ISICAS 2019. IEEE Trans. Biomed. Circuits Syst. 13(5): 880-881 (2019) - [j40]Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu:
Towards Intelligent Intracortical BMI (i2BMI): Low-Power Neuromorphic Decoders That Outperform Kalman Filters. IEEE Trans. Biomed. Circuits Syst. 13(6): 1615-1624 (2019) - [j39]Yi Chen, Zheng Wang, Aakash Patil, Arindam Basu:
A 2.86-TOPS/W Current Mirror Cross-Bar-Based Machine-Learning and Physical Unclonable Function Engine For Internet-of-Things Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(6): 2240-2252 (2019) - [c63]Sumon Kumar Bose, Jyotibdha Acharya, Arindam Basu:
Is my Neural Network Neuromorphic? Taxonomy, Recent Trends and Future Directions in Neuromorphic Engineering. ACSSC 2019: 1522-1527 - [c62]Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Arindam Basu:
ADEPOS: anomaly detection based power saving for predictive maintenance using edge computing. ASP-DAC 2019: 597-602 - [c61]Nimesh Shah, Manaar Alam, Durga Prasad Sahoo, Debdeep Mukhopadhyay, Arindam Basu:
A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance. ASP-DAC 2019: 627-632 - [c60]Yi Chen, Zheng Wang, Aakash Patil, Arindam Basu:
A Current Mirror Cross Bar Based 2.86-TOPS/W Machine Learner and PUF with <2.5% BER in 65nm CMOS for IoT Application. ISCAS 2019: 1-4 - [c59]Jyotibdha Acharya, Vandana Padala, Arindam Basu:
Spiking Neural Network Based Region Proposal Networks for Neuromorphic Vision Sensors. ISCAS 2019: 1-5 - [c58]Pradeep Kumar Gopalakrishnan, Bapi Kar, Sumon Kumar Bose, Mohendra Roy, Arindam Basu:
Live Demonstration: Autoencoder-Based Predictive Maintenance for IoT. ISCAS 2019: 1 - [c57]Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu:
Real-time Closed Loop Neural Decoding on a Neuromorphic chip. NER 2019: 670-673 - [c56]Shoeb Shaikh, Rosa Q. So, Camilo Libedinsky, Arindam Basu:
Experimental Comparison of Hardware-Amenable Spike Detection Algorithms for iBMIs. NER 2019: 754-757 - [c55]Jyotibdha Acharya, Andrés Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu:
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT using Stationary Neuromorphic Vision Sensors. SoCC 2019: 318-323 - [i18]Jyotibdha Acharya, Vandana Padala, Arindam Basu:
Spiking Neural Network based Region Proposal Networks for Neuromorphic Vision Sensors. CoRR abs/1902.09864 (2019) - [i17]Jyotibdha Acharya, Andrés Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu:
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors. CoRR abs/1910.01851 (2019) - [i16]Andrés Ussa, Luca Della Vedova, Vandana Reddy Padala, Deepak Singla, Jyotibdha Acharya, Charles Zhang Lei, Garrick Orchard, Arindam Basu, Bharath Ramesh:
A low-power end-to-end hybrid neuromorphic framework for surveillance applications. CoRR abs/1910.09806 (2019) - [i15]Sumon Kumar Bose, Bapi Kar, Mohendra Roy, Pradeep Kumar Gopalakrishnan, Lei Zhang, Aakash Patil, Arindam Basu:
ADEPOS: A Novel Approximate Computing Framework for Anomaly Detection Systems and its Implementation in 65nm CMOS. CoRR abs/1912.01853 (2019) - 2018
- [j38]Arindam Basu, Meng-Fan Chang, Elisabetta Chicca, Tanay Karnik, Hai Helen Li, Jae-sun Seo:
Guest Editorial Low-Power, Adaptive Neuromorphic Systems: Devices, Circuit, Architectures and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 1-5 (2018) - [j37]Arindam Basu, Jyotibdha Acharya, Tanay Karnik, Huichu Liu, Hai Helen Li, Jae-sun Seo, Chang Song:
Low-Power, Adaptive Neuromorphic Systems: Recent Progress and Future Directions. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 6-27 (2018) - [j36]Aritra Bhaduri, Amitava Banerjee, Subhrajit Roy, Sougata Kar, Arindam Basu:
Spiking Neural Classifier with Lumped Dendritic Nonlinearity and Binary Synapses: A Current Mode VLSI Implementation and Analysis. Neural Comput. 30(3) (2018) - [j35]Huajin Tang, Tiejun Huang, Jeffrey L. Krichmar, Garrick Orchard, Arindam Basu:
Guest Editorial Special Issue on Neuromorphic Computing and Cognitive Systems. IEEE Trans. Cogn. Dev. Syst. 10(2): 122-125 (2018) - [j34]Mahdi Rasouli, Yi Chen, Arindam Basu, Sunil L. Kukreja, Nitish V. Thakor:
An Extreme Learning Machine-Based Neuromorphic Tactile Sensing System for Texture Recognition. IEEE Trans. Biomed. Circuits Syst. 12(2): 313-325 (2018) - [j33]Suman Deb, Tarun Vatwani, Anupam Chattopadhyay, Arindam Basu, Xuanyao Fong:
Domain Wall Motion-Based Dual-Threshold Activation Unit for Low-Power Classification of Non-Linearly Separable Functions. IEEE Trans. Biomed. Circuits Syst. 12(6): 1410-1421 (2018) - [j32]Zheng Wang, Yi Chen, Aakash Patil, Jayasanker Jayabalan, Xueyong Zhang, Chip-Hong Chang, Arindam Basu:
Current Mirror Array: A Novel Circuit Topology for Combining Physical Unclonable Function and Machine Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(4): 1314-1326 (2018) - [c54]Suman Deb, Tarun Vatwani, Anupam Chattopadhyay, Arindam Basu, Xuanyao Fong:
Domain Wall Motion-based XOR-like Activation Unit With A Programmable Threshold. IJCNN 2018: 1-8 - [c53]Mohendra Roy, Sumon Kumar Bose, Bapi Kar, Pradeep Kumar Gopalakrishnan, Arindam Basu:
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring. SSCI 2018: 1501-1507 - [c52]Vignesh Mahalingam Suresh, Rishi Sidhu, Prateek Karkare, Aakash Patil, Lei Zhang, Arindam Basu:
Powering the IoT through embedded machine learning and LoRa. WF-IoT 2018: 349-354 - [i14]Anand Kumar Mukhopadhyay, Indrajit Chakrabarti, Arindam Basu, Mrigank Sharad:
Power efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application. CoRR abs/1802.09047 (2018) - [i13]Mohendra Roy, Sumon Kumar Bose, Bapi Kar, Pradeep Kumar Gopalakrishnan, Arindam Basu:
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring. CoRR abs/1810.08609 (2018) - [i12]Shoeb Shaikh, Rosa Q. So, Tafadzwa Sibindi, Camilo Libedinsky, Arindam Basu:
Real-time Closed Loop Neural Decoding on a Neuromorphic Chip. CoRR abs/1812.03991 (2018) - [i11]Nimesh Shah, Manaar Alam, Durga Prasad Sahoo, Debdeep Mukhopadhyay, Arindam Basu:
A 0.16pJ/bit Recurrent Neural Network Based PUF for Enhanced Machine Learning Atack Resistance. CoRR abs/1812.05347 (2018) - 2017
- [j31]Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu:
Hardware architecture for large parallel array of Random Feature Extractors applied to image recognition. Neurocomputing 261: 193-203 (2017) - [j30]Roshan Gopalakrishnan, Arindam Basu:
Triplet Spike Time-Dependent Plasticity in a Floating-Gate Synapse. IEEE Trans. Neural Networks Learn. Syst. 28(4): 778-790 (2017) - [j29]Subhrajit Roy, Arindam Basu:
An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(4): 900-910 (2017) - [j28]Enyi Yao, Arindam Basu:
VLSI Extreme Learning Machine: A Design Space Exploration. IEEE Trans. Very Large Scale Integr. Syst. 25(1): 60-74 (2017) - [c51]Yi Chen, Arindam Basu, Xu Liu, Lei Yao, Sudip Nag, Minkyu Je, Nitish V. Thakor:
A simultaneous neural recording and stimulation system using signal folding in recording circuits. BioCAS 2017: 1-4 - [c50]Shoeb Shaikh, Yi Chen, Arindam Basu, Rosa Q. So:
Cortical motor intention decoding on an analog co-processor with fast training for non-stationary data. BioCAS 2017: 1-4 - [c49]Jyotibdha Acharya, Arindam Basu, Wee Ser:
Feature extraction techniques for low-power ambulatory wheeze detection wearables. EMBC 2017: 4574-4577 - [c48]Laxmi R. Iyer, Arindam Basu:
Unsupervised learning of event-based image recordings using spike-timing-dependent plasticity. IJCNN 2017: 1840-1846 - [c47]Zheng Wang, Yi Chen, Aakash Patil, Chip-Hong Chang, Arindam Basu:
Current mirror array: A novel lightweight strong PUF topology with enhanced reliability. ISCAS 2017: 1-4 - [c46]Rakshit Pathak, Saurav Dash, Anand Kumar Mukhopadhyay, Arindam Basu, Mrigank Sharad:
Low Power Implantable Spike Sorting Scheme Based on Neuromorphic Classifier with Supervised Training Engine. ISVLSI 2017: 266-271 - 2016
- [j27]Subhrajit Roy, Arindam Basu:
An Online Structural Plasticity Rule for Generating Better Reservoirs. Neural Comput. 28(11): 2557-2584 (2016) - [j26]Enyi Yao, Yi Chen, Arindam Basu:
A 0.7 V, 40 nW Compact, Current-Mode Neural Spike Detector in 65 nm CMOS. IEEE Trans. Biomed. Circuits Syst. 10(2): 309-318 (2016) - [j25]Yi Chen, Enyi Yao, Arindam Basu:
A 128-Channel Extreme Learning Machine-Based Neural Decoder for Brain Machine Interfaces. IEEE Trans. Biomed. Circuits Syst. 10(3): 679-692 (2016) - [j24]Jennifer Blain Christen, Arindam Basu:
Guest Editorial - ISCAS 2015 Special Issue. IEEE Trans. Biomed. Circuits Syst. 10(4): 797-798 (2016) - [j23]Sarah Ostadabbas, Danilo Demarchi, Arindam Basu:
Guest Editorial - Special Issue on Selected Papers From IEEE BioCAS 2015. IEEE Trans. Biomed. Circuits Syst. 10(5): 933-934 (2016) - [j22]Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu:
Learning Spike Time Codes Through Morphological Learning With Binary Synapses. IEEE Trans. Neural Networks Learn. Syst. 27(7): 1572-1577 (2016) - [c45]Govind Narasimman, Subhrajit Roy, Xuanyao Fong, Kaushik Roy, Chip-Hong Chang, Arindam Basu:
A low-voltage, low power STDP synapse implementation using domain-wall magnets for spiking neural networks. ISCAS 2016: 914-917 - [c44]Aritra Bhaduri, Enyi Yao, Arindam Basu:
Pulse-based feature extraction for hardware-efficient neural recording systems. ISCAS 2016: 1842-1845 - [c43]Shaista Hussain, Arindam Basu:
Morphological learning in multicompartment neuron model with binary synapses. ISCAS 2016: 2527-2530 - [c42]Subhrajit Roy, He Tong, Arindam Basu:
Online unsupervised structural plasticity algorithm for multi-layer Winner-Take-All with binary synapses. ISIC 2016: 1-4 - [i10]Subhrajit Roy, Arindam Basu:
An Online Structural Plasticity Rule for Generating Better Reservoirs. CoRR abs/1604.05459 (2016) - [i9]Enyi Yao, Arindam Basu:
VLSI Extreme Learning Machine: A Design Space Exploration. CoRR abs/1605.00740 (2016) - 2015
- [j21]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Hardware-Amenable Structural Learning for Spike-Based Pattern Classification Using a Simple Model of Active Dendrites. Neural Comput. 27(4): 845-897 (2015) - [j20]Roshan Gopalakrishnan, Arindam Basu:
On the Non-STDP Behavior and Its Remedy in a Floating-Gate Synapse. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2596-2601 (2015) - [c41]Sai Praveen Kadiyala, Aritra Sen, Shubham Mahajan, Qingyun Wang, Avinash Lingamneni, James Sneed German, Xu Hong, Ansuman Banerjee, Krishna V. Palem, Arindam Basu:
Perceptually guided inexact DSP design for power, area efficient hearing aid. BioCAS 2015: 1-4 - [c40]Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu:
Random projection for spike sorting: Decoding neural signals the neural network way. BioCAS 2015: 1-4 - [c39]Mahdi Rasouli, Yi Chen, Arindam Basu, Nitish V. Thakor, Sunil L. Kukreja:
Spike-based tactile pattern recognition using an extreme learning machine. BioCAS 2015: 1-4 - [c38]Roshan Gopalakrishnan, Arindam Basu:
Triplet spike time dependent plasticity in a floating-gate synapse. ISCAS 2015: 710-713 - [c37]Amitava Banerjee, Sougata Kar, Subhrajit Roy, Aritra Bhaduri, Arindam Basu:
A current-mode spiking neural classifier with lumped dendritic nonlinearity. ISCAS 2015: 714-717 - [c36]Enyi Yao, Arindam Basu:
A 1 V, compact, current-mode neural spike detector with detection probability estimator in 65 nm CMOS. ISCAS 2015: 754-757 - [c35]Yi Chen, Enyi Yao, Arindam Basu:
A 128 channel 290 GMACs/W machine learning based co-processor for intention decoding in brain machine interfaces. ISCAS 2015: 3004-3007 - [i8]Subhrajit Roy, Phyo Phyo San, Shaista Hussain, Wang Wei Lee, Arindam Basu:
Learning Spike time codes through Morphological Learning with Binary Synapses. CoRR abs/1506.05212 (2015) - [i7]Yi Chen, Enyi Yao, Arindam Basu:
A 128 channel Extreme Learning Machine based Neural Decoder for Brain Machine Interfaces. CoRR abs/1509.07450 (2015) - [i6]Roshan Gopalakrishnan, Arindam Basu:
Triplet Spike Time Dependent Plasticity: A floating-gate Implementation. CoRR abs/1512.00961 (2015) - [i5]Subhrajit Roy, Arindam Basu:
An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks. CoRR abs/1512.01314 (2015) - [i4]Aakash Patil, Shanlan Shen, Enyi Yao, Arindam Basu:
Hardware Architecture for Large Parallel Array of Random Feature Extractors applied to Image Recognition. CoRR abs/1512.07783 (2015) - 2014
- [j19]Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton:
Delay learning architectures for memory and classification. Neurocomputing 138: 14-26 (2014) - [j18]Fei Li, Chip-Hong Chang, Arindam Basu, Liter Siek:
A 0.7 V low-power fully programmable Gaussian function generator for brain-inspired Gaussian correlation associative memory. Neurocomputing 138: 69-77 (2014) - [j17]Yi Chen, Arindam Basu, Lei Liu, Xiaodan Zou, Ramamoorthy Rajkumar, Gavin Stewart Dawe, Minkyu Je:
A Digitally Assisted, Signal Folding Neural Recording Amplifier. IEEE Trans. Biomed. Circuits Syst. 8(4): 528-542 (2014) - [j16]Subhrajit Roy, Amitava Banerjee, Arindam Basu:
Liquid State Machine With Dendritically Enhanced Readout for Low-Power, Neuromorphic VLSI Implementations. IEEE Trans. Biomed. Circuits Syst. 8(5): 681-695 (2014) - [j15]Shubha Ramakrishnan, Arindam Basu, Leung Kin Chiu, Jennifer Hasler, David V. Anderson, Stephen Brink:
Speech Processing on a Reconfigurable Analog Platform. IEEE Trans. Very Large Scale Integr. Syst. 22(2): 430-433 (2014) - [c34]Phyo Phyo San, Shaista Hussain, Arindam Basu:
Spike-timing dependent morphological learning for a neuron with nonlinear active dendrites. IJCNN 2014: 3192-3196 - [c33]Roshan Gopalakrishnan, Arindam Basu:
Robust doublet STDP in a floating-gate synapse. IJCNN 2014: 4296-4301 - [c32]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Improved margin multi-class classification using dendritic neurons with morphological learning. ISCAS 2014: 2640-2643 - [c31]Subhrajit Roy, Sougata Kumar Kar, Arindam Basu:
Architectural exploration for on-chip, online learning in spiking neural networks. ISIC 2014: 128-131 - [i3]Subhrajit Roy, Amitava Banerjee, Arindam Basu:
Liquid State Machine with Dendritically Enhanced Readout for Low-power, Neuromorphic VLSI Implementations. CoRR abs/1411.5458 (2014) - [i2]Shaista Hussain, Shih-Chii Liu, Arindam Basu:
Hardware-Amenable Structural Learning for Spike-based Pattern Classification using a Simple Model of Active Dendrites. CoRR abs/1411.5881 (2014) - 2013
- [j14]Arindam Basu, Sun Shuo, Hongming Zhou, Meng-Hiot Lim, Guang-Bin Huang:
Silicon spiking neurons for hardware implementation of extreme learning machines. Neurocomputing 102: 125-134 (2013) - [j13]Stephen Brink, Stephen Nease, Paul E. Hasler, Shubha Ramakrishnan, Richard B. Wunderlich, Arindam Basu, Brian P. Degnan:
A Learning-Enabled Neuron Array IC Based Upon Transistor Channel Models of Biological Phenomena. IEEE Trans. Biomed. Circuits Syst. 7(1): 71-81 (2013) - [j12]Anshul Singh, Arindam Basu, Keck Voon Ling, Vincent John Mooney III:
Models for characterizing noise based PCMOS circuits. ACM Trans. Embed. Comput. Syst. 13(1s): 39:1-39:30 (2013) - [c30]Enyi Yao, Shaista Hussain, Arindam Basu, Guang-Bin Huang:
Computation using mismatch: Neuromorphic extreme learning machines. BioCAS 2013: 294-297 - [c29]Subhrajit Roy, Arindam Basu, Shaista Hussain:
Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines. BioCAS 2013: 302-305 - [c28]Lingamneni Avinash, Arindam Basu, Christian C. Enz, Krishna V. Palem, Christian Piguet:
Improving energy gains of inexact DSP hardware through reciprocative error compensation. DAC 2013: 20:1-20:8 - [c27]Shaista Hussain, Roshan Gopalakrishnan, Arindam Basu, Shih-Chii Liu:
Morphological learning: Increased memory capacity of neuromorphic systems with binary synapses exploiting AER based reconfiguration. IJCNN 2013: 1-7 - [c26]Shashi Bhushan Gogia, Susil Kumar Meher, Arindam Basu, Maurice Mars, Gunnar Hartvigsen:
Working Solutions for Telehealth in Low Resource Areas. MedInfo 2013: 1243 - [i1]Shaista Hussain, Arindam Basu, Runchun Wang, Tara Julia Hamilton:
Delay Learning Architectures for Memory and Classification. CoRR abs/1311.1294 (2013) - 2012
- [j11]Arindam Basu:
Small-Signal Neural Models and Their Applications. IEEE Trans. Biomed. Circuits Syst. 6(1): 64-75 (2012) - [j10]Fei Li, Arindam Basu, Chip-Hong Chang, Avis H. Cohen:
Dynamical Systems Guided Design and Analysis of Silicon Oscillators for Central Pattern Generators. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(12): 3046-3059 (2012) - [c25]Dinup Sukumaran, Enyi Yao, Sun Shuo, Arindam Basu, Dongning Zhao, Justin Dauwels:
A low-power, reconfigurable smart sensor system for EEG acquisition and classification. APCCAS 2012: 9-12 - [c24]Shaista Hussain, Arindam Basu, Runchun Mark Wang, Tara Julia Hamilton:
DELTRON: Neuromorphic architectures for delay based learning. APCCAS 2012: 304-307 - [c23]Yi Chen, Arindam Basu, Minkyu Je:
A signal folding neural amplifier exploiting neural signal statistics. BioCAS 2012: 224-227 - [c22]Yi Chen, Arindam Basu, Minkyu Je:
A digitally assisted, pseudo-resistor-less amplifier in 65nm CMOS for neural recording applications. MWSCAS 2012: 366-369 - 2011
- [j9]Sangwook Suh, Arindam Basu, Craig Schlottmann, Paul E. Hasler, John R. Barry:
Low-Power Discrete Fourier Transform for OFDM: A Programmable Analog Approach. IEEE Trans. Circuits Syst. I Regul. Pap. 58-I(2): 290-298 (2011) - [j8]Arindam Basu, Paul E. Hasler:
A Fully Integrated Architecture for Fast and Accurate Programming of Floating Gates Over Six Decades of Current. IEEE Trans. Very Large Scale Integr. Syst. 19(6): 953-962 (2011) - [c21]Aman Gupta, Satyam Mandavalli, Vincent John Mooney, Keck Voon Ling, Arindam Basu, Henry Johan, Budianto Tandianus:
Low Power Probabilistic Floating Point Multiplier Design. ISVLSI 2011: 182-187 - 2010
- [j7]Arindam Basu, Stephen Brink, Craig Schlottmann, Shubha Ramakrishnan, Csaba Petre, Scott Koziol, I. Faik Baskaya, Christopher M. Twigg, Paul E. Hasler:
A Floating-Gate-Based Field-Programmable Analog Array. IEEE J. Solid State Circuits 45(9): 1781-1794 (2010) - [j6]Arindam Basu, Shubha Ramakrishnan, Csaba Petre, Scott Koziol, Stephen Brink, Paul E. Hasler:
Neural Dynamics in Reconfigurable Silicon. IEEE Trans. Biomed. Circuits Syst. 4(5): 311-319 (2010) - [j5]Arindam Basu, Csaba Petre, Paul E. Hasler:
Dynamics and Bifurcations in a Silicon Neuron. IEEE Trans. Biomed. Circuits Syst. 4(5): 320-328 (2010) - [j4]Arindam Basu, Paul E. Hasler:
Nullcline-Based Design of a Silicon Neuron. IEEE Trans. Circuits Syst. I Regul. Pap. 57-I(11): 2938-2947 (2010) - [c20]Arindam Basu, Shubha Ramakrishnan, Paul E. Hasler:
Neural dynamics in reconfigurable silicon. ISCAS 2010: 1943-1946 - [c19]Muhammad Shakeel Qureshi, Arindam Basu, Baris Bicen, Levent Degertekin, Paul E. Hasler:
Integrated low voltage and low power CMOS circuits for optical sensing of diffraction based micromachined microphone. ISCAS 2010: 2031-2034 - [c18]Scott Koziol, Craig Schlottmann, Arindam Basu, Stephen Brink, Csaba Petre, Brian P. Degnan, Shubha Ramakrishnan, Paul E. Hasler, Aurele Balavoine:
Live demonstration: Hardware and software infrastructure for a family of floating-gate based FPAAs. ISCAS 2010: 2793 - [c17]Scott Koziol, Craig Schlottmann, Arindam Basu, Stephen Brink, Csaba Petre, Brian P. Degnan, Shubha Ramakrishnan, Paul E. Hasler, Aurele Balavoine:
Hardware and software infrastructure for a family of floating-gate based FPAAs. ISCAS 2010: 2794-2797
2000 – 2009
- 2009
- [c16]Bo Marr, Arindam Basu, Stephen Brink, Paul E. Hasler:
A learning digital computer. DAC 2009: 617-618 - [c15]Sheng-Yu Peng, Gokce Gurun, Christopher M. Twigg, Muhammad Shakeel Qureshi, Arindam Basu, Stephen Brink, Paul E. Hasler, Levent Degertekin:
A Large-scale Reconfigurable Smart Sensory Chip. ISCAS 2009: 2145-2148 - 2008
- [j3]Sheng-Yu Peng, Muhammad Shakeel Qureshi, Paul E. Hasler, Arindam Basu, Levent Degertekin:
A Charge-Based Low-Power High-SNR Capacitive Sensing Interface Circuit. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(7): 1863-1872 (2008) - [c14]Arindam Basu, Christopher M. Twigg, Stephen Brink, Paul E. Hasler, Csaba Petre, Shubha Ramakrishnan, Scott Koziol, Craig Schlottmann:
RASP 2.8: A new generation of floating-gate based field programmable analog array. CICC 2008: 213-216 - [c13]Arindam Basu, Csaba Petre, Paul E. Hasler:
Bifurcations in a silicon neuron. ISCAS 2008: 428-431 - 2007
- [j2]Abdul-Malik Shakir, David Cardenas, Gora Datta, Debashish Mittra, Arindam Basu, Rini Verma:
Design and Development of Standards (HL7 V3) Based Enterprise Architecture for Public Health Programs Integration at the County of Los Angeles. Int. J. Heal. Inf. Syst. Informatics 2(2): 53-66 (2007) - [j1]Arindam Basu, Ryan W. Robucci, Paul E. Hasler:
A Low-Power, Compact, Adaptive Logarithmic Transimpedance Amplifier Operating Over Seven Decades of Current. IEEE Trans. Circuits Syst. I Regul. Pap. 54-I(10): 2167-2177 (2007) - [c12]Kofi M. Odame, Christopher M. Twigg, Arindam Basu, Paul E. Hasler:
Studying Nonlinear Dynamical Systems on a Reconfigurable Analog Platform. ISCAS 2007: 445-448 - [c11]Arindam Basu, Paul E. Hasler:
A Fully Integrated Architecture for Fast Programming of Floating Gates. ISCAS 2007: 957-960 - [c10]Paul E. Hasler, Arindam Basu, Sctt Kozil:
Above Threshold pFET InjectionModeling intended for ProgrammingFloating-Gate Systems. ISCAS 2007: 1557-1560 - [c9]Arindam Basu, Kofi M. Odame, Paul E. Hasler:
Dynamics of a Logarithmic Transimpedance Amplifier. ISCAS 2007: 1673-1676 - [c8]Arindam Basu, Ryan W. Robucci, Paul E. Hasler:
A Low-Power, Compact, Adaptive Logarithmic Transimpedance Amplifier Operating over Seven Decades of Current. ISCAS 2007: 3055-3058 - [c7]Paul E. Hasler, Scott Koziol, Ethan Farquhar, Arindam Basu:
Transistor Channel Dendrites implementing HMM classifiers. ISCAS 2007: 3359-3362 - 2006
- [c6]Sheng-Yu Peng, Muhammad Shakeel Qureshi, Arindam Basu, Paul E. Hasler, Levent Degertekin:
A Floating-gate Based Low-Power Capacitive Sensing Interface Circuit. CICC 2006: 257-260 - 2005
- [c5]Arindam Basu, Anindya Sundar Dhar:
Design Issues in Switched Capacitor Ladder Filters. VLSI Design 2005: 862-865 - 2004
- [c4]Ashis Kumar Mal, Arindam Basu:
A generalized analog architecture for DCT, DST and its inverse. ICASSP (5) 2004: 261-264 - [c3]Ravi Chawla, Haw-Jing Lo, Arindam Basu, Paul E. Hasler, Bradley A. Minch:
A fully programmable log-domain bandpass filter using multiple-input translinear elements. ISCAS (1) 2004: 33-36 - [c2]Arindam Basu, Ashis Kumar Mal, Anindya Sundar Dhar:
Digital controlled analog architecture for DCT and DST using capacitor switching. ISCAS (2) 2004: 309-312 - [c1]Ashis Kumar Mal, Arindam Basu, Anindya Sundar Dhar:
Sampled analog architecture for DCT and DST. ISCAS (2) 2004: 825-828
Coauthor Index
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