Arindam Basu
Arindam Basu
Professor, City University of Hong Kong (past Associate Professor of EEE at NTU)
Verified email at - Homepage
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Cited by
Synergistic gating of electro‐iono‐photoactive 2D chalcogenide neuristors: coexistence of hebbian and homeostatic synaptic metaplasticity
RA John, F Liu, NA Chien, MR Kulkarni, C Zhu, Q Fu, A Basu, Z Liu, ...
Advanced Materials 30 (25), 1800220, 2018
Deep neural network for respiratory sound classification in wearable devices enabled by patient specific model tuning
J Acharya, A Basu
IEEE transactions on biomedical circuits and systems 14 (3), 535-544, 2020
A floating-gate-based field-programmable analog array
A Basu, S Brink, C Schlottmann, S Ramakrishnan, C Petre, S Koziol, ...
IEEE Journal of Solid-State Circuits 45 (9), 1781-1794, 2010
Ionotronic halide perovskite drift‐diffusive synapses for low‐power neuromorphic computation
RA John, N Yantara, YF Ng, G Narasimman, E Mosconi, D Meggiolaro, ...
Advanced Materials 30 (51), 1805454, 2018
Halide perovskite memristors as flexible and reconfigurable physical unclonable functions
RA John, N Shah, SK Vishwanath, SE Ng, B Febriansyah, ...
Nature Communications 12 (1), 3681, 2021
A Learning-Enabled Neuron Array IC Based Upon Transistor Channel Models of Biological Phenomena
S Brink, S Nease, P Hasler, S Ramakrishnan, R Wunderlich, A Basu, ...
A 128-channel extreme learning machine-based neural decoder for brain machine interfaces
Y Chen, E Yao, A Basu
IEEE transactions on biomedical circuits and systems 10 (3), 679-692, 2015
Low-power, adaptive neuromorphic systems: Recent progress and future directions
A Basu, J Acharya, T Karnik, H Liu, H Li, JS Seo, C Song
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1), 6-27, 2018
Diffusive and drift halide perovskite memristive barristors as nociceptive and synaptic emulators for neuromorphic computing
RA John, N Yantara, SE Ng, MIB Patdillah, MR Kulkarni, NF Jamaludin, ...
Advanced Materials 33 (15), 2007851, 2021
A charge-based low-power high-SNR capacitive sensing interface circuit
SY Peng, MS Qureshi, PE Hasler, A Basu, FL Degertekin
IEEE Transactions on Circuits and Systems I: Regular Papers 55 (7), 1863-1872, 2008
Neural dynamics in reconfigurable silicon
A Basu, S Ramakrishnan, C Petre, S Koziol, S Brink, PE Hasler
IEEE Transactions on Biomedical Circuits and Systems 4 (5), 311-319, 2010
Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
RA John, N Tiwari, MIB Patdillah, MR Kulkarni, N Tiwari, J Basu, SK Bose, ...
Nature communications 11 (1), 4030, 2020
An extreme learning machine-based neuromorphic tactile sensing system for texture recognition
M Rasouli, Y Chen, A Basu, SL Kukreja, NV Thakor
IEEE transactions on biomedical circuits and systems 12 (2), 313-325, 2018
A noise filtering algorithm for event-based asynchronous change detection image sensors on truenorth and its implementation on truenorth
V Padala, A Basu, G Orchard
Frontiers in neuroscience 12, 118, 2018
Silicon spiking neurons for hardware implementation of extreme learning machines
A Basu, S Shuo, H Zhou, MH Lim, GB Huang
Neurocomputing 102, 125-134, 2013
Nullcline-based design of a silicon neuron
A Basu, PE Hasler
IEEE Transactions on Circuits and Systems I: Regular Papers 57 (11), 2938-2947, 2010
Ultralow power dual-gated subthreshold oxide neuristors: an enabler for higher order neuronal temporal correlations
RA John, N Tiwari, C Yaoyi, Ankit, N Tiwari, M Kulkarni, A Nirmal, ...
ACS nano 12 (11), 11263-11273, 2018
Powering the IoT through embedded machine learning and LoRa
VM Suresh, R Sidhu, P Karkare, A Patil, Z Lei, A Basu
2018 IEEE 4th World Forum on Internet of Things (WF-IoT), 349-354, 2018
Liquid state machine with dendritically enhanced readout for low-power, neuromorphic VLSI implementations
S Roy, A Banerjee, A Basu
IEEE transactions on biomedical circuits and systems 8 (5), 681-695, 2014
Spiking neural network integrated circuits: A review of trends and future directions
A Basu, L Deng, C Frenkel, X Zhang
2022 IEEE Custom Integrated Circuits Conference (CICC), 1-8, 2022
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