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2020 – today
- 2024
[j26]Adithya Krishna
, Srikanth Rohit Nudurupati, Chandana D. G, Pritesh Dwivedi, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
RAMAN: A Reconfigurable and Sparse tinyML Accelerator for Inference on Edge. IEEE Internet Things J. 11(14): 24831-24845 (2024)- [j25]Chetan Singh Thakur, Udayan Ganguly:
Editorial: Focus on Neuromorphic Circuits and Systems using Emerging Devices. Neuromorph. Comput. Eng. 4(1): 10201 (2024) - [j24]Lakshmi Annamalai, Chetan Singh Thakur:
Beyond supervision: An unsupervised spatio-temporal point cloud noise modeling for event vision sensor. Pattern Recognit. Lett. 184: 162-168 (2024) - [j23]Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur:
EventMASK: A Frame-Free Rapid Human Instance Segmentation With Event Camera Through Constrained Mask Propagation. IEEE Robotics Autom. Lett. 9(4): 3948-3955 (2024) - [j22]Lakshmi Annamalai, Chetan Singh Thakur:
EventASEG: An Event-Based Asynchronous Segmentation of Road With Likelihood Attention. IEEE Robotics Autom. Lett. 9(8): 6951-6958 (2024) - [j21]Prince Philip, Kapil Jainwal, André van Schaik, Chetan Singh Thakur:
Tau-Cell-Based Analog Silicon Retina With Spatio- Temporal Filtering and Contrast Gain Control. IEEE Trans. Biomed. Circuits Syst. 18(2): 423-437 (2024) - [j20]Pratik Kumar, Ankita Nandi, Ayan Saha, Kurupati Sai Pruthvi Teja, Ratul Das, Shantanu Chakrabartty, Chetan Singh Thakur:
ARYABHAT: A Digital-Like Field Programmable Analog Computing Array for Edge AI. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2252-2265 (2024) - [c40]Adithya Krishna, Ashwin Rajesh, Hitesh Pavan Oleti, Anand Chauhan, Shankaranarayanan H, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator. ISCAS 2024: 1 - [c39]Satyapreet Singh Yadav, Shreyansh Anand, Adithya M. D, Dasari Sai Nikitha, Chetan Singh Thakur:
tinyRadar: LSTM-based Real-time Multi-target Human Activity Recognition for Edge Computing. ISCAS 2024: 1-5 - [c38]Abhishek Ramdas Nair, Pallab Kumar Nath, Shantanu Chakrabartty, Chetan Singh Thakur:
Multiplierless In-filter Computing for tinyML Platforms. VLSID 2024: 192-197 - [c37]Ankita Nandi, Pratik Kumar, Shantanu Chakrabartty, Chetan Singh Thakur:
Margin Propagation based Analog Soft-Gates for Probabilistic Computing. VLSID 2024: 378-383 - [i32]Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
Margin Propagation based XOR-SAT Solvers for Decoding of LDPC Codes. CoRR abs/2402.04959 (2024) - [i31]Lakshmi Annamalai, Chetan Singh Thakur:
EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm. CoRR abs/2402.10078 (2024) - [i30]Pradeep Kumar Gautam, Shantharam Kalipatnapu, Shankaranarayanan H, Ujjawal Singhal, Benjamin Lienhard, Vibhor Singh, Chetan Singh Thakur:
Low-latency machine learning FPGA accelerator for multi-qubit state discrimination. CoRR abs/2407.03852 (2024) - [i29]Ankita Nandi, Krishil Gandhi, Mahendra Pratap Singh, Shantanu Chakrabartty, Chetan Singh Thakur:
KALAM: toolKit for Automating high-Level synthesis of Analog computing systeMs. CoRR abs/2410.22946 (2024) - 2023
- [j19]Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
Bias-Scalable Near-Memory CMOS Analog Processor for Machine Learning. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 312-322 (2023) - [j18]Madhuvanthi Srivatsav R, Shantanu Chakrabartty, Chetan Singh Thakur:
Neuromorphic Computing With Address-Event-Representation Using Time-to-Event Margin Propagation. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1114-1124 (2023) - [j17]Satyapreet Singh Yadav, Radha Agarwal, Kola Bharath, Sandeep Rao, Chetan Singh Thakur:
tinyRadar for Fitness: A Contactless Framework for Edge Computing. IEEE Trans. Biomed. Circuits Syst. 17(2): 192-201 (2023) - [j16]Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
Process, Bias, and Temperature Scalable CMOS Analog Computing Circuits for Machine Learning. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 128-141 (2023) - [j15]Ujjawal Singhal, Shantharam Kalipatnapu, Pradeep Kumar Gautam, Sourav Majumder, Vaibhav Venkata Lakshmi Pabbisetty, Srivatsava Jandhyala, Vibhor Singh, Chetan Singh Thakur:
SQ-CARS: A Scalable Quantum Control and Readout System. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [c36]Satyapreet Singh Yadav, Chetan Singh Thakur, Adithya M. D, Shreyansh Anand, Madhu Munasala, Dileep Kankipati:
Live Demonstration: Real-time Gesture Recognition Using tinyRadar for Edge Computing. AIMLSystems 2023: 46:1-46:2 - [c35]Dileep Kankipati, Madhu Munasala, Dasari Sai Nikitha, Satyapreet Singh Yadav, Sandeep Rao, Chetan Singh Thakur:
tinyRadar for Gesture Recognition: A Low-power System for Edge Computing. APCCAS 2023: 75-79 - [c34]Adithya Krishna, Hitesh Pavan Oleti, Anand Chauhan, H. Shankaranarayanan, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator. BioCAS 2023: 1 - [c33]Adithya Krishna, Vignesh Ramanathan, Satyapreet Singh Yadav, Sahil Shah, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces. BioCAS 2023: 1-5 - [i28]Abhishek Ramdas Nair, Pallab Kumar Nath, Shantanu Chakrabartty, Chetan Singh Thakur:
Multiplierless In-filter Computing for tinyML Platforms. CoRR abs/2304.11816 (2023) - [i27]Madhuvanthi Srivatsav R, Shantanu Chakrabartty, Chetan Singh Thakur:
Neuromorphic Computing with AER using Time-to-Event-Margin Propagation. CoRR abs/2304.13918 (2023) - [i26]Adithya Krishna, Srikanth Rohit Nudurupati, Chandana D. G, Pritesh Dwivedi, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge. CoRR abs/2306.06493 (2023) - 2022
- [j14]Abhishek Ramdas Nair, Shantanu Chakrabartty, Chetan Singh Thakur:
In-Filter Computing for Designing Ultralight Acoustic Pattern Recognizers. IEEE Internet Things J. 9(8): 6095-6106 (2022) - [j13]Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur:
Event-LSTM: An Unsupervised and Asynchronous Learning-Based Representation for Event-Based Data. IEEE Robotics Autom. Lett. 7(2): 4678-4685 (2022) - [j12]Sarthak Gupta, Satrajit Chakraborty, Chetan Singh Thakur:
Neuromorphic Time-Multiplexed Reservoir Computing With On-the-Fly Weight Generation for Edge Devices. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2676-2685 (2022) - [j11]Abhishek Ramdas Nair, Pallab Kumar Nath, Shantanu Chakrabartty, Chetan Singh Thakur:
Multiplierless MP-Kernel Machine for Energy-Efficient Edge Devices. IEEE Trans. Very Large Scale Integr. Syst. 30(11): 1601-1614 (2022) - [c32]Hemanth Reddy Sabbella, Abhishek Ramdas Nair, V. Gumme, Satyapreet Singh Yadav, Shantanu Chakrabartty, Chetan Singh Thakur:
An Always-On tinyML Acoustic Classifier for Ecological Applications. ISCAS 2022: 2393-2396 - [c31]Satyapreet Singh Yadav, Radha Agarwal, Kola Bharath, Sandeep Rao, Chetan Singh Thakur:
tinyRadar: mmWave Radar based Human Activity Classification for Edge Computing. ISCAS 2022: 2414-2417 - [i25]Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
CMOS Circuits for Shape-Based Analog Machine Learning. CoRR abs/2202.05022 (2022) - [i24]Pratik Kumar, Ankita Nandi, Shantanu Chakrabartty, Chetan Singh Thakur:
Theory and Implementation of Process and Temperature Scalable Shape-based CMOS Analog Circuits. CoRR abs/2205.05664 (2022) - [i23]Lakshmi Annamalai, Chetan Singh Thakur:
Theroretical Insight into Batch Normalization: Data Dependant Auto-Tuning of Regularization Rate. CoRR abs/2209.07587 (2022) - 2021
- [j10]Adithya Krishna, André van Schaik, Chetan Singh Thakur:
FPGA Implementation of Particle Filters for Robotic Source Localization. IEEE Access 9: 98185-98203 (2021) - [j9]Adithya Krishna, Divyansh Mittal, Siri Garudanagiri Virupaksha, Abhishek Ramdas Nair, Rishikesh Narayanan, Chetan Singh Thakur:
Biomimetic FPGA-based spatial navigation model with grid cells and place cells. Neural Networks 139: 45-63 (2021) - [j8]Jamal Lottier Molin, Chetan Singh Thakur, Ernst Niebur, Ralph Etienne-Cummings:
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model With a Hybrid FPGA Implementation. IEEE Trans. Biomed. Circuits Syst. 15(3): 580-594 (2021) - [c30]Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Anirban Chakraborty, Chetan Singh Thakur:
Real-Time Object Detection and Localization in Compressive Sensed Video. ICIP 2021: 1489-1493 - [c29]Adithya Krishna, Chetan Singh Thakur:
Bayesian Source Localization Using Stochastic Computation. ISCAS 2021: 5 - [i22]Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur:
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data. CoRR abs/2105.04216 (2021) - [i21]Abhishek Ramdas Nair, Pallab Kumar Nath, Shantanu Chakrabartty, Chetan Singh Thakur:
Multiplierless MP-Kernel Machine For Energy-efficient Edge Devices. CoRR abs/2106.01958 (2021) - [i20]Abhishek Ramdas Nair, Shantanu Chakrabartty, Chetan Singh Thakur:
In-filter Computing For Designing Ultra-light Acoustic Pattern Recognizers. CoRR abs/2109.06171 (2021) - 2020
- [j7]Ashish Rao Mangalore, Chandra Sekhar Seelamantula, Chetan Singh Thakur:
Neuromorphic Fringe Projection Profilometry. IEEE Signal Process. Lett. 27: 1510-1514 (2020) - [j6]Jie Zhang, Jonathan P. Newman, Xiao Wang, Chetan Singh Thakur, John M. Rattray, Ralph Etienne-Cummings, Matthew A. Wilson:
A Closed-Loop, All-Electronic Pixel-Wise Adaptive Imaging System for High Dynamic Range Videography. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(6): 1803-1814 (2020) - [c28]Jie Zhang, Adam Khalifa, Samuel Spetalnick, Milad Alemohammad, John M. Rattray, Chetan Singh Thakur, Adebayo Eisape, Ralph Etienne-Cummings:
A Miniature Wireless Silicon-on-Insulator Image Sensor for Brain Fluorescence Imaging. EMBC 2020: 3403-3406 - [c27]Alin Thomas Tharakan, Dheeraj Bhaskar, Chetan Singh Thakur:
Implementation of Bayesian Fly Tracking Model using Analog Neuromorphic Circuits. ISCAS 2020: 1-5 - [c26]Abin Bassam Ayub, Pallab Kumar Nath, Venkat Rangan, Chetan Singh Thakur:
FPGA based Compressive Sensing Framework for Video Compression on Edge Devices. VDAT 2020: 1-5 - [c25]Vignesh Ramanathan, Pritesh Dwivedi, Bharath Katabathuni, Anirban Chakraborty, Chetan Singh Thakur:
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware. WACV 2020: 1667-1677 - [i19]Jamal Lottier Molin, Chetan Singh Thakur, Ralph Etienne-Cummings, Ernst Niebur:
A Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation. CoRR abs/2002.11898 (2020) - [i18]Adithya Krishna, André van Schaik, Chetan Singh Thakur:
Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement. CoRR abs/2010.11911 (2020)
2010 – 2019
- 2019
- [j5]Annamalai Lakshmi, Anirban Chakraborty, Chetan Singh Thakur:
Neuromorphic vision: From sensors to event-based algorithms. WIREs Data Mining Knowl. Discov. 9(4) (2019) - [c24]Saurabh Kumar Gupta, Kundan Kumar, Chandra Sekhar Seelamantula, Chetan Singh Thakur:
A Portable Ultrasound Imaging System Utilizing Deep Generative Learning-Based Compressive Sensing On Pre-Beamformed RF Signals. EMBC 2019: 2740-2743 - [c23]Amol G. Mahurkar, Praveen Kumar Pokala, Chetan Singh Thakur, Chandra Sekhar Seelamantula:
SAMIR: Sparsity Amplified Iteratively-reweighted Beamforming for High-rsolution Ultrasound Imaging. ICASSP 2019: 1045-1049 - [c22]Sarthak Gupta, Pratik Kumar, Kundan Kumar, Satrajit Chakraborty, Chetan Singh Thakur:
Low Power Neuromorphic Analog System Based on Sub-Threshold Current Mode Circuits. ISCAS 2019: 1-5 - [c21]Sathyaprakash Narayanan, Yeshwanth Bethi, Jamal Lottier, Ernst Niebur, Ralph Etienne-Cummings, Chetan Singh Thakur:
Live Demonstration: Real-Time Implementation of Proto-Object Based Visual Saliency Model. ISCAS 2019: 1 - [c20]Bibrat Ranjan Pradhan, Yeshwanth Bethi, Sathyaprakash Narayanan, Anirban Chakraborty, Chetan Singh Thakur:
N-HAR: A Neuromorphic Event-Based Human Activity Recognition System using Memory Surfaces. ISCAS 2019: 1-5 - [c19]Raja Sharma, Sarthak Gupta, Kundan Kumar, Pratik Kumar, Chetan Singh Thakur:
Real-Time Image Segmentation using Neuromorphic Pixel Array. ISCAS 2019: 1-5 - [c18]Ankit Tripathi, Mehdi Arabizadeh, Sourabh Khandelwal, Chetan Singh Thakur:
Analog Neuromorphic System Based on Multi Input Floating Gate MOS Neuron Model. ISCAS 2019: 1-5 - [c17]Pratik Kumar, Abhishek Ramdas Nair, Oindrila Chatterjee, Tathagata Paul, Arindam Ghosh, Shantanu Chakrabartty, Chetan Singh Thakur:
Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines. MWSCAS 2019: 311-314 - [c16]K. P. Raghunath, K. V. Manu Sagar, T. Gokulan, Kundan Kumar, Chetan Singh Thakur:
ASIC Based LVDT Signal Conditioner for High-Accuracy Measurements. VDAT 2019: 385-397 - [i17]Pratik Kumar, Abhishek Ramdas Nair, Oindrila Chatterjee, Tathagata Paul, Arindam Ghosh, Shantanu Chakrabartty, Chetan Singh Thakur:
Neuromorphic In-Memory Computing Framework using Memtransistor Cross-bar based Support Vector Machines. CoRR abs/1903.12330 (2019) - [i16]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. CoRR abs/1904.03387 (2019) - [i15]Sathyaprakash Narayanan, Yeshwanth Bethi, Chetan Singh Thakur:
A Compressive Sensing Video dataset using Pixel-wise coded exposure. CoRR abs/1905.10054 (2019) - [i14]Jie Zhang, Jonathan P. Newman, Xiao Wang, Chetan Singh Thakur, John M. Rattray, Ralph Etienne-Cummings, Matthew A. Wilson:
A closed-loop all-electronic pixel-wise adaptive imaging system for high dynamic range video. CoRR abs/1906.10045 (2019) - [i13]Nazreen P. M., Shantanu Chakrabartty, Chetan Singh Thakur:
Multiplierless and Sparse Machine Learning based on Margin Propagation Networks. CoRR abs/1910.02304 (2019) - [i12]Lakshmi Annamalai, Anirban Chakraborty, Chetan Singh Thakur:
EvAn: Neuromorphic Event-based Anomaly Detection. CoRR abs/1911.09722 (2019) - [i11]Yeshwanth Ravi Theja Bethi, Sathyaprakash Narayanan, Venkat Rangan, Chetan Singh Thakur:
Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware. CoRR abs/1912.08519 (2019) - 2018
- [j4]Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton, Ralph Etienne-Cummings, Jonathan Tapson, André van Schaik:
An Analogue Neuromorphic Co-Processor That Utilizes Device Mismatch for Learning Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(4): 1174-1184 (2018) - [c15]Satrajit Chakraborty, Priyanka P, Sarthak Gupta, Saeed Afshar, Tara Julia Hamilton, Chetan Singh Thakur:
Neuromorphic Object Tracking Architecture, Based on Compound Eyes, and Implementation on FPGA. MWSCAS 2018: 668-671 - [i10]Runchun Wang, Chetan Singh Thakur, André van Schaik:
An FPGA-based Massively Parallel Neuromorphic Cortex Simulator. CoRR abs/1803.03015 (2018) - [i9]Chetan Singh Thakur, 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. CoRR abs/1805.08932 (2018) - 2017
- [j3]Runchun Wang, Chetan Singh Thakur, Gregory Cohen, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
Neuromorphic Hardware Architecture Using the Neural Engineering Framework for Pattern Recognition. IEEE Trans. Biomed. Circuits Syst. 11(3): 574-584 (2017) - [c14]Chetan Singh Thakur, Jamal Molin, Ralph Etienne-Cummings:
Real-time image segmentation using a spiking neuromorphic processor. CISS 2017: 1-6 - [c13]Chetan Singh Thakur, Jamal Molin, Ralph Etienne-Cummings, André van Schaik:
Inference in spiking Bayesian neurons using stochastic computation. CISS 2017: 1-4 - [c12]Jamal Lottier Molin, Adebayo Eisape, Chetan Singh Thakur, Vigil Varghese, Christian Brandli, Ralph Etienne-Cummings:
Low-power, low-mismatch, highly-dense array of VLSI Mihalas-Niebur neurons. ISCAS 2017: 1-4 - [c11]Chetan Singh Thakur, Jamal Lottier Molin, Tao Xiong, Jie Zhang, Ernst Niebur, Ralph Etienne-Cummings:
Neuromorphic visual saliency implementation using stochastic computation. ISCAS 2017: 1-4 - [c10]Tao Xiong, Jie Zhang, Chetan Singh Thakur, John M. Rattray, Sang Peter Chin, Trac D. Tran, Ralph Etienne-Cummings:
Live demonstration: A compact all-CMOS spatiotemporal compressed sensing video camera. ISCAS 2017: 1 - [c9]Tao Xiong, John M. Rattray, Jie Zhang, Chetan Singh Thakur, Sang Peter Chin, Trac D. Tran, Ralph Etienne-Cummings:
Spatiotemporal compressed sensing for video compression. MWSCAS 2017: 289-292 - 2016
- [j2]Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A Low Power Trainable Neuromorphic Integrated Circuit That Is Tolerant to Device Mismatch. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(2): 211-221 (2016) - [c8]Runchun Wang, Gregory Cohen, Chetan Singh Thakur, Jonathan Tapson, André van Schaik:
An SRAM-based implementation of a convolutional neural network. BioCAS 2016: 560-563 - [c7]Ying Xu, Chetan Singh Thakur, Ram Kuber Singh, Runchun Wang, Jonathan Tapson, André van Schaik:
Electronic cochlea: CAR-FAC model on FPGA. BioCAS 2016: 564-567 - [c6]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A stochastic approach to STDP. ISCAS 2016: 2082-2085 - [i8]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A Stochastic Approach to STDP. CoRR abs/1603.04080 (2016) - 2015
- [j1]Saeed Afshar, Libin George, Chetan Singh Thakur, Jonathan Tapson, André van Schaik, Philip de Chazal, Tara Julia Hamilton:
Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. IEEE Trans. Biomed. Circuits Syst. 9(2): 188-196 (2015) - [c5]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A compact aVLSI conductance-based silicon neuron. BioCAS 2015: 1-4 - [c4]Ying Xu, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Runchun Wang, André van Schaik:
A reconfigurable mixed-signal implementation of a neuromorphic ADC. BioCAS 2015: 1-4 - [c3]Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang, Jonathan Tapson, André van Schaik:
A neuromorphic hardware framework based on population coding. IJCNN 2015: 1-8 - [i7]Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Richard F. Lyon, André van Schaik:
FPGA Implementation of the CAR Model of the Cochlea. CoRR abs/1503.00504 (2015) - [i6]Chetan Singh Thakur, Tara Julia Hamilton, Runchun Wang, Jonathan Tapson, André van Schaik:
A neuromorphic hardware framework based on population coding. CoRR abs/1503.00505 (2015) - [i5]Chetan Singh Thakur, Runchun Wang, Saeed Afshar, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
An Online Learning Algorithm for Neuromorphic Hardware Implementation. CoRR abs/1505.02495 (2015) - [i4]Chetan Singh Thakur, Runchun Wang, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A Trainable Neuromorphic Integrated Circuit that Exploits Device Mismatch. CoRR abs/1507.02835 (2015) - [i3]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognition. CoRR abs/1507.05695 (2015) - [i2]Runchun Wang, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
A compact aVLSI conductance-based silicon neuron. CoRR abs/1509.00962 (2015) - [i1]Ying Xu, Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, Runchun Wang, André van Schaik:
A Reconfigurable Mixed-signal Implementation of a Neuromorphic ADC. CoRR abs/1509.00967 (2015) - 2014
- [c2]Chetan Singh Thakur, James Wright, Tara Julia Hamilton, Jonathan Tapson, André van Schaik:
Live demonstration: FPGA implementation of the CAR model of the cochlea. ISCAS 2014: 461 - [c1]Chetan Singh Thakur, Tara Julia Hamilton, Jonathan Tapson, André van Schaik, Richard F. Lyon:
FPGA implementation of the CAR Model of the cochlea. ISCAS 2014: 1853-1856
Coauthor Index
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