Journal Papers
- A. Gangopadhyay and S. Chakrabartty.
A Sparsity-driven Backpropagation-less
Learning Framework using Populations of Spiking Growth Transform Neurons. Frontiers in Neuroscience, 2021.
- A. Gangopadhyay, D. Mehta and S. Chakrabartty.
A Spiking Neuron and Population Model
based on the Growth Transform Dynamical System. Frontiers in Neuroscience, 2020.
- N. K. Sharma, V. Krishnamohan, S. Ganapathy, A. Gangopadhyay and L. Fink.
Acoustic and Linguistic Features Influence
Talker Change Detection. Journal of the Acoustical Society of America, 2020.
- A. Gangopadhyay and S. Chakrabartty.
Spiking, Bursting, and Population Dynamics in a
Network of Growth Transform Neurons. IEEE Transactions on Neural Networks and Learning Systems, 2018.
- A. Gangopadhyay*, O. Chatterjee* and S. Chakrabartty.
Extended Polynomial Growth Transforms
for Design and Training of Generalized Support Vector Machines. IEEE Transactions on Neural
Networks and Learning Systems, 2018.
- A. Gangopadhyay*, K. Aono, D. Mehta and S. Chakrabartty.
A Coupled Network of Growth Transform Neurons for Spike-Encoded
Auditory Feature Extraction. bioRxiv, 2018.
Conference Papers
- N. Sharma, V. Krishnamohan, S. Ganapathy, A. Gangopadhyay and L. Fink.
On The Impact
of Language Familiarity in Talker Change Detection. International Conference on Acoustics,
Speech and Signal Processing (ICASSP) 2020.
- L. Zhang*, S. Nizampatnam*, A. Gangopadhyay* and M. V. Conde*.
Multi-attention Networks
for Temporal Localization of Video-level Labels. International Conference on Computer Vision
(ICCV) 2019 workshop on 'The 3rd YouTube-8M Video Understanding Challenge'.
- D. Mehta, A. Gangopadhyay, K. Aono and S. Chakrabartty. A Software Framework for Simulating
Large-Scale Population Dynamics of Growth Transform Spiking Neural Network. Poster, Society for
Neuroscience 2018, San Diego, USA.
- A. Gangopadhyay*, O. Chatterjee* and S. Chakrabartty.
Continuous-time Optimization using
Sub-threshold Current-mode Growth Transform Circuits. Poster, IEEE International Midwest Symposium
on Circuits and Systems 2018, Windsor, Canada.
- J. Mackay, S. Ebner, A. Gangopadhyay and S. Chakrabartty.
FPGA Demonstration of Spiking Support
Vector Networks Based on Growth Transform Neurons. Live demonstration and poster, IEEE International
Symposium on Circuits and Systems 2017, Baltimore, USA.
- O. Chatterjee, A. Gangopadhyay and A. Chatterjee.
Use of statistical methods for dimensionality
reduction in hand shape identification employing Radon Transform and Collaborative Representation
based Classification. International Conference on Electronic Systems, Signal Processing and Computing
Technologies 2014, Nagpur, India.
- O. Chatterjee, S. Mitra and A. Gangopadhyay.
A capacitive level-monitoring system with ANN based
linearization. IEEE International Conference on Electronics, Computing and Communication Technologies
2014, Bangalore, India.
- A. Gangopadhyay, O. Chatterjee and A. Chatterjee.
Hand Shape Based Biometric Authentication System
using Radon Transform and Collaborative Representation based Classification. IEEE 2nd International Conference
on Image Information Processing 2013, Shimla, India.
Patent
- S. Chakrabartty and A. Gangopadhyay. Growth Transform Neural Network, Neuromorphic Processsors and
Analog-to-digital Converters. Washington University in St. Louis, Disclosure Reference Number, 016836,
2017 (pending).