Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 41

1.

Towards spike-based machine intelligence with neuromorphic computing.

Roy K, Jaiswal A, Panda P.

Nature. 2019 Nov;575(7784):607-617. doi: 10.1038/s41586-019-1677-2. Epub 2019 Nov 27. Review.

PMID:
31776490
2.

Tree-CNN: A hierarchical Deep Convolutional Neural Network for incremental learning.

Roy D, Panda P, Roy K.

Neural Netw. 2019 Sep 19;121:148-160. doi: 10.1016/j.neunet.2019.09.010. [Epub ahead of print]

PMID:
31563011
3.

Reinforcement Learning With Low-Complexity Liquid State Machines.

Ponghiran W, Srinivasan G, Roy K.

Front Neurosci. 2019 Aug 27;13:883. doi: 10.3389/fnins.2019.00883. eCollection 2019.

4.

Alpha Globin Gene Mutation: A Major Determinant of Hydroxyurea Response in Transfusion-Dependent HbE-β-Thalassaemia.

Biswas S, Ray R, Roy K, Bandyopadhyay A, Ghosh K, Bhattacharyya M.

Acta Haematol. 2019;142(3):132-141. doi: 10.1159/000495453. Epub 2019 Jul 26.

PMID:
31352439
5.

Synthesizing Images From Spatio-Temporal Representations Using Spike-Based Backpropagation.

Roy D, Panda P, Roy K.

Front Neurosci. 2019 Jun 18;13:621. doi: 10.3389/fnins.2019.00621. eCollection 2019.

6.

Analysis of Liquid Ensembles for Enhancing the Performance and Accuracy of Liquid State Machines.

Wijesinghe P, Srinivasan G, Panda P, Roy K.

Front Neurosci. 2019 May 28;13:504. doi: 10.3389/fnins.2019.00504. eCollection 2019.

7.

Perovskite nickelates as bio-electronic interfaces.

Zhang HT, Zuo F, Li F, Chan H, Wu Q, Zhang Z, Narayanan B, Ramadoss K, Chakraborty I, Saha G, Kamath G, Roy K, Zhou H, Chubykin AA, Sankaranarayanan SKRS, Choi JH, Ramanathan S.

Nat Commun. 2019 Apr 10;10(1):1651. doi: 10.1038/s41467-019-09660-6.

8.

ReStoCNet: Residual Stochastic Binary Convolutional Spiking Neural Network for Memory-Efficient Neuromorphic Computing.

Srinivasan G, Roy K.

Front Neurosci. 2019 Mar 19;13:189. doi: 10.3389/fnins.2019.00189. eCollection 2019.

9.

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures.

Sengupta A, Ye Y, Wang R, Liu C, Roy K.

Front Neurosci. 2019 Mar 7;13:95. doi: 10.3389/fnins.2019.00095. eCollection 2019.

10.

Treatment of locally advanced carcinoma cervix with special emphasis on brachytherapy: A practice pattern survey among young radiation oncologist of India.

Bandyopadhyay A, Basu P, Roy K, Das S, Banerjee S.

South Asian J Cancer. 2018 Oct-Dec;7(4):231-235. doi: 10.4103/sajc.sajc_198_17.

11.

Genetic determinants related to pharmacological induction of foetal haemoglobin in transfusion-dependent HbE-β thalassaemia.

Biswas S, Nag A, Ghosh K, Ray R, Roy K, Bandyopadhyay A, Bhattacharyya M.

Ann Hematol. 2019 Feb;98(2):289-299. doi: 10.1007/s00277-018-3536-x. Epub 2018 Nov 9.

PMID:
30413899
12.

SpiLinC: Spiking Liquid-Ensemble Computing for Unsupervised Speech and Image Recognition.

Srinivasan G, Panda P, Roy K.

Front Neurosci. 2018 Aug 23;12:524. doi: 10.3389/fnins.2018.00524. eCollection 2018.

13.

Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons.

Chakraborty I, Saha G, Sengupta A, Roy K.

Sci Rep. 2018 Aug 28;8(1):12980. doi: 10.1038/s41598-018-31365-x.

14.

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning.

Lee C, Panda P, Srinivasan G, Roy K.

Front Neurosci. 2018 Aug 3;12:435. doi: 10.3389/fnins.2018.00435. eCollection 2018.

15.

Analog Approach to Constraint Satisfaction Enabled by Spin Orbit Torque Magnetic Tunnel Junctions.

Wijesinghe P, Liyanagedera C, Roy K.

Sci Rep. 2018 May 2;8(1):6940. doi: 10.1038/s41598-018-24877-z.

16.

In-situ, In-Memory Stateful Vector Logic Operations based on Voltage Controlled Magnetic Anisotropy.

Jaiswal A, Agrawal A, Roy K.

Sci Rep. 2018 Apr 10;8(1):5738. doi: 10.1038/s41598-018-23886-2.

17.

Learning to Generate Sequences with Combination of Hebbian and Non-hebbian Plasticity in Recurrent Spiking Neural Networks.

Panda P, Roy K.

Front Neurosci. 2017 Dec 12;11:693. doi: 10.3389/fnins.2017.00693. eCollection 2017.

18.

Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference.

Shim Y, Chen S, Sengupta A, Roy K.

Sci Rep. 2017 Oct 26;7(1):14101. doi: 10.1038/s41598-017-14240-z.

19.

Staged Inference using Conditional Deep Learning for energy efficient real-time smart diagnosis.

Parsa M, Panda P, Sen S, Roy K.

Conf Proc IEEE Eng Med Biol Soc. 2017 Jul;2017:78-81. doi: 10.1109/EMBC.2017.8036767.

PMID:
29059815
20.

Magnetic Tunnel Junction as an On-Chip Temperature Sensor.

Sengupta A, Liyanagedera CM, Jung B, Roy K.

Sci Rep. 2017 Sep 18;7(1):11764. doi: 10.1038/s41598-017-11476-7.

Supplemental Content

Loading ...
Support Center