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ORCIDNarayan Srinivasa
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2020 – today
- 2024
[i4]Mike Heddes, Narayan Srinivasa, Tony Givargis, Alexandru Nicolau:
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration. CoRR abs/2401.06898 (2024)- [i3]Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani:
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. CoRR abs/2403.05763 (2024) - 2023
- [c19]Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim:
Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. DAC 2023: 1-6 - [c18]Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani:
Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD 2023: 1-8
2010 – 2019
- 2019
- [j28]Praveen K. Pilly, Nigel Stepp, Yannis Liapis, David W. Payton, Narayan Srinivasa:
Hypercolumn Sparsification for Low-Power Convolutional Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 15(2): 20:1-20:16 (2019) - [j27]Bipin Rajendran
, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou:
Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches. IEEE Signal Process. Mag. 36(6): 97-110 (2019) - [i2]Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou:
Low-Power Neuromorphic Hardware for Signal Processing Applications. CoRR abs/1901.03690 (2019) - 2018
- [j26]Mike Davies, Narayan Srinivasa, Tsung-Han Lin, Gautham N. Chinya, Yongqiang Cao, Sri Harsha Choday, Georgios D. Dimou, Prasad Joshi, Nabil Imam, Shweta Jain, Yuyun Liao, Chit-Kwan Lin, Andrew Lines, Ruokun Liu, Deepak Mathaikutty, Steven McCoy, Arnab Paul, Jonathan Tse, Guruguhanathan Venkataramanan, Yi-Hsin Weng, Andreas Wild, Yoonseok Yang, Hong Wang:
Loihi: A Neuromorphic Manycore Processor with On-Chip Learning. IEEE Micro 38(1): 82-99 (2018) - 2017
- [c17]Narayan Srinivasa:
Implications of a spontaneously active ground state for computing with brain-inspired circuits. ISCAS 2017: 1-4 - [i1]Priyadarshini Panda, Narayan Srinivasa:
Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model. CoRR abs/1710.07354 (2017) - 2015
- [j25]Nigel Stepp, Dietmar Plenz, Narayan Srinivasa:
Synaptic Plasticity Enables Adaptive Self-Tuning Critical Networks. PLoS Comput. Biol. 11(1) (2015) - 2014
- [j24]Michael John O'Brien, Corey M. Thibeault, Narayan Srinivasa:
A novel analytical characterization for short-term plasticity parameters in spiking neural networks. Frontiers Comput. Neurosci. 8: 148 (2014) - [j23]Narayan Srinivasa, Youngkwan Cho:
Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticity. Frontiers Comput. Neurosci. 8: 159 (2014) - [j22]Corey M. Thibeault, Michael John O'Brien, Narayan Srinivasa:
Analyzing large-scale spiking neural data with HRLAnalysis™. Frontiers Neuroinformatics 8: 17 (2014) - [j21]Corey M. Thibeault, Frederick C. Harris Jr., Narayan Srinivasa:
Using Games to Embody Spiking Neural Networks for Neuromorphic Hardware. Int. J. Comput. Their Appl. 21(1): 40-53 (2014) - [j20]Kirill Minkovich, Corey M. Thibeault, Michael John O'Brien, Aleksey Nogin, Youngkwan Cho, Narayan Srinivasa:
HRLSim: A High Performance Spiking Neural Network Simulator for GPGPU Clusters. IEEE Trans. Neural Networks Learn. Syst. 25(2): 316-331 (2014) - [j19]Narayan Srinivasa, Deying Zhang, Beayna Grigorian:
A Robust and Scalable Neuromorphic Communication System by Combining Synaptic Time Multiplexing and MIMO-OFDM. IEEE Trans. Neural Networks Learn. Syst. 25(3): 585-608 (2014) - 2013
- [j18]Narayan Srinivasa, Qin Jiang:
Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticity. Frontiers Comput. Neurosci. 7: 10 (2013) - [j17]Corey M. Thibeault, Kirill Minkovich, Michael John O'Brien, Frederick C. Harris Jr., Narayan Srinivasa:
Efficiently passing messages in distributed spiking neural network simulation. Frontiers Comput. Neurosci. 7: 77 (2013) - [j16]Karl P. Dockendorf, Narayan Srinivasa:
Learning and prospective recall of noisy spike pattern episodes. Frontiers Comput. Neurosci. 7: 80 (2013) - [j15]Corey M. Thibeault, Narayan Srinivasa:
Using a hybrid neuron in physiologically inspired models of the basal ganglia. Frontiers Comput. Neurosci. 7: 88 (2013) - [j14]Michael John O'Brien, Narayan Srinivasa:
A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards. Neural Comput. 25(1): 123-156 (2013) - [c16]Suhas E. Chelian, Narayan Srinivasa:
A spiking thalamus model for form and motion processing of images. IJCNN 2013: 1-6 - [c15]Narayan Srinivasa:
A compiler for scalable placement and routing of brain-like architectures. ISPD 2013: 120-121 - 2012
- [j13]Narayan Srinivasa, Rajan Bhattacharyya, Rashmi Sundareswara, Craig Lee, Stephen Grossberg:
A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots. Neural Networks 35: 54-69 (2012) - [j12]Jose M. Cruz-Albrecht, Michael W. Yung, Narayan Srinivasa:
Energy-Efficient Neuron, Synapse and STDP Integrated Circuits. IEEE Trans. Biomed. Circuits Syst. 6(3): 246-256 (2012) - [j11]Kirill Minkovich, Narayan Srinivasa, Jose M. Cruz-Albrecht, Youngkwan Cho, Aleksey Nogin:
Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler. IEEE Trans. Neural Networks Learn. Syst. 23(6): 889-901 (2012) - [j10]Narayan Srinivasa, Youngkwan Cho:
Self-Organizing Spiking Neural Model for Learning Fault-Tolerant Spatio-Motor Transformations. IEEE Trans. Neural Networks Learn. Syst. 23(10): 1526-1538 (2012) - 2010
- [c14]Narayan Srinivasa, Suhas E. Chelian:
A Bio-inspired Model for Executive Control. BICA 2010: 137-146
2000 – 2009
- 2008
- [j9]Narayan Srinivasa, Stephen Grossberg:
A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model. Neural Networks 21(9): 1380-1391 (2008) - [c13]Rajan Bhattacharyya, Narayan Srinivasa, Stephen Grossberg:
Bio-Inspired Planning and Reaching in Complex Environments. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 35 - [c12]Narayan Srinivasa, Stephen Grossberg:
Learning Invariant Sensory-Motor Transforms for Fault-Tolerant Control of Redundant Robots. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures 2008: 186 - [c11]Narayan Srinivasa, Qin Jiang, Leandro G. Barajas:
High-Impact Event Prediction by Temporal Data Mining through Genetic Algorithms. ICNC (1) 2008: 614-620 - 2007
- [c10]Narayan Srinivasa, Stephen Grossberg:
A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots. IJCNN 2007: 483-488 - 2005
- [c9]Payam Saisan, Swarup Medasani, Narayan Srinivasa, Yuri Owechko:
Modeling of pedestrian motion for recognition. Electronic Imaging: Image and Video Communications and Processing 2005 - 2004
- [c8]Yuri Owechko, Swarup Medasani, Narayan Srinivasa:
Classifier Swarms for Human Detection in Infrared Imagery. CVPR Workshops 2004: 121 - [c7]Narayan Srinivasa, Swarup Medasani:
Active fuzzy clustering for collaborative filtering. FUZZ-IEEE 2004: 1697-1702 - 2003
- [c6]Narayan Srinivasa, Swarup Medasani, Yuri Owechko, Deepak Khosla:
Fuzzy edge-symmetry features for improved intruder detection. FUZZ-IEEE 2003: 920-925 - 2001
- [c5]Swarup Medasani, Narayan Srinivasa, Yuri Owechko:
An On-line Method for Self Organized Learningn and Extraction of Fuzzy From High Dimensional Data. FUZZ-IEEE 2001: 670-674
1990 – 1999
- 1999
- [j8]Narayan Srinivasa, Narendra Ahuja:
A topological and temporal correlator network for spatiotemporal pattern learning, recognition, and recall. IEEE Trans. Neural Networks 10(2): 356-371 (1999) - 1998
- [j7]Narayan Srinivasa, Rajeev Sharma:
Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision Applications. Neural Networks 11(1): 153-171 (1998) - [j6]Rajeev Sharma, Narayan Srinivasa:
A framework for active vision-based robot control using neural networks. Robotica 16(3): 309-327 (1998) - [c4]Benoit Perrin, Narendra Ahuja, Narayan Srinivasa:
Learning Multiscale Image Models of 2D Object Classes. ACCV (2) 1998: 323-331 - [c3]Narayan Srinivasa, Narendra Ahuja:
A Learning Approach to Fixating on 3D Targets with Active Cameras. ACCV (1) 1998: 623-631 - 1997
- [j5]Attawith Sudsang, Jean Ponce, Narayan Srinivasa:
Grasping and in-hand manipulation: experiments with a reconfigurable gripper. Adv. Robotics 12(5): 509-533 (1997) - [j4]Narayan Srinivasa, Rajeev Sharma:
SOIM: a self-organizing invertible map with applications in active vision. IEEE Trans. Neural Networks 8(3): 758-773 (1997) - [j3]Narayan Srinivasa:
Learning and generalization of noisy mappings using a modified PROBART neural network. IEEE Trans. Signal Process. 45(10): 2533-2550 (1997) - [c2]Attawith Sudsang, Narayan Srinivasa, Jean Ponce:
On planning immobilizing grasps for a reconfigurable gripper. IROS 1997: 106-113 - 1996
- [c1]Rajeev Sharma, Narayan Srinivasa:
A framework for robot control with active vision using a neural network based spatial representation. ICRA 1996: 1966-1971 - 1993
- [j2]Narayan Srinivasa, Musa K. Jouaneh:
An invariant pattern recognition machine using a modified ART architecture. IEEE Trans. Syst. Man Cybern. 23(5): 1432-1437 (1993) - 1992
- [j1]Narayan Srinivasa, Musa K. Jouaneh:
A neural network model for invariant pattern recognition. IEEE Trans. Signal Process. 40(6): 1595-1599 (1992)
Coauthor Index
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