default search action
Narayan Srinivasa
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
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
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.
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-18 21:43 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: