Narayan Srinivasa, Ph.D. - Publications

Affiliations: 
1994 Mechanical Engineering University of Florida, Gainesville, Gainesville, FL, United States 
 1995-1998 University of Illinois, Urbana-Champaign, Urbana-Champaign, IL 
 1999-2015 HRL Laboratories 
Area:
Neural Networks

83 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Srinivasa N, Stepp ND, Cruz-Albrecht J. Criticality as a Set-Point for Adaptive Behavior in Neuromorphic Hardware. Frontiers in Neuroscience. 9: 449. PMID 26648839 DOI: 10.3389/fnins.2015.00449  1
2015 Stepp N, Plenz D, Srinivasa N. Synaptic plasticity enables adaptive self-tuning critical networks. Plos Computational Biology. 11: e1004043. PMID 25590427 DOI: 10.1371/journal.pcbi.1004043  0.68
2015 Srinivasa N. Design Considerations for a Computational Architecture of Human Cognition Emerging Nanoelectronic Devices. 456-466. DOI: 10.1002/9781118958254.ch23  0.68
2014 Srinivasa N, Cho Y. Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticity. Frontiers in Computational Neuroscience. 8: 159. PMID 25566045 DOI: 10.3389/fncom.2014.00159  0.68
2014 Srinivasa N, Zhang D, Grigorian B. A robust and scalable neuromorphic communication system by combining synaptic time multiplexing and MIMO-OFDM. Ieee Transactions On Neural Networks and Learning Systems. 25: 585-608. PMID 24807453 DOI: 10.1109/TNNLS.2013.2280126  0.68
2014 Minkovich K, Thibeault CM, O'Brien MJ, Nogin A, Cho Y, Srinivasa N. HRLSim: a high performance spiking neural network simulator for GPGPU clusters. Ieee Transactions On Neural Networks and Learning Systems. 25: 316-31. PMID 24807031 DOI: 10.1109/TNNLS.2013.2276056  0.68
2014 Thibeault CM, O'Brien MJ, Srinivasa N. Analyzing large-scale spiking neural data with HRLAnalysis(™). Frontiers in Neuroinformatics. 8: 17. PMID 24634655 DOI: 10.3389/fninf.2014.00017  0.68
2014 Wheeler D, Alvarado-Rodriguez I, Elliott K, Kally J, Hermiz J, Hunt H, Hussain T, Srinivasa N. Fabrication and characterization of tungsten-oxide-based memristors for neuromorphic circuits International Workshop On Cellular Nanoscale Networks and Their Applications. DOI: 10.1109/CNNA.2014.6888611  0.68
2014 De Sapio V, Srinivasa N. A methodology for controlling motion and constraint forces in holonomically constrained systems Multibody System Dynamics. 33: 179-204. DOI: 10.1007/s11044-014-9417-8  0.68
2014 Thibeault CM, Srinivasa N, Harris FC. A virtual environment framework for embedding neural models 29th International Conference On Computers and Their Applications, Cata 2014. 9-14.  0.68
2014 Thibeault CM, Harris FC, Srinivasa N. Using games to embody spiking neural networks for neuromorphic hardware International Journal of Computers and Their Applications. 21: 40-53.  0.68
2013 Cruz-Albrecht JM, Derosier T, Srinivasa N. A scalable neural chip with synaptic electronics using CMOS integrated memristors. Nanotechnology. 24: 384011. PMID 23999447 DOI: 10.1088/0957-4484/24/38/384011  0.68
2013 Thibeault CM, Srinivasa N. Using a hybrid neuron in physiologically inspired models of the basal ganglia. Frontiers in Computational Neuroscience. 7: 88. PMID 23847524 DOI: 10.3389/fncom.2013.00088  0.68
2013 Dockendorf K, Srinivasa N. Learning and prospective recall of noisy spike pattern episodes. Frontiers in Computational Neuroscience. 7: 80. PMID 23801961 DOI: 10.3389/fncom.2013.00080  0.68
2013 Thibeault CM, Minkovich K, O'Brien MJ, Harris FC, Srinivasa N. Efficiently passing messages in distributed spiking neural network simulation. Frontiers in Computational Neuroscience. 7: 77. PMID 23772213 DOI: 10.3389/fncom.2013.00077  0.68
2013 Srinivasa N, Jiang Q. Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticity. Frontiers in Computational Neuroscience. 7: 10. PMID 23450808 DOI: 10.3389/fncom.2013.00010  0.68
2013 O'Brien MJ, Srinivasa N. A spiking neural model for stable reinforcement of synapses based on multiple distal rewards. Neural Computation. 25: 123-56. PMID 23020112 DOI: 10.1162/NECO_a_00387  0.68
2013 Chelian SE, Srinivasa N. A spiking thalamus model for form and motion processing of images Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2013.6706790  0.68
2013 Thibeault CM, Harris FC, Srinivasa N. Embodied modeling with spiking neural networks for neuromorphic hardware: A simulation study 26th International Conference On Computer Applications in Industry and Engineering, Caine 2013. 3-10.  0.68
2012 Srinivasa N, Cho Y. Self-organizing spiking neural model for learning fault-tolerant spatio-motor transformations. Ieee Transactions On Neural Networks and Learning Systems. 23: 1526-38. PMID 24807999 DOI: 10.1109/TNNLS.2012.2207738  0.68
2012 Minkovich K, Srinivasa N, Cruz-Albrecht JM, Cho Y, Nogin A. Programming time-multiplexed reconfigurable hardware using a scalable neuromorphic compiler. Ieee Transactions On Neural Networks and Learning Systems. 23: 889-901. PMID 24806761 DOI: 10.1109/TNNLS.2012.2191795  0.68
2012 Cruz-Albrecht JM, Yung MW, Srinivasa N. Energy-efficient neuron, synapse and STDP integrated circuits. Ieee Transactions On Biomedical Circuits and Systems. 6: 246-56. PMID 23853146 DOI: 10.1109/TBCAS.2011.2174152  0.68
2012 Srinivasa N, Bhattacharyya R, Sundareswara R, Lee C, Grossberg S. A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots. Neural Networks : the Official Journal of the International Neural Network Society. 35: 54-69. PMID 22954479 DOI: 10.1016/j.neunet.2012.07.010  0.68
2012 Srinivasa N, Cruz-Albrecht J. Neuromorphic adaptive plastic scalable electronics: analog learning systems. Ieee Pulse. 3: 51-6. PMID 22344953 DOI: 10.1109/MPUL.2011.2175639  0.68
2012 Kim KH, Gaba S, Wheeler D, Cruz-Albrecht JM, Hussain T, Srinivasa N, Lu W. A functional hybrid memristor crossbar-array/CMOS system for data storage and neuromorphic applications. Nano Letters. 12: 389-95. PMID 22141918 DOI: 10.1021/nl203687n  0.68
2012 Stepp N, Srinivasa N. A Formal Model for Autocatakinetic Systems Ecological Psychology. 24: 204-219. DOI: 10.1080/10407413.2012.702619  0.68
2012 Srinivasa N, Chelian SE. Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex Biologically Inspired Cognitive Architectures. 2: 13-24. DOI: 10.1016/j.bica.2012.07.001  0.68
2011 Wheeler D, Kim KH, Gaba S, Wang E, Kim S, Valles I, Li J, Royter Y, Cruz-Albrecht J, Hussain T, Lu W, Srinivasa N. CMOS-integrated memristors for neuromorphic architectures 2011 International Semiconductor Device Research Symposium, Isdrs 2011. DOI: 10.1109/ISDRS.2011.6135279  0.68
2010 Srinivasa N, Chelian SE. A bio-inspired model for executive control Frontiers in Artificial Intelligence and Applications. 221: 137-146. DOI: 10.3233/978-1-60750-661-4-137  0.68
2010 Lu TC, Srinivasa N, Barajas LG. A survey on prognostic metrics Technical Program For the Mfpt 2010 Conference - Transition: From R and D to Product 0.68
2009 Barajas LG, Srinivasa N. Real-time diagnostics, prognostics & health management for large-scale manufacturing maintenance systems Proceedings of the Asme International Manufacturing Science and Engineering Conference, Msec2008. 2: 85-94. DOI: 10.1115/MSEC_ICMP2008-72511  1
2008 Srinivasa N, Grossberg S. A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model. Neural Networks : the Official Journal of the International Neural Network Society. 21: 1380-91. PMID 18775642 DOI: 10.1016/j.neunet.2008.07.007  1
2008 Srinivasa N, Qin J, Barajas LG. High-impact event prediction by temporal data mining through genetic algorithms Proceedings - 4th International Conference On Natural Computation, Icnc 2008. 1: 614-620. DOI: 10.1109/ICNC.2008.761  1
2008 Srinivasa N, Bhattacharyya R, Grossberg S. A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with redundant robots Proceedings of the 2nd Biennial Ieee/Ras-Embs International Conference On Biomedical Robotics and Biomechatronics, Biorob 2008. 7-14. DOI: 10.1109/BIOROB.2008.4762776  1
2008 Bhattacharyya R, Srinivasa N, Grossberg S. Bio-inspired planning and reaching in complex environments Aaai Fall Symposium - Technical Report. 35.  1
2008 Srinivasa N, Grossberg S. Learning invariant sensory-motor transforms for fault-tolerant control of redundant robots Aaai Fall Symposium - Technical Report. 186.  1
2007 Srinivasa N, Grossberg S. A self-organizing neural model for fault-tolerant control of redundant robots Ieee International Conference On Neural Networks - Conference Proceedings. 483-488. DOI: 10.1109/IJCNN.2007.4371004  1
2005 Srinivasa N, Ross R. An automated approach to design shape morphing strategies for reconfigurable surfaces Proceedings of Spie - the International Society For Optical Engineering. 5757: 164-171. DOI: 10.1117/12.601496  1
2005 Saisan P, Medasani S, Srinivasa N, Owechko Y. Modeling of pedestrian motion for recognition Proceedings of Spie - the International Society For Optical Engineering. 5685: 92-99. DOI: 10.1117/12.588344  1
2004 Srinivasa N, Medasani S. Active fuzzy clustering for collaborative filtering Ieee International Conference On Fuzzy Systems. 3: 1697-1702. DOI: 10.1109/FUZZY.2004.1375436  1
2004 Owechko Y, Medasani S, Srinivasa N. Classifier swarms for human detection in infrared imagery Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. 2004. DOI: 10.1109/CVPR.2004.313  1
2004 Medasani S, Srinivasa N, Owechko Y. Active learning system for object fingerprinting Ieee International Conference On Neural Networks - Conference Proceedings. 1: 345-350.  1
2003 Owechko Y, Srinivasa N, Medasani S, Boscolo R. Vision-based fusion system for smart airbag applications Ieee Intelligent Vehicles Symposium, Proceedings. 1: 245-250. DOI: 10.1109/IVS.2002.1187959  1
2003 Owechko Y, Srinivasa N, Medasani S, Boscolo R. High performance sensor fusion for vision-based occupant detection Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 2: 1128-1133. DOI: 10.1109/ITSC.2003.1252661  1
2003 Srinivasa N, Chen Y, Daniell C. A fusion system for real-time forward collision warning in automobiles Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc. 1: 457-462. DOI: 10.1109/ITSC.2003.1251996  1
2003 Srinivasa N, Medasani S, Owechko Y, Khosla D. Fuzzy edge-symmetry features for improved intruder detection Ieee International Conference On Fuzzy Systems. 2: 920-925.  1
2001 Srinivasa N, Medasani S, Owechko Y. An on-line method for self-organized learning and extraction of fuzzy rules from high dimensional data Ieee International Conference On Fuzzy Systems. 2: 670-674.  1
1999 Srinivasa N, Ahuja N. A topological and temporal correlator network for spatiotemporal pattern learning, recognition, and recall Ieee Transactions On Neural Networks. 10: 356-371. DOI: 10.1109/72.750565  1
1998 Sharma R, Srinivasa N. Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision Applications. Neural Networks : the Official Journal of the International Neural Network Society. 11: 153-171. PMID 12662855 DOI: 10.1016/S0893-6080(97)00076-2  1
1998 Sudsang A, Ponce J, Srinivasa N. Grasping and in-hand manipulation: Experiments with a reconfigurable gripper Advanced Robotics. 12: 509-533.  1
1998 Sharma R, Srinivasa N. A framework for active vision-based robot control using neural networks Robotica. 16: 309-327.  1
1997 Srinivasa N, Sharma R. SOIM: A self-organizing invertible map with applications in active vision Ieee Transactions On Neural Networks. 8: 758-773. DOI: 10.1109/72.572111  1
1997 Srinivasa N, Sharma R. Execution of saccades for active vision using a neurocontroller Ieee Control Systems Magazine. 17: 18-29. DOI: 10.1109/37.581292  1
1997 Srinivasa N, Ahuja N. A learning approach to fixating on 3D targets with active cameras Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1351: 623-631. DOI: 10.1007/3-540-63930-6_175  1
1997 Sudsang A, Srinivasa N, Ponce J. On planning immobilizing grasps for a reconfigurable gripper Ieee International Conference On Intelligent Robots and Systems. 1: 106-113.  1
1997 Perrin B, Ahuja N, Srinivasa N. Learning multiscale image models of 2D object classes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1352: 323-331.  1
1996 Sharma R, Srinivasa N. Active vision-based robot control for flexible assembly using a learning approach Proceedings of the Japan/Usa Symposium On Flexible Automation. 2: 921-928.  1
1996 Srinivasa N. Learning and generalization of noisy mappings using a modified PROBART neural network Ieee Transactions On Signal Processing. 44: 2660.  1
1996 Sharma R, Srinivasa N. Saccade control for an active stereo head using a learned spatial representation Ieee International Symposium On Intelligent Control - Proceedings. 91-96.  1
1996 Srinivasa N, Ziegert JC. Automated measurement and compensation of thermally induced error maps in machine tools Precision Engineering. 19: 112-132.  1
1996 Srinivasa N, Ziegert JC, Mize CD. Spindle thermal drift measurement using the laser ball bar Precision Engineering. 18: 118-128.  1
1996 Srinivasa N, Sharma R. Robotic applications of VAM-based invariant representation for active vision Proceedings of Spie - the International Society For Optical Engineering. 2760: 447-458.  1
1996 Sharma R, Srinivasa N. Framework for robot control with active vision using a neural network based spatial representation Proceedings - Ieee International Conference On Robotics and Automation. 3: 1966-1971.  1
1995 Srinivasa N, Prasad YVRK. Hot working characteristics of nimonic 75, 80A and 90 superalloys: a comparison using processing maps Journal of Materials Processing Tech.. 51: 171-192. DOI: 10.1016/0924-0136(94)01602-W  1
1994 Srinivasa N, Ziegert JC. Application of fuzzy artmap neural network to real-time learning and prediction of time-variant machine tool error maps Ieee International Conference On Fuzzy Systems. 3: 1725-1730.  1
1993 Srinivasa N, Jouaneh M. An Invariant Pattern Recognition Machine Using a Modified ART Architecture Ieee Transactions On Systems, Man and Cybernetics. 23: 1432-1437. DOI: 10.1109/21.260674  1
1993 Srinivasa N, Ziegert JC. Real-time learning of thermal errors in machine tools using a fuzzy logic based neural network American Society of Mechanical Engineers, Production Engineering Division (Publication) Ped. 64: 235-240.  1
1992 Srinivasa N, Ramakrishnan KR, Rajgopal K. On Two-Dimensional Maximum Entropy Spectral Estimation Ieee Transactions On Signal Processing. 40: 241-244. DOI: 10.1109/78.157205  1
1992 Srinivasa N, Jouaneh M. A Neural Network Model for Invariant Pattern Recognition Ieee Transactions On Signal Processing. 40: 1595-1599. DOI: 10.1109/78.139270  1
1992 Srinivasa N, Ramakrishnan K, Rajgopal K. Detection of Edges from Projections Ieee Transactions On Medical Imaging. 11: 76-80. DOI: 10.1109/42.126913  1
1992 Srinivasa N, Ziegert JC, Smith S. Prediction of positional errors of a three axis machine tool using a neural network . 203-209.  1
1991 Srinivasa N, Jouaneh M. Investigation of surface roughness characterization using an ART2 neural network American Society of Mechanical Engineers, Production Engineering Division (Publication) Ped. 55: 307-318.  1
1989 Ramesh GR, Srinivasa N, Rajgopal K. An algorithm for computing the discrete radon transform with some applications Tencon '89: Fourth Ieee Region 10 International Conference. 78-81.  1
1989 Srinivasa N, Lee DD, Kashyap RL. Robust 2-D spectrum estimation using Radon transform . 91.  1
1989 Oh SG, Srinivasa N, Kashyap RL. New robust method for 2-D sinusoidal frequency estimation . 130.  1
1988 Srinivasa N, Ramakrishnan KR, Rajgopal K. On multi-dimensional maximum entropy spectral estimation . 25: 74.  1
1988 Srinivasa N, Ramakrishnan KR, Rajgopal K. ADAPTIVE NOISE CANCELLING IN COMPUTED TOMOGRAPHY . 65-68.  1
1987 Srinivasa N, Ramakrishnan KR, Rajgopal K. Two-Dimensional Spectral Estimation: A Radon Transform Approach Ieee Journal of Oceanic Engineering. 12: 90-96. DOI: 10.1109/JOE.1987.1145219  1
1987 Srinivasa N, Amarnath NS, Ramakrishnan KR, Rajgopal K. ON DETECTING EDGES FROM PROJECTION DATA . 968-972.  1
1987 Srinivasa N, Rajgopal K, Ramakrishnan KR. ON A PROGRAMMABLE SIGNAL PROCESSOR FOR VLSI Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 795-796.  1
1987 Srinivasa N, Ramakrishnan KR, Rajgopal K. TWO DIMENSIONAL SPECTRAL ESTIMATION: A RADON TRANSFORM APPROACH Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1533-1536.  1
1986 Srinivasa N, Krishnan V, Ramakrishnan KR, Rajgopal K. IMAGE RECONSTRUCTION FROM TRUNCATED PROJECTIONS: A LINEAR PREDICTION APPROACH Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1733-1736.  1
1986 Srinivasa N, Krishnan V, Ramakrishnan KR, Rajgopal K. IMAGE RECONSTRUCTION FROM LIMITED ANGLE PROJECTIONS: A LINEAR PREDICTION APPROACH Ieee/Engineering in Medicine and Biology Society Annual Conference. 1168-1171.  1
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