Narayan Srinivasa

According to our database, Narayan Srinivasa authored at least 51 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning.

Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani

CoRR, 2024

Always-Sparse Training by Growing Connections with Guided Stochastic Exploration.

Mike Heddes, Narayan Srinivasa, Tony Givargis, Alexandru Nicolau

CoRR, 2024

2023

Invited Paper: Hyperdimensional Computing for Resilient Edge Learning.

Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI.

Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2019

Low-Power Neuromorphic Hardware for Signal Processing Applications: A review of architectural and system-level design approaches.

Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou

IEEE Signal Process. Mag., 2019

Hypercolumn Sparsification for Low-Power Convolutional Neural Networks.

Praveen K. Pilly, Nigel Stepp, Yannis Liapis, David W. Payton, Narayan Srinivasa

ACM J. Emerg. Technol. Comput. Syst., 2019

Low-Power Neuromorphic Hardware for Signal Processing Applications.

Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou

CoRR, 2019

2018

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning.

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

IEEE Micro, 2018

2017

Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model.

Priyadarshini Panda, Narayan Srinivasa

CoRR, 2017

Implications of a spontaneously active ground state for computing with brain-inspired circuits.

Narayan Srinivasa

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2015

Synaptic Plasticity Enables Adaptive Self-Tuning Critical Networks.

Nigel Stepp, Dietmar Plenz, Narayan Srinivasa

PLoS Comput. Biol., 2015

2014

A Robust and Scalable Neuromorphic Communication System by Combining Synaptic Time Multiplexing and MIMO-OFDM.

Narayan Srinivasa, Deying Zhang, Beayna Grigorian

IEEE Trans. Neural Networks Learn. Syst., 2014

HRLSim: A High Performance Spiking Neural Network Simulator for GPGPU Clusters.

Kirill Minkovich, Corey M. Thibeault, Michael John O'Brien, Aleksey Nogin, Youngkwan Cho, Narayan Srinivasa

IEEE Trans. Neural Networks Learn. Syst., 2014

Using Games to Embody Spiking Neural Networks for Neuromorphic Hardware.

Corey M. Thibeault, Frederick C. Harris Jr., Narayan Srinivasa

Int. J. Comput. Their Appl., 2014

Analyzing large-scale spiking neural data with HRLAnalysis™.

Corey M. Thibeault, Michael John O'Brien, Narayan Srinivasa

Frontiers Neuroinformatics, 2014

Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticity.

Narayan Srinivasa, Youngkwan Cho

Frontiers Comput. Neurosci., 2014

A novel analytical characterization for short-term plasticity parameters in spiking neural networks.

Michael John O'Brien, Corey M. Thibeault, Narayan Srinivasa

Frontiers Comput. Neurosci., 2014

2013

A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards.

Michael John O'Brien, Narayan Srinivasa

Neural Comput., 2013

Using a hybrid neuron in physiologically inspired models of the basal ganglia.

Corey M. Thibeault, Narayan Srinivasa

Frontiers Comput. Neurosci., 2013

Efficiently passing messages in distributed spiking neural network simulation.

Corey M. Thibeault, Kirill Minkovich, Michael John O'Brien, Frederick C. Harris Jr., Narayan Srinivasa

Frontiers Comput. Neurosci., 2013

Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticity.

Narayan Srinivasa, Qin Jiang

Frontiers Comput. Neurosci., 2013

Learning and prospective recall of noisy spike pattern episodes.

Karl P. Dockendorf, Narayan Srinivasa

Frontiers Comput. Neurosci., 2013

A compiler for scalable placement and routing of brain-like architectures.

Narayan Srinivasa

Proceedings of the International Symposium on Physical Design, 2013

A spiking thalamus model for form and motion processing of images.

Suhas E. Chelian, Narayan Srinivasa

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Self-Organizing Spiking Neural Model for Learning Fault-Tolerant Spatio-Motor Transformations.

Narayan Srinivasa, Youngkwan Cho

IEEE Trans. Neural Networks Learn. Syst., 2012

Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler.

Kirill Minkovich, Narayan Srinivasa, Jose M. Cruz-Albrecht, Youngkwan Cho, Aleksey Nogin

IEEE Trans. Neural Networks Learn. Syst., 2012

Energy-Efficient Neuron, Synapse and STDP Integrated Circuits.

Jose M. Cruz-Albrecht, Michael W. Yung, Narayan Srinivasa

IEEE Trans. Biomed. Circuits Syst., 2012

A bio-inspired kinematic controller for obstacle avoidance during reaching tasks with real robots.

Narayan Srinivasa, Rajan Bhattacharyya, Rashmi Sundareswara, Craig Lee, Stephen Grossberg

Neural Networks, 2012

2010

A Bio-inspired Model for Executive Control.

Narayan Srinivasa, Suhas E. Chelian

Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

2008

A head-neck-eye system that learns fault-tolerant saccades to 3-D targets using a self-organizing neural model.

Narayan Srinivasa, Stephen Grossberg

Neural Networks, 2008

High-Impact Event Prediction by Temporal Data Mining through Genetic Algorithms.

Narayan Srinivasa, Qin Jiang, Leandro G. Barajas

Proceedings of the Fourth International Conference on Natural Computation, 2008

Learning Invariant Sensory-Motor Transforms for Fault-Tolerant Control of Redundant Robots.

Narayan Srinivasa, Stephen Grossberg

Proceedings of the Biologically Inspired Cognitive Architectures, 2008

Bio-Inspired Planning and Reaching in Complex Environments.

Rajan Bhattacharyya, Narayan Srinivasa, Stephen Grossberg

Proceedings of the Biologically Inspired Cognitive Architectures, 2008

2007

A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots.

Narayan Srinivasa, Stephen Grossberg

Proceedings of the International Joint Conference on Neural Networks, 2007

2005

Modeling of pedestrian motion for recognition.

Payam Saisan, Swarup Medasani, Narayan Srinivasa, Yuri Owechko

Proceedings of the Electronic Imaging: Image and Video Communications and Processing 2005, 2005

2004

Active fuzzy clustering for collaborative filtering.

Narayan Srinivasa, Swarup Medasani

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Classifier Swarms for Human Detection in Infrared Imagery.

Yuri Owechko, Swarup Medasani, Narayan Srinivasa

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003

Fuzzy edge-symmetry features for improved intruder detection.

Narayan Srinivasa, Swarup Medasani, Yuri Owechko, Deepak Khosla

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2001

An On-line Method for Self Organized Learningn and Extraction of Fuzzy From High Dimensional Data.

Swarup Medasani, Narayan Srinivasa, Yuri Owechko

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

1999

A topological and temporal correlator network for spatiotemporal pattern learning, recognition, and recall.

Narayan Srinivasa, Narendra Ahuja

IEEE Trans. Neural Networks, 1999

1998

A framework for active vision-based robot control using neural networks.

Rajeev Sharma, Narayan Srinivasa

Robotica, 1998

Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision Applications.

Narayan Srinivasa, Rajeev Sharma

Neural Networks, 1998

A Learning Approach to Fixating on 3D Targets with Active Cameras.

Narayan Srinivasa, Narendra Ahuja

Proceedings of the Computer Vision, 1998

Learning Multiscale Image Models of 2D Object Classes.

Benoit Perrin, Narendra Ahuja, Narayan Srinivasa

Proceedings of the Computer Vision, 1998

1997

Learning and generalization of noisy mappings using a modified PROBART neural network.

Narayan Srinivasa

IEEE Trans. Signal Process., 1997

SOIM: a self-organizing invertible map with applications in active vision.

Narayan Srinivasa, Rajeev Sharma

IEEE Trans. Neural Networks, 1997

Grasping and in-hand manipulation: experiments with a reconfigurable gripper.

Attawith Sudsang, Jean Ponce, Narayan Srinivasa

Adv. Robotics, 1997

On planning immobilizing grasps for a reconfigurable gripper.

Attawith Sudsang, Narayan Srinivasa, Jean Ponce

Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, 1997

1996

A framework for robot control with active vision using a neural network based spatial representation.

Rajeev Sharma, Narayan Srinivasa

Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 1996

1993

An invariant pattern recognition machine using a modified ART architecture.

Narayan Srinivasa, Musa K. Jouaneh

IEEE Trans. Syst. Man Cybern., 1993

1992

A neural network model for invariant pattern recognition.

Narayan Srinivasa, Musa K. Jouaneh

IEEE Trans. Signal Process., 1992