Narayan Srinivasa

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 10

Top Topics

Avoid Overfitting

Training Examples

Spiking Neural Networks

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Frontiers Comput. Neurosci.

Int. J. Comput. Their Appl.

Publications

Mike Heddes, Narayan Srinivasa, Tony Givargis, Alexandru Nicolau
Always-Sparse Training by Growing Connections with Guided Stochastic Exploration. CoRR (2024)
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 (2024)
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)
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)
Bipin Rajendran, Abu Sebastian, Michael Schmuker, Narayan Srinivasa, Evangelos Eleftheriou
Low-Power Neuromorphic Hardware for Signal Processing Applications. CoRR (2019)
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) (2019)
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) (2019)
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) (2018)
Priyadarshini Panda, Narayan Srinivasa
Learning to Recognize Actions from Limited Training Examples Using a Recurrent Spiking Neural Model. CoRR (2017)
Narayan Srinivasa
Implications of a spontaneously active ground state for computing with brain-inspired circuits. ISCAS (2017)
Nigel Stepp, Dietmar Plenz, Narayan Srinivasa
Synaptic Plasticity Enables Adaptive Self-Tuning Critical Networks. PLoS Comput. Biol. 11 (1) (2015)
Narayan Srinivasa, Youngkwan Cho
Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticity. Frontiers Comput. Neurosci. 8 (2014)
Corey M. Thibeault, Michael John O'Brien, Narayan Srinivasa
Analyzing large-scale spiking neural data with HRLAnalysis™. Frontiers Neuroinformatics 8 (2014)
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 (2014)
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) (2014)
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) (2014)
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) (2014)
Michael John O'Brien, Narayan Srinivasa
A Spiking Neural Model for Stable Reinforcement of Synapses Based on Multiple Distal Rewards. Neural Comput. 25 (1) (2013)
Suhas E. Chelian, Narayan Srinivasa
A spiking thalamus model for form and motion processing of images. IJCNN (2013)
Narayan Srinivasa, Qin Jiang
Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticity. Frontiers Comput. Neurosci. 7 (2013)
Narayan Srinivasa
A compiler for scalable placement and routing of brain-like architectures. ISPD (2013)
Corey M. Thibeault, Narayan Srinivasa
Using a hybrid neuron in physiologically inspired models of the basal ganglia. Frontiers Comput. Neurosci. 7 (2013)
Karl P. Dockendorf, Narayan Srinivasa
Learning and prospective recall of noisy spike pattern episodes. Frontiers Comput. Neurosci. 7 (2013)
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 (2013)
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 (2012)
Jose M. Cruz-Albrecht, Michael W. Yung, Narayan Srinivasa
Energy-Efficient Neuron, Synapse and STDP Integrated Circuits. IEEE Trans. Biomed. Circuits Syst. 6 (3) (2012)
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) (2012)
Narayan Srinivasa, Youngkwan Cho
Self-Organizing Spiking Neural Model for Learning Fault-Tolerant Spatio-Motor Transformations. IEEE Trans. Neural Networks Learn. Syst. 23 (10) (2012)
Narayan Srinivasa, Suhas E. Chelian
A Bio-inspired Model for Executive Control. BICA (2010)
Rajan Bhattacharyya, Narayan Srinivasa, Stephen Grossberg
Bio-Inspired Planning and Reaching in Complex Environments. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2008)
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) (2008)
Narayan Srinivasa, Stephen Grossberg
Learning Invariant Sensory-Motor Transforms for Fault-Tolerant Control of Redundant Robots. AAAI Fall Symposium: Biologically Inspired Cognitive Architectures (2008)
Narayan Srinivasa, Qin Jiang, Leandro G. Barajas
High-Impact Event Prediction by Temporal Data Mining through Genetic Algorithms. ICNC (1) (2008)
Narayan Srinivasa, Stephen Grossberg
A Self-Organizing Neural Model for Fault-Tolerant Control of Redundant Robots. IJCNN (2007)
Payam Saisan, Swarup Medasani, Narayan Srinivasa, Yuri Owechko
Modeling of pedestrian motion for recognition. Electronic Imaging: Image and Video Communications and Processing (2005)
Yuri Owechko, Swarup Medasani, Narayan Srinivasa
Classifier Swarms for Human Detection in Infrared Imagery. CVPR Workshops (2004)
Narayan Srinivasa, Swarup Medasani
Active fuzzy clustering for collaborative filtering. FUZZ-IEEE (2004)
Narayan Srinivasa, Swarup Medasani, Yuri Owechko, Deepak Khosla
Fuzzy edge-symmetry features for improved intruder detection. FUZZ-IEEE (2003)
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)
Narayan Srinivasa, Narendra Ahuja
A topological and temporal correlator network for spatiotemporal pattern learning, recognition, and recall. IEEE Trans. Neural Networks 10 (2) (1999)
Narayan Srinivasa, Narendra Ahuja
A Learning Approach to Fixating on 3D Targets with Active Cameras. ACCV (1) (1998)
Narayan Srinivasa, Rajeev Sharma
Efficient Learning of VAM-Based Representation of 3D Targets and its Active Vision Applications. Neural Networks 11 (1) (1998)
Rajeev Sharma, Narayan Srinivasa
A framework for active vision-based robot control using neural networks. Robotica 16 (3) (1998)
Benoit Perrin, Narendra Ahuja, Narayan Srinivasa
Learning Multiscale Image Models of 2D Object Classes. ACCV (2) (1998)
Attawith Sudsang, Narayan Srinivasa, Jean Ponce
On planning immobilizing grasps for a reconfigurable gripper. IROS (1997)
Narayan Srinivasa
Learning and generalization of noisy mappings using a modified PROBART neural network. IEEE Trans. Signal Process. 45 (10) (1997)
Attawith Sudsang, Jean Ponce, Narayan Srinivasa
Grasping and in-hand manipulation: experiments with a reconfigurable gripper. Adv. Robotics 12 (5) (1997)
Narayan Srinivasa, Rajeev Sharma
SOIM: a self-organizing invertible map with applications in active vision. IEEE Trans. Neural Networks 8 (3) (1997)
Rajeev Sharma, Narayan Srinivasa
A framework for robot control with active vision using a neural network based spatial representation. ICRA (1996)
Narayan Srinivasa, Musa K. Jouaneh
An invariant pattern recognition machine using a modified ART architecture. IEEE Trans. Syst. Man Cybern. 23 (5) (1993)
Narayan Srinivasa, Musa K. Jouaneh
A neural network model for invariant pattern recognition. IEEE Trans. Signal Process. 40 (6) (1992)