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Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

IEEE MICRO, 2018-01, Vol.38 (1), p.82-99

2018

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A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications

Nano letters, 2012-01, Vol.12 (1), p.389-395

2012

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

2023 60th ACM/IEEE Design Automation Conference (DAC), 2023, p.1-6

2023

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Invited Paper: Hyperdimensional Computing for Resilient Edge Learning

2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023, p.1-8

2023

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

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.585-608

2014

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A scalable neural chip with synaptic electronics using CMOS integrated memristors

Nanotechnology, 2013-09, Vol.24 (38), p.384011-384011

2013

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Energy-Efficient Neuron, Synapse and STDP Integrated Circuits

IEEE transactions on biomedical circuits and systems, 2012-06, Vol.6 (3), p.246-256

2012

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A methodology for controlling motion and constraint forces in holonomically constrained systems

Multibody system dynamics, 2015-02, Vol.33 (2), p.179-204

2015

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

IEEE transaction on neural networks and learning systems, 2014-02, Vol.25 (2), p.316-331

2014

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

IEEE transaction on neural networks and learning systems, 2012-10, Vol.23 (10), p.1526-1538

2012

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

Neural networks, 2008-11, Vol.21 (9), p.1380-1391

2008

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

Neural computation, 2013-01, Vol.25 (1), p.123-156

2013

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

Neural networks, 2012-11, Vol.35, p.54-69

2012

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Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler

IEEE transaction on neural networks and learning systems, 2012-06, Vol.23 (6), p.889-901

2012

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Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex

Biologically inspired cognitive architectures, 2012-10, Vol.2, p.13-24

2012

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Hypercolumn Sparsification for Low-Power Convolutional Neural Networks

ACM journal on emerging technologies in computing systems, 2019-06, Vol.15 (2), p.1-16

2019

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

Neural networks, 1998, Vol.11 (1), p.153-171

1998

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Design Considerations for a Computational Architecture of Human Cognition

Emerging Nanoelectronic Devices, 2014, p.456-466

2014

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A spiking thalamus model for form and motion processing of images

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-6

2013

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Low-Power Neuromorphic Hardware for Signal Processing Applications: A Review of Architectural and System-Level Design Approaches

IEEE signal processing magazine, 2019-11, Vol.36 (6), p.97-110

2019

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An invariant pattern recognition machine using a modified ART architecture

IEEE transactions on systems, man, and cybernetics, 1993-09, Vol.23 (5), p.1432-1437

1993

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

Robotica, 1998-05, Vol.16 (3), p.309-327

1998

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Automated measurement and compensation of thermally induced error maps in machine tools

Precision engineering, 1996, Vol.19 (2), p.112-132

1996

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Fabrication and characterization of tungsten-oxide-based memristors for neuromorphic circuits

2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), 2014, p.1-2

2014

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A neural network model for invariant pattern recognition

IEEE transactions on signal processing, 1992-06, Vol.40 (6), p.1595-1599

1992

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Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications

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

Invited Paper: Hyperdimensional Computing for Resilient Edge Learning

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

A scalable neural chip with synaptic electronics using CMOS integrated memristors

Energy-Efficient Neuron, Synapse and STDP Integrated Circuits

A methodology for controlling motion and constraint forces in holonomically constrained systems

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

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

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

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

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

Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler

Executive control of cognitive agents using a biologically inspired model architecture of the prefrontal cortex

Hypercolumn Sparsification for Low-Power Convolutional Neural Networks

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

Design Considerations for a Computational Architecture of Human Cognition

A spiking thalamus model for form and motion processing of images

Low-Power Neuromorphic Hardware for Signal Processing Applications: A Review of Architectural and System-Level Design Approaches

An invariant pattern recognition machine using a modified ART architecture

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

Automated measurement and compensation of thermally induced error maps in machine tools

Fabrication and characterization of tungsten-oxide-based memristors for neuromorphic circuits

A neural network model for invariant pattern recognition

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