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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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IEEE_Xplore

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

Frontiers in neuroscience, 2018-03, Vol.12, p.126-126

2018

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Synaptic plasticity enables adaptive self-tuning critical networks

PLoS computational biology, 2015-01, Vol.11 (1), p.e1004043-e1004043

2015

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EventHD: Robust and efficient hyperdimensional learning with neuromorphic sensor

Frontiers in neuroscience, 2022-07, Vol.16, p.858329-858329

2022

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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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IEEE_Xplore

N-terminal Region of Twitchin Binds Thick and Thin Contractile Filaments: REDUNDANT MECHANISMS OF CATCH FORCE MAINTENANCE

The Journal of biological chemistry, 2010-12, Vol.285 (52), p.40654-40665

2010

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

Frontiers in computational neuroscience, 2014-11, Vol.8, p.148-148

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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Myosin Cross-Bridge Kinetics and the Mechanism of Catch

Biophysical journal, 2007-07, Vol.93 (2), p.554-565

2007

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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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IEEE_Xplore

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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The N-terminal Region of Twitchin Binds Thick and Thin Contractile Filaments

The Journal of biological chemistry, 2010-12, Vol.285 (52), p.40654-40665

2010

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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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IEEE_Xplore

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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IEEE_Xplore

Synaptic Plasticity Enables Adaptive Self-Tuning Critical Networks: e1004043

PLoS computational biology, 2015-01, Vol.11 (1)

2015

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

Multibody system dynamics, 2015-02, Vol.33 (2), p.205-205

2015

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The Myosin Cross-Bridge Cycle and Its Control by Twitchin Phosphorylation in Catch Muscle

Biophysical journal, 2001, Vol.80 (1), p.415-426

2001

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

Frontiers in computational neuroscience, 2014-12, Vol.8, p.159-159

2014

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

Frontiers in computational neuroscience, 2013-07, Vol.7, p.88-88

2013

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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 Formal Model for Autocatakinetic Systems

Ecological psychology, 2012-07, Vol.24 (3), p.204-219

2012

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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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IEEE_Xplore

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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

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

Synaptic plasticity enables adaptive self-tuning critical networks

EventHD: Robust and efficient hyperdimensional learning with neuromorphic sensor

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

N-terminal Region of Twitchin Binds Thick and Thin Contractile Filaments: REDUNDANT MECHANISMS OF CATCH FORCE MAINTENANCE

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

A scalable neural chip with synaptic electronics using CMOS integrated memristors

Myosin Cross-Bridge Kinetics and the Mechanism of Catch

Energy-Efficient Neuron, Synapse and STDP Integrated Circuits

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

The N-terminal Region of Twitchin Binds Thick and Thin Contractile Filaments

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

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

Synaptic Plasticity Enables Adaptive Self-Tuning Critical Networks: e1004043

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

The Myosin Cross-Bridge Cycle and Its Control by Twitchin Phosphorylation in Catch Muscle

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

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

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

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

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

A Formal Model for Autocatakinetic Systems

Invited Paper: Hyperdimensional Computing for Resilient Edge Learning

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