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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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An Efficient Intrusion Detection System in Cloud Network Based on Deep Learning and Improved Marine Predators-Particle Swarm Optimization

International Journal of Intelligent Engineering and Systems, 2023-12, Vol.16 (6), p.60-71

2023

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

Frontiers in computational neuroscience, 2013-02, Vol.7, p.10-10

2013

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Regulation of Catch Muscle by Twitchin Phosphorylation: Effects on Force, ATPase, and Shortening

Biophysical journal, 1998-10, Vol.75 (4), p.1904-1914

1998

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Criticality as a Set-Point for Adaptive Behavior in Neuromorphic Hardware

Frontiers in neuroscience, 2015-12, Vol.9, p.449-449

2015

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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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Phosphorylation of a high molecular weight (approximately 600 kDa) protein regulates catch in invertebrate smooth muscle

Journal of muscle research and cell motility, 1997-12, Vol.18 (6), p.655-670

1997

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Twitchin from Molluscan Catch Muscle

The Journal of biological chemistry, 2003-08, Vol.278 (31), p.29308-29316

2003

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Learning and prospective recall of noisy spike pattern episodes

Frontiers in computational neuroscience, 2013-06, Vol.7, p.80-80

2013

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Analyzing large-scale spiking neural data with HRLAnalysisâ

Frontiers in neuroinformatics, 2014-03, Vol.8

2014

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

2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017, p.1-4

Srinivasa, Narayan

2017

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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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Analyzing large-scale spiking neural data with HRLAnalysis(™)

Frontiers in neuroinformatics, 2014-03, Vol.8, p.17-17

2014

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Efficiently passing messages in distributed spiking neural network simulation

Frontiers in computational neuroscience, 2013-06, Vol.7, p.77-77

2013

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Twitchin from molluscan catch muscle: primary structure and relationship between site-specific phosphorylation and mechanical function

The Journal of biological chemistry, 2003-08, Vol.278 (31), p.29308-29316

2003

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

Proceedings of the 2013 ACM International symposium on Physical Design, 2013, p.120-121

Srinivasa, Narayan

2013

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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 learning approach to fixating on 3D targets with active cameras

Computer Vision — ACCV'98, 2005, p.623-631

2005

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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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Learning multiscale image models of 2D object classes

Computer Vision — ACCV'98, 2005, p.323-331

2005

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

Advanced robotics, 1997-01, Vol.12 (5), p.509-533

1997

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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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A Formal Model for Autocatakinetic Systems

An Efficient Intrusion Detection System in Cloud Network Based on Deep Learning and Improved Marine Predators-Particle Swarm Optimization

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

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

Regulation of Catch Muscle by Twitchin Phosphorylation: Effects on Force, ATPase, and Shortening

Criticality as a Set-Point for Adaptive Behavior in Neuromorphic Hardware

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

Phosphorylation of a high molecular weight (approximately 600 kDa) protein regulates catch in invertebrate smooth muscle

Twitchin from Molluscan Catch Muscle

Learning and prospective recall of noisy spike pattern episodes

Analyzing large-scale spiking neural data with HRLAnalysisâ

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

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

Analyzing large-scale spiking neural data with HRLAnalysis(™)

Efficiently passing messages in distributed spiking neural network simulation

Twitchin from molluscan catch muscle: primary structure and relationship between site-specific phosphorylation and mechanical function

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

Design Considerations for a Computational Architecture of Human Cognition

A learning approach to fixating on 3D targets with active cameras

A spiking thalamus model for form and motion processing of images

Learning multiscale image models of 2D object classes

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

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

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