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Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game

Neural networks, 2019-12, Vol.120, p.108-115

2019

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BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python

Frontiers in neuroinformatics, 2018-12, Vol.12, p.89-89

2018

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Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning

PloS one, 2022-05, Vol.17 (5), p.e0265808

2022

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Closed Loop Experiment Manager (CLEM)-An Open and Inexpensive Solution for Multichannel Electrophysiological Recordings and Closed Loop Experiments

Frontiers in neuroscience, 2017-10, Vol.11, p.579-579

2017

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Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping

Neural plasticity, 2015-01, Vol.2015 (2015), p.1-17

2015

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Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning

Frontiers in computational neuroscience, 2022-09, Vol.16, p.1017284

2022

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A Systems Biology Analysis of Chronic Lymphocytic Leukemia

Onco, 2024-08, Vol.4 (3), p.163-191

2024

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Topological constraints and robustness in liquid state machines

Expert systems with applications, 2012-02, Vol.39 (2), p.1597-1606

2012

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Exploring the Behavior of Bioelectric Circuits Using Evolution Heuristic Search

Bioelectricity, 2022-12, Vol.4 (4), p.207-227

2022

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Locally connected spiking neural networks for unsupervised feature learning

Neural networks, 2019-11, Vol.119, p.332-340

2019

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Dynamic clamp constructed phase diagram for the Hodgkin and Huxley model of excitability

Proceedings of the National Academy of Sciences - PNAS, 2020-02, Vol.117 (7), p.3575-3582

2020

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Memristor Based Liquid State Machine With Method for In-Situ Training

IEEE transactions on nanotechnology, 2024, Vol.23, p.376-385

2024

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Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data

Annals of mathematics and artificial intelligence, 2020-12, Vol.88 (11-12), p.1237-1260

2020

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Control flow in active inference systems Part I: Classical and quantum formulations of active inference

IEEE transactions on molecular, biological, and multi-scale communications, 2023-06, Vol.9 (2), p.1-1

2023

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Control flow in active inference systems Part II: Tensor networks as general models of control flow

IEEE transactions on molecular, biological, and multi-scale communications, 2023-06, Vol.9 (2), p.1-1

2023

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Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine

Neural networks, 2015-10, Vol.70, p.61-73

2015

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Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning

PloS one, 2022-01, Vol.17 (5), p.e0265808

2022

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The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks

Transactions on Computational Collective Intelligence XXIV, 2016, Vol.9770, p.117-133

2016

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Stability and Topology in Reservoir Computing

Advances in Soft Computing, p.245-256

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Unsupervised Learning with Self-Organizing Spiking Neural Networks

2018 International Joint Conference on Neural Networks (IJCNN), 2018, p.1-6

2018

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Temporal Classification and Computation Tools Inspired by Biological Neurons

Hazan, Hananel

2013

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Two hemispheres—two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words

Annals of mathematics and artificial intelligence, 2010-05, Vol.59 (1), p.125-147

2010

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Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine

Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022, p.1-6

2022

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Early diagnosis of Parkinson's disease via machine learning on speech data

2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, 2012, p.1-4

2012

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Resolution of Lexical Ambiguity in Neural Networks: Distinctions and Cooperation between Models of Right and Left Hemispheres

2007

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Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to Atari Breakout game

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python

Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning

Closed Loop Experiment Manager (CLEM)-An Open and Inexpensive Solution for Multichannel Electrophysiological Recordings and Closed Loop Experiments

Decoding the Formation of New Semantics: MVPA Investigation of Rapid Neocortical Plasticity during Associative Encoding through Fast Mapping

Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning

A Systems Biology Analysis of Chronic Lymphocytic Leukemia

Topological constraints and robustness in liquid state machines

Exploring the Behavior of Bioelectric Circuits Using Evolution Heuristic Search

Locally connected spiking neural networks for unsupervised feature learning

Dynamic clamp constructed phase diagram for the Hodgkin and Huxley model of excitability

Memristor Based Liquid State Machine With Method for In-Situ Training

Lattice map spiking neural networks (LM-SNNs) for clustering and classifying image data

Control flow in active inference systems Part I: Classical and quantum formulations of active inference

Control flow in active inference systems Part II: Tensor networks as general models of control flow

Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine

Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning

The Existence of Two Variant Processes in Human Declarative Memory: Evidence Using Machine Learning Classification Techniques in Retrieval Tasks

Stability and Topology in Reservoir Computing

Unsupervised Learning with Self-Organizing Spiking Neural Networks

Temporal Classification and Computation Tools Inspired by Biological Neurons

Two hemispheres—two networks: a computational model explaining hemispheric asymmetries while reading ambiguous words

Circuit Optimization Techniques for Efficient Ex-Situ Training of Robust Memristor Based Liquid State Machine

Early diagnosis of Parkinson's disease via machine learning on speech data

Resolution of Lexical Ambiguity in Neural Networks: Distinctions and Cooperation between Models of Right and Left Hemispheres

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