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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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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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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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Exploring the Behavior of Bioelectric Circuits Using Evolution Heuristic Search

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

2022

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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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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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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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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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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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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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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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Locally connected spiking neural networks for unsupervised feature learning

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

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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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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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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Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI

2016 International Joint Conference on Neural Networks (IJCNN), 2016, p.4637-4642

2016

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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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Machine learning techniques and the existence of variant processes in humans declarative memory

2015 7th International Joint Conference on Computational Intelligence (IJCCI), 2015, Vol.3, p.114-121

2015

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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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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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Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract

2014 IEEE International Conference on Software Science, Technology and Engineering, 2014, p.63-64

2014

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Recognizing deep grammatical information during reading from event related fMRI

2014 IEEE 28th Convention of Electrical & Electronics Engineers in Israel (IEEEI), 2014, p.1-4

2014

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Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques

2014 IEEE International Conference on Software Science, Technology and Engineering, 2014, p.50-53

2014

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Temporal Classification and Computation Tools Inspired by Biological Neurons

Hazan, Hananel

2013

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A Systems Biology Analysis of Chronic Lymphocytic Leukemia

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

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

Exploring the Behavior of Bioelectric Circuits Using Evolution Heuristic Search

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

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

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

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

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

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

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

Locally connected spiking neural networks for unsupervised feature learning

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

Unsupervised Learning with Self-Organizing Spiking Neural Networks

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

Classification from generation: Recognizing deep grammatical information during reading from rapid event-related fMRI

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

Machine learning techniques and the existence of variant processes in humans declarative memory

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

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

Towards Classifying Human Phonemes without Encodings via Spatiotemporal Liquid State Machines: Extended Abstract

Recognizing deep grammatical information during reading from event related fMRI

Computational Diagnosis of Parkinson's Disease Directly from Natural Speech Using Machine Learning Techniques

Temporal Classification and Computation Tools Inspired by Biological Neurons

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