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Siegelmann, Hava T.
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1

A collective AI via lifelong learning and sharing at the ed..:

Soltoggio, Andrea ; Ben-Iwhiwhu, Eseoghene ; Braverman, Vladimir...
Nature Machine Intelligence.  6 (2024)  3 - p. 251-264 , 2024
Link: https://doi.org/10.1038/..
 
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2

Signal Propagation: The Framework for Learning and Inferenc..:

Kohan, Adam ; Rietman, Edward A. ; Siegelmann, Hava T.
IEEE Transactions on Neural Networks and Learning Systems.  35 (2024)  6 - p. 8585-8596 , 2024
Link: https://doi.org/10.1109/..
 
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3

Gibbs Energy and Gene Expression Combined as a New Techniqu..:

Rietman, Edward A. ; Siegelmann, Hava T. ; Klement, Giannoula Lakka.
International Journal of Molecular Sciences.  24 (2023)  19 - p. 14648 , 2023
Link: https://doi.org/10.3390/..
 
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4

Single probe light reflectance spectroscopy and parameter s..:

Abookasis, David ; Shemesh, David ; Litwin, Arik...
Journal of Biophotonics.  16 (2023)  8 - p. , 2023
Link: https://doi.org/10.1002/..
 
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5

miR-9 utilizes precursor pathways in adaptation to alcohol ..:

Mead, Edward Andrew ; Wang, Yongping ; Patel, Sunali...
Advances in Drug and Alcohol Research.  3 (2023)  - p. , 2023
Link: https://doi.org/10.3389/..
 
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6

Unique scales preserve self-similar integrate-and-fire func..:

Amgalan, Anar ; Taylor, Patrick ; Mujica-Parodi, Lilianne R..
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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7

Gibbs Free Energy, a Thermodynamic Measure of Protein–Prote..:

Keegan, Michael ; Siegelmann, Hava T. ; Rietman, Edward A...
BioMedInformatics.  1 (2021)  3 - p. 201-210 , 2021
Link: https://doi.org/10.3390/..
 
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8

Application of Thermodynamics and Protein–Protein Interacti..:

Yu, Chang ; Rietman, Edward A. ; Siegelmann, Hava T...
Applied Sciences.  11 (2021)  17 - p. 8059 , 2021
Link: https://doi.org/10.3390/..
 
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9

Brain-inspired replay for continual learning with artificia..:

van de Ven, Gido M. ; Siegelmann, Hava T. ; Tolias, Andreas S.
Nature Communications.  11 (2020)  1 - p. , 2020
Link: https://doi.org/10.1038/..
 
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10

A modeling framework for adaptive lifelong learning with tr..:

Tsuda, Ben ; Tye, Kay M. ; Siegelmann, Hava T..
Proceedings of the National Academy of Sciences of the United States of America.  117 (2020)  47 - p. 29872-29882 , 2020
Link: https://www.jstor.org/st..
 
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11

Using the Gibbs Function as a Measure of Human Brain Develo..:

Rietman, Edward A. ; Taylor, Sophie ; Siegelmann, Hava T....
International Journal of Molecular Sciences.  21 (2020)  3 - p. 1116 , 2020
Link: https://doi.org/10.3390/..
 
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12

Minibatch Processing for Speed-up and Scalability of Spikin..:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Saunders, Daniel J. ; Sigrist, Cooper ; Chaney, Kenneth.. - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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13

A modeling framework for adaptive lifelong learning with tr..:

Tsuda, Ben ; Tye, Kay M. ; Siegelmann, Hava T..
Proceedings of the National Academy of Sciences.  117 (2020)  47 - p. 29872-29882 , 2020
Link: https://doi.org/10.1073/..
 
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14

Improved robustness of reinforcement learning policies upon..:

Patel, Devdhar ; Hazan, Hananel ; Saunders, Daniel J...
Neural Networks.  120 (2019)  - p. 108-115 , 2019
Link: https://doi.org/10.1016/..
 
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15

Locally connected spiking neural networks for unsupervised ..:

Saunders, Daniel J. ; Patel, Devdhar ; Hazan, Hananel..
Neural Networks.  119 (2019)  - p. 332-340 , 2019
Link: https://doi.org/10.1016/..
 
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