Hava Siegelmann

Hava Siegelmann

University of Massachusetts Amherst

H-index: 39

North America-United States

About Hava Siegelmann

Hava Siegelmann, With an exceptional h-index of 39 and a recent h-index of 25 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of AI, Computational Neuroscience, Computational Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Systems Biology Analysis of Chronic Lymphocytic Leukemia

Forward signal propagation learning

Energy-based Sequential Memory Networks at the Adiabatic Limit

A collective AI via lifelong learning and sharing at the edge

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks

Signal propagation: The framework for learning and inference in a forward pass

Neuromorphic high-frequency 3d dancing pose estimation in dynamic environment

Variable Memory: Beyond the Fixed Memory Assumption in Memory Modeling

Hava Siegelmann Information

University

Position

Professor of Computer Science and Brain Sciences

Citations(all)

11057

Citations(since 2020)

3797

Cited By

8602

hIndex(all)

39

hIndex(since 2020)

25

i10Index(all)

95

i10Index(since 2020)

42

Email

University Profile Page

University of Massachusetts Amherst

Google Scholar

View Google Scholar Profile

Hava Siegelmann Skills & Research Interests

AI

Computational Neuroscience

Computational Biology

Top articles of Hava Siegelmann

Title

Journal

Author(s)

Publication Date

A Systems Biology Analysis of Chronic Lymphocytic Leukemia

bioRxiv

Giulia Pozzati

Jinrui Zhou

Hananel Hazan

Giannoula Lakka Klement

Hava T Siegelmann

...

2024

Forward signal propagation learning

2024/4/25

Energy-based Sequential Memory Networks at the Adiabatic Limit

Bulletin of the American Physical Society

Arjun Karuvally

Terrence Sejnowski

Hava Siegelmann

2024/3/6

A collective AI via lifelong learning and sharing at the edge

Nature Machine Intelligence

Andrea Soltoggio

Eseoghene Ben-Iwhiwhu

Vladimir Braverman

Eric Eaton

Benjamin Epstein

...

2024/3

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks

arXiv preprint arXiv:2402.10163

Arjun Karuvally

Terrence J Sejnowski

Hava T Siegelmann

2024/2/15

Signal propagation: The framework for learning and inference in a forward pass

IEEE Transactions on Neural Networks and Learning Systems

Adam Kohan

Edward A Rietman

Hava T Siegelmann

2023/1/27

Neuromorphic high-frequency 3d dancing pose estimation in dynamic environment

Neurocomputing

Zhongyang Zhang

Kaidong Chai

Haowen Yu

Ramzi Majaj

Francesca Walsh

...

2023/8/28

Variable Memory: Beyond the Fixed Memory Assumption in Memory Modeling

Arjun Karuvally

Hava T Siegelmann

2023/11/26

General sequential episodic memory model

Arjun Karuvally

Terrence Sejnowski

Hava T Siegelmann

2023/7/3

On the Dynamics of Learning Time-Aware Behavior with RNNs

Peter DelMastro

Rushiv Arora

Edward Rietman

Hava T Siegelmann

2023/10/13

miR-9 utilizes precursor pathways in adaptation to alcohol in mouse striatal neurons

Advances in drug and alcohol research

Edward Andrew Mead

Yongping Wang

Sunali Patel

Austin P Thekkumthala

Rebecca Kepich

...

2023/6/6

Episodic Memory Theory for the Mechanistic Interpretation of Recurrent Neural Networks

arXiv preprint arXiv:2310.02430

Arjun Karuvally

Peter Delmastro

Hava T Siegelmann

2023/10/3

Temporally Layered Architecture for Efficient Continuous Control

arXiv preprint arXiv:2305.18701

Devdhar Patel

Terrence Sejnowski

Hava Siegelmann

2023/5/30

Gibbs Energy and Gene Expression Combined as a New Technique for Selecting Drug Targets for Inhibiting Specific Protein–Protein Interactions

International Journal of Molecular Sciences

Edward A Rietman

Hava T Siegelmann

Giannoula Lakka Klement

Jack A Tuszynski

2023/9/27

Neural Network Compiler for Parallel High-Throughput Simulation of Digital Circuits

Ignacio Gavier

Joshua Russell

Devdhar Patel

Edward Rietman

Hava Siegelmann

2023/5/15

Episodic Memory Theory of Recurrent Neural Networks: Insights into Long-Term Information Storage and Manipulation

Arjun Karuvally

Peter DelMastro

Hava T Siegelmann

2023/9/27

Machine Learning with Quantum Matter: An Example Using Lead Zirconate Titanate

Quantum Reports

Edward Rietman

Leslie Schuum

Ayush Salik

Manor Askenazi

Hava Siegelmann

2022/10/3

Automatic transpiler that efficiently converts digital circuits to a neural network representation

Devdhar Patel

Ignacio Gavier

Joshua Russell

Andrew Malinsky

Edward Rietman

...

2022/7/18

Temporally Layered Architecture for Adaptive, Distributed and Continuous Control

arXiv preprint arXiv:2301.00723

Devdhar Patel

Joshua Russell

Francesca Walsh

Tauhidur Rahman

Terrence Sejnowski

...

2022/12/25

Biological underpinnings for lifelong learning machines

Dhireesha Kudithipudi

Mario Aguilar-Simon

Jonathan Babb

Maxim Bazhenov

Douglas Blackiston

...

2022/3

See List of Professors in Hava Siegelmann University(University of Massachusetts Amherst)

Co-Authors

H-index: 117
C Lee Giles

C Lee Giles

Penn State University

H-index: 87
Hod Lipson

Hod Lipson

Columbia University in the City of New York

H-index: 78
Leon Glass

Leon Glass

McGill University

H-index: 46
Asa Ben-Hur

Asa Ben-Hur

Colorado State University

H-index: 34
Bhaskar DasGupta

Bhaskar DasGupta

University of Illinois at Chicago

H-index: 33
Ricard Gavaldà

Ricard Gavaldà

Universidad Politécnica de Cataluña

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