Adam Charles

Adam Charles

Johns Hopkins University

H-index: 16

North America-United States

About Adam Charles

Adam Charles, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Statistical Signal Processing, Biomedical data science, Neural Imaging, Machine Learning, Computational Neuroscience.

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

Deep and shallow data science for multi-scale optical neuroscience

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics

LINOCS: Lookahead Inference of Networked Operators for Continuous Stability

Chronic brain functional ultrasound imaging in freely moving rodents performing cognitive tasks

Revealing abrupt transitions from goal-directed to habitual behavior

SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States

Cross-modality supervised image restoration enables nanoscale tracking of synaptic plasticity in living mice

Comparing Spike Sorting Algorithms on Simulated Extracellular Multi-Electrode Array Recordings

Adam Charles Information

University

Position

Department of Biomedical Engineering

Citations(all)

1129

Citations(since 2020)

605

Cited By

787

hIndex(all)

16

hIndex(since 2020)

13

i10Index(all)

23

i10Index(since 2020)

17

Email

University Profile Page

Johns Hopkins University

Google Scholar

View Google Scholar Profile

Adam Charles Skills & Research Interests

Statistical Signal Processing

Biomedical data science

Neural Imaging

Machine Learning

Computational Neuroscience

Top articles of Adam Charles

Title

Journal

Author(s)

Publication Date

Deep and shallow data science for multi-scale optical neuroscience

arXiv preprint arXiv:2402.08811

Gal Mishne

Adam Charles

2024/2/13

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics

arXiv preprint arXiv:2206.02972

Noga Mudrik

Yenho Chen

Eva Yezerets

Christopher J Rozell

Adam S Charles

2022/6/7

LINOCS: Lookahead Inference of Networked Operators for Continuous Stability

arXiv preprint arXiv:2404.18267

Noga Mudrik

Eva Yezerets

Yenho Chen

Christopher Rozell

Adam Charles

2024/4/28

Chronic brain functional ultrasound imaging in freely moving rodents performing cognitive tasks

Journal of neuroscience methods

Ahmed El Hady

Daniel Takahashi

Ruolan Sun

Oluwateniola Akinwale

Tyler Boyd-Meredith

...

2024/3/1

Revealing abrupt transitions from goal-directed to habitual behavior

bioRxiv

Sharlen Moore

Zyan Wang

Ziyi Zhu

Ruolan Sun

Angel Lee

...

2023/7/7

SiBBlInGS: Similarity-driven Building-Block Inference using Graphs across States

arXiv preprint arXiv:2306.04817

Noga Mudrik

Gal Mishne

Adam S Charles

2023/6/7

Cross-modality supervised image restoration enables nanoscale tracking of synaptic plasticity in living mice

Nature Methods

Yu Kang T Xu

Austin R Graves

Gabrielle I Coste

Richard L Huganir

Dwight E Bergles

...

2023/6

Comparing Spike Sorting Algorithms on Simulated Extracellular Multi-Electrode Array Recordings

Chenhao Bao

Adam Charles

2023/12/5

Multi-Lingual DALL-E Storytime

Noga Mudrik

Adam S Charles

2023/3/11

Prospective Learning: Principled Extrapolation to the Future

Ashwin De Silva

Rahul Ramesh

Lyle Ungar

Marshall Hussain Shuler

Noah J Cowan

...

2023/11/20

Multi-day neuron tracking in high density electrophysiology recordings using EMD

eLife

Augustine Yuan

Jennifer Colonell

Anna Lebedeva

Michael Okun

Adam Charles

...

2024/2/27

Sequential and efficient neural-population coding of complex task information

Neuron

Sue Ann Koay

Adam S Charles

Stephan Y Thiberge

Carlos D Brody

David W Tank

2022/1/19

Data processing of functional optical microscopy for neuroscience

Hadas Benisty

Alexander Song

Gal Mishne

Adam S Charles

2022/1/10

Prospective learning: Back to the future

arXiv e-prints

Joshua T Vogelstein

Timothy Verstynen

Konrad P Kording

Leyla Isik

John W Krakauer

...

2022/1

Detecting and correcting false transients in calcium imaging

Nature Methods

Jeff L Gauthier

Sue Ann Koay

Edward H Nieh

David W Tank

Jonathan W Pillow

...

2022

GraFT: Graph filtered temporal dictionary learning for functional neural imaging

IEEE Transactions on Image Processing

Adam S Charles

Nathan Cermak

Rifqi O Affan

Benjamin B Scott

Jackie Schiller

...

2022/5/9

Neural anatomy and optical microscopy (NAOMi) simulation for evaluating calcium imaging methods

Journal of neuroscience methods

Alexander Song

Jeff L Gauthier

Jonathan W Pillow

David W Tank

Adam S Charles

2021/7/1

Efficient tracking of sparse signals via an earth mover's distance dynamics regularizer

IEEE Signal Processing Letters

Nicholas P Bertrand

Adam S Charles

John Lee

Pavel B Dunn

Christopher J Rozell

2020/6/12

Optimal adaptive electrode selection to maximize simultaneously recorded neuron yield

Advances in Neural Information Processing Systems

John Choi

Krishan Kumar

Mohammad Khazali

Katie Wingel

Mahdi Choudhury

...

2020

Toward community-driven big open brain science: open big data and tools for structure, function, and genetics

Adam S Charles

Benjamin Falk

Nicholas Turner

Talmo D Pereira

Daniel Tward

...

2020/7/8

See List of Professors in Adam Charles University(Johns Hopkins University)

Co-Authors

H-index: 92
David W. Tank

David W. Tank

Princeton University

H-index: 51
Bruno Olshausen

Bruno Olshausen

University of California, Berkeley

H-index: 47
Jonathan Pillow

Jonathan Pillow

Princeton University

H-index: 34
Smita Krishnaswamy

Smita Krishnaswamy

Yale University

H-index: 31
Greg Horwitz

Greg Horwitz

University of Washington

H-index: 30
Christopher Rozell

Christopher Rozell

Georgia Institute of Technology

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