Eva L. Dyer

Also affiliated with Philadelphia University

NeuroscienceBiochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 26 papers. Top paper: “Pyglmnet: Python implementation of elastic-net regularized generalized linear models”.

Pyglmnet: Python implementation of elastic-net regularized generalized linear models

The Journal of Open Source Software(2020)10.21105/joss.01959

N/A

0.541DataRank · unranked

15 citations

Titipat Achakulvisut, Aid Idrizović, Daniel E. Acuña, Matthew Antalek, Vinícius Abrão da Silva Marques +17 more

Aligning latent representations of neural activity

Nature Biomedical Engineering(2022)10.1038/s41551-022-00962-7

N/A

0.477DataRank · unranked

23 citations

Konrad P. Körding, Eva L. Dyer, Max Dabagia

A nonoscillatory, millisecond-scale embedding of brain state provides insight into behavior

Nature Neuroscience(2024)10.1038/s41593-024-01715-2

N/A

0.470DataRank · unranked

22 citations

Aidan Schneider, Yifan Xu, Samuel J. Brunwasser, Samuel C Funderburk, Danilo Thurber +5 more

De novo evolution of macroscopic multicellularity

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.03.454982

N/A

0.345DataRank · unranked

9 citations

Seyed Alireza Zamani-Dahaj, Thomas C. Day, Penelope C. Kahn, Anthony Burnetti, Dung T. Lac +7 more

Relax, it doesn't matter how you get there: A new self-supervised approach for multi-timescale behavior analysis

arXiv (Cornell University)(2023)10.48550/arxiv.2303.08811

N/A

0.241DataRank · unranked

4 citations

Michael Mendelson, Nauman Ahad, Maks Sorokin, Shantanu Thakoor, Carolina Urzay +2 more

Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.10.495595

N/A

0.241DataRank · unranked

4 citations

Mehdi Azabou, Max Dabagia, Jingyun Xiao, Eva L. Dyer, Ran Liu

MTNeuro: A Benchmark for Evaluating Representations of Brain Structure Across Multiple Levels of Abstraction

PubMed(2023)10.48550/arxiv.2301.00345

N/A

0DataRank · unranked

1 citations

Lakshmi Sathidevi, Ran Liu, Nauman Ahad, Joy M Jackson, Mehdi Azabou +8 more

A Unified, Scalable Framework for Neural Population Decoding

arXiv (Cornell University)(2023)10.48550/arxiv.2310.16046

N/A

0DataRank · unranked

22 citations

Vinam Arora, Venkataramana Ganesh, Ximeng Mao, Santosh Nachimuthu, Michael Mendelson +5 more

A non-oscillatory, millisecond-scale embedding of brain state provides insight into behavior

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.09.544399

N/A

0DataRank · unranked

9 citations

Aidan Schneider, Yifan Xu, Samuel J. Brunwasser, Samuel C Funderburk, Danilo Thurber +5 more

Learning signatures of decision making from many individuals playing the same game

PubMed(2023)10.1109/ner52421.2023.10123846

N/A

0DataRank · unranked

3 citations

Mehdi Azabou, Suma Jacob, Nicola M. Grissom, David Darrow, Becket Ebitz +3 more

Tauopathy severely disrupts homeostatic set-points in emergent neural dynamics but not in the activity of individual neurons

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.01.555947

N/A

0DataRank · unranked

3 citations

Clayton A. Farris, Sahara Ensley, Aidan Schneider, Chao Wang, Yuqi Liu +9 more

Detecting change points in neural population activity with contrastive metric learning

PubMed(2023)10.1109/ner52421.2023.10123821

N/A

0DataRank · unranked

1 citations

Nauman Ahad, Mehdi Azabou, Aidan Schneider, Geethika Atamkuri, Keith B. Hengen +2 more

Half-Hop: A graph upsampling approach for slowing down message passing

arXiv (Cornell University)(2023)10.48550/arxiv.2308.09198

N/A

0DataRank · unranked

0 citations

Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu +4 more

LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration

arXiv (Cornell University)(2023)10.48550/arxiv.2308.14596

N/A

0DataRank · unranked

0 citations

Sahil Khose, Jingyun Xiao, Lakshmi Sathidevi, Keerthan Ramnath, Zsolt Kira +2 more

Label-free imaging of nuclear membrane for analysis of nuclear import of viral complexes

Journal of Virological Methods(2023)10.1016/j.jviromet.2023.114834

N/A

0DataRank · unranked

0 citations

Yen-Cheng Chen, Levi B. Gifford, Dariana Torres-Rivera, Eva L. Dyer, Gregory B. Melikyan +1 more

Failure in a population: Tauopathy disrupts homeostatic set-points in emergent dynamics despite stability in the constituent neurons

Neuron(2024)10.1016/j.neuron.2024.08.006

N/A

0DataRank · unranked

19 citations

Clayton A. Farris, Sahara Ensley, Aidan Schneider, Leandro J. Fosque, Chao Wang +11 more

In vivo cell-type and brain region classification via multimodal contrastive learning

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.05.622159

N/A

0DataRank · unranked

10 citations

Hanrui Lyu, Xu E, Charlie Windolf, Eric Lee, Fan Yang +10 more

Neurons throughout the brain embed robust signatures of their anatomical location into spike trains

eLife(2024)10.7554/elife.101506

N/A

0DataRank · unranked

1 citations

Aidan M Schneider, Eva L. Dyer, Keith B. Hengen, Gemechu Bekele Tolossa

Neurons throughout the brain embed robust signatures of their anatomical location into spike trains

eLife(2025)10.7554/elife.101506.3

N/A

0DataRank · unranked

1 citations

Aidan M Schneider, Eva L. Dyer, Keith B. Hengen, Gemechu Bekele Tolossa

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks

arXiv (Cornell University)(2025)10.48550/arxiv.2510.20683

N/A

0DataRank · unranked

0 citations

Ioannis Asmanis, Konrad P. Körding, Eva L. Dyer, Kostas Daniilidis, Flavia Vitale +1 more

Know Thyself by Knowing Others: Learning Neuron Identity from Population Context

arXiv (Cornell University)(2025)10.48550/arxiv.2512.01199

N/A

0DataRank · unranked

0 citations

Divyansha Lachi, Ian A. Knight, Mehdi Azabou, Blake A. Richards, Cole Hurwitz +3 more

A Deep Feature Learning Approach for Mapping the Brain’s Microarchitecture and Organization

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.26.117473

N/A

0DataRank · unranked

3 citations

Eva L. Dyer, Aishwarya Balwani

A generative modeling approach for interpreting population-level variability in brain structure

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.04.134635

N/A

0DataRank · unranked

2 citations

Cem Subakan, Aishwarya Balwani, Jennifer D. Whitesell, Julie A. Harris, Sanmi Koyejo +2 more

Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.07.21.453285

N/A

0DataRank · unranked

16 citations

Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith B. Hengen +3 more

Circuit-specific selective vulnerability in the DMN persists in the face of widespread amyloid burden

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.14.516510

N/A

0DataRank · unranked

2 citations

James N. McGregor, Kiran Bhaskaran‐Nair, Clayton A. Farris, Halla Elmore, Eva L. Dyer +5 more

Transcriptomic cell type structures in vivo neuronal activity across multiple timescales

Cell Reports(2023)10.1016/j.celrep.2023.112318

N/A

0DataRank · unranked

27 citations

Mehdi Azabou, Louis McDougall-Vigier, David F. Parks, Sahara Ensley, Kiran Bhaskaran‐Nair +4 more