James Hazelden

Neuroscience · University of Michigan

Early career · publishing since 2017Rising activity

Neural dynamics and brain function Stochastic Gradient Optimization Techniques Neural Networks and Reservoir Computing Model Reduction and Neural Networks Neural Networks and Applications

Publications

Citations

Est. group size

Recurring co-author estimate

Active years

Publishing since 2017

In context

Among 162 early career Neuroscience PIs within our index

Citations: 0cohort median 166

Publications / year (recent): 2.4cohort median 2.4

Typically publishes in teams of ~3 · 50% small-team papers (≤3 authors) · across 3 venues

Publication cadence

Publications per year over the last 10 years — averaging 2.4/year recently

Recent publications

The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning
arXiv (Cornell University) · 2026
The Global Empirical NTK: Self-Referential Bias and Dimensionality of Gradient Descent Learning
arXiv (Cornell University) · 2026
State-Space NTK Collapse Near Bifurcations
arXiv (Cornell University) · 2026
State-Space NTK Collapse Near Bifurcations
arXiv (Cornell University) · 2026
KPFlow: An Operator Perspective on Dynamic Collapse Under Gradient Descent Training of Recurrent Networks
arXiv (Cornell University) · 2025
Fast Neural Tangent Kernel Alignment, Norm and Effective Rank via Trace Estimation
arXiv (Cornell University) · 2025
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs
PubMed · 2023
A SORT OF JOYFUL MANiFESTO
MUP eBooks · 2017

Publishes in

arXiv (Cornell University)×7
bioRxiv (Cold Spring Harbor Laboratory)×2
eLife×2
MUP eBooks×1
PubMed×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 25, 2026.

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