Lucas Hayne

Lucas Hayne

University of Colorado Boulder

H-index: 2

North America-United States

About Lucas Hayne

Lucas Hayne, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at University of Colorado Boulder, specializes in the field of Computational Neuroscience, Machine Learning, Cognitive Science.

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

Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the Brain

Decoding Function From Activity in Neural Systems

Friend or foe: classifying collaborative interactions using fNIRS

JobQueue-PG: A Task Queue for Coordinating Varied Tasks Across Multiple HPC Resources and HPC Jobs

BUTTER: An Empirical Deep Learning Experimental Framework

Much Easier Said Than Done: Falsifying the Causal Relevance of Decoding Methods

Green AI: Insights Into Deep Learning's Looming Energy Efficiency Crisis

Grounding High Dimensional Representation Similarity by Comparing Decodability and Network Performance

Lucas Hayne Information

University

Position

___

Citations(all)

14

Citations(since 2020)

14

Cited By

0

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Google Scholar

Lucas Hayne Skills & Research Interests

Computational Neuroscience

Machine Learning

Cognitive Science

Top articles of Lucas Hayne

Toward Workload-Based Adaptive Automation: The Utility of fNIRS for Measuring Load in Multiple Resources in the Brain

International Journal of Human–Computer Interaction

2023/10/21

Tom Williams
Tom Williams

H-Index: 2

Lucas Hayne
Lucas Hayne

H-Index: 0

Decoding Function From Activity in Neural Systems

2023

Lucas Hayne
Lucas Hayne

H-Index: 0

Friend or foe: classifying collaborative interactions using fNIRS

Frontiers in Neuroergonomics

2023

JobQueue-PG: A Task Queue for Coordinating Varied Tasks Across Multiple HPC Resources and HPC Jobs

2022/5/13

Lucas Hayne
Lucas Hayne

H-Index: 0

BUTTER: An Empirical Deep Learning Experimental Framework

2022/5/13

Lucas Hayne
Lucas Hayne

H-Index: 0

Much Easier Said Than Done: Falsifying the Causal Relevance of Decoding Methods

2022/12/6

Lucas Hayne
Lucas Hayne

H-Index: 0

Abhijit Suresh
Abhijit Suresh

H-Index: 5

Green AI: Insights Into Deep Learning's Looming Energy Efficiency Crisis

2022/10/27

Lucas Hayne
Lucas Hayne

H-Index: 0

Grounding High Dimensional Representation Similarity by Comparing Decodability and Network Performance

2022/9/29

An Empirical Deep Dive into Deep Learning's Driving Dynamics

arXiv preprint arXiv:2207.12547

2022/7/25

Lucas Hayne
Lucas Hayne

H-Index: 0

BUTTER-Empirical Deep Learning Dataset

2022/5/20

Lucas Hayne
Lucas Hayne

H-Index: 0

Using neural networks for two dimensional scientific data compression

2021/12/15

Lucas Hayne
Lucas Hayne

H-Index: 0

A neurophysiological sensor suite for real-time prediction of pilot workload in operational settings

2020

See List of Professors in Lucas Hayne University(University of Colorado Boulder)