The Neural efficiency score: Validation and application DOI Creative Commons
Michael J. Wenger, James T. Townsend, Sarah Newbolds

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 16, 2024

Abstract We propose an indirect measure of the efficiency neural processing: score (NES). The basis for this is hazard function on reaction time distribution from a task, h ( t ), which can be interpreted as instantaneous work being accomplished, and has been foundational in characterizations perceptual cognitive workload capacity (e.g., Townsend & Ashby, 1978; Nozawa, 1995; Wenger, 2004). suggest that global field power electroencephalographic (EEG) data (Skrandies, 1989, 1990) proxy actual energy expended, then place ) GFP ratio to give accomplished relative expended. To make proposal plausible, we first need show terms do using previously unpublished earlier study (Wenger, DellaValle, Murray-Kolb, Haas, 2017) simultaneously collected EEG metabolic during performance task. Having shown used demonstrate interpretability NES by applying it more recent (Newbolds 2024). These outcomes potential broad applicability its characterizing expenditure work.

Language: Английский

Preface DOI
Chi‐Hung Juan, Chun‐Hao Wang, Shih‐Chun Kao

et al.

Progress in brain research, Journal Year: 2024, Volume and Issue: unknown, P. xiii - xvii

Published: Jan. 1, 2024

Citations

0
The Neural efficiency score: Validation and application DOI Creative Commons
Michael J. Wenger, James T. Townsend, Sarah Newbolds

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: July 16, 2024

Abstract We propose an indirect measure of the efficiency neural processing: score (NES). The basis for this is hazard function on reaction time distribution from a task, h ( t ), which can be interpreted as instantaneous work being accomplished, and has been foundational in characterizations perceptual cognitive workload capacity (e.g., Townsend & Ashby, 1978; Nozawa, 1995; Wenger, 2004). suggest that global field power electroencephalographic (EEG) data (Skrandies, 1989, 1990) proxy actual energy expended, then place ) GFP ratio to give accomplished relative expended. To make proposal plausible, we first need show terms do using previously unpublished earlier study (Wenger, DellaValle, Murray-Kolb, Haas, 2017) simultaneously collected EEG metabolic during performance task. Having shown used demonstrate interpretability NES by applying it more recent (Newbolds 2024). These outcomes potential broad applicability its characterizing expenditure work.

Language: Английский

Citations

0