75 citations · 148 across the 7 of their papers we have counts for
7 papers
An image-computable model of speeded decision-making
Paul I. Jaffe, Gustavo X. Santiago-Reyes, Robert J. Schafer +2
Evidence accumulation models (EAMs) are the dominant framework for modeling response time (RT) data from speeded decision-making tasks. While providing a good quantitative descript…
REFORMS: Reporting Standards for Machine Learning Based Science
Sayash Kapoor, Emily Cantrell, Kenny Peng +16
Machine learning (ML) methods are proliferating in scientific research. However, the adoption of these methods has been accompanied by failures of validity, reproducibility, and ge…
A Comparison of Neuroelectrophysiology Databases
Priyanka Subash, Alex Gray, Misque Boswell +22
As data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and…
brainlife.io: A decentralized and open source cloud platform to support neuroscience research
Soichi Hayashi, Bradley A. Caron, Anibal Sólon Heinsfeld +61
Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the comple…
AI-assisted coding: Experiments with GPT-4
Russell A Poldrack, Thomas Lu, Gašper Beguš
Artificial intelligence (AI) tools based on large language models have acheived human-level performance on some computer programming tasks. We report several experiments using GPT-…
On the long-term archiving of research data
Cyril Pernet, Claus Svarer, Ross Blair +2
Accessing research data at any time is what FAIR (Findable Accessible Interoperable Reusable) data sharing aims to achieve at scale. Yet, we argue that it is not sustainable to kee…
Self-Supervised Learning of Brain Dynamics from Broad Neuroimaging Data
Armin W. Thomas, Christopher Ré, Russell A. Poldrack
Self-supervised learning techniques are celebrating immense success in natural language processing (NLP) by enabling models to learn from broad language data at unprecedented scale…