Hu Chuan-Peng
@hcp4715.bsky.social
Self cognition | computational modelling | meta-science, open science, diversity| amateur climber. @School of Psychology, Nanjing Normal University
Reposted by Hu Chuan-Peng
Under emotion-guided attention, fearful targets, presented in high (compared to low) spatial frequency, were better detected. This was also reflected in enhanced evidence accumulation, using drift diffusion modelling.
@pandmlabhku.bsky.social
@jingwenfrancesjin.bsky.social
@hcp4715.bsky.social
@pandmlabhku.bsky.social
@jingwenfrancesjin.bsky.social
@hcp4715.bsky.social
November 22, 2025 at 5:19 PM
Under emotion-guided attention, fearful targets, presented in high (compared to low) spatial frequency, were better detected. This was also reflected in enhanced evidence accumulation, using drift diffusion modelling.
@pandmlabhku.bsky.social
@jingwenfrancesjin.bsky.social
@hcp4715.bsky.social
@pandmlabhku.bsky.social
@jingwenfrancesjin.bsky.social
@hcp4715.bsky.social
Reposted by Hu Chuan-Peng
keep an eye out for results from the perception census - they were specifically studying people with aphantasia for part of it! @anilseth.bsky.social perceptioncensus.dreamachine.world
The Perception Census
Take part in one of the largest scientific studies on
perceptual diversity ever undertaken, brought together by a team of world-leading scientists and philosophers.
perceptioncensus.dreamachine.world
November 24, 2025 at 3:05 AM
keep an eye out for results from the perception census - they were specifically studying people with aphantasia for part of it! @anilseth.bsky.social perceptioncensus.dreamachine.world
Reposted by Hu Chuan-Peng
And the next step? Full voxel-level modeling.
Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are.
arxiv.org/abs/2511.12825
Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are.
arxiv.org/abs/2511.12825
SIMBA: Scalable Image Modeling using a Bayesian Approach, A Consistent Framework for Including Spatial Dependencies in fMRI Studies
Bayesian spatial modeling provides a flexible framework for whole-brain fMRI analysis by explicitly incorporating spatial dependencies, overcoming the limitations of traditional massive univariate app...
arxiv.org
November 18, 2025 at 10:13 PM
And the next step? Full voxel-level modeling.
Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are.
arxiv.org/abs/2511.12825
Recent numerical advances cracked the scalability barrier. Voxel-level hierarchical modeling is now feasible, revealing just how punishing traditional multiple-comparison adjustments really are.
arxiv.org/abs/2511.12825
Reposted by Hu Chuan-Peng
I made a whole doctoral-level assignment about the problems of reporting in meta-analysis (among other problems), called a "reverse meta-analysis." 14/14 students found some kind of errors, some of them major! docs.google.com/document/d/1...
PSY 8121 Fall 2024 Reverse Meta-Analysis Project
PSY 8121: History and Methods of Psychology - Fall 2024 Reverse Meta-Analysis Project You will not conduct a meta-analysis in this class. You will take one apart, deconstruct it, reverse it. Meta-an...
docs.google.com
November 15, 2025 at 2:30 PM
I made a whole doctoral-level assignment about the problems of reporting in meta-analysis (among other problems), called a "reverse meta-analysis." 14/14 students found some kind of errors, some of them major! docs.google.com/document/d/1...
Reposted by Hu Chuan-Peng
Very clear illustration of the different effects of alternative visualiaations of the same data
www.nature.com/articles/s44...
www.nature.com/articles/s44...
November 15, 2025 at 8:51 AM
Very clear illustration of the different effects of alternative visualiaations of the same data
www.nature.com/articles/s44...
www.nature.com/articles/s44...