Good Papers

Showing papers from Chinese Institute for Brain Research Show all papers

57%Worth a look
?Worth a lookVote to see the score

Human-Inspired, Task-Dimension-Guided Exploration for Efficient Learning and Transfer in High Dimensions

Fanyu Zhu, Jiahui An, Ni Ji

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
76%Highly rated
?Highly ratedVote to see the score

Neural Structural Reasoner: A Brain-inspired Architecture for Reasoning over Structured Knowledge

Neural Structural Reasoner is a brain-inspired network preserving relational structure in neuronal dynamics to achieve interpretable, efficient structural reasoning over knowledge graphs.

Zixing Jia, Yuhang Pan, Ni Ji

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
88%Must read
?Must readVote to see the score

EEG Benchmarking Needs a Task Specification Layer: NeuroDoc for Rulebook-Guided, Executable Benchmark Construction

NeuroDoc introduces a rulebook-guided task specification layer that standardizes EEG benchmarks into 53 reviewed entries with 245 executable task definitions across four model backbones.

Chengxuan Qin, 致格 陈, Pengshu, Rui Yang and 8 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5