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Neurons & Cognition
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Awesome Neurons & Cognition β curated papers, datasets & benchmarks Β· Awesome Recommender Systems
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Neurons & Cognition
18 papers tagged Neurons & Cognition β re-sort below
Papers
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18 papers Β· trending (default)
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Multi-Granularity Reasoning for Natural Language Inference
(2026)
Chunling Xi et al.
4.95
Visualizing in the Mind's Eye: Icon Design Shapes Mental Imagery of Fire Risks
(2026)
Wen Xu et al.
4.39
When Attention Collapses: Stage-Aware Visual Token Pruning from Structure to Semantics
(2026)
Jiahui Wang et al.
4.33
Formalizing the Binding Problem
(2026)
Lianghuan Huang et al.
4.33
Bridging the Usability Gap: Lessons from Interpreting Studies for Machine Interpreting Design
(2026)
Claudio Fantinuoli
4.33
Do Transformers Need Three Projections? Systematic Study of QKV Variants
(2026)
Ali Kayyam et al.
3.45
TimeCapsule: Generative Hallucination as a Method for Historical Sensemaking
(2026)
Hayk Grigorian et al.
2.00
More Electrodes, Faster Minds? Rethinking Bandwidth in Brain-Computer Interfaces
(2026)
Boxuan Jiang
2.00
Chart-Supported or Model-Supplied? Examining MLLM-Generated Claims for Accessible Visualization
(2026)
Ishrat Jahan Eliza et al.
2.00
Beyond the Post Hoc User Study: Modeling Visual Decision-Making with Active Inference
(2026)
Harrison J. Goldwyn et al.
2.00
Beyond Epistemia: Epistemic Schizologia and Large Language Models as Techno-Semiotic Machines
(2026)
Federico Cabitza et al.
2.00
Artificial Intelligence, conceptual metaphors and conceptual engineering: Are AI-based framings of human behaviour and cognition successful?
(2026)
Warmhold Jan Thomas Mollema et al.
1.94
Mechanistic Interpretability Needs Philosophy
(2026)
Iwan Williams et al.
1.94
Artificial Phantasia: Emergent Mental Imagery in Large Language Models
(2026)
Morgan McCarty et al.
1.94
Context-dependent manifold learning: A neuromodulated constrained autoencoder approach
(2026)
J\'er\^ome Adriaens (Neuroengineering Lab et al.
1.94
Transformers Linearly Represent Highly Structured World Models
(2026)
Roman Kniazev et al.
1.94
Position: The Turing-Completeness of Real-World Autoregressive Transformers Relies Heavily on Context Management
(2026)
Guanyu Cui et al.
1.94
Embedding Projector: Interactive Visualization and Interpretation of Embeddings
(2016)
Daniel Smilkov et al.
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