Carter Sale, Marco Coraggio, Mengsen Zhang, Michael J. Richardson: Persistent homology broadens the controllable subspace in human structural connectomes https://arxiv.org/abs/2608.03181 https://arxiv.org/pdf/2608.03181 https://arxiv.org/html/2608.03181
arXiv q-bio.NC Neurons and Cognition
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Unofficial bot by @vele.bsky.social w/ http://github.com/so-okada/bXiv https://arxiv.org/list/q-bio.NC/new List https://bsky.app/profile/vele.bsky.social/lists/3lim7ccweqo2j ModList https://bsky.app/profile/vele.bsky.social/lists/3lim3qnexsw2g
Jacob Kang, Jong-Hyeon Seo: Detecting high-frequency brain disorder signals using dynamic mode decomposition from EEG https://arxiv.org/abs/2608.02804 https://arxiv.org/pdf/2608.02804 https://arxiv.org/html/2608.02804
[2026-08-05 Wed (UTC), 2 new articles found for q-bioNC Neurons and Cognition]
Zhaotian Gu, Jie Su, Weiwei Wang, Chang Liu, Tianyi Qian, Dahui Wang: Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory https://arxiv.org/abs/2608.01947 https://arxiv.org/pdf/2608.01947 https://arxiv.org/html/2608.01947
Dong, Zhou, Ng, Balagtas, Li, Chen, Zhou: NeuroWorld: A Latent Brain World Model for Stimulus-Conditioned Human Brain Dynamics https://arxiv.org/abs/2608.01773 https://arxiv.org/pdf/2608.01773 https://arxiv.org/html/2608.01773
Tyler Bonnen, Andrew Kyle Lampinen: Data augmentation as a framework for modeling hippocampal contributions to generalization https://arxiv.org/abs/2608.01297 https://arxiv.org/pdf/2608.01297 https://arxiv.org/html/2608.01297
Moumita Das, Dipanjan Ray, Sourabh Bhattacharya: Recursive Gaussian Processes and the Bayesian Brain https://arxiv.org/abs/2608.00503 https://arxiv.org/pdf/2608.00503 https://arxiv.org/html/2608.00503
Yannael Bossard, Lehna Bekri, Alain Destexhe: Mechanistic bridges from receptors to whole-brain dynamics: mean-field reductions, validity domains, and computational trade-offs https://arxiv.org/abs/2608.00306 https://arxiv.org/pdf/2608.00306 https://arxiv.org/html/2608.00306
[2026-08-04 Tue (UTC), 5 new articles found for q-bioNC Neurons and Cognition]
Suman S. Kulkarni, Jason Z. Kim, Panagiotis Fotiadis, Fabio Pasqualetti, Dani S. Bassett: Quantifying the cost of network computations to unpack structure-function relationships in the brain https://arxiv.org/abs/2607.29537 https://arxiv.org/pdf/2607.29537 https://arxiv.org/html/2607.29537
Zachary P. Kilpatrick, Ahmed El Hady: Resource depletion accelerates rate learning but not composition learning in patch foraging https://arxiv.org/abs/2607.29476 https://arxiv.org/pdf/2607.29476 https://arxiv.org/html/2607.29476
Saurabh Ranjan, Mukesh Makwana, Konstantina Sokratous, Brian Odegaard: metasignal: A Python Package for Comprehensive Metacognitive Analysis and Decision-Making https://arxiv.org/abs/2607.29093 https://arxiv.org/pdf/2607.29093 https://arxiv.org/html/2607.29093
Rydzenska, Winklewski, Blaszczyk-Niezgoda, Marcinkowska: Critical Flicker Fusion Frequency As A Falsifiable Boundary Between Plastic And Non-Plastic Neural Systems https://arxiv.org/abs/2607.29068 https://arxiv.org/pdf/2607.29068 https://arxiv.org/html/2607.29068
[2026-08-03 Mon (UTC), 5 new articles found for q-bioNC Neurons and Cognition]
Nadimi, Gogineni, Braun, Larsen, Blanes-Vidal, Barnkob: Stimulus-Evoked Network Dynamics in Human Cortical Organoids: From a Graph-Computational Framework to Repeated-Stimulation Depression https://arxiv.org/abs/2607.28068 https://arxiv.org/pdf/2607.28068 https://arxiv.org/html/2607.28068
[2026-07-31 Fri (UTC), 1 new article found for q-bioNC Neurons and Cognition]
Zohra Souei, et al.: Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment https://arxiv.org/abs/2607.26666 https://arxiv.org/pdf/2607.26666 https://arxiv.org/html/2607.26666
Adam Y Shavit: Three Failures of Pain Location: Why the Diagnostic Utility of Symptom Localization Is Not One Thing https://arxiv.org/abs/2607.26297 https://arxiv.org/pdf/2607.26297 https://arxiv.org/html/2607.26297
Chandra Sripada, Richard Lewis: Cognitive Convergence: Deep Similarities Between Large Language Models and Human Cognition https://arxiv.org/abs/2607.26179 https://arxiv.org/pdf/2607.26179 https://arxiv.org/html/2607.26179
[2026-07-30 Thu (UTC), 3 new articles found for q-bioNC Neurons and Cognition]
Yukiyasu Kamitani, Ken Shirakawa: Phantom Evidence: How and Why Generative AI Manufactures False Positives in Science https://arxiv.org/abs/2607.25991 https://arxiv.org/pdf/2607.25991 https://arxiv.org/html/2607.25991
Houman Safaai, Maceo Richards, Naeem Khoshnevis, Bernardo L. Sabatini: When Branch-Local Shunting Helps: A Gain-Load-Alignment Principle for Dendritic E/I Networks https://arxiv.org/abs/2607.24990 https://arxiv.org/pdf/2607.24990 https://arxiv.org/html/2607.24990
Kingsley J. A. Cox, Paul R. Adams: A Neural Network model of Cultural Evolution https://arxiv.org/abs/2607.24886 https://arxiv.org/pdf/2607.24886 https://arxiv.org/html/2607.24886
Marzieh Zare: Foundation Models for EEG Are Blind to Long-Range Temporal Correlations: A Spectral-Temporal Dissociation Behind Their Cross-Population Fragility https://arxiv.org/abs/2607.24834 https://arxiv.org/pdf/2607.24834 https://arxiv.org/html/2607.24834
Boxuan Jiang: More Electrodes, Faster Minds? Rethinking Bandwidth in Brain-Computer Interfaces https://arxiv.org/abs/2607.24820 https://arxiv.org/pdf/2607.24820 https://arxiv.org/html/2607.24820
Hongye Yang, Eva Guttmann-Flury: EEG Emotion Recognition From AI-Generated Biodigital Architecture Images https://arxiv.org/abs/2607.24808 https://arxiv.org/pdf/2607.24808 https://arxiv.org/html/2607.24808
Haruki Emori, Kazunori Kondo, Atsushi Iriki, Andrei Khrennikov: A Path Integral Model of Cognition https://arxiv.org/abs/2607.24807 https://arxiv.org/pdf/2607.24807 https://arxiv.org/html/2607.24807
Yixin Liu, Kang Yin, Hye-Bin Shin, Seong-Whan Lee: Decoding Error-Related Potentials under Multisensory Feedback with Varying Congruency https://arxiv.org/abs/2607.24806 https://arxiv.org/pdf/2607.24806 https://arxiv.org/html/2607.24806
Ferdinand M. Schessl: Forgetting Is Not a Fix: Path Dependence in Sequential Engram Editing https://arxiv.org/abs/2607.24805 https://arxiv.org/pdf/2607.24805 https://arxiv.org/html/2607.24805