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๐Ÿ” spatial analysis ๐Ÿ“‚ Neuroscience
Showing 2857 results for "spatial analysis" in Neuroscience
Neuroscience Preprint PDF DOI

On Agentic Behavioral Modeling

Dirk Ostwald, Rasmus Bruckner, Franziska Usee, Belinda Fleischmann, Joram Soch, Sean Mulready ยท 2026

Integrating theoretical neuroscience, decision theory, and probabilistic inference offers a promising route to understanding human cognition, yet concrete methodological bridges between agentic AI modโ€ฆ

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Neuroscience Preprint PDF DOI

Simulating Infant First-Person Sensorimotor Experience via Motion Retargeting from Babies to Humanoids

Francisco M. Lopez, Hoshinori Kanazawa, Ondrej Fiala, Yakov Balashov, Valentin Marcel, Lukas Rustler, Miles Lenz, Dongmin Kim, Yasuo Kuniyoshi, Jochen Triesch, Matej Hoffmann ยท 2026

Motion retargeting from humans to human-like artificial agents is becoming increasingly important as humanoid robots grow more capable. However, most existing approaches focus only on reproducing kineโ€ฆ

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Neuroscience Preprint PDF DOI

The Genetic and Environmental Architecture of the Human Functional Connectome

Tanu Raghav, Daniel Guerrero, Uttara Tipnis, Julie Sara Benny, Mintao Liu, Mario Dzemidzic, Arian Ashourvan, Alex P. Miller, Beau Ances, Jaroslaw Harezlak, Joaquin Goni ยท 2026

Functional connectivity varies across individuals due to genetic and environmental factors, yet classical twin models typically confound non-shared environment with measurement error and are largely lโ€ฆ

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Neuroscience Preprint PDF DOI

Early Preconfiguration Failure: A Novel Predictor of the Repetitive Subconcussion

Jiajia Li, Zhenzhen Yu, Zhenghao Fu, Guozheng Xu, Jian Song ยท 2026

Early diagnosis and assessment of repetitive subconcussive (rSC) brain injuries are crucial for early clinical intervention. Conventional methods, largely relying on slow fMRI, fail to capture milliseโ€ฆ

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Neuroscience Preprint PDF DOI

Resting-State EEG Biomarkers of Tinnitus Robust to Cross-Subject and Cross-Platform Variation

Adyant Balaji, Abhinav Uppal, Min Suk Lee, Yuchen Xu, Akihiro Matsuoka, Gert Cauwenberghs ยท 2026

Tinnitus is a prevalent auditory condition lacking objective biomarkers, motivating the search for reliable neural signatures. EEG, being a noninvasive method of brain imaging with a high temporal resโ€ฆ

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Neuroscience Preprint PDF DOI

Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity

Deepank Girish, Yi Hao Chan, Sukrit Gupta, Jing Xia, Jagath C. Rajapakse ยท 2026

Several brain foundation models (FM) have recently been proposed to predict brain disorders by modelling dynamic functional connectivity (FC). While they demonstrate remarkable model performance and zโ€ฆ

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Neuroscience Preprint PDF DOI

Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models

Larissa Hofling, Matthias Tangemann, Lotta Piefke, Susanne Keller, Katrin Franke, Matthias Bethge ยท 2026

Neuroscientists and computer vision researchers use model-brain alignment benchmarks to compare artificial and biological vision systems. These benchmarks rank models according to alignment measures sโ€ฆ

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Neuroscience Preprint PDF DOI

Quantum-Like Models of Cognition and Decision Making: Open-Systems and Gorini--Kossakowski--Sudarshan--Lindblad Dynamics

Masanari Asano, Andrei Khrennikov ยท 2026

This paper starts with surveying the evolution of quantum-like models of cognition and decision making, transitioning from static kinematic representations to a robust dynamical framework based on opeโ€ฆ

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Neuroscience Preprint PDF DOI

Poisson Flow Model of Cortical Folding Pattern

Moo K. Chung, Luigi Maccotta, Aaron Struck ยท 2026

Cortical folding reflects coordinated neurodevelopmental processes and provides a sensitive marker of neurological disease. In juvenile myoclonic epilepsy (JME), structural abnormalities are subtle anโ€ฆ

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Robust Evaluation of Neural Encoding Models via ground-truth approximation

Giovanni M. Di Liberto ยท 2026

Encoding models enable measurement of how our brains represent sensory inputs using electro-and magneto-encephalography (MEEG). Evaluating how closely encoding models reflect the underlying brain funcโ€ฆ

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Neuroscience Preprint PDF DOI

Neuronal electricality founded in murburn-thermodynamic principles: 1. Background and basic theoretical formulation

Kelath Murali Manoj, Nagamani Sukumar ยท 2026

Trans-membrane gradients and fluxes of cations (H+, Na+, K+, etc.) were deemed to be the rationale of electrical activities of aerobic cells/organelles, as per classical perceptions. Murburn concept (โ€ฆ

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The illusory simplicity of the feedforward pass: evidence for the dynamical nature of stimulus encoding along the primate ventral stream

Daniel Anthes, Sushrut Thorat, Anna Mitola, Paolo Papale, Peter Konig, Tim C Kietzmann ยท 2026

In studying primate vision, a large body of work focuses on the first feedforward sweep. During this initial time window, information is thought to pass through ventral stream regions in a stage-like โ€ฆ

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Machine learning approaches to uncover the neural mechanisms of motivated behaviour: from ADHD to individual differences in effort and reward sensitivity

Nam Trinh ยท 2026

Motivated behaviour relies on the brain's capacity to evaluate effort and reward. Dysregulation within these processes contributes to a spectrum of conditions, from hyperactivity in attention-deficit/โ€ฆ

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Relationship between the level of mental fatigue induced by a prolonged cognitive task and the degree of balance disturbance

Frederic Noe (MEPS), Betty Hachard (MEPS), Hadrien Ceyte (DevAH, ISM), Noelle Bru (LMAP), Thierry Paillard (MEPS) ยท 2026

This study investigated the effects of mental fatigue (MF) induced by a 90-min AX-continuous performance test (AX-CPT) on balance control by addressing the issue of the heterogeneity of individuals' rโ€ฆ

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Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching

Nicole Rogalla, Yuzhen Qin, Mario Senden, Ahmed El-Gazzar, Marcel van Gerven ยท 2026

Forecasting neural activity in response to naturalistic stimuli remains a key challenge for understanding brain dynamics and enabling downstream neurotechnological applications. Here, we introduce a gโ€ฆ

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Astrocytic resource diffusion stabilizes persistent activity in neural fields

Noah Palmer, Heather L. Cihak, Daniele Avitabile, Zachary P. Kilpatrick ยท 2026

Persistent neural activity underlying working memory requires sustained synaptic transmission, yet the metabolic and neurotransmitter support provided by astrocyte networks is largely absent from spatโ€ฆ

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The Rise and Fall of $G$ in AGI

David C. Krakauer ยท 2026

In the psychological literature the term `general intelligence' describes correlations between abilities and not simply the number of abilities. This paper connects Spearman's $g$-factor from psychomeโ€ฆ

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Neuroscience Preprint PDF DOI

MLE-Toolbox: An Open-Source Toolbox for Comprehensive EEG and MEG Data Analysis

Xiaobo Liu ยท 2026

MLE-Toolbox is a comprehensive open-source MATLAB toolbox for end-to-end analysis of magnetoencephalography (MEG) and electroencephalography (EEG) data. Inspired by widely used neuroimaging platforms โ€ฆ

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Neuroscience Preprint PDF DOI

Quantum-like Cognition in Process Theories: An Analysis

Sean Tull, Masanao Ozawa ยท 2026

Various effects in human cognition, often considered `non-classical', have been argued to be most naturally modelled by quantum-like models of decision making. We extend this approach to describe modeโ€ฆ

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The physical basis of information flow in neural matter: a thermocoherent perspective on cognitive dynamics

Onur Pusuluk ยท 2026

Information flow is central to contemporary accounts of cognition, yet its physical basis in living neural matter remains poorly specified. Here, we develop a multiscale resource-theoretical frameworkโ€ฆ

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