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๐Ÿ” will constable ๐Ÿ“‚ Neuroscience
Showing 1908 results for "will constable" in Neuroscience
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

EyeBrain: Left and Right Brain Lateralization Activity Classification Through Pupil Diameter and Fixation Duration

Ko Watanabe, Pooja Pol, Nicolas Gro{ss}mann, Shoya Ishimaru, Andreas Dengel ยท 2026

The relationship between brain lateralization and cognitive functions is well-documented. The left hemisphere primarily handles tasks such as language and arithmetic, while the right hemisphere is invโ€ฆ

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Neuroscience Preprint PDF DOI

Vision as looking and seeing through a bottleneck

Li Zhaoping ยท 2026

Progress in vision research has been slower downstream than upstream of primary visual cortex (V1). Traditional frameworks have largely overlooked a central constraint: only a tiny fraction of retinalโ€ฆ

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Neuroscience Preprint PDF DOI

Modelling time-order effects in haptic perception with a Bayesian dynamical framework

Gaston Avetta, Jose Lobera, Juan Jose Zarate, Ines Samengo, Damian G. Hernandez ยท 2026

Perceptual judgments of sequential stimuli are systematically biased by prior expectations and by the temporal structure of sensory input. In haptic discrimination tasks, these effects often manifest โ€ฆ

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Neuroscience Preprint PDF DOI

Seeing the imagined: a latent functional alignment in visual imagery decoding from fMRI data

Fabrizio Spera, Tommaso Boccato, Michal Olak, Sara Cammarota, Matteo Ciferri, Michelangelo Tronti, Nicola Toschi, Matteo Ferrante ยท 2026

Recent progress in visual brain decoding from fMRI has been enabled by large-scale datasets such as the Natural Scenes Dataset (NSD) and powerful diffusion-based generative models. While current pipelโ€ฆ

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Neuroscience Preprint PDF DOI

Integrated information theory: the good, the bad and the misunderstood

Adam B. Barrett, Borjan Milinkovic, Pedro A. M. Mediano, Fernando E. Rosas, Daniel Bor, Lionel Barnett, Anil K. Seth ยท 2026

The integrated information theory of consciousness (IIT) is uniquely ambitious in proposing a mathematical formula, derived from apparently fundamental properties of conscious experience, to describe โ€ฆ

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Neuroscience Preprint PDF DOI

Retina gap junctions support the robust perception by warping neural representational geometries along the visual hierarchy

Yang Yue, Shenjian Zhang, Yonghong Tian, Kai Du, Tiejun Huang ยท 2026

Deep Neural Networks (DNNs) are vulnerable to elaborately designed adversarial noise, although they have achieved extraordinary success in many tasks. Compared with DNNs, the human visual system is hiโ€ฆ

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Neuroscience Preprint PDF DOI

Ultrasonic Brain Computer Interfaces for Enhancing Human-Machine Cognition

William J. Tyler ยท 2026

Low-intensity transcranial focused ultrasound (tFUS) is rapidly emerging as a transformative non-invasive brain stimulation (NIBS) modality characterized by high spatial resolution and ability to targโ€ฆ

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Neuroscience Preprint PDF DOI

Copy-Spread-Annihilate Dynamics in Degree-Assortative Networks

Yan Hao, Daniel J. Graham, Marc-Thorsten Hutt ยท 2026

In many systems, communication proceeds by broadcasting rather than single source-target routing, but network structures that maximize signal lifetime are not well understood. Degree correlations are โ€ฆ

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Neuroscience Preprint PDF DOI

A Normative Theory of Decision Making from Multiple Stimuli: The Contextual Diffusion Decision Model

Michael Shvartsman, Vaibhav Srivastava, Narayanan Sundaram, Jonathan D. Cohen ยท 2026

The dynamics of simple two-alternative forced-choice (2AFC) decisions are well-modeled by a class of random walk models (e.g. Laming, 1968; Ratcliff, 1978; Usher & McClelland, 2001; Bogacz et al., 200โ€ฆ

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Longitudinal Boundary Sharpness Coefficient Slopes Predict Time to Alzheimer's Disease Conversion in Mild Cognitive Impairment: A Survival Analysis Using the ADNI Cohort

Ishaan Cherukuri ยท 2026

Predicting whether someone with mild cognitive impairment (MCI) will progress to Alzheimer's disease (AD) is crucial in the early stages of neurodegeneration. This uncertainty limits enrollment in cliโ€ฆ

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Modeling the Disjunction Effect within Classical Probability: A New Decision Process Model and Comparison with Quantum-like Models

Ryo Nasu, Yoshihiro Maruyama ยท 2026

The disjunction effect in human decision making is often taken to show that the classical law of total probability is violated, motivating quantum-like models. We re-examine this claim for the Prisoneโ€ฆ

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Neuroscience Preprint PDF DOI

Spatial navigation in preclinical Alzheimer's disease: A review

Syrine Salouhou, Victor Gilles, Remi Vallee, Gillian T. Coughlan, Romain Bachelet, Michael Hornberger, Hugo Spiers, Antoine Coutrot, Antoine Garnier-Crussard ยท 2026

Alzheimer's disease (AD) develops over a prolonged preclinical phase, during which neuropathological changes accumulate long before cognitive symptoms appear. Identifying cognitive functions affected โ€ฆ

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Problem difficulty and waiting time shape the level of detail and temporal organization of visual strategies in human planning

Mattia Eluchans, Giovanni Pezzulo ยท 2026

Planning entails identifying sequences of actions to reach a goal, yet we still have incomplete knowledge of how problem constraints, such as difficulty and available time, influence the visual strateโ€ฆ

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Ca2+ transient detection and segmentation with the Astronomically motivated algorithm for Background Estimation And Transient Segmentation (Astro-BEATS)

Bolin Fan, Anthony Bilodeau, Frederic Beaupre, Theresa Wiesner, Christian Gagne, Flavie Lavoie-Cardinal, Renee Hlozek ยท 2026

Fluorescence-based Ca$^{2+}$-imaging is a powerful tool for studying localized neuronal activity, including miniature Synaptic Calcium Transients, providing real-time insights into synaptic activity. โ€ฆ

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Neuroscience Preprint PDF DOI

The immediate effect of kangaroo mother care on Mother-infant inter-brain synchrony and infant brain function

Yu Liu, Jiayang Xu, Tianzi Wang, Zichen Shi, Xiang Chen, Yanting Kong, Lianli Chen, Sha Sha, Shanbao Tong, Chuhan Dong, Guanghai Wang, Xiaoli Guo, Fei Bei ยท 2026

Kangaroo mother care (KMC) is an intervention involving skin-to-skin contact that promotes physiological stability and supports long-term neurodevelopment in preterm infants. However, the underlying nโ€ฆ

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Neuroscience Preprint PDF DOI

Dual-Laws Model for a theory of artificial consciousness

Yoshiyuki Ohmura, Yasuo Kuniyoshi ยท 2026

Objectively verifying the generative mechanism of consciousness is extremely difficult because of its subjective nature. As long as theories of consciousness focus solely on its generative mechanism, โ€ฆ

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Neuroscience Preprint PDF DOI

Uncovering statistical structure in large-scale neural activity with Restricted Boltzmann Machines

Nicolas Bereux, Giovanni Catania, Aurelien Decelle, Francesca Mignacco, Alfonso de Jesus Navas Gomez, Beatriz Seoane ยท 2026

Large-scale electrophysiological recordings now allow simultaneous monitoring of thousands of neurons across multiple brain regions, revealing structured variability in neural population activity. Undโ€ฆ

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Efficient and robust control with spikes that constrain free energy

Andre Urbano, Pablo Lanillos, Sander Keemink ยท 2026

Animal brains exhibit remarkable efficiency in perception and action, while being robust to both external and internal perturbations. The means by which brains accomplish this remains, for now, poorlyโ€ฆ

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Neuroscience Preprint PDF DOI

Behavior-dLDS: A decomposed linear dynamical systems model for neural activity partially constrained by behavior

Eva Yezerets, En Yang, Misha B. Ahrens, Adam S. Charles ยท 2026

Brain-wide recordings of large-scale networks of neurons now provide an unprecedented view into how the brain drives behavior. However, brain activity contains both information directly related to behโ€ฆ

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