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๐Ÿ” tim bode ๐Ÿ“‚ Neuroscience
Showing 720 results for "tim bode" in Neuroscience
Neuroscience Preprint PDF DOI

Multisensory learning recruits visual neurons into an olfactory memory engram

Zeynep Okray, Nils Otto, Anna A. Cook, Clifford Talbot, Ashwin Miriyala, Martin Klappenbach, Ciara Stern, Kieran Desmond, Paola Vargas-Gutierrez, Scott Waddell ยท 2026

Associating multiple sensory cues with a single experience or object is a fundamental process that improves object recognition and memory performance. However, neural mechanisms that bind sensory featโ€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

Integrative neurocybernetic modeling in the era of large-scale neuroscience

Il Memming Park, Ayesha Vermani, Gonzalo G. de Polavieja, Juan Alvaro Gallego, Kathleen Esfahany, Shreya Saxena, Michael Orger, Auke Ijspeert, Matthew Dowling, Daniel McNamee, Srinivas C. Turaga, Zachary Mainen, Joseph J. Paton, Alfonso Renart ยท 2026

Large-scale neuroscience is generating rich datasets across animals, brain areas and behavioral contexts, yet our modeling efforts remains fragmented across isolated experiments. We argue that understโ€ฆ

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Triple Configuration of Brain Networks Based on Recurrent Neural Networks: The Synergistic Effects of Exogenous Stimuli, Task Demands, and Spontaneous Activity

Binghao Yang, Guangzong Chen ยท 2026

The foundation of cognitive flexibility and higher-order intelligence lies in the functional structure and activity of brain networks, which can be dynamically configured by both external environmentsโ€ฆ

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NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence

Anthony Zador, Jean-Marc Fellous, Terrence Sejnowski, Gina Adam, James B Aimone, Akwasi Akwaboah, Yiannis Aloimonos, Carmen Amo Alonso, Chiara Bartolozzi, Michael J. Bennington, Michael Berry, Bing W. Brunton, Gert Cauwenberghs, Hillel J. Chiel, Tobi Delbruck, John Doyle, Jason Eshraghian, Ralph Etienne-Cummings, Cornelia Fermuller, Matthew Jacobsen, Ali A. Minai, Barbara Oakley, Alexander G. Ororbia II, Joe Paton, Blake Richards, Yulia Sandamirskaya, Abhronil Sengupta, Shihab Shamma, Michael P. Stryker, Seong Jong Yoo, Steven W. Zucker ยท 2026

Neuroscience and Artificial Intelligence (AI) have made impressive progress in recent years but remain only loosely interconnected. Based on a workshop convened by the National Science Foundation in Aโ€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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Covariant quantum error correction in a three-layer quantum brain model: computational analysis of layer-specific coherence dynamics

Hikaru Wakaura ยท 2026

Quantum brain proposals require coherence on behaviorally relevant timescales, yet the gap between spin coherence times and neural decision windows has remained a quantitative obstacle. We evaluate apโ€ฆ

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Allocentric Navigation Is Computationally Universal

Gualtiero Piccinini ยท 2026

This report presents three proofs showing that idealized architectures capable of navigation guided by allocentric maps with landmark structure can be computationally universal. The navigation may occโ€ฆ

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The Geometry of Forgetting

Sambartha Ray Barman, Andrey Starenky, Sophia Bodnar, Nikhil Narasimhan, Ashwin Gopinath ยท 2026

Why do we forget? Why do we remember things that never happened? The conventional answer points to biological hardware. We propose a different one: geometry. Here we show that high-dimensional embeddiโ€ฆ

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Curvature Sensitive Cells in the Modular Structures of The Visual Cortex

Giovanna Citti, Vasiliki Liontou ยท 2026

We propose a model of the functional architecture of curvature-sensitive cells in the primary visual cortex. The model accounts for the modular and hierarchical organization of the cortex, the horizonโ€ฆ

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Stringology-Based Motif Discovery from EEG Signals: an ADHD Case Study

Anat Dahan, Samah Ghazawi ยท 2026

We propose a novel computational framework for analyzing electroencephalography (EEG) time series using methods from stringology, the study of efficient algorithms for string processing, to systematicโ€ฆ

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Neural Fields as World Models

Joshua Nunley ยท 2026

How does the brain predict physical outcomes while acting in the world? Machine learning world models compress visual input into latent spaces, discarding the spatial structure that characterizes sensโ€ฆ

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Probability-Invariant Random Walk Learning on Gyral Folding-Based Cortical Similarity Networks for Alzheimer's and Lewy Body Dementia Diagnosis

Minheng Chen, Tong Chen, Chao Cao, Jing Zhang, Tianming Liu, Li Su, Dajiang Zhu ยท 2026

Alzheimer's disease (AD) and Lewy body dementia (LBD) present overlapping clinical features yet require distinct diagnostic strategies. While neuroimaging-based brain network analysis is promising, atโ€ฆ

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The Representational Alignment Hypothesis: Evidence for and Consequences of Invariant Semantic Structure Across Embedding Modalities

Akhil Ramidi, Kevin Scharp ยท 2026

There is growing evidence that independently trained AI systems come to represent the world in the same way. In other words, independently trained embeddings from text, vision, audio, and neural signaโ€ฆ

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Vulnerability-Amplifying Interaction Loops: a systematic failure mode in AI chatbot mental-health interactions

Veith Weilnhammer, Kevin YC Hou, Lennart Luettgau, Christopher Summerfield, Raymond Dolan, Matthew M Nour ยท 2026

Millions of users turn to consumer AI chatbots to discuss mental health and behavioral concerns. While this presents unprecedented opportunities to deliver population-level support, it also highlightsโ€ฆ

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Single-Node Wilson--Cowan Model Accounts for Speech-Evoked $\gamma$-Band Deficits in Schizophrenia

Zhengdi Zhang, Yan Xu, Wenjun Xia ยท 2026

Cortical gamma ($\gamma$)-band activity reflects local excitation-inhibition (E/I) balance. In schizophrenia (SCZ), reduced task-evoked gamma suggests altered E/I dynamics, but it is unclear whether dโ€ฆ

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Mapping Connectomic Structure to Function(s) in Cerebellar-like Networks using Kernel Regression

William Dorrell, Peter E. Latham ยท 2026

Cerebellar-like networks, in which input activity patterns are separated by projection to a much higher-dimensional space before classification, are a recurring neurobiological motif, present in the cโ€ฆ

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The embodied brain: Bridging the brain, body, and behavior with neuromechanical digital twins

Sibo Wang-Chen, Pavan Ramdya ยท 2026

Animal behavior reflects interactions between the nervous system, body, and environment. Therefore, biomechanics and environmental context must be considered to understand algorithms for behavioral coโ€ฆ

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Past Psychedelic Use Predicts Divergent Thinking

Gregory J Pope, Christopher Timmermann, William Trender, Peter J Hellyer, Maria Balaet, Ruben E. Laukkonen ยท 2026

Psychedelics have shown potential in treating a range of mental health conditions, yet far less is known about their impact on creativity. This study examined three components of creativity-divergent โ€ฆ

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The hands of time: Moving my body to keep time order in the brain

Julien Lagarde ยท 2025

The brain is very often viewed as a network, be it at small scale made of cells, mostly neurons, or at larger scale made of neuronal assemblies. Here we introduce a conjecture, in the spirit of a philโ€ฆ

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