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🔍 thomas eiter 📂 Neuroscience
Showing 466 results for "thomas eiter" in Neuroscience
Neuroscience Preprint PDF DOI

Vision as looking and seeing through a bottleneck

Li Zhaoping · 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 retinal…

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Neuroscience Preprint PDF DOI

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 · 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 …

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Neuroscience Preprint PDF DOI

Relaxing in Warped Spaces: Generalized Hierarchical and Modular Dynamical Neural Network

Kazuyoshi Tsutsumi, Ernst Niebur · 2026

We propose a dynamical neural network model with a hierarchical and modular structure. The network architecture can be derived by minimizing an energy function that is originally designed based on two…

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Neuroscience Preprint PDF DOI

From Patterns to Policy: A Scoping Review Based on Bibliometric Analysis (ScoRBA) of Intelligent and Secure Smart Hospital Ecosystems

Adi Wijaya, Budi Hermawan, Wiga Maulana Baihaqi, Catur Supriyanto · 2026

This study examines the evolution of Intelligent and Secure Smart Hospital Ecosystems using a Scoping Review with Bibliometric Analysis (ScoRBA) to map research patterns, identify gaps, and derive pol…

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Neuroscience Preprint PDF DOI

Predicting Neuromodulation Outcome for Parkinson's Disease with Generative Virtual Brain Model

Siyuan Du, Siyi Li, Shuwei Bai, Ang Li, Haolin Li, Mingqing Xiao, Yang Pan, Dongsheng Li, Weidi Xie, Yanfeng Wang, Ya Zhang, Chencheng Zhang, Jiangchao Yao · 2026

Parkinson's disease (PD) affects over ten million people worldwide. Although temporal interference (TI) and deep brain stimulation (DBS) are promising therapies, inter-individual variability limits em…

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Neuroscience Preprint PDF DOI

Allocentric Navigation Is Computationally Universal

Gualtiero Piccinini · 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 occ…

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Neuroscience Preprint PDF DOI

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

Mattia Eluchans, Giovanni Pezzulo · 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 strate…

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Neuroscience Preprint PDF DOI

Efficient and robust control with spikes that constrain free energy

Andre Urbano, Pablo Lanillos, Sander Keemink · 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, poorly…

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Neuroscience Preprint PDF DOI

An Information-Theoretic Framework For Optimizing Experimental Design To Distinguish Probabilistic Neural Codes

Po-Chen Kuo, Edgar Y. Walker · 2026

The Bayesian brain hypothesis has been a leading theory in understanding perceptual decision-making under uncertainty. While extensive psychophysical evidence supports the notion of the brain performi…

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Neuroscience Preprint PDF DOI

Collective Dynamics in Spiking Neural Networks Beyond Dale's Principle

Ross Ah-Weng, Hardik Rajpal · 2026

Dale's Principle has historically guided neuroscience research as a valuable rule of thumb, namely that all synapses on each neuron release the same set of neurotransmitters. Most existing Spiking Neu…

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Neuroscience Preprint PDF DOI

CL API: Real-Time Closed-Loop Interactions with Biological Neural Networks

David Hogan, Andrew Doherty, Boon Kien Khoo, Johnson Zhou, Richard Salib, James Stewart, Kiaran Lawson, Alon Loeffler, Brett Kagan · 2026

Biological neural networks (BNNs) are increasingly explored for their rich dynamics, parallelism, and adaptive behavior. Beyond understanding their function as a scientific endeavour, a key focus has …

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Neuroscience Preprint PDF DOI

Audited calibration under regime shift as a computational test of support-structured broadcast

Mark Walsh · 2026

A central prediction of the accompanying theoretical framework is that metacognitive calibration can vary even when content-level performance is held approximately fixed, depending on whether support …

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Neuroscience Preprint PDF DOI

A computational account of dreaming: learning and memory consolidation

Qi Zhang · 2026

A number of studies have concluded that dreaming is mostly caused by randomly arriving internal signals because "dream contents are random impulses", and argued that dream sleep is unlikely to play an…

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Neuroscience Preprint PDF DOI

Closed Eyes and Coil Size -- Effects on Motor Threshold and Intracortical Inhibition, measured with TMS

Meher Sabharwal, Narin Suleyman, Gabriel R. Palma, Roisin McMackin · 2026

Rationale: Transcranial magnetic stimulation (TMS)-based measures such as resting motor threshold (RMT) and short interval intracortical inhibition (SICI) are widely employed to study motor cortical a…

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Neuroscience Preprint PDF DOI

Charting the velocity of brain growth and development

Johanna M. M. Bayer, Augustijn A. A. de Boer, Barbora Rehak-Bucova, Charlotte J. Fraza, Tobias Banaschewski, Gareth J.Barker, Arun L.W. Bokde, Ruediger Bruehl, Sylvane Desrivieres, Herta Flor, Hugh Garavan, Penny Gowland, Antoine Grigis, Andreas Heinz, Herve Lemaitre, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artigues, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomas Paus, Luise Poustka, Michael N. Smolka, Nathalie Holz, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Paul Wirsching, Gunter Schumann, Alzheimers Disease Neuroimaging Initiative, Nina Kraguljac, Christian F. Beckmann, Andre F. Marquand · 2026

Brain charts have emerged as a highly useful approach for understanding brain development and aging on the basis of brain imaging and have shown substantial utility in describing typical and atypical …

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Neuroscience Preprint PDF DOI

Neuronal Spike Trains as Functional-Analytic Distributions: Representation, Analysis, and Significance

Gabriel A. Silva · 2026

The action potential constitutes the digital component of the signaling dynamics of neurons. But the biophysical nature of the full-time course of the action potential associated with changes in membr…

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Neuroscience Preprint PDF DOI

A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation

Shanshan Qin, Joshua L. Pughe-Sanford, Alexander Genkin, Pembe Gizem Ozdil, Philip Greengard, Anirvan M. Sengupta, Dmitri B. Chklovskii · 2025

We introduce a biologically inspired, multilayer neural architecture composed of Rectified Spectral Units (ReSUs). Each ReSU projects a recent window of its input history onto a canonical direction ob…

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Neuroscience Preprint PDF DOI

Learning continually with representational drift

Suzanne van der Veldt, Gido M. van de Ven, Sanne Moorman, Guillaume Etter · 2025

Deep artificial neural networks famously struggle to learn from non-stationary streams of data. Without dedicated mitigation strategies, continual learning is associated with continuous forgetting of …

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Neuroscience Preprint PDF DOI

Macular: a multi-scale simulation platform for the retina and the primary visual system

Bruno Cessac, Erwan Demairy, Jerome Emonet, Evgenia Kartsaki, Thibaud Kloczko, Come Le Breton, Nicolas Niclausse, Selma Souihel, Jean-Luc Szpyrka, Julien Wintz · 2025

We developed Macular, a simulation platform with a graphical interface, designed to produce in silico experiment scenarios for the retina and the primary visual system. A scenario consists of generati…

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Neuroscience Preprint PDF DOI

Emergence of Language in the Developing Brain

Linnea Evanson, Christine Bulteau, Mathilde Chipaux, Georg Dorfmuller, Sarah Ferrand-Sorbets, Emmanuel Raffo, Sarah Rosenberg, Pierre Bourdillon, Jean-Remi King · 2025

A few million words suffice for children to acquire language. Yet, the brain mechanisms underlying this unique ability remain poorly understood. To address this issue, we investigate neural activity r…

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