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Showing 670 results for "recognition" 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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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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What are the functions of primary visual cortex (V1)?

Li Zhaoping ยท 2026

Although Hubel and Wiesel established decades ago how individual V1 neurons transform retinal inputs, functions of V1 as a whole are being discovered only recently. First, V1 acts as a motor cortex foโ€ฆ

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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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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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Large Language Models Align with the Human Brain during Creative Thinking

Mete Ismayilzada, Simone A. Luchini, Abdulkadir Gokce, Badr AlKhamissi, Antoine Bosselut, Antonio Laverghetta Jr., Lonneke van der Plas, Roger E. Beaty ยท 2026

Creative thinking is a fundamental aspect of human cognition, and divergent thinking-the capacity to generate novel and varied ideas-is widely regarded as its core generative engine. Large language moโ€ฆ

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Mapping generative AI use in the human brain: divergent neural, academic, and mental health profiles of functional versus socio emotional AI use

Junjie Wang, Xianyang Gan, Dan Liu, Jingxian He, Stefania Ferraro, Keith M. Kendrick, Weihua Zhao, Shuxia Yao, Christian Montag, Benjamin Becker ยท 2026

The widespread adoption of generative artificial intelligence conversational agents (AICAs) among university students constitutes a novel cognitive social environment whose impact on the maturing braiโ€ฆ

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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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A Synchronous EEG-fNIRS BCI: A Proof-of-Concept for Multimodal Avalanche Analysis of Motor Cognition in Older Adults

Eva Guttmann-Flury, Yun-Hsuan Chen, Qiaoyuan Xiang, Hao Zhang, Mohamad Sawan ยท 2026

This proof-of-concept study introduces a novel multimodal framework combining synchronized EEG-fNIRS modalities with neuronal avalanche analysis to identify early network dysfunction in Alzheimer's diโ€ฆ

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Inhibitory normalization of error signals improves learning in neural circuits

Roy Henha Eyono, Daniel Levenstein, Arna Ghosh, Jonathan Cornford, Blake Richards ยท 2026

Normalization is a critical operation in neural circuits. In the brain, there is evidence that normalization is implemented via inhibitory interneurons and allows neural populations to adjust to changโ€ฆ

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BCMI-Driven Motion Control Detection: EEG-Based Machine Learning and Interaction Entropy for High-Order Brain Networks

Jiajia Li, Fan Li, Jian Song ยท 2026

This study investigates the cognitive motor control detection and the underlying neuroregulatory mechanisms during music-assisted simulated driving. Using a dynamic higher-order network model construcโ€ฆ

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Human Navigation Behaviour and Brain Dynamics in Real-world Contexts

Pablo Fernandez Velasco, Antoine Coutrot, Hugo J. Spiers ยท 2026

The study of navigation behaviour and the associated brain dynamics have been a focus increasing research over the last decades. Coinciding with this has been an increased focus on a more ecological uโ€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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Polarization-wave propagation as a biophysical mechanism of visual cognition

Hyun Myung Jang, Youngwoo Jang, Hyeon Han ยท 2026

Recent experimental studies indicate that visual cognition is accompanied by slowly propagating biophysical travelling waves in cortical tissue. Here we propose polarization waves as a coherent physicโ€ฆ

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INTENSE: Detecting and disentangling neuronal selectivity in calcium imaging data

Nikita Pospelov, Viktor Plusnin, Olga Rogozhnikova, Anna Ivanova, Vladimir Sotskov, Ksenia Toropova, Olga Ivashkina, Vladik Avetisov, Konstantin Anokhin ยท 2026

Neurons encode information about the environment through their activity. As animals explore the environment, neurons rapidly acquire selectivity for distinct features of the external world; characteriโ€ฆ

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Understanding Decision-Making Across the Lifespan Needs Theoretical Neuroscience

Michael B. Ryan, Letizia Ye, Anne K. Churchland ยท 2026

Understanding how decision making changes across the lifespan is a central challenge for neuroscience, yet research on cognitive aging has remained largely disconnected from the theoretical and computโ€ฆ

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Contextuality, Incompatibility, and Intra-System Entanglement of Mental Markers

Andrei Khrennikov, Felix Benninger, Oded Shor ยท 2026

Over the past two decades, quantum-like modeling (QLM) has emerged as a powerful framework for describing non-classical features of cognition and decision-making. Rather than assuming physical quantumโ€ฆ

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Evolutionarily Primitive Social Entities

Angelica Kaufmann ยท 2026

Social entities only exist in virtue of collective acceptance or recognition, or acknowledgement by two or more individuals in the context of joint activities. Joint activities are made possible by thโ€ฆ

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A consequence of failed sequential learning: A computational account of developmental amnesia

Qi Zhang ยท 2026

Developmental amnesia, featured with severely impaired episodic memory and almost normal semantic memory, has been discovered to occur in children with hippocampal atrophy. This unique combination of โ€ฆ

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