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neurons and cognition

GeneTech 知识引擎共收录 350 篇相关科研实体，横跨 18 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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• Masked Autoencoders Learn Perception-Relevant Representations from Resting State Neural Data
  2026 · 仿生智能 · Clinical neuroprosthetics face a data bottleneck: labeled perception trials are scarce while hours of spontaneous neural activity are largely underutilized. Here, we test whether self-supervised learning can use these un…
• Fluctuation-dissipation of the Kuramoto model on fruit-fly connectomes
  2025 · 脑科学 · We investigate the distance from equilibrium using the Kuramoto model via the degree of fluctuation-dissipation violation as the consequence of different levels of edge weight anisotropies. This is achieved by solving th…
• How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
  2024 · 医疗人工智能 · The cell is arguably the most fundamental unit of life and is central to understanding biology. Accurate modeling of cells is important for this understanding as well as for determining the root causes of disease. Recent…
• Towards auditory attention decoding with noise-tagging: A pilot study
  2024 · 仿生智能 · Auditory attention decoding (AAD) aims to extract from brain activity the attended speaker amidst candidate speakers, offering promising applications for neuro-steered hearing devices and brain-computer interfacing. This…
• Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types
  2024 · 仿生智能 · This research aims to decode hand grasps from Electroencephalograms (EEGs) for dexterous neuroprosthetic development and Brain-Computer Interface (BCI) applications, especially for patients with motor disorders. Particul…
• Sequential Best-Arm Identification with Application to Brain-Computer Interface
  2023 · 仿生智能 · A brain-computer interface (BCI) is a technology that enables direct communication between the brain and an external device or computer system. It allows individuals to interact with the device using only their thoughts,…
• Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses
  2023 · 仿生智能 · Neuroprostheses show potential in restoring lost sensory function and enhancing human capabilities, but the sensations produced by current devices often seem unnatural or distorted. Exact placement of implants and differ…
• Brain-optimized inference improves reconstructions of fMRI brain activity
  2023 · 脑科学 · The release of large datasets and developments in AI have led to dramatic improvements in decoding methods that reconstruct seen images from human brain activity. We evaluate the prospect of further improving recent deco…
• Brain-LLM Alignment Tracks Training Data, Not Typology
  2026 · AI 安全与对齐 · Brain-LLM alignment is well established in English, yet the brain's language network is neuroanatomically universal across languages. Does alignment also generalize cross-linguistically, and what governs the variation? W…
• Task-guided cross-subject latent alignment: a multi-encoder-decoder VAE
  2026 · AI 安全与对齐 · Aligning neural activity across subjects offers the promise of discovering shared computational principles and generalizable decoders. However, traditional alignment methods require shared stimuli across subjects, a cons…
• Proceedings for the Inaugural Meeting of the International Society for Tractography -- IST 2025 Bordeaux
  2026 · 地外矿物 · This collection comprises the abstracts presented during poster, power pitch and oral sessions at the Inaugural Conference of the International Society for Tractography (IST Conference 2025), held in Bordeaux, France, fr…
• NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence
  2026 · 脑科学 · 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 August 2025, we ident…
• Linguistics and Human Brain: A Perspective of Computational Neuroscience
  2026 · 脑科学 · Elucidating the language-brain relationship requires bridging the methodological gap between the abstract theoretical frameworks of linguistics and the empirical neural data of neuroscience. Serving as an interdisciplina…
• Understanding Decision-Making Across the Lifespan Needs Theoretical Neuroscience
  2026 · 脑科学 · 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 computational advances tha…
• Unveiling the Heart-Brain Connection: An Analysis of ECG in Cognitive Performance
  2026 · 脑科学 · Understanding the interaction of neural and cardiac systems during cognitive activity is critical to advancing physiological computing. Although EEG has been the gold standard for assessing mental workload, its limited p…
• Robust probabilistic measurement of structural-functional module consistency in infant brain development
  2026 · 脑科学 · Brain network is commonly divided into modules for analyzing their functionally segregated roles for group-level analysis in neuroimaging studies. Here, we introduce stochastic modules within brain networks for a robust …
• Sex-based Network-Specific Differences in Connectomes: A Krakencoder-Based Analysis
  2026 · 脑科学 · This study examines how deficiencies in one brain connectome modality propagate to the other, using the Krakencoder as a simulation framework. Structural and functional connectomes from 702 healthy participants in the Hu…
• The Genetic and Environmental Architecture of the Human Functional Connectome
  2026 · 脑科学 · 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 limited to resting-st…
• Artificial intelligence in deep brain stimulation for movement disorders: a systematic review and technology readiness assessment
  2026 · 深海科技 · Artificial intelligence (AI) is increasingly explored across deep brain stimulation (DBS) for movement disorders, yet whether current systems are approaching deployment remains unclear. To characterise their scope, valid…
• Mouse vs. AI: A Neuroethological Benchmark for Visual Robustness and Neural Alignment
  2025 · AI 安全与对齐 · Visual robustness under real-world conditions remains a critical bottleneck for modern reinforcement learning agents. In contrast, biological systems such as mice show remarkable resilience to environmental changes, main…
• Sufficient conditions for offline reactivation in recurrent neural networks
  2025 · AI 安全与对齐 · During periods of quiescence, such as sleep, neural activity in many brain circuits resembles that observed during periods of task engagement. However, the precise conditions under which task-optimized networks can auton…
• Neural Encoding and Decoding at Scale
  2025 · AI 驱动科学发现 · Recent work has demonstrated that large-scale, multi-animal models are powerful tools for characterizing the relationship between neural activity and behavior. Current large-scale approaches, however, focus exclusively o…
• Multimodal Recurrent Ensembles for Predicting Brain Responses to Naturalistic Movies (Algonauts 2025)
  2025 · 地外矿物 · Accurately predicting distributed cortical responses to naturalistic stimuli requires models that integrate visual, auditory and semantic information over time. We present a hierarchical multimodal recurrent ensemble tha…
• The ISLab Solution to the Algonauts Challenge 2025: A Multimodal Deep Learning Approach to Brain Response Prediction
  2025 · 地外矿物 · In this work, we present a network-specific approach for predicting brain responses to complex multimodal movies, leveraging the Yeo 7-network parcellation of the Schaefer atlas. Rather than treating the brain as a homog…
• Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
  2025 · 生物计算 · In this study, we explore how the combination of synthetic biology, neuroscience modeling, and neuromorphic electronic systems offers a new approach to creating an artificial system that mimics the natural sense of smell…
• A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
  2025 · 生物计算 · NeuroAI is an emerging field at the intersection of neuroscience and artificial intelligence, where insights from brain function guide the design of intelligent systems. A central area within this field is synthetic biol…
• A Novel Brain-Computer Interface Architecture: The Brain-Muscle-Hand Interface for replicating the motor pathway
  2025 · 仿生智能 · Myoelectric interfaces enable intuitive and natural control by decoding residual muscle activity, providing an effective pathway for motor restoration in individuals with preserved musculature. However, in patients with …
• Multimodal Brain-Computer Interfaces: AI-powered Decoding Methodologies
  2025 · 仿生智能 · Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices. This review highlights the core decoding algorithms that enable multimodal BCIs, including a dissection of the elements…
• Real-Time Brain-Computer Interface Control of Walking Exoskeleton with Bilateral Sensory Feedback
  2025 · 仿生智能 · Invasive brain-computer interface (BCI) technology has demonstrated the possibility of restoring brain-controlled walking in paraplegic spinal cord injury patients. However, current implementations of BCI-controlled walk…
• What Neuroscience Can Teach AI About Learning in Continuously Changing Environments
  2025 · 脑科学 · Modern AI models, such as large language models, are usually trained once on a huge corpus of data, potentially fine-tuned for a specific task, and then deployed with fixed parameters. Their training is costly, slow, and…
• Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model
  2025 · 脑科学 · The development of foundation models for functional magnetic resonance imaging (fMRI) time series holds significant promise for predicting phenotypes related to disease and cognition. Current models, however, are often t…
• A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
  2025 · 脑科学 · The majority of research in both training Artificial Neural Networks (ANNs) and modeling learning in biological brains focuses on synaptic plasticity, where learning equates to changing the strength of existing connectio…
• Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes
  2025 · 脑科学 · Structural connectomes are detailed graphs that map how different brain regions are physically connected, offering critical insight into aging, cognition, and neurodegenerative diseases. However, these connectomes are hi…
• Rethinking scale in network neuroscience: Contributions and opportunities at the nanoscale
  2025 · 脑科学 · Network science has been applied widely to study brain network organization, especially at the meso-scale, where nodes represent brain areas and edges reflect interareal connectivity inferred from imaging or tract-tracin…
• Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience
  2025 · 脑科学 · Autonomous AI is no longer a hard-to-reach concept, it enables the agents to move beyond executing tasks to independently addressing complex problems, adapting to change while handling the uncertainty of the environment.…
• A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
  2025 · 具身智能 · NeuroAI is an emerging field at the intersection of neuroscience and artificial intelligence, where insights from brain function guide the design of intelligent systems. A central area within this field is synthetic biol…
• Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
  2025 · 量子计算 · In this study, we explore how the combination of synthetic biology, neuroscience modeling, and neuromorphic electronic systems offers a new approach to creating an artificial system that mimics the natural sense of smell…
• Synthetic Biology meets Neuromorphic Computing: Towards a bio-inspired Olfactory Perception System
  2025 · 合成生物与生物制造 · In this study, we explore how the combination of synthetic biology, neuroscience modeling, and neuromorphic electronic systems offers a new approach to creating an artificial system that mimics the natural sense of smell…
• On the Parallels Between Evolutionary Theory and the State of AI
  2025 · AI 安全与对齐 · This article critically examines the foundational principles of contemporary AI methods, exploring the limitations that hinder its potential. We draw parallels between the modern AI landscape and the 20th-century Modern …
• Possible Principles for Aligned Structure Learning Agents
  2024 · AI 安全与对齐 · This paper offers a roadmap for the development of scalable aligned artificial intelligence (AI) from first principle descriptions of natural intelligence. In brief, a possible path toward scalable aligned AI rests upon …
• Matching domain experts by training from scratch on domain knowledge
  2024 · AI 安全与对齐 · Recently, large language models (LLMs) have outperformed human experts in predicting the results of neuroscience experiments (Luo et al., 2024). What is the basis for this performance? One possibility is that statistical…
• Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution
  2024 · AI 驱动科学发现 · Neuroscience research has made immense progress over the last decade, but our understanding of the brain remains fragmented and piecemeal: the dream of probing an arbitrary brain region and automatically reading out the …
• The Algonauts Project 2025 Challenge: How the Human Brain Makes Sense of Multimodal Movies
  2024 · 地外矿物 · There is growing symbiosis between artificial and biological intelligence sciences: neural principles inspire new intelligent machines, which are in turn used to advance our theoretical understanding of the brain. To pro…
• NeuroBind: Towards Unified Multimodal Representations for Neural Signals
  2024 · 仿生智能 · Understanding neural activity and information representation is crucial for advancing knowledge of brain function and cognition. Neural activity, measured through techniques like electrophysiology and neuroimaging, refle…
• Hybrid Spiking Neural Networks for Low-Power Intra-Cortical Brain-Machine Interfaces
  2024 · 仿生智能 · Intra-cortical brain-machine interfaces (iBMIs) have the potential to dramatically improve the lives of people with paraplegia by restoring their ability to perform daily activities. However, current iBMIs suffer from sc…
• Clarifying the conceptual dimensions of representation in neuroscience
  2024 · 脑科学 · Despite the centrality of the notion of representation in neuroscience, the field lacks a unified framework for the concepts used to characterize representation, leading to disparate use of both terminology and measures …
• Launching Your VR Neuroscience Laboratory
  2024 · 脑科学 · The proliferation and refinement of affordable virtual reality (VR) technologies and wearable sensors have opened new frontiers in cognitive and behavioral neuroscience. This chapter offers a broad overview of VR for any…
• BrainKnow -- Extracting, Linking, and Synthesizing Neuroscience Knowledge
  2024 · 脑科学 · The exponential growth of neuroscience literature presents a significant challenge for researchers seeking to efficiently access and utilize relevant information. To address this issue, we introduce the Brain Knowledge E…
• Large language models surpass human experts in predicting neuroscience results
  2024 · 脑科学 · Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast s…
• Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments
  2024 · 脑科学 · Function and dysfunctions of neural systems are tied to the temporal evolution of neural states. The current limitations in showing their causal role stem largely from the absence of tools capable of probing the brain's …
• Translating the future: Image-to-image translation for the prediction of future brain metabolism
  2024 · 脑科学 · Alzheimer's disease (AD) is a progressive neurodegenerative disorder leading to cognitive decline. [$^{18}$F]-Fluorodeoxyglucose positron emission tomography ([$^{18}$F]-FDG PET) is used to monitor brain metabolism, aidi…
• Task learning through stimulation-induced plasticity in neural networks
  2024 · 脑科学 · Synaptic plasticity dynamically shapes the connectivity of neural systems and is key to learning processes in the brain. To what extent the mechanisms of plasticity can be exploited to drive a neural network and make it …
• Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks
  2024 · 脑科学 · Neural networks that can capture key principles underlying brain computation offer exciting new opportunities for developing artificial intelligence and brain-like computing algorithms. Such networks remain biologically …
• Selective pruning and neuronal death generate heavy-tail network connectivity
  2024 · 脑科学 · From the proliferative mechanisms generating neurons from progenitor cells to neuron migration and synaptic connection formation, several vicissitudes culminate in the mature brain. Both component loss and gain remain ub…
• Cognitive maps and schizophrenia
  2024 · 脑科学 · Structured internal representations (cognitive maps) shape cognition, from imagining the future and counterfactual past, to transferring knowledge to new settings. Our understanding of how such representations are formed…
• The multiscale self-similarity of the weighted human brain connectome
  2024 · 脑科学 · Anatomical connectivity between different regions in the brain can be mapped to a network representation, the connectome, where the intensities of the links, the weights, influence its structural resilience and the funct…
• Metric structural human connectomes: localization and multifractality of eigenmodes
  2024 · 脑科学 · In this study, we explore the fundamental principles behind the architecture of the human brain's structural connectome, from the perspective of spectral analysis of Laplacian and adjacency matrices. Building on the idea…
• Analyzing Brain Tumor Connectomics using Graphs and Persistent Homology
  2024 · 脑科学 · Recent advances in molecular and genetic research have identified a diverse range of brain tumor sub-types, shedding light on differences in their molecular mechanisms, heterogeneity, and origins. The present study perfo…
• Diverging network architecture of the $\textit{C. elegans}$ connectome and signaling network
  2024 · 脑科学 · The connectome describes the complete set of synaptic contacts through which neurons communicate. While the architecture of the $\textit{C. elegans}$ connectome has been extensively characterized, much less is known abou…
• A Model-Free Method to Quantify Memory Utilization in Neural Point Processes
  2024 · 碳中和与 CCUS · Quantifying the predictive capacity of a neural system, intended as the capability to store information and actively use it for dynamic system evolution, is a key component of neural information processing. Information s…

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