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computational neuroscience

GeneTech 知识引擎共收录 176 篇相关科研实体，横跨 13 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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代表性文献（按质量分排序，前 60 条）

• Data from: Preparatory encoding of intended movement in human motor cortex and implications for brain-computer interfaces
  2026 · 仿生智能 · Over the course of a voluntary movement, motor cortical activity exhibits a transition from preparation to execution, with markedly different activity across these phases. Preparatory activity in particular might be used…
• Linguistics and human brain: a perspective of computational neuroscience.
  2026 · 脑科学 · Elucidating the language-brain relationship requires bridging the methodological gap between linguistics' abstract theoretical frameworks and neuroscience's empirical neural data. As an interdisciplinary cornerstone, com…
• New directions for complex systems in contemporary neuroscience: a morphodynamic and emergent function approach.
  2026 · 脑科学 · We propose that current Neuroscience approaches can benefit from further integrating morphodynamics across different scales of brain organization and neural network emergent functions in complex systems. While emergence …
• Manipulating temporal regularity and speed to probe respiration–alpha–behavioral interactions in somatosensory perception and confidence (respirationAdj1)
  2026 · 机器人零部件 · Respiration is a vital physiological process, crucial for brain function and survival of the organism. It drives gas exchange, maintaining pH homeostasis – a fundamental requirement for a stable internal environment. Bey…
• Education, Neuroscience, and Technology: A Review of Applied Models
  2025 · 脑科学 · Advances in neuroscience have improved the understanding of cognitive, emotional, and social processes involved in learning. Simultaneously, technologies such as artificial intelligence, augmented reality, and gamificati…
• Spatial Transcriptomics: Biotechnologies, Computational Tools, and Neuroscience Applications
  2025 · 脑科学 · Spatial transcriptomics (ST) represents a revolutionary approach in molecular biology, providing unprecedented insights into the spatial organization of gene expression within tissues. This review aims to elucidate advan…
• Rebuilding a DSS with feedback from behavioral and neuroscience studies
  2025 · 脑科学 · Abstract As the complexity of decisions and development technologies increase, decision support systems (DSSs) emerge to support decision‐making and improve the system's interaction with decision‐makers (DMs). Hence, thi…
• Pose AI prediction of neurological status in the Neuroscience Intensive Care Unit
  2025 · 脑科学 · ABSTRACT BACKGROUND The neurological exam is pivotal in assessing patients with neurological conditions but has severe limitations: it can vary between examiners, it may not discern subtle or subacute changes, and becaus…
• VARX Granger analysis: Models for neuroscience, physiology, sociology and econometrics
  2025 · 脑科学 · Complex systems, such as in brains, markets, and societies, exhibit internal dynamics influenced by external factors. Disentangling delayed external effects from internal dynamics within these systems is often difficult.…
• Building on models—a perspective for computational neuroscience
  2025 · 脑科学 · Neural circuit models are essential for integrating observations of the nervous system into a consistent whole. Public sharing of well-documented codes for such models facilitates further development. Nevertheless, scien…
• Editorial: Brain-inspired computing: from neuroscience to neuromorphic electronics for new forms of artificial intelligence
  2025 · 脑科学 · The increasing diffusion of AI applications into daily life led to a significant rise in demand for advanced machine learning systems, such as artificial neural networks, which now outperform humans in many tasks. The ra…
• Computational Neuroscience in Higher Education: A Systematic Review on the Problems Addressed, Methods Used and Implications
  2025 · 脑科学 · Computational neuroscience (CNS) has enabled significant advances in the understanding of cognitive processes through mathematical models and computational simulations, providing a more precise understanding of brain act…
• Memristive Hodgkin–Huxley Neurons with Diverse Firing Patterns for High‐Order Neuromorphic Computing
  2024 · 生物计算 · The rich firing behaviors of biological neurons enable the nervous system to execute complex computations, emulating which in hardware is advantageous for constructing advanced intelligent machines. Hodgkin–Huxley (H–H) …
• Data from: A high-performance brain-computer interface for finger decoding and quadcopter game control in an individual with paralysis
  2024 · 仿生智能 · People with paralysis express unmet needs for peer support, leisure activities, and sporting activities. Many within the general population rely on social media and massively multiplayer video games to address these need…
• Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons
  2024 · 仿生智能 · Understanding the brain requires studying its multiscale interactions from molecules to networks. The increasing availability of large-scale datasets detailing brain circuit composition, connectivity, and activity is tra…
• Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons
  2024 · 脑科学 · Understanding the brain requires studying its multiscale interactions from molecules to networks. The increasing availability of large-scale datasets detailing brain circuit composition, connectivity, and activity is tra…
• Cognitive Computational Neuroscience of Language: Using Computational Models to Investigate Language Processing in the Brain
  2024 · 脑科学 · From the inception of large-scale deep learning models to the development of cognitively inspired artificial neural networks (ANNs), computational modeling has ushered in a new era of exploration into language processing…
• Automating literature screening and curation with applications to computational neuroscience
  2024 · 脑科学 · OBJECTIVE: ModelDB (https://modeldb.science) is a discovery platform for computational neuroscience, containing over 1850 published model codes with standardized metadata. These codes were mainly supplied from unsolicite…
• Considering neuroscience core concepts when designing a new interdisciplinary undergraduate neuroscience major
  2024 · 脑科学 · In response to the rapid growth of undergraduate neuroscience programs across the United States over the last two decades (Rochon et al., 2019), educators have worked tirelessly to produce recommendations for what consti…
• Data for: Brain control of bimanual movement enabled by recurrent neural networks
  2024 · 类脑计算 · Brain-computer interfaces have so far focused largely on enabling the control of a single effector, for example a single computer cursor or robotic arm. Restoring multi-effector motion could unlock greater functionality …
• NEUROROBOTICS: ARTIFICIAL INTELLIGENCE IN NEUROSCIENCE
  2023 · 仿生智能 · Neurorobotics is the branch of neuroscience where robotics aligns with neuroscience. It is an interdisciplinary science which has enormous opportunity for exploration. Basically, neurorobotics involves the research in ro…
• From Brain Models to Robotic Embodied Cognition: How Does Biological Plausibility Inform Neuromorphic Systems?
  2023 · 仿生智能 · We examine the challenging "marriage" between computational efficiency and biological plausibility-A crucial node in the domain of spiking neural networks at the intersection of neuroscience, artificial intelligence, and…
• An Overview of Open Source Deep Learning-Based Libraries for Neuroscience
  2023 · 脑科学 · In recent years, deep learning has revolutionized machine learning and its applications, producing results comparable to human experts in several domains, including neuroscience. Each year, hundreds of scientific publica…
• Computational Language Modeling and the Promise of In Silico Experimentation
  2023 · 脑科学 · Language neuroscience currently relies on two major experimental paradigms: controlled experiments using carefully hand-designed stimuli, and natural stimulus experiments. These approaches have complementary advantages w…
• Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders—A Scoping Review
  2023 · 脑科学 · Artificial intelligence (AI) is a field of computer science that deals with the simulation of human intelligence using machines so that such machines gain problem-solving and decision-making capabilities similar to that …
• Exploring Plasticity Rules in the Biologically Realistic Simulation of Neuronal Cultures
  2023 · 数字孪生 · This is a Master thesis for the MS Neuroengineering program at TU Munich. Abstract: Neuronal cell cultures have served as a pivotal platform for neuroscience experiments sincethe early 20th century. However, despite thei…
• Gheuens Causal Field Information Theory of Interaction Geometry
  2026 · AI 安全与对齐 · Notification: AI tools were used to help with the dyslexia and dyscalcula. The theoretical architecture, structural integration, and conceptual framework are the author’s original work. Accessibility Statement: For the a…
• Maya-Vaidya P9: Viparyaya The Sign of the GABAergic Neuron–Glioma Synapse Is Under-Determined by Existing Data: A Spiking-Network Map of the Growth/Suppression Boundary
  2026 · AI 驱动科学发现 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Vaidya P9: Viparyaya The Sign of the GABAergic Neuron–Glioma Synapse Is Under-Determined by Existing Data: A Spiking-Network Map of the Growth/Suppression Boundary
  2026 · AI 驱动科学发现 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Topological Friction in Biological Connectomes: S(e)=3 as the Structural Signature of In-Memory Computing
  2026 · 生物计算 · Neuromorphic computing seeks to escape the von Neumann bottleneck by co-locating memory and computation, as biological neural networks appear to do. This paper investigates the topological properties of biological connec…
• Topological Friction in Biological Connectomes: S(e)=3 as the Structural Signature of In-Memory Computing
  2026 · 生物计算 · Neuromorphic computing seeks to escape the von Neumann bottleneck by co-locating memory and computation, as biological neural networks appear to do. This paper investigates the topological properties of biological connec…
• Maya-Morphe P3: Axon — Differentiable Bioelectric Edge Formation via Voltage-Guided Axonal Pathfinding in Morphogenetic Neural Networks
  2026 · 生物计算 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Morphe P3: Axon — Differentiable Bioelectric Edge Formation via Voltage-Guided Axonal Pathfinding in Morphogenetic Neural Networks
  2026 · 生物计算 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Morphe P2: Spanda — Adaptive Bioelectric Topology Learning via Gradient-Guided Voltage Thresholds and Dynamic Edge Formation
  2026 · 生物计算 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Morphe P2: Spanda — Adaptive Bioelectric Topology Learning via Gradient-Guided Voltage Thresholds and Dynamic Edge Formation
  2026 · 生物计算 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Morphe: Bioelectric Gradient Fields as Computational Topology Primitives for Self-Organising Neural Architectures
  2026 · 生物计算 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Morphe: Bioelectric Gradient Fields as Computational Topology Primitives for Self-Organising Neural Architectures
  2026 · 生物计算 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Modern Machine Learning and Artificial Intelligence Applications in Neuroimaging for Classification and Reconstruction of Human Cognitive and Phenomenological States: A Scoping Review
  2026 · 医疗人工智能 · This scoping review maps the current state of deep learning and artificial intelligence applications in non-invasive neuroimaging (fMRI, EEG, MEG, fNIRS, PET) for the classification and reconstruction of human cognitive …
• Diagnosing Motor-Imagery BCI Failure: A Three-Step Diagnostic Framework
  2026 · 仿生智能 · Version 3.1.0. This version adds the four figures. The v3.0.0 PDF carried the captions but not the artwork, because the manuscript is prepared with figures supplied as separate files, which is what the journal requires a…
• Diagnosing Motor-Imagery BCI Failure: A Three-Step Diagnostic Framework
  2026 · 仿生智能 · Version 3.0.0. This version corresponds to the manuscript submitted to the Journal of Neuroscience Methods on 2 August 2026. It supersedes v2.0.0, which described a two-step framework evaluated on a single cohort. The fr…
• Dataset Fragmentation, Cognitive Variability, and Reproducibility Challenges in EEG-Based Brain–Computer Interfaces: A PRISMA-Based Systematic Mapping Review
  2026 · 仿生智能 · Retrospective registration of a completed PRISMA-based systematic mapping review examining whether heterogeneous EEG-based brain–computer interface (BCI) datasets can support reproducible and scalable analysis across sou…
• Environmental Noise Effects on Consumer-Grade BCI Signal Quality
  2026 · 仿生智能 · This registration contains the study's pre-registration: it was created on 28 May 2026, prior to the start of data collection (recording began 3rd June 2026), fixing the research questions, conditions, primary and second…
• Maya-Vaidya P9: Viparyaya The Sign of the GABAergic Neuron–Glioma Synapse Is Under-Determined by Existing Data: A Spiking-Network Map of the Growth/Suppression Boundary
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Vaidya P9: Viparyaya The Sign of the GABAergic Neuron–Glioma Synapse Is Under-Determined by Existing Data: A Spiking-Network Map of the Growth/Suppression Boundary
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Vaidya P8: Srava A Dual-Channel Spiking Model of Synaptic and Paracrine Neuron–Glioma Coupling, and the Activity-Scaled Residual Under AMPA Blockade
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Vaidya P8: Srava A Dual-Channel Spiking Model of Synaptic and Paracrine Neuron–Glioma Coupling, and the Activity-Scaled Residual Under AMPA Blockade
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Stability Geometry of Coherent Modes: Descriptor-Space Boundaries in Viscous Curvature and Neural Coordination Dynamics
  2026 · 脑科学 · Coherent modes in complex systems often persist within restricted regions of state space be-fore losing stability through damping, diffusion, or boundary-mediated transitions. We developa descriptor-based framework for c…
• Stability Geometry of Coherent Modes: Descriptor-Space Boundaries in Viscous Curvature and Neural Coordination Dynamics
  2026 · 脑科学 · Coherent modes in complex systems often persist within restricted regions of state space be-fore losing stability through damping, diffusion, or boundary-mediated transitions. We developa descriptor-based framework for c…
• Incoherent Failure of the Q2→Q4 Cortical Cascade: A Field-Theoretic Mechanistic Hypothesis for Shaw's ADHD Remission Paradox
  2026 · 脑科学 · v20: Multisite rs-fMRI analysis (ADHD-200, n=346, 4 sites), probabilistic tail analysis (13% left-tail), quartile decomposition (Q1:13%/Q2-Q4:29% each), Figures 4-5 embedded, ethical framework §6.4 (WIN-WIN, French preca…
• Incoherent Failure of the Q2→Q4 Cortical Cascade: A Field-Theoretic Mechanistic Hypothesis for Shaw's ADHD Remission Paradox
  2026 · 脑科学 · v20: Multisite rs-fMRI analysis (ADHD-200, n=346, 4 sites), probabilistic tail analysis (13% left-tail), quartile decomposition (Q1:13%/Q2-Q4:29% each), Figures 4-5 embedded, ethical framework §6.4 (WIN-WIN, French preca…
• angellareo/workshop-neun: Introduction to Computational Neuroscience with Neun – Workshop Materials (Ecuador - Dec 2025)
  2026 · 脑科学 · This repository contains the complete materials for the workshop Introduction to Computational Neuroscience with Neun, presented at Universidad Politécnica Salesiana (Quito/Cuenca, Ecuador, December 2025). The workshop p…
• angellareo/workshop-neun: Introduction to Computational Neuroscience with Neun – Workshop Materials (Ecuador - Dec 2025)
  2026 · 脑科学 · This repository contains the complete materials for the workshop Introduction to Computational Neuroscience with Neun, presented at Universidad Politécnica Salesiana (Quito/Cuenca, Ecuador, December 2025). The workshop p…
• NeuralNetworkEmbedding: Code for neural network embedding of functional microconnectome
  2026 · 脑科学 · This release archives the code and supporting repository structure for reproducing the analyses associated with: Shirakami, A., Hase, T., Yamaguchi, Y., & Shimono, M. (2025). Neural network embedding of functional microc…
• NeuralNetworkEmbedding: Code for neural network embedding of functional microconnectome
  2026 · 脑科学 · This release archives the code and supporting repository structure for reproducing the analyses associated with: Shirakami, A., Hase, T., Yamaguchi, Y., & Shimono, M. (2025). Neural network embedding of functional microc…
• Maya-Vaidya P9: Viparyaya The Sign of the GABAergic Neuron–Glioma Synapse Is Under-Determined by Existing Data: A Spiking-Network Map of the Growth/Suppression Boundary
  2026 · 脑科学 · Maya-Vaidya P9: Viparyaya (विपर्यय; inversion — mistaking a thing for its opposite) asks a question the published literature cannot currently answer: does a GABAergic neuron→glioma synapse feed a tumour or brake it? GABA…
• Maya-Vaidya P7: Arbuda An In-Silico Spiking-Network Model of Neuron–Glioma Coupling and Peritumoral Disruption
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Vaidya P7: Arbuda An In-Silico Spiking-Network Model of Neuron–Glioma Coupling and Peritumoral Disruption
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Vaidya P6: From Synapse to Sentence — Modelling Formal Thought Disorder via NMDAR-Perturbed Antahkarana Ring-Attractor Spiking Neural Network
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Vaidya P6: From Synapse to Sentence — Modelling Formal Thought Disorder via NMDAR-Perturbed Antahkarana Ring-Attractor Spiking Neural Network
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…
• Maya-Chitta: Endocannabinoid-Inspired Retrograde Gradient Gating for Class-Incremental Learning in Affective Spiking Neural Networks
  2026 · 脑科学 · Version 2 (2026-08-04). Revised to the NLL Universal Paper Format v6. The original text is retained in full; nothing has been deleted. Corrections appear as marked blocks placed at the section that carries the claim, and…

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