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• Coagulopathy in Critically Ill Patients With Sepsis: Protocol for a Scoping Review.
  Coagulopathy is a common complication in patients with sepsis, ranging from subclinical coagulation activation only seen in laboratory values to disseminated intravascular coagulation (DIC). Over the past 25 years, several scoring systems have been deve…
  pubmed Andersen CHS, Hansen JD, Hvas CL, Møller K 等 2026 Sep 置信度 0.82
• Advancing Therapies for Mycobacterial Diseases: From Small Molecules to Host-Directed Strategies.
  The global burden of multidrug-resistant tuberculosis (MDR-TB) and the rising incidence of nontuberculous mycobacterial (NTM) infections highlight the urgent need for innovative therapeutic strategies. Current treatments are prolonged, toxic, and increasingly …
  pubmed Silva T, Aiello A, Alonzi T, Carvalho MA 等 2026 Aug 4 置信度 0.82
• Müller Glia-Vasculature Interactions in the Developing Retina.
  Coordinated signaling among neurons, glia, and the vasculature is essential for nervous system development. In the developing retina, spontaneous cholinergic retinal waves are the primary source of neural activity during the early maturation of the vasculature…
  pubmed Monshietehadi S, Garcia AJ, Smith BE, Tarchick M 等 2026 Oct 置信度 0.82
• Magnetoencephalography (MEG) detects rectification of abnormal brain hypercorrelations following abstinence from alcohol in chronic alcoholism.
  Here we used magnetoencephalography (MEG) to investigate changes in brain functional organization, and their time course, following alcohol abstinence in chronic alcoholic patients. Eighteen male veterans (10 control and 8 currently alcohol-dependent) particip…
  pubmed Lewis SM, Leuthold AC, Yoon G, Thompson K 等 2026 Aug 4 置信度 0.82
• Ventral Epidural Stimulation Restores Forelimb Function and Reduces Microglial Activation after Subacute Cervical Spinal Cord Injury.
  Neuromodulation has recently garnered attention as a potent approach to improve sensorimotor function following neural injury. After spinal cord injury, electrical stimulation targets sensorimotor circuitry to enhance volitional movement; however, motor neuron…
  pubmed Hogan MK, Frazier AM, Delgado D, Gutierrez AG 等 2026 Aug 4 置信度 0.82
• Interpreting evolving evidence in Alzheimer's disease: implications for dementia clinicians.
  pubmed Koychev I, Rowe JB, Amin J, Arsland D 等 2026 Aug 5 置信度 0.82
• Motor-evoked modules obtained from transcranial magnetic stimulation.
  As a noninvasive neuromodulation technique, transcranial magnetic stimulation (TMS) offers insights into motor system physiology through motor-evoked potentials (MEPs). In the present study, we applied a factorization approach to multimuscle MEPs to characteri…
  pubmed Morishita T, Coscia M, Bacigalupo M, Lassi M 等 2026 Aug 4 置信度 0.82
• Claustrum Involvement in New Onset Refractory Status Epilepticus: A Systematic Review.
  The claustrum sign is a distinctive neuroimaging finding characterized by bilateral T2/FLAIR hyperintensity of the claustrum, one of the most interconnected regions of the human brain. It was first described in new-onset refractory status epilepticus (NORSE) a…
  pubmed Burani M, Muccioli L, Giovannini G, Orlandi N 等 2026 Aug 4 置信度 0.82
• Prenatal Alcohol and/or Tobacco Exposure, White-Matter Microstructure, and Cognition: Analyzing a South African Birth Cohort With Neurite Orientation and Dendrite Dispersion Imaging.
  Prenatal exposure to alcohol (PAE) and/or tobacco (PTE) may impact neurobiological and cognitive development years after such exposures have occurred. While such effects on cortical gray matter and cognition are widely researched, there is less research on the…
  pubmed Kan E, Marshall AT, Jonker D, Butler-Kruger L 等 2026 Aug 置信度 0.82
• Multiplexed encoding of frequency-modulated sweep features in the inferior colliculus.
  Within the central auditory pathway, the inferior colliculus (IC) is a critical integration center for ascending sound information. While IC neurons have well-characterized receptive fields for individual sound features such as sound frequency, intensity, and …
  pubmed Drotos AC, Wajdi SZ, Malina M, Silveira MA 等 2026 Aug 4 置信度 0.82
• Reinterpreting the Frequency Dependence of Cortical Auditory-Evoked Response Amplitudes in Light of Current Understanding of Cortical Tonotopic Organization.
  Tonotopy is a fundamental feature of auditory cortical organization, yet its influence on cortical auditory-evoked responses (AERs) remains unclear. Consequently, key properties of cortical AERs-such as their marked amplitude reduction with increasing stimulus…
  pubmed Rushworth C, Hardy AJ, Sereda M, Gurer BJ 等 2026 Jan-Dec 置信度 0.82
• Difficulty and Deviation. High Task Failure Encourages Alternative Approaches to Learning.
  Task difficulty is an important factor in the acquisition of a novel motor skill. When presented with challenging tasks, participants may control task difficulty by deviating from mandated instructions to allow success within a self-selected bandwidth. To…
  pubmed Bright D, Smith J, Kearney P, Runswick O 2026 Aug 4 置信度 0.82
• Pediatric Gender Medicine: Psychiatry's Duty to Model Respectful Disagreement.
  pubmed McDeavitt K, Kaliebe K 2026 Aug 5 置信度 0.82
• Connecting levels of analysis in the computational era
  Neuroscience and artificial intelligence are closely intertwined, but so are the physics of dynamical system, philosophy and psychology. Each of these fields try in their own way to relate observations at the level of molecules, synapses, neurons or behavior, …
  arxiv Richard Naud, André Longtin 2023-05-10T10:42:23Z 置信度 0.78 q-bio.NC
• Neuroscience needs Network Science
  The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such intricate systems, offering a fram…
  arxiv Dániel L Barabási, Ginestra Bianconi, Ed Bullmore, Mark Burgess 等 2023-05-10T13:53:17Z 置信度 0.78 q-bio.NC
• Sequential Sparsening by Successive Adaptation in Neural Populations
  In the principal cells of the insect mushroom body, the Kenyon cells (KC), olfactory information is represented by a spatially and temporally sparse code. Each odor stimulus will activate only a small portion of neurons and each stimulus leads to only a short …
  arxiv Farzad Farkhooi, Eilif Muller, Martin P. Nawrot 2010-07-14T14:29:22Z 置信度 0.78 physics.bio-phq-bio.NC
• From generative AI to the brain: five takeaways
  The big strides seen in generative AI are not based on somewhat obscure algorithms, but due to clearly defined generative principles. The resulting concrete implementations have proven themselves in large numbers of applications. We suggest that it is imperati…
  arxiv Claudius Gros 2025-11-20T15:00:44Z 置信度 0.78 cs.AIq-bio.NC
• Understanding Decision-Making Across the Lifespan Needs Theoretical Neuroscience
  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 that now shape modern systems neuroscience.…
  arxiv Michael B. Ryan, Letizia Ye, Anne K. Churchland 2026-03-02T23:02:49Z 置信度 0.78 q-bio.NC
• Coupling Functions in Neuroscience
  The interactions play one of the central roles in the brain mediating various processes and functions. They are particularly important for the brain as a complex system that has many different functions from the same structural connectivity. When studying such…
  arxiv Tomislav Stankovski 2020-08-17T20:39:47Z 置信度 0.78 nlin.AOq-bio.NC
• An analysis of the abstracts presented at the annual meetings of the Society for Neuroscience from 2001 to 2006
  We extracted and processed abstract data from the SFN annual meeting abstracts during the period 2001-2006, using techniques and software from natural language processing, database management, and data visualization and analysis. An important first step in the…
  arxiv J. M. Lin, J. W. Bohland, P. Andrews, G. Burns 等 2007-10-12T17:27:21Z 置信度 0.78 physics.data-anq-bio.NC
• Multilevel Monte Carlo for a class of Partially Observed Processes in Neuroscience
  In this paper we consider Bayesian parameter inference associated to a class of partially observed stochastic differential equations (SDE) driven by jump processes. Such type of models can be routinely found in applications, of which we focus upon the case of …
  arxiv Mohamed Maama, Ajay Jasra, Kengo Kamatani 2023-10-10T11:25:34Z 置信度 0.78 q-bio.NCstat.ME
• Brain as a complex system, harnessing systems neuroscience tools & notions for an empirical approach
  Finding general principles underlying brain function has been appealing to scientists. Indeed, in some branches of science like physics and chemistry (and to some degree biology) a general theory often can capture the essence of a wide range of phenomena. Whet…
  arxiv Shervin Safavi 2023-12-20T23:18:10Z 置信度 0.78 q-bio.NC
• What Neuroscience Can Teach AI About Learning in Continuously Changing Environments
  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 gradual, requiring billions of repetiti…
  arxiv Daniel Durstewitz, Bruno Averbeck, Georgia Koppe 2025-07-02T19:30:57Z 置信度 0.78 cs.AIq-bio.NC
• Efficient gPC-based quantification of probabilistic robustness for systems in neuroscience
  Robustness analysis is very important in biology and neuroscience, to unravel behavioural patterns of systems that are conserved despite large parametric uncertainties. To make studies of probabilistic robustness more efficient and scalable when addressing com…
  arxiv Uros Sutulovic, Daniele Proverbio, Rami Katz, Giulia Giordano 2024-06-19T12:19:03Z 置信度 0.78 q-bio.QM
• Generative Models for Network Neuroscience: Prospects and Promise
  Network neuroscience is the emerging discipline concerned with investigating the complex patterns of interconnections found in neural systems, and to identify principles with which to understand them. Within this discipline, one particularly powerful approach …
  arxiv Richard F. Betzel, Danielle S. Bassett 2017-08-26T11:30:35Z 置信度 0.78 q-bio.NC
• Knowledge Graph-Driven Expert-Level Reasoning for Neuroscience
  Knowledge graph (KG) is an abstraction that can be extracted from text corpora and used for in-depth reasoning. Prior work has leveraged KGs to fine-tune language models (LMs), enabling domain-specific superintelligence. In this work, we explore whether KG-dri…
  arxiv Jake Stephen, Niraj K. Jha 2026-05-24T17:23:41Z 置信度 0.78 cs.CLcs.AI
• brainlife.io: A decentralized and open source cloud platform to support neuroscience research
  Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR (Findable…
  arxiv Soichi Hayashi, Bradley A. Caron, Anibal Sólon Heinsfeld, Sophia Vinci-Booher 等 2023-06-03T19:42:31Z 置信度 0.78 cs.DCq-bio.NCq-bio.QM
• Neuromatch Academy: Teaching Computational Neuroscience with global accessibility
  Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or flipped) classrooms and on small group projects. Fourteen languages, active commun…
  arxiv Tara van Viegen, Athena Akrami, Kate Bonnen, Eric DeWitt 等 2020-12-15T17:20:17Z 置信度 0.78 q-bio.OT
• Present and future frameworks of theoretical neuroscience: outcomes of a community discussion
  We organized a workshop on the "Present and Future Frameworks of Theoretical Neuroscience", with the support of the National Science Foundation. The objective was to identify the challenges and strategies that this field will need to tackle in order to incorpo…
  arxiv Horacio G. Rotstein, Fidel Santamaria 2020-04-03T16:38:31Z 置信度 0.78 q-bio.NC
• A primer on information theory, with applications to neuroscience
  Given the constant rise in quantity and quality of data obtained from neural systems on many scales ranging from molecular to systems', information-theoretic analyses became increasingly necessary during the past few decades in the neurosciences. Such analyses…
  arxiv Felix Effenberger 2013-04-08T19:51:38Z 置信度 0.78 cs.ITq-bio.NC
• Towards an integration of deep learning and neuroscience
  Neuroscience has focused on the detailed implementation of computation, studying neural codes, dynamics and circuits. In machine learning, however, artificial neural networks tend to eschew precisely designed codes, dynamics or circuits in favor of brute force…
  arxiv Adam Marblestone, Greg Wayne, Konrad Kording 2016-06-13T05:08:39Z 置信度 0.78 q-bio.NC
• SeekBrain: An Autonomous Multi-Agent System for Accelerating Neuroscience Discovery
  Modern neuroscience relies on integrating multi-scale, multimodal datasets to uncover the neural principles underlying intelligence. However, analytical challenges posed by highly heterogeneous data and fragmented workflows increasingly constrain discoveries. …
  arxiv Jiamin Wu, Peishan Xiang, Jingyang Chen, Yuqing Zhu 等 2026-07-31T12:30:12Z 置信度 0.78 cs.MAcs.AI
• Time, Frequency & Time-Varying Causality Measures in Neuroscience
  This article proposes a systematic methodological review and objective criticism of existing methods enabling the derivation of time-varying Granger-causality statistics in neuroscience. The increasing interest and the huge number of publications related to th…
  arxiv Sezen Cekic, Didier Grandjean, Olivier Renaud 2017-04-11T07:40:07Z 置信度 0.78 stat.AP
• An embedded system for real-time feedback neuroscience experiments
  A complete data acquisition and signal output control system for synchronous stimuli generation, geared towards in vivo neuroscience experiments, was developed using the Terasic DE2i-150 board. All emotions and thoughts are an emergent property of the chemical…
  arxiv Lirio Onofre Baptista de Almeida, Paulo Matias, Rafael Tuma Guariento 2015-04-03T20:05:59Z 置信度 0.78 q-bio.QMcs.OH
• Brighter than the sun: Powerscape visualizations illustrate power needs in neuroscience and psychology
  Participant needs to achieve a given power are frequently underestimated. This is particularly problematic when effect sizes are small, such as is common in neuroscience and psychology. We provide tools to make these demands immediately obvious in the form of …
  arxiv Pascal Wallisch 2015-12-31T20:57:10Z 置信度 0.78 q-bio.QM
• A Goal-Driven Approach to Systems Neuroscience
  Humans and animals exhibit a range of interesting behaviors in dynamic environments, and it is unclear how our brains actively reformat this dense sensory information to enable these behaviors. Experimental neuroscience is undergoing a revolution in its abilit…
  arxiv Aran Nayebi 2023-11-05T16:37:53Z 置信度 0.78 q-bio.NCcs.LG
• Network neuroscience for optimizing brain-computer interfaces
  Human-machine interactions are being increasingly explored to create alternative ways of communication and to improve our daily life. Based on a classification of the user's intention from the user's underlying neural activity, brain-computer interfaces (BCIs)…
  arxiv Fabrizio De Vico Fallani, Danielle S. Bassett 2018-07-15T21:36:10Z 置信度 0.78 q-bio.NC
• AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents
  Memory serves as the pivotal nexus bridging past and future, providing both humans and AI systems with invaluable concepts and experience to navigate complex tasks. Recent research on autonomous agents has increasingly focused on designing efficient memory wor…
  arxiv Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou 等 2025-12-29T10:01:32Z 置信度 0.78 cs.CLcs.AIcs.CV
• Efficient coding with chaotic neural networks: A journey from neuroscience to physics and back
  This essay, derived from a lecture at "The Physics Modeling of Thought" workshop in Berlin in winter 2023, explores the mutually beneficial relationship between theoretical neuroscience and statistical physics through the lens of efficient coding and computati…
  arxiv Jonathan Kadmon 2024-08-04T07:34:35Z 置信度 0.78 q-bio.NCnlin.CD
• Large language models surpass human experts in predicting neuroscience results
  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 scientific literature could potentially i…
  arxiv Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad 等 2024-03-04T15:27:59Z 置信度 0.78 q-bio.NCcs.AI
• Modular Acquisition and Stimulation System for Timestamp-Driven Neuroscience Experiments
  Dedicated systems are fundamental for neuroscience experimental protocols that require timing determinism and synchronous stimuli generation. We developed a data acquisition and stimuli generator system for neuroscience research, optimized for recording timest…
  arxiv Paulo Matias, Rafael Tuma Guariento, Lirio Onofre Baptista de Almeida, Jan Frans Willem Slaets 2015-04-07T19:46:04Z 置信度 0.78 q-bio.QMcs.AR
• Real-Time Machine Learning Strategies for a New Kind of Neuroscience Experiments
  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 internal state in real-time. This gap re…
  arxiv Ayesha Vermani, Matthew Dowling, Hyungju Jeon, Ian Jordan 等 2024-09-02T14:24:04Z 置信度 0.78 q-bio.NC
• The OpenPicoAmp : an open-source planar lipid bilayer amplifier for hands-on learning of neuroscience
  Neuroscience education can be promoted by the availability of low cost and engaging teaching materials. To address this issue, we developed an open-source lipid bilayer amplifier, the OpenPicoAmp, which is appropriate for use in introductory courses in biophys…
  arxiv Vadim Shlyonsky, Freddy Dupuis, David Gall 2014-03-28T16:28:54Z 置信度 0.78 physics.ed-phphysics.bio-phq-bio.NC
• An Integrated e-science Analysis Base for Computation Neuroscience Experiments and Analysis
  Recent developments in data management and imaging technologies have significantly affected diagnostic and extrapolative research in the understanding of neurodegenerative diseases. However, the impact of these new technologies is largely dependent on the spee…
  arxiv Kamran Munir, Saad Liaquat Kiani, Khawar Hasham, Richard McClatchey 等 2014-02-24T09:14:44Z 置信度 0.78 cs.SEcs.CE
• The tardigrade as an emerging model organism for systems neuroscience
  We present the case for developing the tardigrade (Hypsibius exemplaris) into a model organism for systems neuroscience. These microscopic, transparent animals (~300-500 microns) are among the smallest known to possess both limbs (eight) and eyes (two), with a…
  arxiv Ana M. Lyons, Saul Kato 2025-01-11T18:12:11Z 置信度 0.78 q-bio.NC
• Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn
  Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest. This makes the development of tools and strategies to efficiently find these regions of high im…
  arxiv Alper Yegenoglu, Anand Subramoney, Thorsten Hater, Cristian Jimenez-Romero 等 2022-02-28T14:32:14Z 置信度 0.78 cs.NE
• Generalizable Machine Learning in Neuroscience using Graph Neural Networks
  Although a number of studies have explored deep learning in neuroscience, the application of these algorithms to neural systems on a microscopic scale, i.e. parameters relevant to lower scales of organization, remains relatively novel. Motivated by advances in…
  arxiv Paul Y. Wang, Sandalika Sapra, Vivek Kurien George, Gabriel A. Silva 2020-10-16T18:09:46Z 置信度 0.78 cs.LGq-bio.NC
• BluePyOpt: Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience
  At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available experimental constraints is a global nonlinear optimisation problem with a complex fi…
  arxiv Werner Van Geit, Michael Gevaert, Giuseppe Chindemi, Christian Rössert 等 2016-03-01T21:43:14Z 置信度 0.78 q-bio.NC
• How causal perspectives can inform neuroscience data analysis
  Over the past two decades, considerable strides have been made in advancing neuroscientific techniques, yet challenges remain in attributing causality to observed associations. This review addresses a fundamental issue in observational neuroscience studies and…
  arxiv Eric W. Bridgeford, Brian S. Caffo, Maya B. Mathur, Russell A. Poldrack 2025-03-12T22:20:24Z 置信度 0.78 q-bio.OTstat.OT
• "Task-relevant autoencoding" enhances machine learning for human neuroscience
  In human neuroscience, machine learning can help reveal lower-dimensional neural representations relevant to subjects' behavior. However, state-of-the-art models typically require large datasets to train, so are prone to overfitting on human neuroimaging data …
  arxiv Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard 等 2022-08-17T18:44:39Z 置信度 0.78 q-bio.NCcs.LG
• The brain is a computer is a brain: neuroscience's internal debate and the social significance of the Computational Metaphor
  The Computational Metaphor, comparing the brain to the computer and vice versa, is the most prominent metaphor in neuroscience and artificial intelligence (AI). Its appropriateness is highly debated in both fields, particularly with regards to whether it is us…
  arxiv Alexis T. Baria, Keith Cross 2021-07-18T12:13:05Z 置信度 0.78 cs.CYcs.AI
• Appreciating the variety of goals in computational neuroscience
  Within computational neuroscience, informal interactions with modelers often reveal wildly divergent goals. In this opinion piece, we explicitly address the diversity of goals that motivate and ultimately influence modeling efforts. We argue that a wide range …
  arxiv Konrad P. Kording, Gunnar Blohm, Paul Schrater, Kendrick Kay 2020-02-08T18:01:17Z 置信度 0.78 q-bio.NC
• A brain basis of dynamical intelligence for AI and computational neuroscience
  The deep neural nets of modern artificial intelligence (AI) have not achieved defining features of biological intelligence, including abstraction, causal learning, and energy-efficiency. While scaling to larger models has delivered performance improvements for…
  arxiv Joseph D. Monaco, Kanaka Rajan, Grace M. Hwang 2021-05-15T19:49:32Z 置信度 0.78 q-bio.NCcs.AI
• Neurosciences and 6G: Lessons from and Needs of Communicative Brains
  This paper presents the first comprehensive tutorial on a promising research field located at the frontier of two well-established domains: Neurosciences and wireless communications, motivated by the ongoing efforts to define how the sixth generation of mobile…
  arxiv Renan C. Moioli, Pedro H. J. Nardelli, Michael Taynnan Barros, Walid Saad 等 2020-04-04T01:58:54Z 置信度 0.78 eess.SPcs.ETcs.ITq-bio.NC
• Deep learning tools for the measurement of animal behavior in neuroscience
  Recent advances in computer vision have made accurate, fast and robust measurement of animal behavior a reality. In the past years powerful tools specifically designed to aid the measurement of behavior have come to fruition. Here we discuss how capturing the …
  arxiv Mackenzie W. Mathis, Alexander Mathis 2019-09-30T17:50:48Z 置信度 0.78 cs.CVq-bio.NCq-bio.QM
• Application of the hierarchical bootstrap to multi-level data in neuroscience
  A common feature in many neuroscience datasets is the presence of hierarchical data structures, most commonly recording the activity of multiple neurons in multiple animals across multiple trials. Accordingly, the measurements constituting the dataset are not …
  arxiv Varun Saravanan, Gordon J Berman, Samuel J Sober 2020-07-15T16:20:25Z 置信度 0.78 q-bio.NC
• Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond
  The exponential growth of neuroscientific data necessitates platforms that facilitate data management and multidisciplinary collaboration. In this paper, we introduce Pennsieve - an open-source, cloud-based scientific data management platform built to meet the…
  arxiv Zack Goldblum, Zhongchuan Xu, Haoer Shi, Patryk Orzechowski 等 2024-09-16T17:55:58Z 置信度 0.78 cs.CYcs.DBcs.DLcs.ET
• Cycling on the Freeway: The Perilous State of Open Source Neuroscience Software
  Most scientists need software to perform their research (Barker et al., 2020; Carver et al., 2022; Hettrick, 2014; Hettrick et al., 2014; Switters and Osimo, 2019), and neuroscientists are no exception. Whether we work with reaction times, electrophysiological…
  arxiv Britta U. Westner, Daniel R. McCloy, Eric Larson, Alexandre Gramfort 等 2024-03-28T13:11:09Z 置信度 0.78 cs.CYq-bio.OT
• Bifurcation and periodic solutions to neuroscience models with a small parameter
  The existence of periodic solutions is proven for some neuroscience models with a small parameter. Moreover, the stability of such solutions is investigated, as well. The results are based on a theoretical research dealing with the functional differential equa…
  arxiv José Oyarce 2023-09-12T17:01:50Z 置信度 0.78 math.DS
• Explanatory models in neuroscience: Part 2 -- constraint-based intelligibility
  Computational modeling plays an increasingly important role in neuroscience, highlighting the philosophical question of how computational models explain. In the context of neural network models for neuroscience, concerns have been raised about model intelligib…
  arxiv Rosa Cao, Daniel Yamins 2021-04-03T22:14:01Z 置信度 0.78 q-bio.NCcs.NE
• Neuroscience Reviewer Recognition 2022
  crossref 2022-12-10T14:07:22Z 置信度 0.70
• Neuroscience Journal
  crossref 2016-09-08T15:30:39Z 置信度 0.70
• Neuroscience Reviewer Recognition 2021
  crossref 2021-12-17T16:00:50Z 置信度 0.70
• Neuroscience Reviewer Recognition 2023
  crossref 2023-12-05T12:52:16Z 置信度 0.70
• An exciting year for neuroscience, and for Neuroscience Letters
  crossref Stephen G. Waxman 2009-10-09T07:12:05Z 置信度 0.70
• Images in neuroscience: 1, Images in neuroscience: answer
  crossref 2002-07-28T17:52:37Z 置信度 0.70
• Neuroscience
  Infectious diseases take time to show clinical signs. The most common is to present a dysfunction of the target organ, that is, if the infection is in the neural system the most common sign is headache, if the infection is pulmonary the most common symptom is …
  crossref Gilson de Abreu Viza Junior 2022-08-18T06:46:37Z 置信度 0.70
• ISRN Neuroscience
  crossref 2017-12-10T11:53:45Z 置信度 0.70
• Rapid Reports replace Letters to Neuroscience
  crossref 2004-01-17T05:15:06Z 置信度 0.70
• Neuroscience Technologies
  This chapter on neuroscience technologies describes the fundamentals of modern brain scanners that are already an integral part of, or are beginning to gain momentum in, consumer neuroscience. The goal is to provide a guideline to the core physics, mainly elec…
  crossref Sven Braeutigam, Peter Kenning 2022-03-24T02:56:57Z 置信度 0.70
• Paediatric neuroscience care
  Paediatric neurology services care for children aged 0–16 years. Many of these children suffer genetic and complex neurological problems and frequently require life-long support. Hydrocephalus and central nervous system tumours are commonly presenting disorder…
  crossref 2021-02-02T05:34:43Z 置信度 0.70
• Neuroscience critical care
  Neurocritical care manages patients with severe neurological and neurosurgical conditions in critical care. It provides intensive specialist support for patients with life-threatening complications resulting from severe brain damage or illness including respir…
  crossref 2021-02-02T05:30:51Z 置信度 0.70
• Neuroscience Informatics
  crossref Julien Ognard 2021-10-05T22:31:15Z 置信度 0.70
• From Integrative Neuroscience to Multiscale Neuroscience
  Why multiscale neuroscience and not multilevel neuroscience? Scales are a more neutral description than levels and refer to dimensions and boundaries instead of distinct forms of organization. The concept of level can denote a main or privileged level of the e…
  crossref R. R. Poznanski 2022-06-13T12:57:06Z 置信度 0.70
• Autonomic Neuroscience: Basic and Clinical
  crossref 2002-11-11T12:55:43Z 置信度 0.70
• Social Consumer Neuroscience
  This chapter addresses research related to social consumer neuroscience, a subfield of consumer neuroscience that focuses on interdependences between the consumer and other actors (e.g. family members or peers). A typical example for a research issue in this s…
  crossref Sven Braeutigam, Peter Kenning 2022-03-24T02:36:38Z 置信度 0.70
• Neuroscience disease models
  crossref E. Bezard, A. Pisani, O. Berton 2012-05-08T14:56:02Z 置信度 0.70
• African neuroscience and human development strategies
  crossref Wail Benjelloun 2025-08-06T20:13:47Z 置信度 0.70
• Individual Consumer Neuroscience
  This chapter on individual consumer neuroscience discusses decision-making and choices of individual actors (i.e. consumers) whose utility level as well as decision-making does not depend on the behaviour of other actors. A typical example is the buying decisi…
  crossref Sven Braeutigam, Peter Kenning 2022-03-24T02:52:13Z 置信度 0.70
• Peer Community in Neuroscience
  crossref 2022-07-26T04:30:41Z 置信度 0.70
• A new era for translational neuroscience
  crossref Roger Adan 2022-06-06T16:28:02Z 置信度 0.70
• Neuroscience Research presents NSR paper awards
  crossref Hiroyuki Kamiguchi 2021-06-17T01:03:48Z 置信度 0.70
• International Society for Autonomic Neuroscience
  crossref 2005-05-25T08:41:42Z 置信度 0.70
• Advances in Neuroscience
  crossref 2017-05-29T02:21:07Z 置信度 0.70
• Mathematical Neuroscience
  crossref 2013-08-23T15:09:46Z 置信度 0.70
• Technological Advances Enabling Natural Neuroscience
  crossref 2025-04-15T18:57:58Z 置信度 0.70
• Commercial Consumer Neuroscience
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  This chapter on translational consumer neuroscience discusses some emergent and largely independent topics, such as cultural neuroscience, psychiatric conditions, age and consumer behaviour, and organizational neuroscience. These application domains do not nec…
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  Educational neuroscience is a relatively new field. Where is it in relation to other research domains, such as education research, the psychology of learning, and the neuroscience of learning? Document co-citation analysis reveals that these research fields ar…
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• Organizational Neuroscience
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• The origins of the British Neuroscience Association
  I describe the origins of the British Neuroscience Association (BNA) based on new documents which I have discovered. The foundation of the Brain Research Association (BRA) on February 23rd 1968 was influenced by IBRO, notably its two UK Council members, and by…
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• Ethics of Consumer Neuroscience
  This chapter on the ethics of consumer neuroscience presents and discusses a range of relevant ethical principles and guidelines. The chapter outlines the beginning of the discussion on the ethics of neuromarketing, which started more than 15 years ago. The ch…
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• Current bibliography on invertebrate neuroscience
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• 10th anniversary of Neuroscience Research
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• Related Approaches: Neuroethology and Comparative Neuroscience
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• Early history of IBRO: The birth of organized neuroscience
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