標(biāo)題: Titlebook: Computational Neurology and Psychiatry; Péter érdi,Basabdatta Sen Bhattacharya,Amy L. Coch Book 2017 Springer International Publishing AG [打印本頁(yè)] 作者: 指責(zé) 時(shí)間: 2025-3-21 17:37
書(shū)目名稱Computational Neurology and Psychiatry影響因子(影響力)
書(shū)目名稱Computational Neurology and Psychiatry影響因子(影響力)學(xué)科排名
書(shū)目名稱Computational Neurology and Psychiatry網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Computational Neurology and Psychiatry網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Computational Neurology and Psychiatry被引頻次
書(shū)目名稱Computational Neurology and Psychiatry被引頻次學(xué)科排名
書(shū)目名稱Computational Neurology and Psychiatry年度引用
書(shū)目名稱Computational Neurology and Psychiatry年度引用學(xué)科排名
書(shū)目名稱Computational Neurology and Psychiatry讀者反饋
書(shū)目名稱Computational Neurology and Psychiatry讀者反饋學(xué)科排名
作者: 偶然 時(shí)間: 2025-3-21 23:18
Outgrowing Neurological Diseases: Microcircuits, Conduction Delay and Childhood Absence Epilepsy,rtunities to identify the mechanisms for dynamic changes in the nervous system. Many of these diseases are channelopathies. The computational challenge is to understand how a constantly present molecular defect in an ion channel can give rise to paroxysmal changes in neurodynamics. The most common o作者: 暗指 時(shí)間: 2025-3-22 02:36 作者: 要塞 時(shí)間: 2025-3-22 06:32
Time Series and Interactions: Data Processing in Epilepsy Research, of neural data has opened a new era of brain research, where new data analysis methods are needed to take full advantage of the available data. Seizure zones, for example, were traditionally localized manually, using the extremely good pattern matching or mismatch recognition skills of the human br作者: Bph773 時(shí)間: 2025-3-22 11:39 作者: 極大痛苦 時(shí)間: 2025-3-22 14:20
Oscillatory Neural Models of the Basal Ganglia for Action Selection in Healthy and Parkinsonian Casost common pathology: Parkinson’s disease (PD). The chapter begins with a review of the basal ganglia and PD, which briefly describes the anatomical structure and connectivity as well as typical dynamics of neuronal activity which is mostly oscillatory. Also we provide a short review of computationa作者: 極大痛苦 時(shí)間: 2025-3-22 18:35 作者: Extemporize 時(shí)間: 2025-3-23 00:13
Attachment Modelling: From Observations to Scenarios to Designs,ulation of Attachment Theory. It does this by reconceptualising it as a cognitive architecture that can operate within multi-agent simulations. This is relevant to computational psychiatry because attachment phenomena are broad in scope and range from healthy everyday interactions to psychopathology作者: 披肩 時(shí)間: 2025-3-23 02:41 作者: dura-mater 時(shí)間: 2025-3-23 06:12 作者: 共同確定為確 時(shí)間: 2025-3-23 09:44 作者: 截?cái)?nbsp; 時(shí)間: 2025-3-23 16:08
A Computational Model of Neural Synchronization in Striatum,-based action selection, has drawn recent attention. As more is discovered about the role of basal ganglia circuits in reward based learning for decision-making, it is increasingly recognized that deficits of this circuit give rise to psychiatric disorders besides neurodegenerative diseases. Striatu作者: 貪婪性 時(shí)間: 2025-3-23 20:47
A Neural Mass Computational Framework to Study Synaptic Mechanisms Underlying Alpha and Theta Rhythles in faster progress in this field has been the current state-of-the-art computational platforms and frameworks that struggle to simulate, in terms of time and memory, the complex brain structures and functions. Thus, modelling of neuronal population that are packed in dense spatial clusters and s作者: 護(hù)身符 時(shí)間: 2025-3-23 23:18
The Role of Simulations in Neuropharmacology, and dynamics. They successfully deepened our knowledge on systems ranging from biomolecular to neuronal network scale. In spite of these successes, Modeling and Simulation still represent a marginal contribution to the field of neuropharmacology. What may be the reasons behind this? These pages suc作者: Collar 時(shí)間: 2025-3-24 02:22
https://doi.org/10.1007/978-3-031-55552-7hen only time courses of mood are available. For each model we consider, time courses are evaluated through data transformations and statistical techniques, including estimating survival functions and spectral density. We then provide guidelines on how to decide whether a certain modeling assumption, e.g. periodicity, is appropriate.作者: Latency 時(shí)間: 2025-3-24 09:16 作者: xanthelasma 時(shí)間: 2025-3-24 14:35 作者: infatuation 時(shí)間: 2025-3-24 16:33
Miscellaneous Applications of Superhalogens, address this inverse problem. Using Bayesian model inversion and model comparison, DCM allows evaluation of different hypotheses regarding pathomechanisms leading to dynamic brain dysfunction in NMDA receptor encephalitis.作者: 不能和解 時(shí)間: 2025-3-24 22:33 作者: Infantry 時(shí)間: 2025-3-25 01:39
https://doi.org/10.1007/978-3-642-73205-8basal ganglia in the context of action selection. Through computational simulation and mathematical analysis of these models we demonstrate that a regime of partial activity synchronization can be considered as a potential mechanism for the action selection.作者: 發(fā)電機(jī) 時(shí)間: 2025-3-25 04:58 作者: bronchiole 時(shí)間: 2025-3-25 09:58 作者: Recessive 時(shí)間: 2025-3-25 12:28 作者: cipher 時(shí)間: 2025-3-25 17:39 作者: 結(jié)果 時(shí)間: 2025-3-25 23:23 作者: 舊石器 時(shí)間: 2025-3-26 01:20 作者: 中和 時(shí)間: 2025-3-26 06:00
Gianguido Dall’Agata,Marco Zagermannrtunities to identify the mechanisms for dynamic changes in the nervous system. Many of these diseases are channelopathies. The computational challenge is to understand how a constantly present molecular defect in an ion channel can give rise to paroxysmal changes in neurodynamics. The most common o作者: COLON 時(shí)間: 2025-3-26 08:53 作者: arrhythmic 時(shí)間: 2025-3-26 13:59
Gianguido Dall’Agata,Marco Zagermann of neural data has opened a new era of brain research, where new data analysis methods are needed to take full advantage of the available data. Seizure zones, for example, were traditionally localized manually, using the extremely good pattern matching or mismatch recognition skills of the human br作者: synovium 時(shí)間: 2025-3-26 20:21
Miscellaneous Applications of Superhalogens,cal mechanisms from EEG recordings is an ill-posed, inverse problem. Here we illustrate the use of neural mass model based dynamic causal modelling to address this inverse problem. Using Bayesian model inversion and model comparison, DCM allows evaluation of different hypotheses regarding pathomecha作者: sulcus 時(shí)間: 2025-3-26 21:08
https://doi.org/10.1007/978-3-642-73205-8ost common pathology: Parkinson’s disease (PD). The chapter begins with a review of the basal ganglia and PD, which briefly describes the anatomical structure and connectivity as well as typical dynamics of neuronal activity which is mostly oscillatory. Also we provide a short review of computationa作者: Hemiplegia 時(shí)間: 2025-3-27 04:21
https://doi.org/10.1007/978-3-642-73205-8his involves understanding volume transmission by which neurons in a brain nucleus project to distant nuclei and change the local biochemistry there. Examples include the serotonergic projection from the dorsal raphe nucleus to the striatum and the dopaminergic projection from the substantial nigra 作者: Obstreperous 時(shí)間: 2025-3-27 07:24
https://doi.org/10.1007/978-3-031-55552-7ulation of Attachment Theory. It does this by reconceptualising it as a cognitive architecture that can operate within multi-agent simulations. This is relevant to computational psychiatry because attachment phenomena are broad in scope and range from healthy everyday interactions to psychopathology作者: aspect 時(shí)間: 2025-3-27 13:12 作者: 小樣他閑聊 時(shí)間: 2025-3-27 16:41
https://doi.org/10.1007/978-3-031-55552-7e the pathological fluctuation in mood that is characteristic of this disorder. These models are surprisingly diverse in their dynamical principles, e.g. whether mood is periodic or whether mania and depression are stable points when ignoring external influences. This chapters presents a selective s作者: cocoon 時(shí)間: 2025-3-27 17:45 作者: Platelet 時(shí)間: 2025-3-28 01:28 作者: ASTER 時(shí)間: 2025-3-28 05:57 作者: Ancestor 時(shí)間: 2025-3-28 08:41 作者: 畏縮 時(shí)間: 2025-3-28 11:37
Péter érdi,Basabdatta Sen Bhattacharya,Amy L. CochReports on computational studies of brain and mind disease.Describes computational models and their use in practice.Includes background information on the biology of the diseases.With take-home messag作者: hemophilia 時(shí)間: 2025-3-28 15:40 作者: 察覺(jué) 時(shí)間: 2025-3-28 19:48
https://doi.org/10.1007/978-3-319-49959-8Neurocomputational Models; Brain Decision-Making; Models of Mood; Modeling Neural Circuits; Brain Connec作者: Insul島 時(shí)間: 2025-3-28 23:40
978-3-319-84284-4Springer International Publishing AG 2017作者: arterioles 時(shí)間: 2025-3-29 05:36
Computational Neurology and Psychiatry978-3-319-49959-8Series ISSN 2193-9349 Series E-ISSN 2193-9357 作者: escalate 時(shí)間: 2025-3-29 09:52
Introduction,reader is introduced to neuroscience and the strategic importance of research on the brain in the present day and age. A brief historical perspective on the underlying mathematical models along with an overview of advancement in the field of computational neurology and psychiatry are discussed. The 作者: anaphylaxis 時(shí)間: 2025-3-29 12:42 作者: preservative 時(shí)間: 2025-3-29 16:57
,Extracellular Potassium and Focal Seizures—Insight from In Silico Study,work behaviour. In particular, we show that in the model, strong discharge of inhibitory interneurons may result in long lasting accumulation of extracellular K., which sustains depolarization of principal cells and causes their pathological discharges. This effect is not present in a reduced model 作者: STALE 時(shí)間: 2025-3-29 21:21
Time Series and Interactions: Data Processing in Epilepsy Research,methods for analyzing continuous signals, methods that include time-frequency analysis and entropy calculations. We finish this chapter with methods for determining causal interactions among signals and how these latter methods can be used to locate the epileptic foci.作者: Interregnum 時(shí)間: 2025-3-30 02:54
Mathematical Models of Neuromodulation and Implications for Neurology and Psychiatry,enetic polymorphisms and we explain why the brain serotonin concentration depends on diet but the dopamine concentration does not. We discuss the traditional hypotheses about the mechanism of action of selective sserotonin reuptake inhibitors (SSRIs), and introduce a new hypothesis about the mechani作者: 紅潤(rùn) 時(shí)間: 2025-3-30 06:04 作者: 抗原 時(shí)間: 2025-3-30 11:20 作者: 興奮過(guò)度 時(shí)間: 2025-3-30 13:25
Computational Neuroscience of Timing, Plasticity and Function in Cerebellum Microcircuits,ls for extracellular activity and local field population response. The roles of inhibition, induced plasticity and their implications in information transmission were evaluated. Modulatory roles of Golgi inhibition and pattern abstraction via optimal storage were estimated. An abstraction of the gra作者: 共和國(guó) 時(shí)間: 2025-3-30 19:12 作者: NAV 時(shí)間: 2025-3-30 22:23
The Role of Simulations in Neuropharmacology,lity levels using computationally efficient input-output modeling. Finally, we deliver arguments in support of generalizing Modeling and Simulation in neuropharmacology to make it a cornerstone of the drug discovery and development process.作者: THROB 時(shí)間: 2025-3-31 01:06 作者: 空氣傳播 時(shí)間: 2025-3-31 08:55 作者: Migratory 時(shí)間: 2025-3-31 11:42
Gianguido Dall’Agata,Marco Zagermannl of these microcircuits can generate multistability provided that . is large enough. The term “multistability” means that there can be the co-existence of two or more attractors. Attention is drawn to the transient dynamics which can be associated with transitions between attractors, such as delay-作者: 消極詞匯 時(shí)間: 2025-3-31 14:44
