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A large scale computational model of the basal ganglia (BG) network is proposed to describes movement disorder including deep brain stimulation (DBS). The model of this complex network considers four areas of the basal ganglia network: the…

神经元与认知 · 定量生物学 2021-03-15 Konstantinos Spiliotis , Jens Starke , Denise Franz , Angelika Richter , Rüdiger Köhling

Deep brain stimulation (DBS) can alleviate the movement disorders like Parkinson's disease (PD). Indeed, it is known that aberrant beta (13-30Hz)oscillations and the loss of dopaminergic neurons in the basal ganglia-thalamus (BGTH) and…

神经元与认知 · 定量生物学 2021-12-07 Hina Shaheen , Roderick Melnik

This paper studies the phenomenon of conduction block in model neurons using high-frequency biphasic stimulation (HFBS). The focus is investigating the triggering of undesired onset action potentials when the HFBS is turned on. The approach…

神经元与认知 · 定量生物学 2025-12-29 Eduardo Cerpa , Nathaly Corrales , Matías Courdurier , Leonel E. Medina , Esteban Paduro

Multiscale modelling presents a multifaceted perspective into understanding the mechanisms of the brain and how neurodegenerative disorders like Parkinson's disease (PD) manifest and evolve over time. In this study, we propose a novel…

神经元与认知 · 定量生物学 2025-09-18 Aaron Herrera , Hina Shaheen

Since the earliest electroencephalography experiments, large scale oscillations have been observed in the mammalian brain. More recently, episodes of oscillation and bursting have been identified not only in the cerebral cortex and…

神经元与认知 · 定量生物学 2025-09-03 Daniel Pouzzner

Our brain is a complex information processing network in which the nervous system receives information from the environment to quickly react to incoming events or learns from experience to sharp our memory. In the nervous system, the brain…

神经元与认知 · 定量生物学 2022-06-20 Thi Kim Thoa Thieu , Roderick Melnik

Neuronal correlates of Parkinson's disease (PD) include a slowing of the electroencephalogram (EEG) and enhanced synchrony at 3-7 and 7-30 Hz in the basal ganglia, thalamus, and cortex. This study describes the dynamics of a physiologically…

神经元与认知 · 定量生物学 2018-01-08 Sacha Jennifer van Albada , Richard T. Gray , Peter M. Drysdale , Peter A. Robinson

Transcranial alternating current stimulation (tACS) is becoming an important method in the field of motor rehabilitation because of its ability to non-invasively influence ongoing brain oscillations at arbitrary frequencies. However,…

神经元与认知 · 定量生物学 2021-04-13 Atalanti A. Mastakouri , Bernhard Schölkopf , Moritz Grosse-Wentrup

Neuronal excitability is known to be affected by transcranial electrical stimulation. However, due to the existence of both excitatory and inhibitory neurons in the cortex, the mechanism of neuronal excitability shift is still not clear.…

神经元与认知 · 定量生物学 2019-08-23 Jiahui Wang , Hao Wang , Xin Yuan Thow , Nitish V. Thakor

Transcranial Electrical Stimulation (TCES) and Deep Brain Stimulation (DBS) are two different applications of electrical current to the brain used in different areas of medicine. Both have a similar frequency dependence of their efficiency,…

神经元与认知 · 定量生物学 2019-07-15 Markus Schütt , Jens Christian Claussen

The subthalamic nucleus (STN) has an important role in the pathophysiology of the basal ganglia in Parkinson's disease. The ability of STN cells to generate bursting rhythms under either transient or sustained hyperpolarization may underlie…

神经元与认知 · 定量生物学 2024-07-02 Choongseok Park , Leonid L. Rubchinsky , Sungwoo Ahn

This paper presents the results of our recent work on studying the effects of deep brain stimulation (DBS) and medication on the dynamics of brain local field potential (LFP) signals used for behavior analysis of patients with Parkinson s…

神经元与认知 · 定量生物学 2018-04-11 Hosein M. Golshan , Adam O. Hebb , Joshua Nedrud , Mohammad H. Mahoor

Whether transcranial direct current stimulation (tDCS) benefits stroke rehabilitation remains unclear. To investigate how tDCS reorganizes brain circuitry, nineteen post-stroke patients underwent rehabilitation sessions with bi-hemispheric…

Models of the cortico-basal ganglia network and volume conductor models of the brain can provide insight into the mechanisms of action of deep brain stimulation (DBS). In this study, the coupling of a network model, under parkinsonian…

神经元与认知 · 定量生物学 2017-05-31 Christian Schmidt , Eleanor Dunn , Madeleine Lowery , Ursula van Rienen

Parkinsonism leads to various electrophysiological changes in the basal ganglia-thalamocortical system (BGTCS), often including elevated discharge rates of the subthalamic nucleus (STN) and the output nuclei, and reduced activity of the…

神经元与认知 · 定量生物学 2018-01-08 Sacha Jennifer van Albada , Peter A. Robinson

Deep brain stimulation (DBS) is an advanced surgical treatment for the symptoms of Parkinson's disease (PD), involving electrical stimulation of neurons within the basal ganglia region of the brain. DBS is traditionally delivered in an…

系统与控制 · 电气工程与系统科学 2025-06-19 Cédric Join , Jakub Orłowski , Antoine Chaillet , Madeleine Lowery , Hugues Mounier , Michel Fliess

Deep Brain Stimulation (DBS) is a well-established neurosurgical treatment aiming at symptom alleviation in a range of neurological and psychiatric diseases. Computational models of DBS are widely used to investigate the effects of…

系统与控制 · 电气工程与系统科学 2025-11-17 Anna Franziska Frigge , Alexander Medvedev

Deep brain stimulation(DBS)has become an effective intervention for advanced Parkinson's disease, but the exact mechanism of DBS is still unclear. In this review, we discuss the history of DBS, the anatomy and internal architecture of the…

神经元与认知 · 定量生物学 2023-03-24 Yongtong Wu , Kejia Hu , Shenquan Liu

The apparent stochasticity of in-vivo neural circuits has long been hypothesized to represent a signature of ongoing stochastic inference in the brain. More recently, a theoretical framework for neural sampling has been proposed, which…

神经元与认知 · 定量生物学 2017-03-14 Mihai A. Petrovici , Ilja Bytschok , Johannes Bill , Johannes Schemmel , Karlheinz Meier

Activation functions are key to effective backpropagation and expressiveness in deep neural networks. This work introduces Tangma, a new activation function that combines the smooth shape of the hyperbolic tangent with two learnable…

神经与进化计算 · 计算机科学 2025-07-16 Shreel Golwala
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