Replication Data for: Computational Modelling of Cerebellar Magnetic Stimulation: the Effect of Washout
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The data are related to the following article:Antonietti A., Casellato C., D'Angelo E. and Pedrocchi A. (2019) Computational Modelling of Cerebellar Magnetic Stimulation: the Effect of Washout Abstract Nowadays, clinicians have multiple tools that they can use to stimulate the brain, by mean of electric or magnetic fields that can interfere with the bio-electrical behaviour of neurons. However, it is not still clear what are the neural mechanisms that are involved and how the external stimulation changes the neural response at network-level. In this paper, we have exploited the simulations carried out using a spiking neural network model inspired to the cerebellar system to shed light on the effects of cerebellar Transcranial Magnetic Stimulation (TMS). Namely, two computational studies have been mer' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Artificial Spiking Neural Network","Cerebellum","Computational Neuroscience","EBCC","Eye Blink Classical Conditioning","TMS","Transcranial Magnetic Stimulation"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data are related to the following article:Antonietti A., Casellato C., D'Angelo E. and Pedrocchi A. (2019) Computational Modelling of Cerebellar Magnetic Stimulation: the Effect of Washout Abstract Nowadays, clinicians have multiple tools that they can use to stimulate the brain, by mean of electric or magnetic fields that can interfere with the bio-electrical behaviour of neurons. However, it is not still clear what are the neural mechanisms that are involved and how the external stimulation changes the neural response at network-level. In this paper, we have exploited the simulations carried out using a spiking neural network model inspired to the cerebellar system to shed light on the effects of cerebellar Transcranial Magnetic Stimulation (TMS). Namely, two computational studies have been mer' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data are related to the following article:Antonietti A., Casellato C., D'Angelo E. and Pedrocchi A. (2019) Computational Modelling of Cerebellar Magnetic Stimulation: the Effect of Washout Abstract Nowadays, clinicians have multiple tools that they can use to stimulate the brain, by mean of electric or magnetic fields that can interfere with the bio-electrical behaviour of neurons. However, it is not still clear what are the neural mechanisms that are involved and how the external stimulation changes the neural response at network-level. In this paper, we have exploited the simulations carried out using a spiking neural network model inspired to the cerebellar system to shed light on the effects of cerebellar Transcranial Magnetic Stimulation (TMS). Namely, two computational studies have been mer
Artificial Spiking Neural Network; Cerebellum; Computational Neuroscience; EBCC; Eye Blink Classical Conditioning; TMS; Transcranial Magnetic Stimulation