The Emergence of Community Models in Computational Neuroscience: The 40-Year History of the Cerebellar Purkinje Cell

Bower, James M.

doi:10.1007/978-1-4614-1424-7_5

Cited by 4 publications

(2 citation statements)

References 153 publications

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“…[ 40 , 43 , 65 - 69 ]. Through the research community’s co-operative and iterative building, testing and exploring of models – feeding into, and responding to, experimental investigation - we can assemble a formal, quantitative underpinning to neuroscience [ 70 ]. Models are especially useful for making sense of disparate data and explaining why different behaviour is observed in different Purkinje cells and/or in different experiments.…”

Section: Discussionmentioning

confidence: 99%

Simulation of alcohol action upon a detailed Purkinje neuron model and a simpler surrogate model that runs >400 times faster

Forrest

2015

BMC Neurosci

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BackgroundAn approach to investigate brain function/dysfunction is to simulate neuron circuits on a computer. A problem, however, is that detailed neuron descriptions are computationally expensive and this handicaps the pursuit of realistic network investigations, where many neurons need to be simulated.ResultsWe confront this issue; we employ a novel reduction algorithm to produce a 2 compartment model of the cerebellar Purkinje neuron from a previously published, 1089 compartment model. It runs more than 400 times faster and retains the electrical behavior of the full model. So, it is more suitable for inclusion in large network models, where computational power is a limiting issue. We show the utility of this reduced model by demonstrating that it can replicate the full model’s response to alcohol, which can in turn reproduce experimental recordings from Purkinje neurons following alcohol application.ConclusionsWe show that alcohol may modulate Purkinje neuron firing by an inhibition of their sodium-potassium pumps. We suggest that this action, upon cerebellar Purkinje neurons, is how alcohol ingestion can corrupt motor co-ordination. In this way, we relate events on the molecular scale to the level of behavior.

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Section: Discussionmentioning

confidence: 99%

Simulation of alcohol action upon a detailed Purkinje neuron model and a simpler surrogate model that runs >400 times faster

Forrest

2015

BMC Neurosci

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“…Detailed modeling is a viable alternative, although it is hampered by unknown physiological data, such as the shape and frequency dependence of inhibitory PRCs, statistical properties of some connections, or a detailed understanding of how DCN cells integrate their input. Nevertheless, there are realistic community models [77] that have approached similar challenges (e.g. [78,38,79,25]), so their use along with experimental approaches is a promising future direction.…”

Section: Two Principles For Studying Stochastic Synchronization With ...mentioning

confidence: 99%

How stochastic synchrony could work in cerebellar Purkinje cells

Verduzco-Flores

2014

Preprint

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Simple spike synchrony between Purkinje cells projecting to a common neuron in the deep cerebellar nucleus is emerging as an important factor in the encoding of output information from cerebellar cortex. Stochastic synchronization is a viable mechanism through which this synchrony could be generated, but it has received scarce attention, perhaps because the presence of feedforward inhibition in the input to Purkinje cells makes insights difficult. This paper presents a method to account for feedforward inhibition so the usual mathematical approaches to stochastic synchronization can be applied. Three concepts (input correlation, heterogeneity, and PRC shape) are then introduced to facilitate an intuitive understanding of how different factors can affect synchronization in Purkinje cells. This is followed by a discussion of how stochastic synchrony could play a role in the cerebellar response under different assumptions.

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Single-Neuron and Network Computation in Realistic Models of the Cerebellar Cortex

D’Angelo

Masoli

Rizza

et al. 2016

The Neuronal Codes of the Cerebellum

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The Emergence of Community Models in Computational Neuroscience: The 40-Year History of the Cerebellar Purkinje Cell

Cited by 4 publications

References 153 publications

Simulation of alcohol action upon a detailed Purkinje neuron model and a simpler surrogate model that runs >400 times faster

Simulation of alcohol action upon a detailed Purkinje neuron model and a simpler surrogate model that runs >400 times faster

How stochastic synchrony could work in cerebellar Purkinje cells

Single-Neuron and Network Computation in Realistic Models of the Cerebellar Cortex

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