Reduced spike frequency adaptation in Purkinje cells of the vestibulocerebellum

Kim, Chang Hee; Shin, Jae Jin; Kim, Jun; Kim, Sang Jeong

doi:10.1016/j.neulet.2012.12.045

Cited by 10 publications

(8 citation statements)

References 25 publications

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“…As observed in PCs in vitro (Raman and Bean, 1999 ; Khaliq et al, 2003 ) and in vivo (Shin et al, 2007 ), the PC model recorded from soma showed spontaneous simple spike generation at rest and increased its discharge frequency upon depolarizing current injection. With high injected currents (>2.2 nA), the model switched to complex bursting , characterized by repetitive high-frequency bursts with marked adaptation corresponding to the Ca 2+ -Na + spike bursts observed experimentally (McKay and Turner, 2005 ; Kim et al, 2013 ) (Figure 2A ; see Movie in Supplementary Material). Upon hyperpolarizing current injection, the model showed sagging inward rectification followed by rebound excitation once the stimulus pulse was terminated.…”

Section: Resultsmentioning

confidence: 69%

“…During complex bursting, Ca currents became larger in the dendrites than in axo-somatic compartments, so that the control of action potential generation temporarily passed to the dendrites (Figure 7 ) reproducing a property typical of PCs (McKay and Turner, 2005 ; Kim et al, 2013 ). Interestingly, during complex bursting, intracellular diffusion of dendritic depolarizing currents into the axon was strong enough to activate action potentials in RNs, even when the main AIS generator was silenced by Na channel inactivation.…”

Section: Resultsmentioning

confidence: 85%

“…With this approach, the model reproduced satisfactorily PC electroresponsiveness elicited by somatic current injection. It should be noted that the existence of PC variants was suggested based on histochemical and electrophysiological analysis (McKay and Turner, 2005 ; Kim et al, 2012 , 2013 ). Here we have reconstructed a canonical PC model, which simulates the typical electrophysiological behavior of PCs.…”

Section: Methodsmentioning

confidence: 99%

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Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization

Masoli

Solinas

D’Angelo

2015

Front. Cell. Neurosci.

132

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The Purkinje cell (PC) is among the most complex neurons in the brain and plays a critical role for cerebellar functioning. PCs operate as fast pacemakers modulated by synaptic inputs but can switch from simple spikes to complex bursts and, in some conditions, show bistability. In contrast to original works emphasizing dendritic Ca-dependent mechanisms, recent experiments have supported a primary role for axonal Na-dependent processing, which could effectively regulate spike generation and transmission to deep cerebellar nuclei (DCN). In order to account for the numerous ionic mechanisms involved (at present including Nav1.6, Cav2.1, Cav3.1, Cav3.2, Cav3.3, Kv1.1, Kv1.5, Kv3.3, Kv3.4, Kv4.3, KCa1.1, KCa2.2, KCa3.1, Kir2.x, HCN1), we have elaborated a multicompartmental model incorporating available knowledge on localization and gating of PC ionic channels. The axon, including initial segment (AIS) and Ranvier nodes (RNs), proved critical to obtain appropriate pacemaking and firing frequency modulation. Simple spikes initiated in the AIS and protracted discharges were stabilized in the soma through Na-dependent mechanisms, while somato-dendritic Ca channels contributed to sustain pacemaking and to generate complex bursting at high discharge regimes. Bistability occurred only following Na and Ca channel down-regulation. In addition, specific properties in RNs K currents were required to limit spike transmission frequency along the axon. The model showed how organized electroresponsive functions could emerge from the molecular complexity of PCs and showed that the axon is fundamental to complement ionic channel compartmentalization enabling action potential processing and transmission of specific spike patterns to DCN.

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Section: Resultsmentioning

confidence: 69%

Section: Resultsmentioning

confidence: 85%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization

Masoli

Solinas

D’Angelo

2015

Front. Cell. Neurosci.

132

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“…Spike timing adaptation is a widespread phenomenon throughout the nervous system [37], [39], [75]. In particular, neocortical pyramidal cells produce spike adaptation with multiple timescale dynamics [5], [37], [59].…”

Section: Discussionmentioning

confidence: 99%

“…The value of might correspond to the type, function, or location of specific neurons [38]. These regional differences are not exclusive to the cortex, for example, Purkinje cells in Lobule X and Lobules III – V show different degrees of spike adaptation [75]. Thus, different values of can be used to map the general voltage and spike time adaptation properties of neurons throughout the brain.…”

Section: Discussionmentioning

confidence: 99%

Neuronal Spike Timing Adaptation Described with a Fractional Leaky Integrate-and-Fire Model

2014

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The voltage trace of neuronal activities can follow multiple timescale dynamics that arise from correlated membrane conductances. Such processes can result in power-law behavior in which the membrane voltage cannot be characterized with a single time constant. The emergent effect of these membrane correlations is a non-Markovian process that can be modeled with a fractional derivative. A fractional derivative is a non-local process in which the value of the variable is determined by integrating a temporal weighted voltage trace, also called the memory trace. Here we developed and analyzed a fractional leaky integrate-and-fire model in which the exponent of the fractional derivative can vary from 0 to 1, with 1 representing the normal derivative. As the exponent of the fractional derivative decreases, the weights of the voltage trace increase. Thus, the value of the voltage is increasingly correlated with the trajectory of the voltage in the past. By varying only the fractional exponent, our model can reproduce upward and downward spike adaptations found experimentally in neocortical pyramidal cells and tectal neurons in vitro. The model also produces spikes with longer first-spike latency and high inter-spike variability with power-law distribution. We further analyze spike adaptation and the responses to noisy and oscillatory input. The fractional model generates reliable spike patterns in response to noisy input. Overall, the spiking activity of the fractional leaky integrate-and-fire model deviates from the spiking activity of the Markovian model and reflects the temporal accumulated intrinsic membrane dynamics that affect the response of the neuron to external stimulation.

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Dynamics and implementation techniques of fractional-order neuron models: a survey

Dar

Kant

Khanday

2022

Fractional Order Systems

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Reduced spike frequency adaptation in Purkinje cells of the vestibulocerebellum

Cited by 10 publications

References 25 publications

Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization

Action potential processing in a detailed Purkinje cell model reveals a critical role for axonal compartmentalization

Neuronal Spike Timing Adaptation Described with a Fractional Leaky Integrate-and-Fire Model

Dynamics and implementation techniques of fractional-order neuron models: a survey

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