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Published: 04.05.2021

- Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons
- The geometry of rest–spike bistability
- The geometry of rest-spike bistability

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Advances in Computational Neuroscience View all 15 Articles. Synapses are highly stochastic transmission units. A classical model describing this stochastic transmission is called the binomial model, and its underlying parameters can be estimated from postsynaptic responses to evoked stimuli. The accuracy of parameter estimates obtained via such a model-based approach depends on the identifiability of the model.

The primary olfactory or piriform cortex is a promising model system for understanding how the cerebral cortex processes sensory information, although an investigation of the piriform cortex is hindered by a lack of detailed information about the intrinsic electrical properties of its component neurons. In the present study, we quantify the properties of voltage-dependent sodium currents and voltage- and calcium-dependent potassium currents in two important classes of excitatory neurons in the main input layer of the piriform cortex. We identify several classes of these currents and show that their properties are similar to those found in better-studied cortical regions. Our detailed quantitative descriptions of these currents will be valuable to computational neuroscientists who aim to build models that explain how the piriform cortex encodes odours. The primary olfactory cortex or piriform cortex, PC is an anatomically simple palaeocortex that is increasingly used as a model system for investigating cortical sensory processing. However, little information is available on the intrinsic electrical conductances in neurons of the PC, hampering efforts to build realistic computational models of this cortex.

Morris—Lecar model is arguably the simplest dynamical model that retains both the slow—fast geometry of excitable phase portraits and the physiological interpretation of a conductance-based model. We augment this model with one slow inward current to capture the additional property of bistability between a resting state and a spiking limit cycle for a range of input current. The resulting dynamical system is a core structure for many dynamical phenomena such as slow spiking and bursting. We show how the proposed model combines physiological interpretation and mathematical tractability and we discuss the benefits of the proposed approach with respect to alternative models in the literature. Conductance-based models are by now well established as a fundamental modeling framework to connect the physiology and the dynamics of excitable cells. Ever since the seminal work of Hodgkin and Huxley [ 1 ], there has been a continuing effort in the literature to develop models that combine mathematical tractability and physiological interpretation.

Morris-Lecar model is arguably the simplest dynamical model that retains both the slow-fast geometry of excitable phase portraits and the physiological interpretation of a conductance-based model. We augment this model with one slow inward current to capture the additional property of bistability between a resting state and a spiking limit cycle for a range of input current. The resulting dynamical system is a core structure for many dynamical phenomena such as slow spiking and bursting. We show how the proposed model combines physiological interpretation and mathematical tractability and we discuss the benefits of the proposed approach with respect to alternative models in the literature. Coronaviruses encompass a large family of viruses that cause the common cold as well as more serious diseases, such as the ongoing outbreak of coronavirus disease COVID; formally known as nCoV.

Significance Neurons need to be able to tune their firing rates to the input they receive. This requires a complex balance of different kinds of ion channels in the.

Thank you for visiting nature. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser or turn off compatibility mode in Internet Explorer. In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Hippocampal pyramidal neurons are endowed with signature excitability characteristics, exhibit theta-frequency selectivity — manifesting as impedance resonance and as a band-pass structure in the spike-triggered average STA — and coincidence detection tuned for gamma-frequency inputs.

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## 5 Comments

## Quennel L.

Ion channel degeneracy enables robust and tunable neuronal firing rates Article · Figures & SI · Info & Metrics · PDF. Loading. Significance. Neurons need to be able to tune their firing rates to the input they receive.

## Mathilde Q.

Firing rate is an important means of encoding information in the nervous system. To reliably encode a wide range of signals, neurons need to.

## Orazio T.

Ion channel degeneracy enables robust and tunable neuronal firing rates. Thumbnail. View / Open Files. Accepted version (PDF, 1Mb).

## Gioconda M.

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## NeftalГ S.

Dopaminergic neurons DAs of the rodent substantia nigra pars compacta SNc display varied electrophysiological properties in vitro.