Under sustained input current of increasing strength neurons eventually stop firing, entering a depolarization block. This is a robust effect that is not usually explored in experiments or explicitly implemented or tested in models. However, the range of current strength needed for a depolarization block could be easily reached with a random background activity of only a few hundred excitatory synapses. Depolarization block may thus be an important property of neurons that should be better characterized in experiments and explicitly taken into account in models at all implementation scales. Here we analyze the spiking dynamics of CA1 pyramidal neuron models using the same set of ionic currents on both an accurate morphological reconstructio...
Modeling long-term neuronal dynamics may require running long-lasting simulations. Such simulations ...
ABSTRACT Hippocampal CA1 neurons exposed to zero-[Ca21] solutions can generate periodic spontaneous ...
Dynamic spike threshold plays a critical role in neuronal input-output relations. In many neu-rons, ...
Under sustained input current of increasing strength neurons eventually stop firing, entering a depo...
International audienceUnder sustained input current of increasing strength neurons eventually stop f...
Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal syn...
Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal syn...
AbstractSodium channels in the somata and dendrites of hippocampal CA1 pyramidal neurons undergo a f...
In order to maintain stable functionality in the face of continually changing input, neurones in the...
Rebound depolarization (RD) occurs after membrane hyperpolarization and converts an arriving inhibit...
We studied single neuron dynamics during anoxic depolarizations, which are often observed in cases o...
Dynamic spike threshold plays a critical role in neuronal input-output relations. In many neurons, t...
The temporal dynamics of membrane voltage changes in neurons is controlled by ionic currents. These ...
Firing rate is an important means of encoding information in the nervous system. To reliably encode ...
Modeling the layer 5 pyramidal neuron as a system of three connected isopotential compartments, the ...
Modeling long-term neuronal dynamics may require running long-lasting simulations. Such simulations ...
ABSTRACT Hippocampal CA1 neurons exposed to zero-[Ca21] solutions can generate periodic spontaneous ...
Dynamic spike threshold plays a critical role in neuronal input-output relations. In many neu-rons, ...
Under sustained input current of increasing strength neurons eventually stop firing, entering a depo...
International audienceUnder sustained input current of increasing strength neurons eventually stop f...
Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal syn...
Every neuron is part of a network, exerting its function by transforming multiple spatiotemporal syn...
AbstractSodium channels in the somata and dendrites of hippocampal CA1 pyramidal neurons undergo a f...
In order to maintain stable functionality in the face of continually changing input, neurones in the...
Rebound depolarization (RD) occurs after membrane hyperpolarization and converts an arriving inhibit...
We studied single neuron dynamics during anoxic depolarizations, which are often observed in cases o...
Dynamic spike threshold plays a critical role in neuronal input-output relations. In many neurons, t...
The temporal dynamics of membrane voltage changes in neurons is controlled by ionic currents. These ...
Firing rate is an important means of encoding information in the nervous system. To reliably encode ...
Modeling the layer 5 pyramidal neuron as a system of three connected isopotential compartments, the ...
Modeling long-term neuronal dynamics may require running long-lasting simulations. Such simulations ...
ABSTRACT Hippocampal CA1 neurons exposed to zero-[Ca21] solutions can generate periodic spontaneous ...
Dynamic spike threshold plays a critical role in neuronal input-output relations. In many neu-rons, ...