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The high-conductance state of neocortical neurons in vivo
TLDR
Results from different approaches in understanding the integrative properties of neocortical neurons in the intact brain are summarized to help understand the complex interplay between the active properties of dendrites and how they convey discrete synaptic inputs to the soma. Expand
Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo.
During wakefulness, neocortical neurons are subjected to an intense synaptic bombardment. To assess the consequences of this background activity for the integrative properties of pyramidal neurons,Expand
Spatiotemporal Analysis of Local Field Potentials and Unit Discharges in Cat Cerebral Cortex during Natural Wake and Sleep States
TLDR
The results show that natural SWS in cats is characterized by slow-wave complexes, synchronized over large cortical territories, interleaved with brief periods of fast oscillations, characterized by local synchrony, and of characteristics similar to that of the sustainedfast oscillations of activated states. Expand
Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism
Markov kinetic models were used to synthesize a complete description of synaptic transmission, including opening of voltage-dependent channels in the presynaptic terminal, release ofExpand
Ionic mechanisms underlying synchronized oscillations and propagating waves in a model of ferret thalamic slices.
TLDR
Two key properties of cells in the thalamic network may account for the initiation, propagation, and termination of spindle oscillations, the activity-dependent upregulation of Ih in TC cells, and the localized axonal projections between TC and RE cells. Expand
Simulation of networks of spiking neurons: A review of tools and strategies
TLDR
This work provides a series of benchmark simulations of different types of networks of spiking neurons, including Hodgkin–Huxley type, integrate-and-fire models, interacting with current-based or conductance-based synapses, using clock-driven or event-driven integration strategies. Expand
Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons
TLDR
Many of the characteristics of cortical neurons in vivo can be explained by fast glutamatergic and GABAergic conductances varying stochastically, including a depolarized membrane potential and the presence of high-amplitude membrane potential fluctuations. Expand
Kinetic Models of Synaptic Transmission
The remarkably successful quantitative description of the action potential introduced by Hodgkin and Huxley (1952) is still widely used over 40 years since its introduction. The classicalExpand
Impact of spontaneous synaptic activity on the resting properties of cat neocortical pyramidal neurons In vivo.
TLDR
The background synaptic activity present in intact networks dramatically reduces the electrical compactness of cortical neurons and modifies their integrative properties and should be taken into account when extrapolating in vitro findings to the intact brain. Expand
An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding
TLDR
This paper shows that reasonable biophysical assumptions about synaptic transmission allow the equations for a simple kinetic synapse model to be solved analytically, and yields a mechanism that preserves the advantages of kinetic models while being as fast to compute as a single tr-function. Expand
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