(A) To study the relative impact of the different components of the inferior olive we employed a biologically realistic network consisting of 200 model neurons embedded in a 3D grid of 10 x 10 x 2. The model neurons received input from two sources: a phasic input dubbed "sensory input" and a continuous fluctuating current, emulating a "contextual input". The “sensory input” reaches a subset of neurons synchronously and is modeled as an activation of glutamate receptor channels with a peak amplitude of 5 pA/cm2. The “sensory input” is complemented with a continuous input that is a mixture of excitatory and inhibitory synapses representing signals from different sources (see Fig 1A). The “contextual input” is modeled as an Ornstein-Uhlenbeck ...
Mathematical models of two Aplysia neurons simulate salient features of the electrical and chemical ...
Background Recent progress in electrophysiological and optical methods for neuronal recordings prov...
Computational neuroscience attempts to reverse engineer brain circuits at the cellular and system le...
(A) A phasic and synchronous input mimicking sensory input (see Fig 5A) was delivered to a subset of...
(A) Phase-dependent spiking was prominent in our network model of the inferior olive in the absence ...
<div><p>It is commonly accepted that the Inferior Olive (IO) provides a timing signal to the cerebel...
It is commonly accepted that the Inferior Olive (IO) provides a timing signal to the cerebellum. Sta...
(A) Simplified scheme of the inputs to the inferior olive (IO). Sensory input reaches the IO directl...
neurons reveals climbing fiber intra-burst frequency depends on Olivocerebellar axon morpholog
<p>(A) The architecture of the model is composed of five populations of neurons. Three populations (...
The inferior olive (IO) is a neural network belonging to the olivo-cerebellar system whose neurons a...
textabstractThe inferior olive (IO) is an evolutionarily conserved brain stem structure and its outp...
BackgroundRecent progress in electrophysiological and optical methods for neuronal recordings provid...
Dendritic spines in glomeruli of the inferior olive are coupled by gap junctions and receive both in...
<p><b>A.</b> The model comprises two areas: a lower area approximating primary visual cortex, compos...
Mathematical models of two Aplysia neurons simulate salient features of the electrical and chemical ...
Background Recent progress in electrophysiological and optical methods for neuronal recordings prov...
Computational neuroscience attempts to reverse engineer brain circuits at the cellular and system le...
(A) A phasic and synchronous input mimicking sensory input (see Fig 5A) was delivered to a subset of...
(A) Phase-dependent spiking was prominent in our network model of the inferior olive in the absence ...
<div><p>It is commonly accepted that the Inferior Olive (IO) provides a timing signal to the cerebel...
It is commonly accepted that the Inferior Olive (IO) provides a timing signal to the cerebellum. Sta...
(A) Simplified scheme of the inputs to the inferior olive (IO). Sensory input reaches the IO directl...
neurons reveals climbing fiber intra-burst frequency depends on Olivocerebellar axon morpholog
<p>(A) The architecture of the model is composed of five populations of neurons. Three populations (...
The inferior olive (IO) is a neural network belonging to the olivo-cerebellar system whose neurons a...
textabstractThe inferior olive (IO) is an evolutionarily conserved brain stem structure and its outp...
BackgroundRecent progress in electrophysiological and optical methods for neuronal recordings provid...
Dendritic spines in glomeruli of the inferior olive are coupled by gap junctions and receive both in...
<p><b>A.</b> The model comprises two areas: a lower area approximating primary visual cortex, compos...
Mathematical models of two Aplysia neurons simulate salient features of the electrical and chemical ...
Background Recent progress in electrophysiological and optical methods for neuronal recordings prov...
Computational neuroscience attempts to reverse engineer brain circuits at the cellular and system le...