Publication

Altered sensory processing and dendritic remodeling in hyperexcitable visual cortical networks

Related publications (36)

A synaptic organizing principle for cortical neuronal groups

Henry Markram, Rodrigo de Campos Perin, Thomas Berger

Neuronal circuitry is often considered a clean slate that can be dynamically and arbitrarily molded by experience. However, when we investigated synaptic connectivity in groups of pyramidal neurons in the neocortex, we found that both connectivity and syna ...

2011

Sound-driven modulation of sub- and suprathreshold activity in mouse primary visual cortex

Diego Ghezzi

Integration of multimodal information is essential for the integrative response of the brain and is thought to be accomplished mostly in sensory association areas. However, available evidences in humans and monkeys indicate that this process begins already ...

2010

Long-range connectivity of mouse primary somatosensory barrel cortex

Bernard Schneider, Carl Petersen, Rachel Aronoff, Céline Matéo, Ferenc Mátyás

The primary somatosensory barrel cortex processes tactile vibrissae information, allowing rodents to actively perceive spatial and textural features of their immediate surroundings. Each whisker on the snout is individually represented in the neocortex by ...

Wiley-Blackwell2010

Properties of neocortical microcircuits

Thomas Berger

The mammalian neocortex is one of the most complex brain areas, integrating all sensory modalities and allowing the animal to perform high level cognitive operations. Despite some cytoarchitectural specializations, the general neocortical structure is rema ...

EPFL2009

The Excitatory Neuronal Network of the C2 Barrel Column in Mouse Primary Somatosensory Cortex

Carl Petersen, Juan-Carlos Sarria, Sandrine Lefort, Christian Tomm

Local microcircuits within neocortical columns form key determinants of sensory processing. Here, we investigate the excitatory synaptic neuronal network of an anatomically defined cortical column, the C2 barrel column of mouse primary somatosensory cortex ...

2009

Structure and function of the olfactory bulb microcircuit

Michele Pignatelli

The aim of this study is to contribute to understand the physiology of the Olfactory System through detailed microcircuit investigation, adopting advanced electrophysiological and anatomical techniques. Multiple patch clamp recordings allow understanding t ...

EPFL2009

The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputs

Michele Giugliano, Walter Senn

The response of a population of neurons to time-varying synaptic inputs can show a rich phenomenology, hardly predictable from the dynamical properties of the membrane's inherent time constants. For example, a network of neurons in a state of spontaneous a ...

Springer-Verlag2008

Hyperconnectivity of Local Neocortical Microcircuitry Induced by Prenatal Exposure to Valproic Acid

Henry Markram, Gilad Silberberg, Tania Rinaldi

Exposure to valproic acid (VPA) during embryogenesis can cause several teratogenic effects, including developmental delays and in particular autism in humans if exposure occurs during the third week of gestation. We examined the postnatal effects of embryo ...

Oxford University Press2008

Structure and dynamics of the neocortical microcircuit connectivity

Jean-Vincent Le Bé

The neocortex is the most computationally advanced portion of the brain. It is currently assumed to be composed of a large number of "cortical columns" – intricate arrangements of cortical neurons approximately 300-500 µm in diameter and 2-5 mm in height i ...

EPFL2007

Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments

Wulfram Gerstner, Renaud Jolivet, Claudia Clopath

An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protocol has been developed to extract the parameters of the aEIF model using an op ...

Elsevier2007

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