Christian Tomm

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Related publications (4)

Connection-type-specific biases make uniform random network models consistent with cortical recordings

Wulfram Gerstner, Carl Petersen, Michael Avermann, Christian Tomm, Tim Vogels

Uniform random sparse network architectures are ubiquitous in computational neuroscience, but the implicit hypothesis that they are a good representation of real neuronal networks has been met with skepticism. Here we used two experimental data sets, a stu ...

American Physiological Society2014

Analysing Neuronal Network Architectures : From Weight Distributions to Structure and Back

Christian Tomm

The connections cortical neurons forms are different in each individual human or animal. Although there are known and determined large scale connections between areas of the brain that are common across individuals, the local connectivity on smaller scales ...

EPFL2012

Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex

Wulfram Gerstner, Carl Petersen, Céline Matéo, Michael Avermann, Christian Tomm

Avermann M, Tomm C, Mateo C, Gerstner W, Petersen CC. Microcircuits of excitatory and inhibitory neurons in layer 2/3 of mouse barrel cortex. J Neurophysiol 107: 3116-3134, 2012. First published March 7, 2012; doi:10.1152/jn.00917.2011.-Synaptic interactio ...

American Physiological Society2012

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

Juan-Carlos Sarria, Carl Petersen, 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

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