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Complexity and performance in simple neuron models

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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

Coding and Decoding with Adapting Neurons: A Population Approach to the Peri-Stimulus Time Histogram

Wulfram Gerstner, Richard Naud

The response of a neuron to a time-dependent stimulus, as measured in a Peri-Stimulus-Time-Histogram (PSTH), exhibits an intricate temporal structure that reflects potential temporal coding principles. Here we analyze the encoding and decoding of PSTHs for ...

Public Library of Science2012

Optogenetic Probing of Cortical Synaptic Circuits Measured Through in Vivo Whole-Cell Recordings in the Mouse Barrel Cortex

Céline Matéo

Although neocortex underlies higher-order brain functions, little is known about the synaptic interactions that drive neocortical microcircuit function in vivo. The neocortex is spontaneously active in vivo so I explored how such spontaneous network activi ...

EPFL2011

Synaptic Mechanisms Underlying Sparse Coding of Active Touch

Carl Petersen, Sylvain Crochet, Yves Emile Alfred Kremer, James Poulet

Sensory information is actively gathered by animals, but the synaptic mechanisms driving neuronal circuit function during active sensory processing are poorly understood. Here, we investigated the synaptically driven membrane potential dynamics during acti ...

2011

Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties

Henry Markram, Felix Schürmann, Sean Lewis Hill, Idan Segev

The thick-tufted layer 5b pyramidal cell extends its dendritic tree to all six layers of the mammalian neocortex and serves as a major building block for the cortical column. L5b pyramidal cells have been the subject of extensive experimental and modeling ...

2011

Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation

Michele Giugliano

Stochastic channel gating is the major source of intrinsic neuronal noise whose functional consequences at the microcircuit- and network-levels have been only partly explored. A systematic study of this channel noise in large ensembles of biophysically det ...

2011

Statistical models of neural activity are at the core of the field of modern computational neuroscience. The activity of single neurons has been modeled to successfully explain dependencies of neural dynamics to its own spiking history, to external stimuli ...

2010

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Electrophysiological connectivity patterns in cortex often have a few strong connections, which are sometimes bidirectional, among a lot of weak connections. To explain these connectivity patterns, we created a model of spike timing–dependent plasticity (S ...

Nature Publishing Group2010

How Good are Neuron Models?

Wulfram Gerstner, Richard Naud

Opinions strongly diverge on what constitutes a good model of a neuron. Two lines of thought on this have coexisted for a long time: detailed biophysical models (of the style proposed in 1952 by the physiologists Alan Hodgkin and Andrew Huxley) that descri ...

2009

In computational neuroscience, it is of crucial importance to dispose of a model that is able to accurately describe the single-neuron activity. This model should be at the same time biologically relevant and computationally fast. Many different phenomenol ...

2009