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Engineering Neuron Models

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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

NEURON and Python

Eilif Benjamin Muller, Michael Lee Hines

The NEURON simulation program now allows Python to be used, alone or in combination with NEURON's traditional Hoc interpreter. Adding Python to NEURON has the immediate benefit of making available a very extensive suite of analysis tools written for engine ...

Frontiers Research Foundation2009

Simple Neuron Models and Adaptation

Skander Mensi

Predicting activity of single neuron is an important part of the computational neuroscience and a great challenge. Several mathematical models exist, from the simple (one compartment and few parameters, like the SRM or the IF-type models), to the more comp ...

2008

Motor intention in the posterior parietal cortex

Jugoslava Acimovic

The complexity of processes occurring in the brain is an intriguing issue not just for scientists and medical doctors, but the humanity in general. The cortex ability to perceive and analyze an enormous amount of information in an instance of time, the par ...

EPFL2008

Identifying, tabulating, and analyzing contacts between branched neuron morphologies

Henry Markram

Simulating neural tissue requires the construction of models of the anatomical structure and physiological function of neural microcircuitry. The Blue Brain Project is simulating the microcircuitry of a neocortical column with very high structural and phys ...

2008

The quantitative single-neuron modeling competition

Wulfram Gerstner, Felix Schürmann, Thomas Berger, Richard Naud, Renaud Jolivet

As large-scale, detailed network modeling projects are flourishing in the field of computational neuroscience, it is more and more important to design single neuron models that not only capture qualitative features of real neurons but are quantitatively ac ...

Springer Verlag2008

Fully implicit parallel simulation of single neurons

Henry Markram, Felix Schürmann

When a multi-compartment neuron is divided into subtrees such that no subtree has more than two connection points to other subtrees, the subtrees can be on different processors and the entire system remains amenable to direct Gaussian elimination with only ...

2008

A benchmark test for a quantitative assessment of simple neuron models

Wulfram Gerstner, Richard Naud, Renaud Jolivet

Several methods and algorithms have recently been proposed that allow for the systematic evaluation of simple neuron models from intracellular or extracellular recordings. Models built in this way generate good quantitative predictions of the future activi ...

Elsevier2008

Neuron models of the generic bifurcation type

Minimal nonlinear dynamic neuron models of the generic bifurcation type may provide the middle way between the detailed models favored by experimentalists and the simplified threshold and rate model of computational neuroscientists. This thesis investigate ...

EPFL2006

Parallel network simulations with NEURON

Henry Markram

The NEURON simulation environment has been extended to support parallel network simulations. Each processor integrates the equations for its subnet over an interval equal to the minimum (interprocessor) presynaptic spike generation to postsynaptic spike de ...

2006