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Journal ArticleDOI

The NEURON simulation environment

Michael L. Hines, +1 more
- 15 Aug 1997 - 
- Vol. 9, Iss: 6, pp 1179-1209
TLDR
This work presents the basic ideas that would help informed users make the most efficient use of NEURON, the powerful and flexible environment for implementing models of individual neurons and small networks of neurons.
Abstract
The moment-to-moment processing of information by the nervous system involves the propagation and interaction of electrical and chemical signals that are distributed in space and time. Biologically realistic modeling is needed to test hypotheses about the mechanisms that govern these signals and how nervous system function emerges from the operation of these mechanisms. The NEURON simulation program provides a powerful and flexible environment for implementing such models of individual neurons and small networks of neurons. It is particularly useful when membrane potential is nonuniform and membrane currents are complex. We present the basic ideas that would help informed users make the most efficient use of NEURON.

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Book

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Peter Dayan, +1 more
TL;DR: This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.
Journal ArticleDOI

Reconstruction and Simulation of Neocortical Microcircuitry

Henry Markram, +92 more
- 08 Oct 2015 - 
TL;DR: A first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat is presented, finding a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms.
Journal ArticleDOI

Adaptive Exponential Integrate-and-Fire Model as an Effective Description of Neuronal Activity

TL;DR: The authors' simple model predicts correctly the timing of 96% of the spikes of the detailed model in response to injection of noisy synaptic conductances and has enough expressive power to reproduce qualitatively several electrophysiological classes described in vitro.
Journal ArticleDOI

The high-conductance state of neocortical neurons in vivo.

TL;DR: Results from different approaches in understanding the integrative properties of neocortical neurons in the intact brain are summarized to help understand the complex interplay between the active properties of dendrites and how they convey discrete synaptic inputs to the soma.
Journal ArticleDOI

Mechanisms of Spreading Depression and Hypoxic Spreading Depression-Like Depolarization

TL;DR: The characteristics of spreading depression and the related hypoxic SD-like depolarization and the main hypotheses that have been proposed to explain them are reviewed.
References
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Journal ArticleDOI

A quantitative description of membrane current and its application to conduction and excitation in nerve

TL;DR: This article concludes a series of papers concerned with the flow of electric current through the surface membrane of a giant nerve fibre by putting them into mathematical form and showing that they will account for conduction and excitation in quantitative terms.
Book

The Handbook of Brain Theory and Neural Networks

TL;DR: A circular cribbage board having a circular base plate on which a circular counter disc, bearing a circular scale having 122 divisions numbered consecutively from 0, is mounted for rotation.
Journal ArticleDOI

Reliability of spike timing in neocortical neurons

TL;DR: Data suggest a low intrinsic noise level in spike generation, which could allow cortical neurons to accurately transform synaptic input into spike sequences, supporting a possible role for spike timing in the processing of cortical information by the neocortex.
OtherDOI

Core Conductor Theory and Cable Properties of Neurons

TL;DR: The sections in this article are: Core Conductor Concept, Assumptions and Derivation of Cable Theory, Cable Equation Terms, and Additional Comments and References.
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