Neurons (or nerve cells) are electrically excitable cells within the nervous system, able to fire electric signals, called action potentials, across a neural network. These mathematical models describe the role of the biophysical and geometrical characteristics of neurons on the conduction of electrical activity.

This review paper summarizes the fundamental properties of commonly adopted neuron models and their dynamical characteristics; we present a compact overview of the recent literature results, organized according to the model.

Studying a population of models with different underlying structure and similar behaviors provides opportunities to discover unsuspected compensatory mechanisms that contribute to neuron and network function.

Neuronal modelling is the process by which a biological neuron is represented by a mathematical structure that incorporates its biophysical and geometrical characteristics. This structure is referred to as the mathematical model or the model of the neuron.

ModelDB provides an accessible location for storing and efficiently retrieving computational neuroscience models. Models in ModelDB can be coded in any language for any environment. Model code can be viewed before downloading, and …

May 6, 2023 · The NEURON simulation environment is used in laboratories and classrooms around the world for building and using computational models of neurons and networks of neurons. Here you will find installers and source code, documentation, tutorials, announcements of courses and conferences, and discussion forums about NEURON in particular and ...

Models of neural computation are attempts to elucidate, in an abstract and mathematical fashion, the core principles that underlie information processing in biological nervous systems, or functional components thereof.

The Neuron Eugene Izhikevich developed a simple, semiempirical, model of cortical neurons. The properties of each neuron are controlled by 4 parameters, plus a constant current input. His web site includes matlab programs and detailed descriptions of the cell model.

We wanted models at at least two different levels: Integrate and Fire digital neurons which emphisize simple dynamics and can be connected together to form larger systems. Conductance-level neuron models which use analog techniques to simulate the dynamics of individual cells.

Mar 24, 2025 · c, This network contains >100 individual neuron models representing 17 major cell classes in layers 1, 2/3, 4, 5 and 6, fit to intrinsic electrophysiology data for individual cells with ...