Parametric Anatomical Modeling: a method for modeling the anatomical layout of neurons and their projections.

ABSTRACT: Computational models of neural networks can be based on a variety of different parameters. These parameters include, for example, the 3d shape of neuron layers, the neurons' spatial projection patterns, spiking dynamics and neurotransmitter systems. While many well-developed approaches are available to model, for example, the spiking dynamics, there is a lack of approaches for modeling the anatomical layout of neurons and their projections. We present a new method, called Parametric Anatomical Modeling (PAM), to fill this gap. PAM can be used to derive network connectivities and conduction delays from anatomical data, such as the position and shape of the neuronal layers and the dendritic and axonal projection patterns. Within the PAM framework, several mapping techniques between layers ca

SUBMITTER: Pyka M 

PROVIDER: S-EPMC4164034 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature