Definition
Processing of information in neuronal networks involves communication between cells with complex dendritic and axonal arbors, belonging to multiple populations each having characteristic firing properties. This complex 3D structure, where synaptic connectivity between groups of cells can also be restricted to specific anatomical layers, is believed to be an important determinant of network behavior.
While many initiatives aim to reconstruct the full connectome of specific brain regions by mapping each neuron and synaptic connection in a block of tissue, other approaches take existing information on the known cell types and their overall connectivity rules and attempt to generate synthetic neuronal circuits from these. This can be useful for checking the completeness of knowledge of the circuit and to provide input to large-scale simulations of network behavior.
Detailed Description
Reconstructed and Synthetic Neurons
Recent developments in the field of connectomicsare...
References
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Gleeson, P. (2014). Synthetic Neuronal Circuits/Networks. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_289-1
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_289-1
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