Model Concept: Synaptic Convergence

Synaptic convergence describes a pattern of connectivity in neural networks where multiple inputs from diverse sources (cells or brain regions) connect to the same target cell(s).

Top authors for Synaptic Convergence:
Top concepts studied with Synaptic Convergence:
Top neurons studied with Synaptic Convergence:
Top currents studied with Synaptic Convergence:
Top references cited by these models:
This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.