Characteristic columnar connectivity caters to cortical computation: Replication, simulation, and evaluation of a microcircuit model.

ABSTRACT: The neocortex, and with it the mammalian brain, achieves a level of computational efficiency like no other existing computational engine. A deeper understanding of its building blocks (cortical microcircuits), and their underlying computational principles is thus of paramount interest. To this end, we need reproducible computational models that can be analyzed, modified, extended and quantitatively compared. In this study, we further that aim by providing a replication of a seminal cortical column model. This model consists of noisy Hodgkin-Huxley neurons connected by dynamic synapses, whose connectivity scheme is based on empirical findings from intracellular recordings. Our analysis confirms the key original finding that the specific, data-based connectivity structure enhances the comput

SUBMITTER: Schulte To Brinke T 

PROVIDER: S-EPMC9615567 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature