Topic: input correlations

Neurons execute diverse computations that are constrained by the branching of their dendrites and the synapses they form with other neurons. During brain development, many dendrites grow simultaneously and become integrated into multiple networks. Extensive experimental data has demonstrated the role of synapse formation and neural activity on dendrite growth. Yet, computational models of dendrite growth mostly assume random branching, implement activity-independent growth cones or generate dendrite morphologies based on abstract mathematical constraints. While these approaches achieve highly

Populations of cortical neurons can respond to changes in their common input within about a millisecond. However, that response speed has a pronounced dependence on the temporal statistics of the neuron's input (Tchumatchenko etal.2011, Merino etal. 2021, Revah etal. 2024). Slowly fluctuating inputs allow for much more rapid responses. In the dynamic gain function of the individual neuron, this corresponds to a wider bandwidth under slower input correlations. Fourcaud etal. (2003) demonstrated that a wide bandwidth requires a strong voltage dependence of the action potential initiating current