ePoster · Computational Neuroscience
Dendritic nonlinearities and synapse type-specific input clustering enable the development of input selectivity in a wide range of settings.
Emmanouil Giannakakis, Alex Bird, Peter Jedlicka, Hermann Cuntz, Anna Levina · Bernstein Conference 2024
The importance of dendritic structures for neural computation has been recognized since the early days of neuroscience. However, it is only recently, with the increasing availability of data and advances in modelling techniques, that researchers have begun to map out the precise roles of different branching structures and synaptic distributions [1, 2]. Here, we investigate how the nonlinear integration of excitatory and inhibitory currents in dendritic branches can enhance the ability of a neuron to develop input selectivity and E/I balance via Hebbian synaptic plasticity. We model a single ra