A family of synaptic plasticity rules based on spike times produces a diversity of triplet motifs in recurrent networks
Claudia Cusseddu, Dylan Festa, Christoph Miehl, Julijana Gjorgjieva · Bernstein Conference 2024
Understanding the fine-scale connectivity structure of neural networks is key to deciphering their behaviour. Motifs in network connectivity are instrumental in relating circuit structure to dynamical properties of neural activity, such as covariability and dimensionality [1]. Experiments have made significant progress in measuring precise neural connectivity: multi-patch experiments, as well as more recent studies in connectomics, have found that certain types of three-neuron (triplet) connectivity motifs are over- or underrepresented relative to chance (Fig.1A, [2,3]). However, it is still u