Neural networks are more than the sum of their parts, but the properties of those parts are
nonetheless important. For instance, neuronal properties affect the degree to which neurons …

Cell assemblies, defined as groups of neurons exhibiting precise spike coordination, were
proposed as a model of network processing in the cortex. Fortunately, in recent years …

Neurons in the brain communicate with spikes, which are discrete events in time and value.
Functional network models often employ rate units that are continuously coupled by analog …

With the ability to observe the activity from large numbers of neurons simultaneously using
modern recording technologies, the chance to identify sub-networks involved in coordinated …

Temporally, precise correlations between simultaneously recorded neurons have been
interpreted as signatures of cell assemblies, ie, groups of neurons that form processing …

The pancreatic islets of Langerhans are multicellular micro-organs integral to maintaining
glucose homeostasis through secretion of the hormone insulin. β-cells within the islet exist …

Recent analysis of evoked activity recorded across different brain regions and tasks
revealed a marked decrease in noise correlations and trial-by-trial variability. Given the …

Pairwise maximum-entropy models have been used in neuroscience to predict the activity of
neuronal populations, given only the time-averaged correlations of the neuron activities …

Neurons communicate and transmit information predominantly through spikes. Given that
experimentally observed neural spike trains in a variety of brain areas can be highly …

Pairs of neurons in brain networks often share much of the input they receive from other
neurons. Due to essential nonlinearities of the neuronal dynamics, the consequences for the …