In this review, we focus on the antennal lobe (AL) of three insect species–the fruit fly, sphinx
moth, and locust. We first review the experimentally elucidated anatomy and physiology of …

There are indications that for optimizing neural computation, neural networks may operate at
criticality. Previous approaches have used distinct fingerprints of criticality, leaving open the …

We propose an information-theoretic framework to quantify multipartite correlations in
classical and quantum systems, answering questions such as what is the amount of seven …

Reconstruction of anatomical connectivity from measured dynamical activities of coupled
neurons is one of the fundamental issues in the understanding of structure-function …

Synchronous and asynchronous dynamics in all-to-all coupled networks of identical,
excitatory, current-based, integrate-and-fire (I&F) neurons with delta-impulse coupling …

Traditional quantum physics solves ground states for a given Hamiltonian, while quantum
information science asks for the existence and construction of certain Hamiltonians for given …

Perfect spike-to-spike synchrony is studied in all-to-all coupled networks of identical
excitatory, current-based, integrate-and-fire neurons with delta-impulse coupling currents …

We show that generic pure states (states drawn according to the Haar measure) of four
particles of equal internal dimension are uniquely determined among all other pure states by …

The question whether a given quantum state is a ground or thermal state of a few-body
Hamiltonian can be used to characterize the complexity of the state and is important for …

Randomly connected networks of neurons driven by Poisson inputs are often assumed to
produce “homogeneous” dynamics, characterized by largely independent firing and …