Population coding is the quantitative study of which algorithms or representations are used
by the brain to combine together and evaluate the messages carried by different neurons …

Characterization of synaptic connectivity is essential to understanding neural circuit
dynamics. For extracellularly recorded spike trains, indirect evidence for connectivity can be …

With the increasing popularity of computer-aided technology applied in medicine, great
achievements have been made in certain diseases. However, due to the similarity of clinical …

We give a personal view of what Information Geometry is, and what it is becoming, by
exploring a number of key topics: dual affine families, boundaries, divergences, tensorial …

Memory is crucial for our cognitive abilities such as perception and decision making.
Understanding how the brain learns and remembers is, therefore, one of the most important …

The characterization of functional network structures among multiple neurons is essential to
understanding neural information processing. Information geometry (IG), a theory developed …

The brain processes information in a highly parallel manner. Determination of the
relationship between neural spikes and synaptic connections plays a key role in the analysis …

Analysis of correlated spike trains is a hot topic of research in computational neuroscience.
A general model of probability distributions for spikes includes too many parameters to be of …

Plasticity is one of the most important properties of the nervous system, which enables
animals to adjust their behavior to the ever-changing external environment. Changes in …

A graph is a mathematical representation of a set of variables where some pairs of the
variables are connected by edges. Common examples of graphs are railroads, the Internet …