Brian 2 allows scientists to simply and efficiently simulate spiking neural network models.
These models can feature novel dynamical equations, their interactions with the …

We present The Virtual Brain (TVB), a neuroinformatics platform for full brain network
simulations using biologically realistic connectivity. This simulation environment enables the …

Elucidating the intricate neural mechanisms underlying brain functions requires integrative
brain dynamics modeling. To facilitate this process, it is crucial to develop a general-purpose …

Mossy cells in the hilus of the dentate gyrus constitute a major excitatory principal cell type in
the mammalian hippocampus; however, it remains unknown how these cells behave in vivo …

Simulating biological neuronal networks is a core method of research in computational
neuroscience. A full specification of such a network model includes a description of the …

Inspired by the function, power, and volume of the organic brain, we are develo**
TrueNorth, a novel modular, non-von Neumann, ultra-low power, compact architecture …

Many modern neural simulators focus on the simulation of networks of spiking neurons on
parallel hardware. Another important framework in computational neuroscience, rate-coded …

To understand how the central nervous system performs computations using recurrent
neuronal circuitry, simulations have become an indispensable tool for theoretical …

The hippocampus plays a key role in pattern separation, the process of transforming similar
incoming information to highly dissimilar, nonverlap** representations. Sparse firing …

Computational modeling is increasingly used to understand the function of neural circuits in
systems neuroscience. These studies require models of individual neurons with realistic …