Frederick C. Harris

TL;DR: In this paper, a review of different aspects of the simulation of spiking neural networks is presented, with the aim of identifying the appropriate integration strategy and simulation tool to use for a given modeling problem related to spiking networks.

TL;DR: This work provides a series of benchmark simulations of different types of networks of spiking neurons, including Hodgkin–Huxley type, integrate-and-fire models, interacting with current-based or conductance-based synapses, using clock-driven or event-driven integration strategies.

TL;DR: This paper focuses on design and usability aspects of the proposed ACAT tool, named ACAT (ABET Course Assessment Tool), it is a web-based application designed to assist in the collecting of data and generation of standardized assessment reports.

TL;DR: The primary goal of this simulator is to create a novel classi er based on a biologically realistic neocortical-neural network, which is accomplished by modeling a whole community of cells within a brain structure and observing the emergent behavior of this system.

TL;DR: This proof-of-concept design offers an example of a high-performance environment that utilizes multiple general purpose graphical processing units in a novel configuration and offers the promise of both performance and biophysical faithfulness.