Month: November 2018

Rigorous Neural Network Simulations: A Model Substantiation Methodology for Increasing the Correctness of Simulation Results in the Absence of Experimental Validation Data

Guido Trensch, Robin Gutzen, Inga Blundell, Michael Denker, Abigail Morrison Read Full Article (External Site) Dr. David LowemannDr. David Lowemann, M.Sc, Ph.D., is a co-founder of the Institute for the Future of Human Potential, where he leads the charge in pioneering Self-Enhancement Science for the Success of Society. With a keen interest in exploring the […]

Published on November 26, 2018

Xolotl: An Intuitive and Approachable Neuron and Network Simulator for Research and Teaching

Srinivas Gorur-Shandilya, Alec Hoyland, Eve Marder Read Full Article (External Site) Dr. David LowemannDr. David Lowemann, M.Sc, Ph.D., is a co-founder of the Institute for the Future of Human Potential, where he leads the charge in pioneering Self-Enhancement Science for the Success of Society. With a keen interest in exploring the untapped potential of the […]

Published on November 26, 2018

Cortex Is Cortex: Ubiquitous Principles Drive Face-Domain Development

Powell, Kosakowski, and Saxe [1] argued in a recent review that two bottom-up models previously proposed to account for the development of face domains in inferotemporal cortex (IT) [2,3] are insufficient to explain the existing data. They proposed instead that face domains are predisposed to process faces via selective connectivity to social information in medial […]

Published on November 25, 2018