34 citations · 62 across the 10 of their papers we have counts for
4 papers · 1 filter
An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience
Elise Buckley, Joseph D. Monaco, Kevin M. Schultz +5
This article discusses how to create an interactive virtual training program at the intersection of neuroscience, robotics, and computer science for high school students. A four-da…
Building a Dynamical Network Model from Neural Spiking Data: Application of Poisson Likelihood
Ozgur Doruk, Kechen Zhang
Research showed that, the information transmitted in biological neurons is encoded in the instants of successive action potentials or their firing rate. In addition to that, in-viv…
Fitting of dynamic recurrent neural network models to sensory stimulus-response data
R. Ozgur Doruk, Kechen Zhang
We present a theoretical study aiming at model fitting for sensory neurons. Conventional neural network training approaches are not applicable to this problem due to lack of contin…
Adaptive stimulus design for dynamic recurrent neural network models
R. Ozgur Doruk, Kechen Zhang
We present a theoretical application of an optimal experiment design (OED) methodology to the development of mathematical models to describe the stimulus-response relationship of s…