Jelmer P. Borst, Sean Aubin, and Terrence C. Stewart. Effective computing in the brain: a whole-task spiking neural network model of associative recognition. In Cognitive Computing 2018. Philadelphia, Pennsylvania, 2018. Cognitive Computing. URL: https://drive.google.com/file/d/1xiwFjdDcHZDQg84qaoe0zpxEQE73lQYQ/view.
@inproceedings{aubin2018a,
address = "Philadelphia, Pennsylvania",
title = "Effective Computing in the Brain: A Whole-Task Spiking Neural Network Model of Associative Recognition",
booktitle = "Cognitive Computing 2018",
publisher = "Cognitive Computing",
year = "2018",
abstract = {We present a whole-task spiking neural network model of associative recognition, developed in the Nengo framework. Because the resulting model is very complex (>750,000 neurons) we used magnetoencephalographic (MEG) data to constrain the model. The model matches data in occipital, temporal, prefrontal, and motor cortices, and shows how the associative recognition process could be effectively implemented in the human brain.},
url = "https://drive.google.com/file/d/1xiwFjdDcHZDQg84qaoe0zpxEQE73lQYQ/view",
author = "Jelmer P. Borst and Sean Aubin and Terrence C. Stewart",
}