BioSpaun: A large-scale behaving brain model with complex neurons

Autor:	Eliasmith, Chris, Gosmann, Jan, Choo, Xuan
Rok vydání:	2016
Předmět:	Quantitative Biology - Neurons and Cognition Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	We describe a large-scale functional brain model that includes detailed, conductance-based, compartmental models of individual neurons. We call the model BioSpaun, to indicate the increased biological plausibility of these neurons, and because it is a direct extension of the Spaun model \cite{Eliasmith2012b}. We demonstrate that including these detailed compartmental models does not adversely affect performance across a variety of tasks, including digit recognition, serial working memory, and counting. We then explore the effects of applying TTX, a sodium channel blocking drug, to the model. We characterize the behavioral changes that result from this molecular level intervention. We believe this is the first demonstration of a large-scale brain model that clearly links low-level molecular interventions and high-level behavior. Comment: 17 pages 7 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1602.05220 Zobrazit plný text záznamu View this record from Arxiv