papers AI Learner
The Github is limit! Click to go to the new site.

Persistent memories in transient networks

2016-01-31
Andrey Babichev, Yuri Dabaghian

Abstract

Spatial awareness in mammals is based on an internalized representation of the environment, encoded by large networks of spiking neurons. While such representations can last for a long time, the underlying neuronal network is transient: neuronal cells die every day, synaptic connections appear and disappear, the networks constantly change their architecture due to various forms of synaptic and structural plasticity. How can a network with a dynamic architecture encode a stable map of space? We address this question using a physiological model of a “flickering” neuronal network and demonstrate that it can maintain a robust topological representation of space.

Abstract (translated by Google)
URL

https://arxiv.org/abs/1602.00681

PDF

https://arxiv.org/pdf/1602.00681


Similar Posts

下一篇 Internet of Drones

Comments