Why Build a Virtual Brain? Large-Scale Neural Simulations as Jump Start for Cognitive Computing.

Download Edit this record How to cite View on PhilPapers
Abstract
Despite the impressive amount of financial resources recently invested in carrying out large-scale brain simulations, it is controversial what the pay-offs are of pursuing this project. One idea is that from designing, building, and running a large-scale neural simulation, scientists acquire knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. It has been claimed that this knowledge may usher in a new era of neuromorphic, cognitive computing systems. This study elucidates this claim and argues that the main challenge this era is facing is not the lack of biological realism. The challenge lies in identifying general neurocomputational principles for the design of artificial systems, which could display the robust flexibility characteristic of biological intelligence.
PhilPapers/Archive ID
COLWBA-2
Upload history
First archival date: 2016-03-11
Latest version: 1 (2016-03-11)
View other versions
Added to PP index
2016-03-11

Total views
616 ( #9,684 of 2,454,396 )

Recent downloads (6 months)
27 ( #26,146 of 2,454,396 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.