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Towards cortex sized artificial nervous systems
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
2004 (English)In: KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS / [ed] Negoita, MG; Howlett, RJ; Jain, LC, BERLIN: SPRINGER , 2004, Vol. 3213, 959-966 p.Conference paper (Refereed)
Abstract [en]

We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical structure onto a Bayesian confidence propagating neural network (BCPNN). An architectural structure for the implementation of the BCPNN based on hypercolumnar modules is suggested. The bandwidth, memory, and computational demands for real-time operation of the system are calculated and simulated. It is concluded that the limiting factor is the computational and not the communication requirements.

Place, publisher, year, edition, pages
BERLIN: SPRINGER , 2004. Vol. 3213, 959-966 p.
Keyword [en]
cortical associative memory, cerebral-cortex, neocortex, neurons, network, architecture, dynamics, synapses, columns
National Category
Computer Science
URN: urn:nbn:se:kth:diva-43965ISI: 000224585300129ScopusID: 2-s2.0-35048860860ISBN: 3-540-23318-0OAI: diva2:450969
8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems. Wellington Inst Technol, Wellington, NEW ZEALAND. SEP, 2004

QC 20111024

Available from: 2011-10-24 Created: 2011-10-19 Last updated: 2015-09-21Bibliographically approved

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