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- Cürüklü, BaranMälardalens högskola,Institutionen för datavetenskap och elektronik (author)
A model of the summation pools within the layer 4 (area 17)
- Article/chapterEnglish2005
Publisher, publication year, extent ...
- Elsevier BV,2005
- printrdacarrier
Numbers
- LIBRIS-ID:oai:DiVA.org:kth-14811
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-14811URI
- https://doi.org/10.1016/j.neucom.2004.10.004DOI
- https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-4149URI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- QC 20100525 QC 20111011
- We propose a developmental model of the summation pools within the layer 4. The model is based on the modular structure of the neocortex and captures some of the known properties of layer 4. Connections between the orientation minicolumns are developed during exposure to visual input. Excitatory local connections are dense and biased towards the iso-orientation domain. Excitatory long-range connections are sparse and target all orientation domains equally. Inhibition is local. The summation pools are elongated along the orientation axis. These summation pools can facilitate weak and poorly tuned LGN input and explain improved visibility as an effect of enlargement of a stimulus.
Subject headings and genre
- NATURVETENSKAP Data- och informationsvetenskap Bioinformatik hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Bioinformatics hsv//eng
- NATURVETENSKAP Data- och informationsvetenskap Datavetenskap hsv//swe
- NATURAL SCIENCES Computer and Information Sciences Computer Sciences hsv//eng
- visual cortex
- summation pools
- horizontal connections
- response facilitation
- Bayesian confidence propagation neural network
- cat visual-cortex
- simple cells
- functional architecture
- input
Added entries (persons, corporate bodies, meetings, titles ...)
- Lansner, AndersKTH,Numerisk Analys och Datalogi, NADA,Royal Institute of Technology, Sweden(Swepub:kth)u12s8cr8 (author)
- Mälardalens högskolaInstitutionen för datavetenskap och elektronik (creator_code:org_t)
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- In:Neurocomputing: Elsevier BV65, s. 167-1720925-23121872-8286
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