On the Complexity of Training a Single Perceptron with Programmable Synaptic Delays.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F03%3A06030045" target="_blank" >RIV/67985807:_____/03:06030045 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
On the Complexity of Training a Single Perceptron with Programmable Synaptic Delays.
Original language description
We consider a single perceptron N with synaptic delays which generalizes a simplified model for a spiking neuron where not only the time that a pulse needs to travel through a synapse is taken into account but also the input firing rates may have more different levels. A synchronization technique is introduced so that the results concerning the learnability of spiking neurons with binary delays also apply to N with arbitrary delays. In particular, the consistency problem for N with programmable delays and..
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LN00A056" target="_blank" >LN00A056: Institute of Theoretical Computer Science (Center of Young Science)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Algorithmic Learning Theory.
ISBN
3-540-20291-9
ISSN
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e-ISSN
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Number of pages
13
Pages from-to
221-233
Publisher name
Springer
Place of publication
Berlin
Event location
Sapporo [JP]
Event date
Oct 17, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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