Matches in SemOpenAlex for { <https://semopenalex.org/work/W2131226145> ?p ?o ?g. }
- W2131226145 endingPage "1111" @default.
- W2131226145 startingPage "1100" @default.
- W2131226145 abstract "This paper considers a space of possible temporal codes, surveys neurophysiological and psychological evidence for their use in nervous systems, and presents examples of neural timing networks that operate in the time-domain. Sensory qualities can be encoded temporally by means of two broad strategies: stimulus-driven temporal correlations (phase-locking) and stimulus-triggering of endogenous temporal response patterns. Evidence for stimulus-related spike timing patterns exists in nearly every sensory modality, and such information can be potentially utilized for representation of stimulus qualities, localization of sources, and perceptual grouping. Multiple strategies for temporal (time, frequency, and code-division) multiplexing of information for transmission and grouping are outlined. Using delays and multiplications (coincidences), neural timing networks perform time-domain signal processing operations to compare, extract and separate temporal patterns. Separation of synthetic double vowels by a recurrent neural timing network is used to illustrate how coherences in temporal fine structure can be exploited to build up and separate periodic signals with different fundamentals. Timing nets constitute a time-domain scene analysis strategy based on temporal pattern invariance rather than feature-based labeling, segregation and binding of channels. Further potential implications of temporal codes and computations for new kinds of neural networks are explored." @default.
- W2131226145 created "2016-06-24" @default.
- W2131226145 creator A5076187633 @default.
- W2131226145 date "2004-09-01" @default.
- W2131226145 modified "2023-09-23" @default.
- W2131226145 title "Temporal Codes and Computations for Sensory Representation and Scene Analysis" @default.
- W2131226145 cites W104920971 @default.
- W2131226145 cites W119376765 @default.
- W2131226145 cites W1492159364 @default.
- W2131226145 cites W1540681898 @default.
- W2131226145 cites W1594210692 @default.
- W2131226145 cites W1597236942 @default.
- W2131226145 cites W1597295899 @default.
- W2131226145 cites W1728219059 @default.
- W2131226145 cites W1783320628 @default.
- W2131226145 cites W1843946745 @default.
- W2131226145 cites W1853558589 @default.
- W2131226145 cites W185579695 @default.
- W2131226145 cites W1934472280 @default.
- W2131226145 cites W1963860447 @default.
- W2131226145 cites W1966948181 @default.
- W2131226145 cites W1967179842 @default.
- W2131226145 cites W1976232477 @default.
- W2131226145 cites W1984931175 @default.
- W2131226145 cites W1988843280 @default.
- W2131226145 cites W1991941052 @default.
- W2131226145 cites W2002298833 @default.
- W2131226145 cites W2015255075 @default.
- W2131226145 cites W2020594980 @default.
- W2131226145 cites W2022145775 @default.
- W2131226145 cites W2027468870 @default.
- W2131226145 cites W2030753578 @default.
- W2131226145 cites W2040551056 @default.
- W2131226145 cites W2043694038 @default.
- W2131226145 cites W2050551343 @default.
- W2131226145 cites W2058491602 @default.
- W2131226145 cites W2060539877 @default.
- W2131226145 cites W2063609492 @default.
- W2131226145 cites W2066877541 @default.
- W2131226145 cites W2066905947 @default.
- W2131226145 cites W2070478425 @default.
- W2131226145 cites W2075231103 @default.
- W2131226145 cites W2081443570 @default.
- W2131226145 cites W2082790466 @default.
- W2131226145 cites W2084855522 @default.
- W2131226145 cites W2097191389 @default.
- W2131226145 cites W2104052038 @default.
- W2131226145 cites W2106296567 @default.
- W2131226145 cites W2109584604 @default.
- W2131226145 cites W2120475512 @default.
- W2131226145 cites W2122341452 @default.
- W2131226145 cites W2138048651 @default.
- W2131226145 cites W2138698020 @default.
- W2131226145 cites W2142057605 @default.
- W2131226145 cites W2149991070 @default.
- W2131226145 cites W2156571346 @default.
- W2131226145 cites W2159353177 @default.
- W2131226145 cites W2164006972 @default.
- W2131226145 cites W2164255733 @default.
- W2131226145 cites W2166037666 @default.
- W2131226145 cites W2167725420 @default.
- W2131226145 cites W2168213284 @default.
- W2131226145 cites W2168282601 @default.
- W2131226145 cites W2172000772 @default.
- W2131226145 cites W2173076039 @default.
- W2131226145 cites W2290046961 @default.
- W2131226145 cites W2292832199 @default.
- W2131226145 cites W2335319717 @default.
- W2131226145 cites W2416019460 @default.
- W2131226145 cites W2416573875 @default.
- W2131226145 cites W2752347837 @default.
- W2131226145 cites W2949305633 @default.
- W2131226145 cites W2991066784 @default.
- W2131226145 cites W3023341514 @default.
- W2131226145 cites W4214817505 @default.
- W2131226145 cites W4240799956 @default.
- W2131226145 cites W4256399001 @default.
- W2131226145 cites W59450752 @default.
- W2131226145 cites W983047183 @default.
- W2131226145 cites W2501344918 @default.
- W2131226145 doi "https://doi.org/10.1109/tnn.2004.833305" @default.
- W2131226145 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15484887" @default.
- W2131226145 hasPublicationYear "2004" @default.
- W2131226145 type Work @default.
- W2131226145 sameAs 2131226145 @default.
- W2131226145 citedByCount "48" @default.
- W2131226145 countsByYear W21312261452012 @default.
- W2131226145 countsByYear W21312261452013 @default.
- W2131226145 countsByYear W21312261452015 @default.
- W2131226145 countsByYear W21312261452016 @default.
- W2131226145 countsByYear W21312261452018 @default.
- W2131226145 countsByYear W21312261452019 @default.
- W2131226145 countsByYear W21312261452020 @default.
- W2131226145 countsByYear W21312261452021 @default.
- W2131226145 countsByYear W21312261452022 @default.
- W2131226145 countsByYear W21312261452023 @default.
- W2131226145 crossrefType "journal-article" @default.
- W2131226145 hasAuthorship W2131226145A5076187633 @default.