A strong winner-take-all neural network in analogue hardware

Möller R, Maris M, Tomes J, Mojaev A (1998)
In: Neuromorphic Systems: Engineering Silicon from Neurobiology. Smith LS, Hamilton A (Eds); World Scientific: 178-190.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Autor*in
Möller, RalfUniBi ; Maris, Marinus; Tomes, Jörg; Mojaev, Alexander
Herausgeber*in
Smith, L.S.; Hamilton, A.
Erscheinungsjahr
1998
Titel des Konferenzbandes
Neuromorphic Systems: Engineering Silicon from Neurobiology
Seite(n)
178-190
Page URI
https://pub.uni-bielefeld.de/record/1937065

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Möller R, Maris M, Tomes J, Mojaev A. A strong winner-take-all neural network in analogue hardware. In: Smith LS, Hamilton A, eds. Neuromorphic Systems: Engineering Silicon from Neurobiology. World Scientific; 1998: 178-190.
Möller, R., Maris, M., Tomes, J., & Mojaev, A. (1998). A strong winner-take-all neural network in analogue hardware. In L. S. Smith & A. Hamilton (Eds.), Neuromorphic Systems: Engineering Silicon from Neurobiology (pp. 178-190). World Scientific.
Möller, R., Maris, M., Tomes, J., and Mojaev, A. (1998). “A strong winner-take-all neural network in analogue hardware” in Neuromorphic Systems: Engineering Silicon from Neurobiology, Smith, L. S., and Hamilton, A. eds. (World Scientific), 178-190.
Möller, R., et al., 1998. A strong winner-take-all neural network in analogue hardware. In L. S. Smith & A. Hamilton, eds. Neuromorphic Systems: Engineering Silicon from Neurobiology. World Scientific, pp. 178-190.
R. Möller, et al., “A strong winner-take-all neural network in analogue hardware”, Neuromorphic Systems: Engineering Silicon from Neurobiology, L.S. Smith and A. Hamilton, eds., World Scientific, 1998, pp.178-190.
Möller, R., Maris, M., Tomes, J., Mojaev, A.: A strong winner-take-all neural network in analogue hardware. In: Smith, L.S. and Hamilton, A. (eds.) Neuromorphic Systems: Engineering Silicon from Neurobiology. p. 178-190. World Scientific (1998).
Möller, Ralf, Maris, Marinus, Tomes, Jörg, and Mojaev, Alexander. “A strong winner-take-all neural network in analogue hardware”. Neuromorphic Systems: Engineering Silicon from Neurobiology. Ed. L.S. Smith and A. Hamilton. World Scientific, 1998. 178-190.

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