Device Mismatch in a Neuromorphic System Implements Random Features for Regression

Richter O, Reinhart F, Nease S, Steil JJ, Chicca E (2015)
In: Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. Piscataway, NJ: IEEE: 1-4.

Konferenzbeitrag | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
We use a large-scale analog neuromorphic system to encode the hidden-layer activations of a single-layer feed forward network with random weights. The random activations of the network are implemented using the device mismatch inherent to analog circuits. We show that these activations produced by analog VLSI implementations of integrate and fire neurons are suited to solve multi dimensional, non linear regression tasks. Exploitation of the device mismatch eliminates the storage requirements for the random network weights.
Stichworte
Computer architecture; Feeds; Function approximation; Hardware; Neuromorphics; Neurons; Standards; Extreme Learning Machine; Feed Forward Neural Networks With Random Weights; Neuromorphic; aVLSI; device mismatch
Erscheinungsjahr
2015
Titel des Konferenzbandes
Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE
Seite(n)
1-4
Konferenz
Biomedical Circuits and Systems Conference (BIOCAS)
Konferenzort
Atlanta, GA, USA
Konferenzdatum
2015-10-22 – 2015-10-24
eISBN
978-1-4799-7234-0
Page URI
https://pub.uni-bielefeld.de/record/2767039

Zitieren

Richter O, Reinhart F, Nease S, Steil JJ, Chicca E. Device Mismatch in a Neuromorphic System Implements Random Features for Regression. In: Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. Piscataway, NJ: IEEE; 2015: 1-4.
Richter, O., Reinhart, F., Nease, S., Steil, J. J., & Chicca, E. (2015). Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE, 1-4. Piscataway, NJ: IEEE. doi:10.1109/BioCAS.2015.7348416
Richter, O., Reinhart, F., Nease, S., Steil, J. J., and Chicca, E. (2015). “Device Mismatch in a Neuromorphic System Implements Random Features for Regression” in Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE (Piscataway, NJ: IEEE), 1-4.
Richter, O., et al., 2015. Device Mismatch in a Neuromorphic System Implements Random Features for Regression. In Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. Piscataway, NJ: IEEE, pp. 1-4.
O. Richter, et al., “Device Mismatch in a Neuromorphic System Implements Random Features for Regression”, Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE, Piscataway, NJ: IEEE, 2015, pp.1-4.
Richter, O., Reinhart, F., Nease, S., Steil, J.J., Chicca, E.: Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. p. 1-4. IEEE, Piscataway, NJ (2015).
Richter, Ole, Reinhart, Felix, Nease, Stephen, Steil, Jochen J., and Chicca, Elisabetta. “Device Mismatch in a Neuromorphic System Implements Random Features for Regression”. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. Piscataway, NJ: IEEE, 2015. 1-4.
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Preliminary Version, Final Version published on IEEE Xplore http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7348416
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OA Open Access
Zuletzt Hochgeladen
2019-09-06T09:18:33Z
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33b167055c0e2a947dda210909b8fb8e
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Richter_etal15.pdf 1.18 MB
Access Level
Restricted Closed Access
Zuletzt Hochgeladen
2019-09-06T09:18:33Z
MD5 Prüfsumme
454acbf28463347e3d1487f0090e2e9e

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