1. |
- Curuklu, Baran, et al.
(författare)
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An Abstract Model of a Cortical Hypercolumn
- 2002
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Ingår i: ICONIP'02. - 9810475241 ; , s. 80-85
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- An abstract model of a cortical hypercolumn is presented. This model could replicate experimental findings relating to the orientation tuning mechanism in the primary visual cortex. Properties of the orientation selective cells in the primary visual cortex like, contrast-invariance and response saturation were demonstrated in simulations. We hypothesize that broadly tuned inhibition and local excitatory connections are sufficient for achieving this behavior. We have shown that the local intracortical connectivity of the model is to some extent biologically plausible.
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2. |
- Paplinski, Andrew, et al.
(författare)
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An attempt in modelling autism using self-organizing maps
- 2002
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Ingår i: ICONIP'O2. - Piscataway, NJ : IEEE Communications Society. - 9810475241 ; , s. 1815-1818
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Konferensbidrag (refereegranskat)abstract
- Autism is a developmental disorder in which attention shift impairment and strong familiarity preference are considered to be prime deficiencies. We model these two characteristics of autistic behaviour using Self-Organizing Maps (SOFM).
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3. |
- Rodrigues, Joachim, et al.
(författare)
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R-wave detection for pacemakers using a matched filter based on an artificial neural network
- 2002
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Ingår i: ICONIP '02. Proceedings of the 9th International Conference on Neural Information Processing. Computational Intelligence for the E-Age (IEEE Cat. No.02EX575). - 9810475241 ; , s. 2041-2045
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Konferensbidrag (refereegranskat)abstract
- A matched filter composed of a time lagged feedforward artificial neural Network (TLFN) and a pulse-shaping filter is used in a noisy environment to detect R-waves for pacemakers. The TLFN reduces the influence of lower frequencies in the invasive electrogram (EGM) signals, e.g. P and T waves, and conditions the EGM to optimize the performance of the dynamically updated matched filter. Detector performance is studied by means of databases containing electrograms as well as different types of noise and interferences, which are added to the signals. The results show that reliable detection can be obtained for relatively high noise levels
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