Emergence of Position-Independent Detectors of Sense of Rotation and Dilation with Hebbian Learning: An Analysis
| العنوان: | Emergence of Position-Independent Detectors of Sense of Rotation and Dilation with Hebbian Learning: An Analysis |
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| المؤلفون: | Martin I. Sereno, Margaret E. Sereno, Kechen Zhang |
| المصدر: | Neural Computation. 5:597-612 |
| بيانات النشر: | MIT Press - Journals, 1993. |
| سنة النشر: | 1993 |
| مصطلحات موضوعية: | Hebbian theory, Arts and Humanities (miscellaneous), Artificial neural network, Cognitive Neuroscience, Superior temporal area, Detector, Mathematical analysis, Translational velocity, Dilation (morphology), Algorithm, Mathematics |
| الوصف: | We previously demonstrated that it is possible to learn position-independent responses to rotation and dilation by filtering rotations and dilations with different centers through an input layer with MT-like speed and direction tuning curves and connecting them to an MST-like layer with simple Hebbian synapses (Sereno and Sereno 1991). By analyzing an idealized version of the network with broader, sinusoidal direction-tuning and linear speed-tuning, we show analytically that a Hebb rule trained with arbitrary rotation, dilation/contraction, and translation velocity fields yields units with weight fields that are a rotation plus a dilation or contraction field, and whose responses to a rotating or dilating/contracting disk are exactly position independent. Differences between the performance of this idealized model and our original model (and real MST neurons) are discussed. |
| تدمد: | 1530-888X 0899-7667 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::5a0d90f0dd74b380a81d64d6d142f2b1Test https://doi.org/10.1162/neco.1993.5.4.597Test |
| رقم الانضمام: | edsair.doi...........5a0d90f0dd74b380a81d64d6d142f2b1 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1530888X 08997667 |
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