Towards a universal mechanism for successful deep learning von Meir, Yuval, Tzach, Yarden, Hodassman, Shiri, Tevet, Ofek, Kanter, Ido

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Power-law scaling to assist with key challenges in artificial intelligence von Meir, Yuval, Sardi, Shira, Hodassman, Shiri, Kisos, Karin, Ben-Noam, Itamar, Goldental, Amir, Kanter, Ido

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Learning on tree architectures outperforms a convolutional feedforward network von Meir, Yuval, Ben-Noam, Itamar, Tzach, Yarden, Hodassman, Shiri, Kanter, Ido

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Efficient shallow learning as an alternative to deep learning von Meir, Yuval, Tevet, Ofek, Tzach, Yarden, Hodassman, Shiri, Gross, Ronit D., Kanter, Ido

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Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms von Sardi, Shira, Vardi, Roni, Meir, Yuval, Tugendhaft, Yael, Hodassman, Shiri, Goldental, Amir, Kanter, Ido

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Enhancing the accuracies by performing pooling decisions adjacent to the output layer von Meir, Yuval, Tzach, Yarden, Gross, Ronit D., Tevet, Ofek, Vardi, Roni, Kanter, Ido

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Brain inspired neuronal silencing mechanism to enable reliable sequence identification von Hodassman, Shiri, Meir, Yuval, Kisos, Karin, Ben-Noam, Itamar, Tugendhaft, Yael, Goldental, Amir, Vardi, Roni, Kanter, Ido

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Publisher Correction: Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms von Sardi, Shira, Vardi, Roni, Meir, Yuval, Tugendhaft, Yael, Hodassman, Shiri, Goldental, Amir, Kanter, Ido

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A Secure Base for Entrepreneurship: Attachment Orientations and Entrepreneurial Tendencies von Segal, Sandra, Mikulincer, Mario, Hershkovitz, Lihi, Meir, Yuval, Nagar, Tamir, Maaravi, Yossi

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Role of delay in brain dynamics von Meir, Yuval, Tevet, Ofek, Tzach, Yarden, Hodassman, Shiri, Kanter, Ido

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Advanced confidence methods in deep learning von Meir, Yuval, Tevet, Ofek, Koresh, Ella, Tzach, Yarden, Kanter, Ido

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Efficient shallow learning mechanism as an alternative to deep learning von Tevet, Ofek, Gross, Ronit D., Hodassman, Shiri, Rogachevsky, Tal, Tzach, Yarden, Meir, Yuval, Kanter, Ido

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Scaling in Deep and Shallow Learning Architectures von Koresh, Ella, Halevi, Tal, Meir, Yuval, Dilmoney, Dolev, Dror, Tamar, Gross, Ronit, Tevet, Ofek, Hodassman, Shiri, Kanter, Ido

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Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms (vol 10, 6923, 2020) von Sardi, Shira, Vardi, Roni, Meir, Yuval, Tugendhaft, Yael, Hodassman, Shiri, Goldental, Amir, Kanter, Ido

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Prediction of recurrent heart failure hospitalizations and mortality using the echocardiographic Killip score von Granot, Yoav, Meir, Yuval, Perl, Michal Laufer, Milwidsky, Assi, Sadeh, Ben, Sapir, Orly Ran, Trabelsi, Adva, Banai, Shmuel, Toplisky, Yan, Havakuk, Ofer

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Dual energy CT in acute appendicitis: value of low mono-energy von Lev-Cohain, Naama, Sosna, Jacob, Meir, Yuval, Dar, Gili, Shussman, Noam, Leichter, Isaac, Caplan, Nadia, Goldberg, S. Nahum

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Role of Delay in Brain Dynamics von Meir, Yuval, Ofek Tevet, Yarden Tzach, Hodassman, Shiri, Kanter, Ido

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Towards a universal mechanism for successful deep learning von Meir, Yuval, Yarden Tzach, Hodassman, Shiri, Ofek Tevet, Kanter, Ido

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The mechanism underlying successful deep learning von Tzach, Yarden, Meir, Yuval, Tevet, Ofek, Gross, Ronit D, Hodassman, Shiri, Vardi, Roni, Kanter, Ido

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Learning on tree architectures outperforms a convolutional feedforward network von Meir, Yuval, Ben-Noam, Itamar, Yarden Tzach, Hodassman, Shiri, Kanter, Ido

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