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3. Credit Assignment in Neural Networks through Deep Feedback Control

Author

Meulemans, Alexander, Farinha, Matilde Tristany, Ordóñez, Javier García, Aceituno, Pau Vilimelis, Sacramento, João, and Grewe, Benjamin F.

Subjects
Computer Science - Machine Learning, 68T07, I.2.6
Abstract

The success of deep learning sparked interest in whether the brain learns by using similar techniques for assigning credit to each synaptic weight for its contribution to the network output. However, the majority of current attempts at biologically-plausible learning methods are either non-local in time, require highly specific connectivity motives, or have no clear link to any known mathematical optimization method. Here, we introduce Deep Feedback Control (DFC), a new learning method that uses a feedback controller to drive a deep neural network to match a desired output target and whose control signal can be used for credit assignment. The resulting learning rule is fully local in space and time and approximates Gauss-Newton optimization for a wide range of feedback connectivity patterns. To further underline its biological plausibility, we relate DFC to a multi-compartment model of cortical pyramidal neurons with a local voltage-dependent synaptic plasticity rule, consistent with recent theories of dendritic processing. By combining dynamical system theory with mathematical optimization theory, we provide a strong theoretical foundation for DFC that we corroborate with detailed results on toy experiments and standard computer-vision benchmarks., Comment: 14 pages and 4 figures in the main manuscript; 49 pages and 15 figures in the supplementary materials

Published
2021

22. Computer Assisted Assignment of ICD Codes for Primary Admission Diagnostic in ICUs

Author

Quiazúa, Giovanny, Rojas, Carlos, Ordoñez, Javier, Martinez, Darwin, Enciso-Olivera, César, Gómez, Francisco, Diniz Junqueira Barbosa, Simone, Series editor, Chen, Phoebe, Series editor, Du, Xiaoyong, Series editor, Filipe, Joaquim, Series editor, Kotenko, Igor, Series editor, Liu, Ting, Series editor, Sivalingam, Krishna M., Series editor, Washio, Takashi, Series editor, Solano, Andrés, editor, and Ordoñez, Hugo, editor

Published
2017
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43. 1. Las competencias emocionales en la titulación de Contaduría Pública, un análisis correlacional.

Author

Amorocho, Alejandro Acevedo, Ordoñez, Javier Alexander Román, Vega, Valentina Celis, and Chía, María Ana Martina

Subjects
EMOTION regulation, SOCIAL skills, ADULT development, GOVERNMENT accounting, EMOTIONAL competence, EMOTIONAL intelligence
Abstract

Copyright of Revista Hojas y Hablas is the property of Fundacion Universitaria Monserrate - Unimonserrate and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2022

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