# K. Lisa Yang ICoN Center

Published articles for K. Lisa Yang ICoN Center.

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## How artificial neural networks build their own learning machinery

DevFeed: [How artificial neural networks build their own learning machinery](<https://devfeed.tech/articles/how-artificial-neural-networks-build-their-own-learning-machinery-86283.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/how-artificial-neural-networks-build-their-own-learning-machinery-1013>)

Author: Jennifer Michalowski | McGovern Institute for Brain Research

Published: 2026-10-13T21:00:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [ai-image-generator](<https://devfeed.tech/topics/ai-image-generator.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [ai-self-learning](<https://devfeed.tech/tags/ai-self-learning.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [artificial-learning](<https://devfeed.tech/tags/artificial-learning.md>), [artificial-neural-networks](<https://devfeed.tech/tags/artificial-neural-networks.md>), [backpropagation](<https://devfeed.tech/tags/backpropagation.md>), [brain-and-cognitive-sciences](<https://devfeed.tech/tags/brain-and-cognitive-sciences.md>), [gradient-descent](<https://devfeed.tech/tags/gradient-descent.md>), [health-sciences-and-technology](<https://devfeed.tech/tags/health-sciences-and-technology.md>), [k-lisa-yang-icon-center](<https://devfeed.tech/tags/k-lisa-yang-icon-center.md>), [learning](<https://devfeed.tech/tags/learning.md>), [liu-ziyin](<https://devfeed.tech/tags/liu-ziyin.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mark-harnett](<https://devfeed.tech/tags/mark-harnett.md>), [mcgovern-institute](<https://devfeed.tech/tags/mcgovern-institute.md>), [mit-mcgovern-institute](<https://devfeed.tech/tags/mit-mcgovern-institute.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [neuroscience](<https://devfeed.tech/tags/neuroscience.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-science](<https://devfeed.tech/tags/school-of-science.md>), [self-organizing](<https://devfeed.tech/tags/self-organizing.md>), [tomaso-poggio](<https://devfeed.tech/tags/tomaso-poggio.md>)

### AI overview

Researchers describe an artificial neural network that organizes itself and learns to recognize patterns and classify images from simple rules governing connections. The network performed at a similar level to designed networks, and the researchers suggest that studying such systems could inform neuroscience and, eventually, machine learning.

### Source excerpt

Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.