LATIDIA · Investigación

Cómo las redes neuronales artificiales construyen su propia maquinaria de aprendizaje

Las redes de aprendizaje automático pueden aprender sin instrucciones detalladas de un diseñador. Aquellos que lo hacen pueden ofrecer una idea de cómo el cerebro se reorganiza durante el aprendizaje.

La noticia

As artificial intelligence becomes more and more powerful, its ability to handle human-like tasks is undeniable. Artificial neural networks can learn to recognize images, use language, or write computer code. Like the brain’s circuits, they reorganize themselves as they learn, adjusting the strengths of their connections to improve their performance. The question for many neuroscientists is: What can these machine systems teach them about how the brain learns? And what kinds of models are likely to be the most informative? In a paper published Oct. 9 in the journal PNAS , scientists at MIT’s McGovern Institute for Brain Research and K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center argue that