Machine learning algorithms used to decode and enhance human memory

Machine learning algorithms used to decode and enhance human memory

  • March 5, 2018
Table of Contents

Machine learning algorithms used to decode and enhance human memory

When it comes to brain measurements, the best recordings come from inside the cranium. But people—and institutional review boards—aren’t usually amenable to cracking open skulls in the name of science. So Kahana and his colleagues collaborated with 25 epilepsy patients, each of whom had between 100 and 200 electrodes implanted in their brain (to monitor seizure-related electrical activity).

Kahana and his team piggybacked on those implants, using the electrodes to record high-resolution brain activity during memory tasks.

Source: wired.com

Share :
comments powered by Disqus

Related Posts

Seeing the brain’s electrical activity

Seeing the brain’s electrical activity

MIT researchers have come up with a new way to measure electrical activity in the brain. Their new light-sensitive protein can be embedded into neuron membranes, where it emits a fluorescent signal that indicates how much voltage a particular cell is experiencing. This could allow scientists to study how neurons behave, millisecond by millisecond, as the brain performs a particular function.

Read More
Hacking the Brain with Adversarial Images

Hacking the Brain with Adversarial Images

This is an example of what’s called an adversarial image: an image specifically designed to fool neural networks into making an incorrect determination about what they’re looking at. Researchers at Google Brain decided to try and figure out whether the same techniques that fool artificial neural networks can also fool the biological neural networks inside of our heads, by developing adversarial images capable of making both computers and humans think that they’re looking at something they aren’t.

Read More