In this tech blog, I aim to share the following information:
- Why is it hard to understand the human brain
- What are some of the neuroscience-related research efforts in NeurIPS 2020
The brain is a very complex organ that acts as the control system of our body. It can process a large amount of information in such a short time. It even inspired many modern AI methods that we know now due to its seamless ability to learn and adapt to new environments. While the brain is a fascinating organ, it is also a challenge to fully understand. There are different methods to measure brain activity (e.g. fMRI, EEG). Understanding these data can help to differentiate various mental states of humans and also detect patterns of neurological disorders. However, analyzing these data is difficult due to the noise and variance of brain signals and information from different people.
Currently, there are many efforts in AI and neuroscience that attempt to decode the brain. In this blog, let’s look at some of the research papers from one of the top machine learning and computational neuroscience conference, Neural Information Processing Systems (NeurIPS).
NeurIPS is one of the most prestigious AI conferences. This year, the conference was held virtually from Dec 6th to Dec 12th. They feature peer-reviewed novel AI and computational neuroscience researches.