Astrocyte를 반영한 AI 모델을 통하여 로봇 움직임 제어

An astrocyte is a different type of brain cell that has recently been found to do a lot more than merely fill up spaces between neurons, as researchers believed for over a century. Studies are finding that these cells also play key roles in brain functions, including learning and central pattern generation (CPG), which is the basis for critical rhythmic behaviors such as breathing and walking.

Although astrocytes are now known to underlie numerous brain functions, most existing computer systems inspired by the human brain only target the structure and function of neurons. Aware of this gap in existing literature, researchers at Rutgers University are developing brain-inspired algorithms that also account for and replicate the functions of astrocytes.

"Everything that artificial neural nets do, and they do a lot these days, is based on the neurocomputing dogma that 'brain equals neurons,'" 

"Astrocytes are two to 10 times more plentiful than neurons. The impact of understanding or mimicking what more of half the brain is doing is enormous."

Notably, they are the first to look at artificial intelligence (AI) development from a perspective that does not consider neurons as the only processing unit in the brain, but instead introducing astrocytes in neural networks as a second processing unit. their CPG's structure and functioning differs greatly from mainstream learning algorithms, which focus only on neurons and do not take full advantage of current knowledge about how the brain works.

 

현재의 AI는 Brain=Neuron Model을 기반하고 있다. 그러나 실제로 뇌는 neuron만큼 Astrocyte도 중요하다는 것을 최근 연구를 통하여 알수 있는데, 이것을 반영하여 만든 프로그램을 가지고 로봇의 움직임을 조절했다고 한다. 

뭔 내용인지는 논문을 봐야 알 듯하다. 

 

reference

Polykretis et al., An astrocyte-modulated neuromorphic central pattern generator for hexapod robot locomotion on Intel's Loihi. arXiv:2006.04765 [cs.NE]. arxiv.org/abs/2006.04765