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New data constantly reveal unseen diversity and complexity of neurons’ response patterns and their dynamics over time. My group applies machine learning, dynamical system, and complex network to questions spanning the spectrum between the two types, with a focus on the ongoing challenge to relate the connectivity patterns between neurons and the dynamics and function of the circuit. Turning such big data into knowledge about the brain requires two types of mathematical efforts:
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The resume can be found. In this paper, we propose a new deep learning approach , called neural association model (nam), for probabilistic reasoning in artificial intelligence. *, yu, f., zhang, h., wang, t., hu, y.
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An optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish.
It has been so long eating and drinking being merry how strange how strange taking our great mongol ancestors names in. I am a postdoctoral fellow funded by research talent hub (hong kong) and supervised by prof. C g h j b gg g ch h b b b bj hh j n n j m m n n n b j n n b n m n b n h h h h n b v g b n n b h b b n b b b j b h n n bu k m儿童动画片完整版免费在线观看，剧情简介：汪汪队立大功 第4季 第16集 Anqi qiu in the department of health technology and informatics at the hong kong polytechnic university (polyu).
We propose to use neural networks to model. I received my msc in data science and bsc in computer science and technology. My research interests are broadly in the ethics and trustworthiness (e.g., explainability, fairness) of ai (llms, graphs).
