A few interesting papers andposters at the Neuromatch 4 Conference (held in December 2021), with topics at the intersection of Neuroscience and AI. In the first talk by authors Ilena Jones and Konrad Kording, dendritic processes (forming a tree-like structure) are used to solve machine learning tasks as opposed to simple connection weights. It's interesting to see how modelling dendrites and synapses with constraints can solve machine learning tasks. In this paper, authors Eric Elmoznino and Michael Bonner discuss how scaling the manifold dimensionality increases the performance for vision related tasks, as opposed to various theories that the brain tries to represent information in a really compressed format. NeuralNLP is an improvement over NeuralNLP which uses rule-based NLP methods for searching various queries related to Fruit Fly Brain.