Topic: ngn2 neurons

Artificial intelligence (AI) has proven to be effective in solving complex problems in fields such as computer vision, natural language processing and medicine. However, in terms of energy efficiency, deep learning approaches are still outmatched by their biological counterparts. Yet, the underlying fundamental mechanisms of information storage, processing and computation of biological neuronal networks (BNNs) remain poorly understood.In bottom-up neuroscience, we tackle this challenge by analyzing low-density, engineered BNNs in vitro. Primary hippocampal rat neurons or human induced pluripot

Astrocytes and neurons collaboratively shape neural networks, influencing metabolism, synapse formation, and network dynamics. Dysfunctions in either cell type are implicated in diverse brain disorders. In order to gain insight into the transcriptional profile of hiPSC-derived astrocytes and neurons, we performed scRNA analysis and compared astrocytes and neurons before and after co-culture.Sequencing with Illumina Novaseq6000, preprocessing with 10x Genomics CellRanger. Custom R/Seurat pipeline for data analysis.NGN2 neurons were identified as excitatory. Within the astrocyte population we ob