Edited by Xiao-Fan WangHuman embryonic stem cells progress through multiple stages in their path to neural differentiation, but the steps taken along the way are difficult to distinguish, limiting our understanding of this important process. Jing and colleagues (2) now report comprehensive analyses of transcriptome dynamics during this process that reveal five discrete stages, defined in part by highly connected transcription factor networks that link progressive stages. Surprisingly, the third stage, which appears to be critical for neural fate commitment, depends almost entirely on intracellular signaling.One of the major challenges in developmental biology is to explicitly define unique stages and dynamic transitions within the stem cell differentiation process. This is largely because, as Conrad Waddington famously depicted in his epigenetic landscape, gene expression changes and cellular identity appear to roll down a hill of differentiation instead of taking easily defined steps (1). However, just as a ramp may become a pixelated staircase when more details are defined, the field has begun to identify small, definable substages of differentiation by in-depth analysis of molecular landscapes (1). These landscapes are regulated by both intrinsic signals (i.e. molecular events originating within cells) and extrinsic signals (cues from the external niche that feed information to the cell). Defined substages therefore depend on a delicate balance of extrinsic and intrinsic signaling. In this issue, Jing and colleagues (2) explore this balance using RNA sequencing (RNA-seq) 3 to create a detailed blueprint of transcriptome dynamics during differentiation of human embryonic stem cells (hESCs) into the neural fate, and they identified five distinct stages throughout the process (2). These data provide compelling evidence that differentiation consists of multiple unique steps defined by both extrinsic and intrinsic signals.Among developmental processes, neurogenesis is particularly complicated due to its dynamic spatiotemporal progression, and errors in this intricate process could lead to developmental disorders such as autism or schizophrenia (3). Historically, rodents and amphibians were used to study brain development, but gaining a full picture of unique features of human brain development requires a more accurate human model. In particular, hESCs and induced pluripotent stem cells have provided a very useful platform to understand basic processes of human brain development and to manipulate specific genes to examine their functional roles. Previous work, including data from transcriptome analysis by RNA-seq, has created snapshots of the molecular state of the cell during hESC neural differentiation but only at a low resolution (4, 5).To obtain a systematic view of neural development with a high temporal resolution, Jing and colleagues (2) modified a published protocol for hESC neural differentiation (6), so they could analyze cells across several developmental stages en route to cortical projection neurons (F...