A long-sought milestone in microfluidics research has been the development of integrated
technology for scalable analysis of transcription in single cells. Here we present a fully …

Cells, even those having identical genotype, exhibit variability in their response to external
stimuli. This variability arises from differences in the abundance, localization, and state of …

Compositionality is a central component of the human faculty for generalization and flexibility.
However, the computations involved are poorly understood, especially in terms of their …

Structural modularity is a pervasive feature of biological neural networks, which have been
linked to several functional and computational advantages. Yet, the use of modular …

Rate-distortion theory has been used to model the relationship between the capacity of a
resource-limited agent and learning performance. However, most of these models define a …

Clonal populations of cells exhibit variability in gene expression despite genetic identity.
Single cell technologies have helped identify various sources of such variability. Intrinsic noise …

Data for this research was collected in a library method, in order to investigate the rules of
order and principles of literary in the poems of the Manichaeans in both parthian and sogdian …

In this paper we will discuss metalearning and how we can go beyond the current classical
learning paradigm. We will first address the importance of inductive biases in the learning …

In multicellular organisms one can find examples where a growing tissue divides up until
some final fixed cell number. Asymmetric division plays a prevalent feature in tissue …

Short Abstract—Single cell tracking, fluorescent measurements, and dynamic environmental
control produce experimental data highly suitable for systems level analysis of both natural …