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Found 16 papers, 4 papers with code
Scale invariance in early embryonic development
The body plan of the fruit fly is determined by the expression of just a handful of genes.
Finding the last bits of positional information
In a developing embryo, information about the position of cells is encoded in the concentrations of "morphogen" molecules.
Long time scales, individual differences, and scale invariance in animal behavior
The explosion of data on animal behavior in more natural contexts highlights the fact that these behaviors exhibit correlations across many time scales.
How different are self and nonself?
Biological and artificial neural networks routinely make reliable distinctions between similar inputs, and the rules for making these distinctions are learned.
Compression as a path to simplification: Models of collective neural activity
Patterns of activity in networks of neurons are a prototypical complex system.
Transcription-dependent spatial organization of a gene locus
There is growing appreciation that gene function is connected to the dynamic structure of the chromosome.
Trading bits in the readout from a genetic network
We argue that cells in the embryo can extract all the available information about their position, but only if the concentration measurements approach the physical limits to information capacity.
Exploring a strongly non-Markovian animal behavior
A freely walking fly visits roughly 100 stereotyped states in a strongly non-Markovian sequence.
Information costs in the control of protein synthesis
Efficient protein synthesis depends on the availability of charged tRNA molecules.
Action at a distance in transcriptional regulation
There is increasing evidence that protein binding to specific sites along DNA can activate the reading out of genetic information without coming into direct physical contact with the gene.
Mapping the stereotyped behaviour of freely-moving fruit flies
Most animals possess the ability to actuate a vast diversity of movements, ostensibly constrained only by morphology and physics.
Are biological systems poised at criticality?
Many of life's most fascinating phenomena emerge from interactions among many elements--many amino acids determine the structure of a single protein, many genes determine the fate of a cell, many neurons are involved in shaping our thoughts and memories.
Efficient representation as a design principle for neural coding and computation
Does the brain construct an efficient representation of the sensory world?
Faster solutions of the inverse pairwise Ising problem
Recent work has shown that probabilistic models based on pairwise interactions-in the simplest case, the Ising model-provide surprisingly accurate descriptions of experiments on real biological networks ranging from neurons to genes.
Entropy and inference, revisited
We study properties of popular near-uniform (Dirichlet) priors for learning undersampled probability distributions on discrete nonmetric spaces and show that they lead to disastrous results.
Data Analysis, Statistics and Probability
The information bottleneck method
We define the relevant information in a signal $x\in X$ as being the information that this signal provides about another signal $y\in \Y$.
