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Found 6 papers, 4 papers with code
Compression supports low-dimensional representations of behavior across neural circuits
Using a large sample of youth ($n=1, 040$), we test predictions in two ways: by measuring the dimensionality of spontaneous activity from sensorimotor to association cortex, and by assessing the representational capacity for 24 behaviors in neural circuits and 20 cognitive variables in recurrent neural networks.
Curiosity as filling, compressing, and reconfiguring knowledge networks
We formalize curiosity as the process of building a growing knowledge network to quantitatively investigate information gap theory, compression progress theory, and the conformational change theory of curiosity.
The information content of brain states is explained by structural constraints on state energetics
These activity patterns define global brain states and contain information in accordance with their expected probability of occurrence.
The network structure of scientific revolutions
Philosophers of science have long postulated how collective scientific knowledge grows.
Digital Libraries History and Philosophy of Physics
The growth and form of knowledge networks by kinesthetic curiosity
The practice of curiosity can be viewed as an extended and open-ended search for valuable information with hidden identity and location in a complex space of interconnected information.
Efficient Coding in the Economics of Human Brain Connectomics
In doing so, we introduce the metric of compression efficiency, which quantifies the trade-off between lossy compression and transmission fidelity in structural networks.
