57 citations · 73 across the 9 of their papers we have counts for
14 papers
Compression supports low-dimensional representations of behavior across neural circuits
Dale Zhou, Jason Z. Kim, Adam R. Pines +7
Dimensionality reduction, a form of compression, can simplify representations of information to increase efficiency and reveal general patterns. Yet, this simplification also forfe…
Curiosity as filling, compressing, and reconfiguring knowledge networks
Shubhankar P. Patankar, Dale Zhou, Christopher W. Lynn +6
Due to the significant role that curiosity plays in our lives, several theoretical constructs, such as the information gap theory and compression progress theory, have sought to ex…
A Neural Programming Language for the Reservoir Computer
Jason Z. Kim, Dani S. Bassett
From logical reasoning to mental simulation, biological and artificial neural systems possess an incredible capacity for computation. Such neural computers offer a fundamentally no…
Variability in higher order structure of noise added to weighted networks
Ann S. Blevins, Jason Z. Kim, Danielle S. Bassett
From spiking activity in neuronal networks to force chains in granular materials, the behavior of many real-world systems depends on a network of both strong and weak interactions.…
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example
Jason Z. Kim, Zhixin Lu, Erfan Nozari +2
The ability to store and manipulate information is a hallmark of computational systems. Whereas computers are carefully engineered to represent and perform mathematical operations…
Models of communication and control for brain networks: distinctions, convergence, and future outlook
Pragya Srivastava, Erfan Nozari, Jason Z. Kim +5
Recent advances in computational models of signal propagation and routing in the human brain have underscored the critical role of white matter structure. A complementary approach…