154 citations · 491 across the 18 of their papers we have counts for
19 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…
Excitation and inhibition imbalance affects dynamical complexity through symmetries
Mathieu Ouellet, Jason Z. Kim, Harmange Guillaume +3
From the perfect radial symmetries of radiolarian mineral skeletons to the broken symmetry of homochirality, the logic of Nature's regularities has fascinated scientists for centur…
Citation inequity and gendered citation practices in contemporary physics
Erin G. Teich, Jason Z. Kim, Christopher W. Lynn +8
The historical and contemporary under-attribution of women's contributions to scientific scholarship is well-known and well-studied, with effects that are felt today in myriad ways…
Learning Continuous Chaotic Attractors with a Reservoir Computer
Lindsay M. Smith, Jason Z. Kim, Zhixin Lu +1
Neural systems are well known for their ability to learn and store information as memories. Even more impressive is their ability to abstract these memories to create complex inter…
The information content of brain states is explained by structural constraints on state energetics
Leon Weninger, Pragya Srivastava, Dale Zhou +6
Signal propagation along the structural connectome of the brain induces changes in the patterns of activity. These activity patterns define global brain states and contain informat…
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…
Supervised Chaotic Source Separation by a Tank of Water
Zhixin Lu, Jason Z. Kim, Danielle S. Bassett
Whether listening to overlapping conversations in a crowded room or recording the simultaneous electrical activity of millions of neurons, the natural world abounds with sparse mea…
A practical guide to methodological considerations in the controllability of structural brain networks
Teresa M. Karrer, Jason Z. Kim, Jennifer Stiso +4
Predicting how the brain can be driven to specific states by means of internal or external control requires a fundamental understanding of the relationship between neural connectiv…
Design of Large Sequential Conformational Change in Mechanical Networks
Jason Z. Kim, Zhixin Lu, Danielle S. Bassett
From the complex motions of robots to the oxygen binding of hemoglobin, the function of many mechanical systems depends on large, coordinated movements of their components. Such mo…
Linear Dynamics & Control of Brain Networks
Jason Z. Kim, Danielle S. Bassett
The brain is an intricately structured organ responsible for the rich emergent dynamics that support the complex cognitive functions we enjoy as humans. With around neuro…
Network structure of cascading neural systems predicts stimulus propagation and recovery
Harang Ju, Jason Z. Kim, Danielle S. Bassett
Many neural systems display cascading behavior characterized by uninterrupted sequences of neuronal firing. This gap precludes an understanding of how variations in network structu…
Temporal sequences of brain activity at rest are constrained by white matter structure and modulated by cognitive demands
Eli J. Cornblath, Arian Ashourvan, Jason Z. Kim +13
A diverse white matter network and finely tuned neuronal membrane properties allow the brain to transition seamlessly between cognitive states. However, it remains unclear how stat…
Conformational Control of Mechanical Networks
Jason Z. Kim, Zhixin Lu, Steven H. Strogatz +1
Understanding conformational change is crucial for programming and controlling the function of many mechanical systems such as allosteric enzymes and tunable metamaterials. Of part…
Development of structural correlations and synchronization from adaptive rewiring in networks of Kuramoto oscillators
Lia Papadopoulos, Jason Kim, Jurgen Kurths +1
Synchronization of non-identical oscillators coupled through complex networks is an important example of collective behavior. It is interesting to ask how the structural organizati…
Topological Principles of Control in Dynamical Network Systems
Jason Kim, Jonathan M. Soffer, Ari E. Kahn +3
Networked systems display complex patterns of interactions between a large number of components. In physical networks, these interactions often occur along structural connections t…