47 citations · 70 across the 17 of their papers we have counts for
10 papers · 1 filter
Beyond DSA: Conjugacy-based Comparison of Dynamical Systems
Prakhar Godara, Pang Shiang Tay, Marcelo G. Mattar
Comparing whether two dynamical systems implement the same computation despite differences in coordinates or measurements is a central problem in neuroscience and machine learning.…
Emergence and reconfiguration of modular structure for synaptic neural networks during continual familiarity detection
Shi Gu, Marcelo G Mattar, Huajin Tang +1
While advances in artificial intelligence and neuroscience have enabled the emergence of neural networks capable of learning a wide variety of tasks, our understanding of the tempo…
Learning differentially reorganizes brain activity and connectivity
Maxwell A Bertolero, Azeez Adebimpe, Ankit N. Khambhati +4
Human learning is a complex process in which future behavior is altered via the reorganization of brain activity and connectivity. It remains unknown whether activity and connectiv…
Effective learning is accompanied by high dimensional and efficient representations of neural activity
Evelyn Tang, Marcelo G. Mattar, Chad Giusti +2
A fundamental cognitive process is the ability to map value and identity onto objects as we learn about them. Exactly how such mental constructs emerge and what kind of space best…
Brain State Flexibility Accompanies Motor-Skill Acquisition
Pranav G. Reddy, Marcelo G. Mattar, Andrew C. Murphy +4
Learning requires the traversal of inherently distinct cognitive states to produce behavioral adaptation. Yet, tools to explicitly measure these states with non-invasive imaging --…
Brain Network Architecture: Implications for Human Learning
Marcelo G. Mattar, Danielle S. Bassett
Human learning is a complex phenomenon that requires adaptive processes across a range of temporal and spacial scales. While our understanding of those processes at single scales h…
The Energy Landscape Underpinning Module Dynamics in the Human Brain Connectome
Arian Ashourvan, Shi Gu, Marcelo G. Mattar +2
Human brain dynamics can be profitably viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing…
The network architecture of value learning
Marcelo G Mattar, Sharon L Thompson-Schill, Danielle S Bassett
Value guides behavior. With knowledge of stimulus values and action consequences, behaviors that maximize expected reward can be selected. Prior work has identified several brain s…
Optimal Trajectories of Brain State Transitions
Shi Gu, Richard F. Betzel, Matthew Cieslak +4
The complexity of neural dynamics stems in part from the complexity of the underlying anatomy. Yet how the organization of white matter architecture constrains how the brain transi…
Structural Pathways Supporting Swift Acquisition of New Visuo-Motor Skills
Ari E. Kahn, Marcelo G. Mattar, Jean M. Vettel +3
Human skill learning requires fine-scale coordination of distributed networks of brain regions that are directly linked to one another by white matter tracts to allow for effective…