6 citations · 15 across the 5 of their papers we have counts for
5 papers
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…
Predecessor Features
Duncan Bailey, Marcelo G. Mattar
Any reinforcement learning system must be able to identify which past events contributed to observed outcomes, a problem known as credit assignment. A common solution to this probl…
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…