Joseph D. Monaco
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View article: NSF DARE—transforming modeling in neurorehabilitation: perspectives and opportunities from US funding agencies
NSF DARE—transforming modeling in neurorehabilitation: perspectives and opportunities from US funding agencies Open
View article: On the Role of Theory and Modeling in Neuroscience
On the Role of Theory and Modeling in Neuroscience Open
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth has created a need for clearer analyses of the theory and …
View article: Bayesian optimization of distributed neurodynamical controller models for spatial navigation
Bayesian optimization of distributed neurodynamical controller models for spatial navigation Open
View article: Bayesian Optimization of Distributed Neurodynamical Controller Models for Spatial Navigation
Bayesian Optimization of Distributed Neurodynamical Controller Models for Spatial Navigation Open
View article: Bayesian optimization of distributed neurodynamical controller models for spatial navigation
Bayesian optimization of distributed neurodynamical controller models for spatial navigation Open
Dynamical systems models for controlling multi-agent swarms have demonstrated advances toward resilient, decentralized navigation algorithms. We previously introduced the NeuroSwarms controller, in which agent-based interactions were model…
View article: An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience
An interdisciplinary approach to high school curriculum development: Swarming Powered by Neuroscience Open
This article discusses how to create an interactive virtual training program at the intersection of neuroscience, robotics, and computer science for high school students. A four-day microseminar, titled Swarming Powered by Neuroscience (SP…
View article: A brain basis of dynamical intelligence for AI and computational neuroscience
A brain basis of dynamical intelligence for AI and computational neuroscience Open
The deep neural nets of modern artificial intelligence (AI) have not achieved defining features of biological intelligence, including abstraction, causal learning, and energy-efficiency. While scaling to larger models has delivered perform…
View article: A brain basis of dynamical intelligence for AI and computational\n neuroscience
A brain basis of dynamical intelligence for AI and computational\n neuroscience Open
The deep neural nets of modern artificial intelligence (AI) have not achieved\ndefining features of biological intelligence, including abstraction, causal\nlearning, and energy-efficiency. While scaling to larger models has delivered\nperf…
View article: On the role of theory and modeling in neuroscience
On the role of theory and modeling in neuroscience Open
In recent years, the field of neuroscience has gone through rapid experimental advances and extensive use of quantitative and computational methods. This accelerating growth has created a need for methodological analysis of the role of the…
View article: On the role of theory and modeling in neuroscience
On the role of theory and modeling in neuroscience Open
In recent years, the field of neuroscience has gone through rapid experimental advances and a significant increase in the use of quantitative and computational methods. This growth has created a need for clearer analyses of the theory and …
View article: Hippocampal Place Cells Encode Local Surface-Texture Boundaries
Hippocampal Place Cells Encode Local Surface-Texture Boundaries Open
View article: Hippocampal place cells encode local surface texture boundaries
Hippocampal place cells encode local surface texture boundaries Open
Summary The cognitive map is often assumed to be a Euclidean map that isometrically represents the real world (i.e. the Euclidean distance between any two locations in the physical world should be preserved on the cognitive map). However, …
View article: Spatial Theta Cells in Competitive Burst Synchronization Networks: Reference Frames from Phase Codes
Spatial Theta Cells in Competitive Burst Synchronization Networks: Reference Frames from Phase Codes Open
Spatial cells of the hippocampal formation are embedded in networks of theta cells. The septal theta rhythm (6–10 Hz) organizes the spatial activity of place and grid cells in time, but it remains unclear how spatial reference points organ…