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Found 12 papers, 3 papers with code
A Primer on Gibsonian Information
Across the scientific literature, information measurement in the nervous system is posed as a problem of information processing internal to the brain by constructs such as neuronal populations, sensory surprise, or cognitive models.
Hypergraphs Demonstrate Anastomoses During Divergent Integration
The lineage hypergraph models the developmental process as an n-ary tree, which can model two or more descendent categories per division event.
Super-performance: sampling, planning, and ecological information
We can take a comparative cognitive modeling perspective to understand the limits of this performance and the existence of superperformance.
Layers, Folds, and Semi-Neuronal Information Processing
Using this observation as inspiration, we utilize a type of embodied agent that exhibits layered representational capacity: meta-brain models.
Flipping the switch on local exploration: Genetic Algorithms with Reversals
The authors will show that the use of multiple local searches can improve performance on local stochastic searches, providing ample opportunity for application to a host of other problem domains.
Meta-brain Models: biologically-inspired cognitive agents
We will propose combinations of layers composed using specialized types of models.
Sentiment Progression based Searching and Indexing of Literary Textual Artefacts
This can be used to create personalized clusters of book titles of interest to readers.
Connectionism, Complexity, and Living Systems: a comparison of Artificial and Biological Neural Networks
We then consider these principles in ways that might be implemented in the future development of ANNs.
Continual Developmental Neurosimulation Using Embodied Computational Agents
Using these agents to exemplify the embodied nature of computational autonomy, we move closer to modeling embodied experience and morphogenetic growth as components of cognitive developmental capacity.
Observer-dependent Collective Behavior For Biologically-inspired Processing Models
Observers consist of observers that exhibit environmental relativism, biorealism, and collective behavior.
Braitenberg Vehicles as Developmental Neurosimulation
As is standard among models of artificial and biological neural networks, an analogue of the fully mature brain is presented as a blank slate.
Cultural association based on machine learning for team formation
The association among corresponding node and core nodes is used for the same.
BIG-bench Machine Learning
Cultural Vocal Bursts Intensity Prediction
