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Found 4 papers, 1 papers with code
Spatiotemporal Patterns in Neurobiology: An Overview for Future Artificial Intelligence
Thus we hope these studies will inform future developments in artificial intelligence algorithms as well as help validate our understanding of brain processes based on experiments in animals or humans.
A Cellular Automaton Model for the generation of Brainwaves
We describe a cellular-automaton based, two-dimensional (2D) lattice model which generates global oscillations in the EEG spectrum as well as time series of local field potentials resembling those observed during slow wave sleep.
Structural Correlates Of Spatial Navigation And Memory Formation
Spatial learning across many species is impaired by lesions in the hippocampus, a subcortical brain structure whose cellular composition changes substantially over its 5 to 6 week lifetime from mainly excitatory neurons during development to equal proportions of inhibitory interneurons (gamma Amp/Arcs) as well as pyramidal cells early in life, but which later on comprises only about 10% Arches+ projection spiny cortical projecting principal cells that are located within discrete cytoarchitectonic patches known as CA3 or just hilus granular layer 2 (CG2).
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
To streamline this process and accelerate future development, we introduce SubseasonalClimateUSA, a curated dataset for training and benchmarking subseasonal forecasting models in the United States.
