Simulation & dynamics
Keep simulated behavior distinct from real-world observations.
Questions to work through.
Explore the sources.
All 75 resources →2D elastodynamic metamaterials
Pixelated metamaterial unit-cell designs and band-gap locations and widths for investigating simulation surrogate reliability.
[Re] A general model of hippocampal and dorsal striatal learning and decision making
A replication of a model combining hippocampal and dorsal-striatal learning for spatial decision making.
[Re] A Multi-Functional Synthetic Gene Network
An Octave replication of a multifunctional synthetic gene-network model involving oscillatory and switching behavior.
[Re] A Neurodynamical Model for Working Memory
A replication of a neurodynamical working-memory model using recurrent or echo-state networks.
[Re] A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity
A replication of reward-modulated motor learning and automaticity in a reservoir-computing model.
[Re] A simple rule for the evolution of cooperation on graphs and social networks
A replication about the evolution of cooperation on graphs and social networks.
[Re] Assortative matching and search
A Python replication of a search-and-matching model framed through game theory and markets.
[Re] Biodiversity of plankton by species oscillations and chaos
An R replication about plankton coexistence, species oscillations and chaotic ecological dynamics.
[Re] Chaos in a Three-Species Food Chain
A Julia replication of chaotic dynamics in a three-species food-chain model.
[Re] Context-Dependent Encoding of Fear and Extinction Memories in a Large-Scale Network Model of the Basal Amygdala
A Python/Brian 2 replication of a basal-amygdala network model addressing context-dependent fear and extinction memories.
[Re] Groups of diverse problem-solvers outperform groups of highest-ability problem-solvers - most of the time
A replication of an agent-based problem-solving model comparing groups with different ability and diversity compositions.
[Re] Hamiltonian Generative Networks
A replication about Hamiltonian generative networks for learning dynamical structure.