Biological Simulation is the use of computational and mathematical models to simulate biological systems. The underlying complexity of biology necessitates the development of efficient algorithms, knowledge representation methods, visualization techniques, data formats, and computational tools to observe the emergent behaviors of biological systems. The broad scope and variety of time-scales and space-scales requires development of community-driven standards and common formats to enable interoperability and reproducibility of models.
3D Spiking neural network simulation exploring Spike Timing Dependent Plasticity (STDP)
Simulaciones de epidemias 👾 en poblaciones con mezclas homogéneas 👪 utilizando modelos basados en agentes autónomos 🤖
In silico therapeutic target discovery using network attractors: avoiding pathological phenotypes
Bizzare conglomerate of C. Elegans and neuroscience thoughts.
Biologically nearly-accurate neuron model in computational form
Simulating tumour development in two and three dimensions using the framework of the spatial Tangled Nature model
Enhancing Boolean networks with continuous logical operators and edge tuning: smoothing simulations