Welcome to the NEST Simulator documentation =========================================== .. grid:: .. grid-item:: NEST is used in computational neuroscience to model and study behavior of large networks of neurons. The models describe single neuron and synapse behavior and their connections. Different mechanisms of plasticity can be used to investigate artificial learning and help to shed light on the fundamental principles of how the brain works. NEST offers convenient and efficient commands to define and connect large networks, ranging from algorithmically determined connections to data-driven connectivity. Create connections between neurons using numerous synapse models from STDP to gap junctions. .. button-ref:: tutorials_guides :ref-type: ref :shadow: :color: primary Start exploring NEST .. grid-item:: .. grid:: 1 1 1 1 :gutter: 2 .. grid-item-card:: .. carousel:: :show_indicators: :show_fade: :show_dark: :data-bs-ride: carousel .. figure:: static/img/network_model_sketch_mesocircuit.png Create spatially structured networks .. figure:: static/img/astrocyte_interaction.png Investigate neuron and astrocyte interactions .. figure:: static/img/hpc_benchmark_connectivity.svg Test perfomance and benchmarks .. figure:: static/img/pong_sim.gif Play PONG with NEST .. figure:: static/img/gapjunctions.png Explore synapse types like gap junctions .. grid-item:: .. button-ref:: pynest_examples :ref-type: ref :color: info :align: center :shadow: Discover all our examples! .. toctree:: :caption: USAGE :hidden: :glob: Install Tutorials and Guides Examples Models Python API ref_material/glossary Cite NEST License .. toctree:: :caption: COMMUNITY :hidden: :glob: Contact us Contribute What's new? NEST Homepage Acknowledgments .. toctree:: :caption: RELATED PROJECTS :hidden: NEST Desktop NESTML NESTGPU