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Discusses assembling neural networks by defining space and populating it with neurons, emphasizing the challenges and strategies for accurate morphologies and volume information.
Delves into simulating network dynamics in in silico neuroscience, covering spontaneous and evoked activity, in-vitro and in-vivo simulations, and sensitivity analysis.
Covers spontaneous brain network activity, neural simulation, and validation, emphasizing the importance of in-vitro and in-vivo conditions for accurate network modeling.
Explores neuron classification in in silico neuroscience, emphasizing challenges in reconstructing neuronal morphologies and the importance of accurate classifications.
Explores brain development, from neurulation to adult neurogenesis, emphasizing the influence of environmental factors and the potential impact on memory and brain recovery.
