From neuron classification to spiking neural network simulations: a neuroinformatics approach to data-driven computational models
Neuroscience textbooks describe the brain as a massive network of spiking neurons with complex dynamics. Neural circuits, the story goes, are largely defined by the connectivity between axons, reliably propagating all-or-none action potentials to distant targets, and local dendrites integrating synaptic inputs. In this model, activity-dependent plasticity continuously alters synaptic strength, while neurotransmitters determine excitation v. inhibition. Are these ingredients sufficient to explain cognition? If not, what is missing? Tackling these questions for the hippocampal formation, I will show how neuronal diversity is the key to explore the relationship between synapses and behavior.
Share this event
Event Contact: Rebecca Benson
