Full-Scale Biophysical Modeling of Hippocampal Networks during Spatial Navigation - Ivan Raikov скачать в хорошем качестве

Full-Scale Biophysical Modeling of Hippocampal Networks during Spatial Navigation - Ivan Raikov

The hippocampus provides the basis for episodic memory in the brain, remembering events experienced in the past and linking them with their spatio-temporal context. Our project combines experimental data with computational modeling to elucidate how neurons in the hippocampus generate episodic memory sequences. We have constructed 1:1 scale computational models of two hippocampal subregions with detailed neuronal morphology and biophysics for most neuron types. Input to these models is provided by an idealized representation of the environmental information coded by cortical neurons projecting into the hippocampus, which matches the statistical features of experimental observations. Model parameters have been constrained so that simulations of neural activity during locomotion show highly sparse coding of position information that is specific to the hippocampus. Our simulations provide a complete picture of the known neurons within the hippocampus and allow the tracking of subpopulations representing individual trajectories and sensory cues associated with them.