Computational model
Fast Spiking Basket cells (Tzilivaki et al 2019)
Alexandra Tzilivaki
"Interneurons are critical for the proper functioning of neural circuits. While often morphologically complex, dendritic integration and its role in neuronal output have been ignored for decades, treating interneurons as linear point neurons. Exciting new findings suggest that interneuron dendrites support complex, nonlinear computations: sublinear integration of EPSPs in the cerebellum, coupled to supralinear calcium accumulations and supralinear voltage integration in the hippocampus. These findings challenge the point neuron dogma and call for a new theory of interneuron arithmetic. Using detailed, biophysically constrained models, we predict that dendrites of FS basket cells in both hippocampus and mPFC come in two flavors: supralinear, supporting local sodium spikes within large-volume branches and sublinear, in small-volume branches. Synaptic activation of varying sets of these dendrites leads to somatic firing variability that cannot be explained by the point neuron reduction. Instead, a 2-stage Artificial Neural Network (ANN), with both sub- and supralinear hidden nodes, captures most of the variance. We propose that FS basket cells have substantially expanded computational capabilities sub-served by their non-linear dendrites and act as a 2-layer ANN."
  • Hippocampus CA3 interneuron basket GABA cell Show Other
  • Neuron or other electrically excitable cell Show Other
  • Tzilivaki A, Kastellakis G, Poirazi P (2019) Show Other
  • Tzilivaki, Alexandra [alexandra.tzilivaki at] Show Other
  • Kastellakis, George [gkastel at] Show Other
Multi-compartmental biophysical models
Artificial Neural Network
Tzilivaki, Alexandra [] Kastellakis, George []
Other categories referring to Fast Spiking Basket cells (Tzilivaki et al 2019)
Revisions: 23
Last Time: 7/29/2019 2:14:19 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin