Authors: Diek W. Wheeler, Charise White, Alexander O. Komendantov, Christopher L. Rees, David J. Hamilton, Siva Venkadesh, Keivan Moradi, Giorgio A. Ascoli

Hippocampome.org was officially launched in 2015. Releases since then and slated for the coming year constitute multidimensional expansions of this knowledge base: Neuron Term Portal (available), Clickable connectivity matrix (available), Firing patterns, Molecular biomarker inferences, Izhikevich modeling parameters, Allen Mouse Brain Atlas data addition, and New neuron types.

Poster Title: Large-scale genetic profiles of hippocampal principal neurons through Allen Brain Atlas mining
Authors: David J. Hamilton, Charise M. White, Christopher L. Rees, Diek W. Wheeler, Giorgio A. Ascoli

The field of machine learning, which historically has utilized multilayered artificial neural networks and, more recently, "Deep Learning" to characterize large datasets, will benefit from exploiting specific organizational and functional principles garnered from hippocampal circuitry. Using knowledge available in Hippocampome.org, it is now possible to construct spiking neural network (SNN) models of the rodent hippocampus.

Authors: Siva Venkadesh, Alexander O. Komendantov, David J. Hamilton, Diek W. Wheeler, Stanislav Listopad2, Jeffrey L. Krichmar3, Giorgio A. Ascoli1

Hippocampome.org is a knowledge base of neuron types in the rodent hippocampal formation upon which we aim to build a full-scale model of the hippocampus. Simulation costs of biophysically detailed Hodgkin-Huxley-type neuronal models often impose limits on the scale of biologically realistic network models. Therefore, our immediate modeling goal is to create computationally efficient models that quantitatively reproduce various firing-pattern features of hippocampal neuron types.