Szabolcs Káli

This paper develops a detailed, data-driven biophysical model of hippocampal CA1 pyramidal neurons that captures diverse electrophysiological features and validates its accuracy through experimental comparison.

The paper presents a full-scale in silico model of rat hippocampal CA1 integrating diverse experimental data and validates it through simulations of theta rhythm and other experiments.

The paper evaluates and compares neuronal parameter optimization methods using the Neuroptimus framework, identifying effective algorithms and creating an online database for benchmarking.

The paper quantitatively compares anatomical and physiological properties of OLM and HS hippocampal interneurons using 3D reconstructions, electrophysiology, and modeling.

The paper demonstrates that medial septal pacemaker neurons synchronize their frequencies to generate hippocampal theta oscillations, akin to Huygens' pendulum synchronization.

The paper constructs a network model of hippocampal area CA3 to show that structured synaptic interactions underlie sharp wave-ripples and sequence replay during learning.

HippoUnit provides an open-source Python test suite to systematically compare and evaluate detailed models of rat hippocampal CA1 pyramidal neurons against electrophysiological data.

This paper integrates existing knowledge on rodent hippocampal CA1 synaptic anatomy and physiology into a coherent in silico resource.