William F. Podlaski

The paper introduces a standardized ion channel model based on Hodgkin-Huxley formulation, demonstrating its ability to fit most voltage-gated models and enable parameter comparison and inference.

The paper presents a framework to understand hippocampal remapping through three mechanisms using a linear decoder and population geometry perspective.

This paper introduces a context-modular memory network model that enhances memory capacity through context-dependent neuronal and synaptic gating, showing improved stability and accessibility of memory patterns.

This paper introduces a machine learning method using deep neural density estimators to perform Bayesian inference on neural dynamics models, demonstrating its application to various neural systems.

The paper introduces a framework to classify ion channel models and provides a web interface for comparing models with experimental data.