Zachary Friedenberger

Uncovering the latent structure of interwoven population and temporal codes

This paper introduces a probabilistic framework to uncover burst and population codes in neural data, showing that analyzing firing rates alone obscures latent structures.

Spiking neural network models of sound localisation via a massively collaborative process

The paper describes a massively collaborative project using spiking neural networks to study sound localization, involving 31 researchers across multiple countries.

Dendritic excitability controls overdispersion

This study shows dendritic input controls interspike interval dispersion in neurons through three operating regimes, validated with experimental data.

Fast burst fraction transients convey information independent of the firing rate

The paper identifies two distinct neural codes, burst fraction and event rate, that convey stimulus information and error signals during learning, with burst fraction showing stronger modulation and temporal alignment with behavioral accuracy.