Braden A. W. Brinkman

The paper shows that inferred neuronal connections in subsampled networks correlate with spike train covariances rather than causal relationships.

This paper trains a spiking network model of primary auditory cortex (A1) on audio waveforms to learn temporal filters with frequency preferences, demonstrating natural frequency selectivity without explicit parametrization.

This study models how aging-related changes in excitatory neural firing affect visual cortex function, showing that dysregulated firing and synaptic plasticity can replicate age-related declines in inhibition and stimulus selectivity.

The paper develops a framework to quantify how hidden neurons affect measured synaptic interactions in neural circuits.