Patrick Francis Bloniasz

Spectral decompositions of neural voltage recordings are susceptible to model misspecifications that cause meaningful estimation error

This paper shows that common assumptions in spectral decomposition of neural voltage data lead to estimation errors and introduces a corrected method that improves accuracy in analyzing brain state changes.

Filtered Point Processes Tractably Capture Rhythmic And Broadband Power Spectral Structure in Neural Electrophysiological Recordings

The paper introduces a stochastic modeling framework to capture both rhythmic and broadband spectral effects in neural recordings and demonstrates its ability to interpret power spectra and cross-frequency coupling.

Neurovascular Impulse Response Function (IRF) during spontaneous activity differentially reflects intrinsic neuromodulation across cortical regions

The paper shows that hemodynamic responses in the cortex are influenced by neuromodulators like norepinephrine, with distinct impulse response functions for different neuromodulatory signals.