Heather L. Read

Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans

Dimitrios Giannakis, Joanna Slawinska, Natasza Marrouch, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Optimal Multichannel Artifact Prediction and Removal for Neural Stimulation and Brain Machine Interfaces

Kelsey Dutta, Monty A. Escabí, Bin Feng, 2020, Frontiers in Neuroscience.

Representation of spectrotemporal sound information in the ascending auditory pathway

Monty A. Escabí, Heather L. Read, M. Escabí, 2003, Biological Cybernetics.

Origins of scale invariance in vocalization sequences and speech

Monty A. Escabí, Markus Wöhr, Heather L. Read, 2018, PLoS Comput. Biol..

Distinct neural ensemble response statistics are associated with recognition and discrimination of natural sound textures

Xiu Zhai, Ian H. Stevenson, Monty A. Escabí, 2020, Proceedings of the National Academy of Sciences.

Data-driven Koopman operator approach for computational neuroscience

Dimitrios Giannakis, Natasza Marrouch, Heather L. Read, 2019, Annals of Mathematics and Artificial Intelligence.

Deterministic dynamics emerging from a cortical functional architecture

Ralph M. Siegel, R. M. Siegel, Heather L. Read, 2001, Neural Networks.

The acoustical cues to sound location in the rat: measurements of directional transfer functions.

Daniel J. Tollin, Kanthaiah Koka, Heather L. Read, 2008, The Journal of the Acoustical Society of America.

Models of the temporal dynamics of visual processing

Ralph M. Siegel, R. M. Siegel, Heather L. Read, 1993 .