List of works - Austin J. Brockmeier

A greedy algorithm for model selection of tensor decompositions

A novel family of non-parametric cumulative based divergences for point processes ⬇️

A semi-supervised approach using label propagation to support citation screening

scientific article

A tensor-product-kernel framework for multiscale neural activity decoding and control

scientific article

Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework.

scientific article published in August 2012

An association framework to analyze dependence structure in time series

scientific article published in January 2012

An electric field model for prediction of somatosensory (S1) cortical field potentials induced by ventral posterior lateral (VPL) thalamic microstimulation

scientific article published on 23 December 2011

An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture

scientific article published in January 2011

Eliciting naturalistic cortical responses with a sensory prosthesis via optimized microstimulation.

scientific article published on 12 August 2016

Improving reference prioritisation with PICO recognition

scientific article published on 05 December 2019

Information-theoretic metric learning: 2-D linear projections of neural data for visualization

scientific article

Joint optimization of algorithmic suites for EEG analysis

scientific article published on January 2014

Learning Recurrent Waveforms Within EEGs

scientific article published on 10 November 2015

Locating spatial patterns of waveforms during sensory perception in scalp EEG.

scientific article published in January 2012

Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex.

scientific article published on 21 July 2014

Neural decoding with kernel-based metric learning.

scientific article published on 31 March 2014

Optimizing microstimulation using a reinforcement learning framework

scientific article published in January 2011

Prioritising references for systematic reviews with RobotAnalyst: A user study

scientific article

Quantifying risk factors in medical reports with a context-aware linear model ⬇️

scientific article published on 01 June 2019

Representing and decomposing neural potential signals

scientific article

Self-Tuned Descriptive Document Clustering Using a Predictive Network

Spatio-temporal clustering of firing rates for neural state estimation

scientific article published in January 2010

List of works by Austin J. Brockmeier

A greedy algorithm for model selection of tensor decompositions

A novel family of non-parametric cumulative based divergences for point processes ⬇️

A semi-supervised approach using label propagation to support citation screening

A tensor-product-kernel framework for multiscale neural activity decoding and control

Adaptive inverse control of neural spatiotemporal spike patterns with a reproducing kernel Hilbert space (RKHS) framework.

An association framework to analyze dependence structure in time series

An electric field model for prediction of somatosensory (S1) cortical field potentials induced by ventral posterior lateral (VPL) thalamic microstimulation

An information-theoretic approach to motor action decoding with a reconfigurable parallel architecture

Eliciting naturalistic cortical responses with a sensory prosthesis via optimized microstimulation.

Improving reference prioritisation with PICO recognition

Information-theoretic metric learning: 2-D linear projections of neural data for visualization

Joint optimization of algorithmic suites for EEG analysis

Learning Recurrent Waveforms Within EEGs

Locating spatial patterns of waveforms during sensory perception in scalp EEG.

Modulation of virtual arm trajectories via microstimulation in a spiking model of sensorimotor cortex.

Neural decoding with kernel-based metric learning.

Optimizing microstimulation using a reinforcement learning framework

Prioritising references for systematic reviews with RobotAnalyst: A user study

Quantifying risk factors in medical reports with a context-aware linear model ⬇️

Representing and decomposing neural potential signals

Self-Tuned Descriptive Document Clustering Using a Predictive Network

Spatio-temporal clustering of firing rates for neural state estimation

Subspace matching thalamic microstimulation to tactile evoked potentials in rat somatosensory cortex.

Tensor completion throughmultiple Kronecker product decomposition

Towards closed-loop brain-machine experiments across wide-area networks

Women's health in The BMJ: a data science history