Levin Kuhlmann

Omid Kavehei, Levin Kuhlmann, Mohammad Reza Bonyadi, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Seizure Detection Using Seizure Probability Estimation: Comparison of Features Used to Detect Seizures

David B. Grayden, Anthony N. Burkitt, Levin Kuhlmann, 2009, Annals of Biomedical Engineering.

Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA)

Levin Kuhlmann, Sonika Tyagi, Yashpal Ramakrishnaiah, 2020, Comput. Biol. Medicine.

Epilepsyecosystem.org: crowd-sourcing reproducible seizure prediction with long-term human intracranial EEG

Brian Litt, Feng Li, Alexandre Barachant, 2018, Brain : a journal of neurology.

Data-driven neural models part II: connectivity patterns of human seizures

Levin Kuhlmann, Dean R. Freestone, Daniel Soundry, 2016 .

Convolutional Neural Networks for Epileptic Seizure Prediction

Ronald Tetzlaff, Benjamin H. Brinkmann, Levin Kuhlmann, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Epileptic Seizure Forecasting With Generative Adversarial Networks

Omid Kavehei, Luping Zhou, Levin Kuhlmann, 2019, IEEE Access.

A circle criterion observer for estimating the unmeasured membrane potential of neuronal populations

Dragan Nesic, Romain Postoyan, Levin Kuhlmann, 2011, 2011 Australian Control Conference.

A Computational Study of How Orientation Bias in the Lateral Geniculate Nucleus Can Give Rise to Orientation Selectivity in Primary Visual Cortex

Levin Kuhlmann, Trichur R. Vidyasagar, Trichur Raman Vidyasagar, 2011, Front. Syst. Neurosci..

Ensembling crowdsourced seizure prediction algorithms using long‐term human intracranial EEG

Alexandre Barachant, Levin Kuhlmann, Feng Li, 2019, Epilepsia.

A Generalised Seizure Prediction with Convolutional Neural Networks for Intracranial and Scalp Electroencephalogram Data Analysis pdf

Jiawei Yang, Omid Kavehei, Levin Kuhlmann, 2017, ArXiv.

State and parameter estimation of nonlinear systems: A multi-observer approach

Dragan Nesic, Romain Postoyan, Levin Kuhlmann, 2014, 53rd IEEE Conference on Decision and Control.

A taxonomy of seizure dynamotypes

Andreas Schulze-Bonhage, Viktor Jirsa, Levin Kuhlmann, 2020, bioRxiv.

Analysis of the power spectra, autocorrelation function and EEG time-series signal of a network of leaky integrate-and-fire neurons with conductance-based synapses

Levin Kuhlmann, Hamish Meffin, Anthony N Burkitt, 2009, BMC Neuroscience.

Data-driven neural models part I: State and parameter estimation

Levin Kuhlmann, Dean R. Freestone, Daniel Soundry, 2016 .

Convergence analysis of efficient online learning in Bayesian spiking neurons

Levin Kuhlmann, Michael Hauser-Raspe, David B Grayden, 2012, BMC Neuroscience.

Parameter and State Estimation of Nonlinear Systems Using a Multi-Observer Under the Supervisory Framework

Dragan Nesic, Romain Postoyan, Levin Kuhlmann, 2014, IEEE Transactions on Automatic Control.

Integer Convolutional Neural Network for Seizure Detection

Omid Kavehei, Levin Kuhlmann, Mohammad Reza Bonyadi, 2018, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

A neural model of 3D shape-from-texture: Multiple-scale filtering, cooperative-competitive grouping, and 3D surface filling-in

Stephen Grossberg, Levin Kuhlmann, Ennio Mingolla, 2005 .

The perturbation response and power spectrum of a mean-field of IF neurons with inhomogeneous inputs

Levin Kuhlmann, Hamish Meffin, Anthony N Burkitt, 2010, BMC Neuroscience.

Parameter and state estimation for a class of neural mass models

Dragan Nesic, Romain Postoyan, Levin Kuhlmann, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram

Jiawei Yang, Omid Kavehei, Levin Kuhlmann, 2018, Neural Networks.

The circadian profile of epilepsy improves seizure forecasting

Levin Kuhlmann, David B Grayden, Hoameng Ung, 2017, Brain : a journal of neurology.

Tracking Electroencephalographic Changes Using Distributions of Linear Models: Application to Propofol-Based Depth of Anesthesia Monitoring

Tarmo Lipping, Jonathan H. Manton, Levin Kuhlmann, 2017, IEEE Transactions on Biomedical Engineering.

Predicting epileptic seizures using nonnegative matrix factorization

Gordon Pipa, Levin Kuhlmann, Olivera Stojanović, 2020, PloS one.

Evaluation of Channel Performance in Seizure Prediction

Levin Kuhlmann, Zhinoos Razavi Hesabi, Hoai An Nguyen, 2021, ACSW.

Coherent false seizure prediction in epilepsy, coincidence or providence?

Ronald Tetzlaff, Levin Kuhlmann, Ortrud Uckermann, 2021, Clinical Neurophysiology.

A Multimodal Dataset and Evaluation for Feature Estimators of Temporal Phases of Anxiety

Sharon L. Oviatt, Levin Kuhlmann, Kirsten Ellis, 2021, ICMI.

A Two-Layer LSTM Deep Learning Model for Epileptic Seizure Prediction

Nabil J. Sarhan, Mohammad Alhawari, Levin Kuhlmann, 2021, 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS).

Estimating the unmeasured membrane potential of neuronal populations from the EEG using a class of deterministic nonlinear filters

Romain Postoyan, Levin Kuhlmann, Andrea Varsavsky, 2012, Journal of neural engineering.

Critical slowing down as a biomarker for seizure susceptibility

David B. Grayden, Anthony N. Burkitt, Levin Kuhlmann, 2020, Nature Communications.

A nonlinear estimator for the activity of neuronal populations in the hippocampus

Dragan Nesic, Romain Postoyan, Levin Kuhlmann, 2011 .

Modulation of Functional EEG Networks by the NMDA Antagonist Nitrous Oxide

Levin Kuhlmann, David T. J. Liley, Brett L. Foster, 2013, PloS one.

Forecasting cycles of seizure likelihood

Andreas Schulze-Bonhage, Daniel Payne, Levin Kuhlmann, 2020, Epilepsia.

Peak-Splitting in the Response of the Leaky Integrate-and-Fire Neuron Model to Low-Frequency Periodic Inputs

Levin Kuhlmann, An Burkitt, Gm Clark, 2001 .