NeuroEng@Usach

The goal of the NeuroEngineering Group at Usach is to contribute to the understanding and improvement of electrical neuromodulation therapies by means of computational modeling and engineering techniques. As well, we aim to provide engineering tools and analyses to understand neural systems function. NeuroEng@Usach is part of the Biomedical Informatics Lab

Research

Complexity analysis in electrophysiological signals

Healthy states appear to be more complex than those observed in disease. We perform complexity and entropy analyses of physiological signals to provide tools for diagnosis.

Nerve fiber modeling

We are analyzing computational models of nerve fibers to understand how they respond to high-frequency stimulation waveforms. Our goal is to use mathematical modeling and engineering techniques to improve existing models and contribute to the improvement of electrical neuromodulation therapies.

Noninvasive Electrical Stimulation of the Spinal Cord for Pain Management

We are developing computational models of noninvasive electrical stimulation to design strategies that are able to reach spinal cord structures using surface electrodes. Modulating the activity of nerve fibers or neurons in the spine is being used for pain relief in people with chronic pain.

Quantification of direction selectivity in a network model of the retina

We are studying the phenomenon of direction selectivity to light stimuli in the retina by means of computational models of retinal cell networks.

Meet the Team

Principal Investigator

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Leo Medina

Principal Investigator

Grad Students

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Sebastián Garay

MSc student

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Michael Castillo

MSc student

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Sandra Hernández

MSc student

Research Assistants

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Javier Pérez

Research assistant

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Maximiliano Orellana

Research assistant

Thesis Students

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Carlos Álvarez

Thesis student

Camilo Fierro

Thesis student

Alumni

Alonso Carvajal

Research assistant

Arturo Salinas

Thesis student

Belén Rickmers

Research assistant

Fabián Lobos

Thesis student

Florencia Corvalán

Research assistant

Guillermo Campos

Thesis student

Juan Pablo Martínez

Thesis student

Leonardo Peña

Thesis student

Mario Cáceres

Thesis student

Publications

(2020). Design of a low-cost neuromuscular blockade monitoring device. 2020 5th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS).

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(2019). Creating a neuroprosthesis for active tactile exploration of textures. Proceedings of the National Academy of Sciences.

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(2019). Creating a neuroprosthesis for active tactile exploration of textures. bioRxiv.

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(2016). Quantification of Dorsal Column Fiber Responses in a Model of Kilohertz-Frequency Spinal Cord Stimulation. NANS-NIC Joint Meeting.

(2015). Effects of frequency-dependent membrane capacitance on neural excitability. Journal of Neural Engineering.

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(2015). Mammalian Motor Nerve Fibers, Models of. Encyclopedia of Computational Neuroscience.

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(2015). Phantom Model of Transcutaneous Electrical Stimulation with Kilohertz Signals. IEEE EMBS Conference on Neural Engineering.

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(2013). Circuit and volume conductor models of transcutaneous electrical stimulation. International IEEE/EMBS Conference on Neural Engineering, NER.

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(2012). Stochastic Facilitation of Artificial Tactile Sensation in Primates. Journal of Neuroscience.

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(2011). Ore grade estimation by feature selection and voting using boundary detection in digital image analysis. International Journal of Mineral Processing.

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(2010). A critical experimental study of the classical tactile threshold theory.. BMC neuroscience.

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(2005). Linear versus nonlinear neural modeling for 2-D pattern recognition. IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.

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Recent & Upcoming Talks

Neuroingeniería en la Usach

Medicina Bioeléctrica Computacional

Model Quantification of Axon Responses to Kilohertz SCS for the Treatment of Chronic Pain

Contact

  • +56 22 718 0925‬
  • Ecuador 3659, Santiago, RM, Chile
  • Room 228, Depto. Ingeniería Informática, USACH.
  • Thursday 4PM to 5PM
  • Skype Me