Arizona State University, the University of Houston, University of Maryland, Baltimore County, Georgia Tech, Universidad Miguel Hernández de Elche, Spain, and Tecnológico de Monterrey, Mexico have a unique concentration of Principal Investigators (PI) who have the resources and expertise to design, develop, and test innovative neurotechnologies that can effectively transform the lives of physically and cognitively impaired individuals.

Our combined expertise covers the spectrum of mental, neural and physical disabilities across the human lifespan, from peripheral nerve implants and cortical arrays to assistive robotics, EEG, and other noninvasive solutions. Our collective research ranges in populations from pediatrics to the elderly, and technologies from peripheral nerve implants to deep brain stimulators and biosensors.

We include faculty working on the neural basis and engineering solutions for reach-and-grasp, standing, walking, and joint action, and we have ongoing activities in multiple scales of investigation (from single cells to system approaches), and capabilities in both human and non-human models.

Leveraging our expertise in neural engineering, clinical testing, mechatronics, and robotics, we will build a Center focused on cooperating with industrial partners, clinical partners, and federal agencies to accelerate the development, application, evaluation, and deployment of innovative neural technologies. We will focus on reducing the cost/benefit ratio of neural technologies broadly aimed at all levels of neural function and control, from homeostasis to consciousness. We will take a multi-scale, multi-modal, and multi-disciplinary approach to understanding all aspects of human neural function, and in using neurotechnologies in the treatment of human pathology.

To do this, we will partner with industry leaders in and clinical users of neurotechnology to:

Speed the rate at which new technologies are developed and empirically validated

Develop standards and test technologies in human and non-human models using a multi-scale approach, ranging from single neurons to organismal systems

Bring a range of methods for the characterization of technologies, employing novel biosensors and quantitative analyses of systems and behaviors

Evaluate the impact of specific technologies on quality of life

Maintain a conscious focus on reducing the cost/benefit ratio of neural technologies

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Research Areas


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Sydney Schaefer
Melita Belgrave
Aaron T. Becker
Alba Roldán Romero
Adam Thrasher
Amaury Lendasse
Baoxin Li
Bradley Greger
Belinda del Carmen Carrión Chavarría
Beom-Chan Lee
Cameron Buckner
Carla Caballero Sánchez
Charles Layne
Christopher Buneo
Cristina Rivera Garza
David Barbado Murillo
Nina Sharp
David Isaac Ibarra Zarate
Michelle Patrick Krueger
David Mayerich
Dennis Reynolds
Diego Pastor Campos
Eduardo Cervelló Gimeno
Eduardo Iáñez
Enrique Barbieri
Enrique Barrajón-Catalán
Enrique Roche
Francisco C. Robles Hernandez
Francisco Javier Moreno Hernández
George Zouridakis
Gerardo Presbítero Espinosa
Heather Dial
Hugo Gustavo González Hernández
Hyunglae Lee
Ioannis Pavlidis
Javier Mauricio Antelis Ortiz
Jeff Feng
Jeffrey Kleim
Jennie Si
Jennifer Blain Christen
Jennifer Kitchen
Jiming Bao
Jitendran Muthuswamy
Joel Carlos Huegel West
John Wolfe
Jorge de Jesus Lozoya Santos
José Antonio Encinar Hidalgo
Jose Luis Contreras-Vidal
Jose M. Azorín
Juana Gallar
Ki-Joon Back
Kostas Tsakalis
Luca Pollonini
Luz María Alonso Valerdi
M. Carmen Acosta
Maria C. Gaztambide
María Herranz-López
Mario Ortiz
Michael Goryll
Michelle LaPlaca
Mohamed Sarwat
Marco Santello
Myriam Alanis Espinosa
Selcuk Candan
Pedro Daniel Urbina Coronado
Pedro Ponce Cruz
Peter Konrad
Pranav Parikh
Radhey Sharma
Rafael Sabido Solana
Ramana Vinjamuri
Raúl Reina
Ricardo Ambrocio Ramírez Mendoza
Rosalind Sadleir
Sandeep Gupta
Sarah Stabenfeldt
Saurabh Prasad
Sergio Uribe Gutiérrez
Stacey Gorniak
Stephen Helms Tillery
Steven Aubery Long
Steven Matijcio
Stuart Long
Thurmon Lockhart
Tomás Urbán Infantes
Troy McDaniel
Vicente Micol Molina
Victor Meseguer
Vikram Kodibagkar
Wei Shih
Wenlong Zhang
Xin Fu
Yingchun Zhang
Zhu Han