Miguel A. L. Nicolelis

发表

Input-output mapping performance of linear and nonlinear models for estimating hand trajectories from cortical neuronal firing patterns

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2002, Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing.

Ascertaining the importance of neurons to develop better brain-machine interfaces

José Carlos Príncipe, John G. Harris, Justin C. Sanchez, 2004, IEEE Transactions on Biomedical Engineering.

The Muscle Activation Method: An Approach to Impedance Control of Brain-Machine Interfaces Through a Musculoskeletal Model of the Arm

Mandayam A. Srinivasan, Miguel A. L. Nicolelis, Jose M. Carmena, 2007, IEEE Transactions on Biomedical Engineering.

Two multichannel integrated circuits for neural recording and signal processing

Miguel A. L. Nicolelis, Patrick D. Wolf, Karen A. Moxon, 2003, IEEE Transactions on Biomedical Engineering.

Transmission latencies in a telemetry-linked brain-machine interface

Miguel A. L. Nicolelis, Jose M. Carmena, Patrick D. Wolf, 2004, IEEE Transactions on Biomedical Engineering.

Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex

Miguel A. L. Nicolelis, John K. Chapin, Karen A. Moxon, 1999, Nature Neuroscience.

Continuous shared control for stabilizing reaching and grasping with brain-machine interfaces

Mandayam A. Srinivasan, Miguel A. L. Nicolelis, Mikhail A. Lebedev, 2006, IEEE Transactions on Biomedical Engineering.

Modeling the relation from motor cortical neuronal firing to hand movements using competitive linear filters and a MLP

Deniz Erdogmus, Jose C. Principe, Justin C. Sanchez, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Brain–machine interfaces to restore motor function and probe neural circuits

Miguel A. L. Nicolelis, M. Nicolelis, 2003, Nature Reviews Neuroscience.

Pitfalls in the Assessment of Brain-Machine Interfaces Using Information Transfer Rate

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Po-He Tseng, 2017, bioRxiv.

Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2003, Neural Networks.

Neuroprosthetics and Clinical Realization of Brain-Machine Interfaces

Miguel A. L. Nicolelis, Dennis A. Turner, Dragan F. Dimitrov, 2004 .

A Brain to Spine Interface for Transferring Artificial Sensory Information

Miguel A. L. Nicolelis, Daniel Li, Amol P. Yadav, 2019, Scientific Reports.

Principles of neural ensemble physiology underlying the operation of brain–machine interfaces

Miguel A. L. Nicolelis, Mikhail A. Lebedev, M. Nicolelis, 2009, Nature Reviews Neuroscience.

Methods for Neural Ensemble Recordings, Second Edition

Miguel A. L. Nicolelis, 2007 .

Interpreting neural activity through linear and nonlinear models for brain machine interfaces

Deniz Erdogmus, Jose C. Principe, Justin C. Sanchez, 2003, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439).

Adaptive Decoding for Brain-Machine Interfaces Through Bayesian Parameter Updates

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Zheng Li, 2011, Neural Computation.

A Brain to Spine Interface for Transferring Artificial Sensory Information

Miguel A. L. Nicolelis, Daniel Li, Amol P. Yadav, 2020, Scientific Reports.

Learning mappings in brain machine interfaces with echo state networks

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

A simulator for the analysis of neuronal ensemble activity: application to reaching tasks

Miguel A. L. Nicolelis, M. Laubach, C. S. Henriquez, 2002, Neurocomputing.

A Brain-Machine Interface Instructed by Direct Intracortical Microstimulation

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Joseph E. O'Doherty, 2009, Front. Integr. Neurosci..

Determining Patterns in Neural Activity for Reaching Movements Using Nonnegative Matrix Factorization

Deniz Erdogmus, José Carlos Príncipe, Justin C. Sanchez, 2005, EURASIP J. Adv. Signal Process..

Signal-independent timescale analysis (SITA) and its application for neural coding during reaching and walking

Miriam Zacksenhouse, Miguel A. L. Nicolelis, Mikhail A. Lebedev, 2014, Front. Comput. Neurosci..

Methods for Neural Ensemble Recordings

Miguel A. L. Nicolelis, M. Nicolelis, 1998 .

Bimodal brain-machine interface for motor control of robotic prosthetic

José Carlos Príncipe, Michael C. Nechyba, Shalom Darmanjian, 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

Building Brain–Machine Interfaces to Restore Neurological Functions

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Roy E. Crist, 2008 .

Three-dimensional, automated, real-time video system for tracking limb motion in brain–machine interface studies

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Nathan A. Fitzsimmons, 2009, Journal of Neuroscience Methods.

Designing a Brain-Machine Interface for Neuroprosthetic Control

Miguel A. L. Nicolelis, Patrick D. Wolf, Karen A. Moxon, 2000 .

Frontiers in Integrative Neuroscience Integrative Neuroscience Extracting Kinematic Parameters for Monkey Bipedal Walking from Cortical Neuronal Ensemble Activity

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Nathan A. Fitzsimmons, 2022 .

Brain–machine interfaces: past, present and future

Miguel A. L. Nicolelis, Mikhail A. Lebedev, M. Nicolelis, 2006, Trends in Neurosciences.

An Info-Gap Approach to Linear Regression

Yakov Ben-Haim, Miriam Zacksenhouse, Miguel A. L. Nicolelis, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Representation of freely-explored objects in the primary somatosensory cortex and hippocampus

Herman Martins Gomes, Miguel A. L. Nicolelis, Nivaldo A. P. de Vasconcelos, 2011 .

Conceptual and Technical Approaches to Human Neural Ensemble Recordings

Miguel A. L. Nicolelis, Dennis A. Turner, Parag G. Patil, 2008 .

Brain-to-Brain Interfaces: When Reality Meets Science Fiction

Miguel A. L. Nicolelis, M. Nicolelis, 2014, Cerebrum : the Dana forum on brain science.

Wavelet Average Coefficient: a New Statistical Feature for Capturing the Temporal Pattern of Spike Trains, With Application in Brain Machine Interface

Laurent Itti, Miguel A. L. Nicolelis, Mikhail A. Lebedev, 2021 .

State-of-the-Art Microwire Array Design for Chronic Neural Recordings in Behaving Animals

Miguel A. L. Nicolelis, Miguel A. L. Nicolelis, Gary Lehew, 2008 .

A multichannel CMOS analog front end IC for neural recordings

Miguel A. L. Nicolelis, Patrick D. Wolf, James C. Morizio, 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

Methods for Simultaneous Multisite Neural Ensemble Recordings in Behaving Primates

Miguel A. L. Nicolelis, Miguel A. L. Nicolelis, Mark Laubach, 1998 .

Population Representation During Spiral Tracing Motor Cortical Activity During Drawing Movements

John F. Kalaska, Miguel A. L. Nicolelis, Mikhail A. Lebedev, 2015 .

Expanding the primate body schema in sensorimotor cortex by virtual touches of an avatar

Miguel A. L. Nicolelis, Hannes Bleuler, Solaiman Shokur, 2013, Proceedings of the National Academy of Sciences.

Interbrain cortical synchronization encodes multiple aspects of social interactions in monkey pairs

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Gary Lehew, 2018, Scientific Reports.

Cortical Correlates of Fitts’ Law

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Peter J. Ifft, 2011, Front. Integr. Neurosci..

Reprogramming movements: extraction of motor intentions from cortical ensemble activity when movement goals change

Miguel A. L. Nicolelis, Mikhail A. Lebedev, Peter J. Ifft, 2012, Front. Neuroeng..

Special issue on brain-machine interfaces: Editorial

Miguel A. L. Nicolelis, Niels Birbaumer, Miguel A. L. Nicolelis, 2004 .