4.7 Article

Modeling behaviorally relevant neural dynamics enabled by preferential subspace identification

Related references

Note: Only part of the references are listed.
Article Engineering, Biomedical

Adaptive tracking of human ECoG network dynamics

Parima Ahmadipour et al.

Summary: This study focuses on using an adaptive linear state-space model to analyze the dynamics of multi-site electrocorticogram (ECoG) network activity. The results show that adaptive modeling significantly improves the prediction of ECoG network dynamics compared to non-adaptive modeling, while also allowing for additional dimensionality reduction. The findings suggest that ECoG network dynamics exhibit non-stationarity, which can be effectively tracked using adaptive modeling techniques.

JOURNAL OF NEURAL ENGINEERING (2021)

Article Neurosciences

Long-term stability of cortical population dynamics underlying consistent behavior

Juan A. Gallego et al.

NATURE NEUROSCIENCE (2020)

Article Engineering, Biomedical

Developing a personalized closed-loop controller of medically-induced coma in a rodent model

Yuxiao Yang et al.

JOURNAL OF NEURAL ENGINEERING (2019)

Article Neurosciences

Cortical Areas Interact through a Communication Subspace

Joao D. Semedo et al.

NEURON (2019)

Article Engineering, Biomedical

Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks

Chuanmeizhi Wang et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2019)

Article Engineering, Biomedical

Dynamic network modeling and dimensionality reduction for human ECoG activity

Yuxiao Yang et al.

JOURNAL OF NEURAL ENGINEERING (2019)

Article Engineering, Biomedical

Sparse model-based estimation of functional dependence in high-dimensional field and spike multiscale networks

Ramin Bighamian et al.

JOURNAL OF NEURAL ENGINEERING (2019)

Editorial Material Multidisciplinary Sciences

Crystal-clear treatment for allergic disease

Judith E. Allen et al.

SCIENCE (2019)

Article Multidisciplinary Sciences

Spontaneous behaviors drive multidimensional, brainwide activity

Carsen Stringer et al.

SCIENCE (2019)

Article Biology

Extrinsic and intrinsic dynamics in movement intermittency

Damar Susilaradeya et al.

ELIFE (2019)

Article Engineering, Biomedical

A Multiscale Dynamical Modeling and Identification Framework for Spike-Field Activity

Hamidreza Abbaspourazad et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2019)

Article Neurosciences

Accurate Estimation of Neural Population Dynamics without Spike Sorting

Eric M. Trautmann et al.

NEURON (2019)

Article Engineering, Biomedical

A point-process matched filter for event detection and decoding from population spike trains

Nitin Sadras et al.

JOURNAL OF NEURAL ENGINEERING (2019)

Article Neurosciences

Brain-machine interfaces from motor to mood

Maryam M. Shanechi

NATURE NEUROSCIENCE (2019)

Article Engineering, Biomedical

Multiscale modeling and decoding algorithms for spike-field activity

Han-Lin Hsieh et al.

JOURNAL OF NEURAL ENGINEERING (2019)

Proceedings Paper Engineering, Biomedical

Investigating the effect of forgetting factor on tracking non-stationary neural dynamics

Parima Ahmadipour et al.

2019 9TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER) (2019)

Article Multidisciplinary Sciences

Amygdala ensembles encode behavioral states

Jan Grundemann et al.

SCIENCE (2019)

Article Neurosciences

Neural mechanisms of movement planning: motor cortex and beyond

Karel Svoboda et al.

CURRENT OPINION IN NEUROBIOLOGY (2018)

Article Biochemical Research Methods

Optimizing the learning rate for adaptive estimation of neural encoding models

Han-Lin Hsieh et al.

PLOS COMPUTATIONAL BIOLOGY (2018)

Article Biotechnology & Applied Microbiology

Mood variations decoded from multi-site intracranial human brain activity

Omid G. Sani et al.

NATURE BIOTECHNOLOGY (2018)

Article Biochemical Research Methods

Inferring single-trial neural population dynamics using sequential auto-encoders

Chethan Pandarinath et al.

NATURE METHODS (2018)

Review Behavioral Sciences

Decoding Cognitive Processes from Neural Ensembles

Joni D. Wallis

TRENDS IN COGNITIVE SCIENCES (2018)

Review Behavioral Sciences

A Dynamical Systems Perspective on Flexible Motor Timing

Evan D. Remington et al.

TRENDS IN COGNITIVE SCIENCES (2018)

Article Multidisciplinary Sciences

Cortical population activity within a preserved neural manifold underlies multiple motor behaviors

Juan A. Gallego et al.

NATURE COMMUNICATIONS (2018)

Article Engineering, Biomedical

Brain-Machine Interface Control Algorithms

Maryam M. Shanechi

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2017)

Article Neurosciences

Encoding of Both Reaching and Grasping Kinematics in Dorsal and Ventral Premotor Cortices

Kazutaka Takahashi et al.

JOURNAL OF NEUROSCIENCE (2017)

Review Neurosciences

Neural Manifolds for the Control of Movement

Juan A. Gallego et al.

NEURON (2017)

Review Behavioral Sciences

The Distributed Nature of Working Memory

Thomas B. Christophel et al.

TRENDS IN COGNITIVE SCIENCES (2017)

Article Multidisciplinary Sciences

Rapid control and feedback rates enhance neuroprosthetic control

Maryam M. Shanechi et al.

NATURE COMMUNICATIONS (2017)

Review Neurosciences

Biomarkers and Stimulation Algorithms for Adaptive Brain Stimulation

Kimberly B. Hoang et al.

FRONTIERS IN NEUROSCIENCE (2017)

Article Engineering, Biomedical

Inference and Decoding of Motor Cortex Low-Dimensional Dynamics via Latent State-Space Models

Mehdi Aghagolzadeh et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)

Article Engineering, Biomedical

Decoding three-dimensional reaching movements using electrocorticographic signals in humans

David T. Bundy et al.

JOURNAL OF NEURAL ENGINEERING (2016)

Article Cell Biology

Information Coding through Adaptive Gating of Synchronized Thalamic Bursting

Clarissa J. Whitmire et al.

CELL REPORTS (2016)

Article Biochemical Research Methods

Robust Brain-Machine Interface Design Using Optimal Feedback Control Modeling and Adaptive Point Process Filtering

Maryam M. Shanechi et al.

PLOS COMPUTATIONAL BIOLOGY (2016)

Review Neurosciences

Automatic Speech Recognition from Neural Signals: A Focused Review

Christian Herff et al.

FRONTIERS IN NEUROSCIENCE (2016)

Article Multidisciplinary Sciences

Premotor and Motor Cortices Encode Reward

Pavan Ramkumar et al.

PLOS ONE (2016)

Article Biochemistry & Molecular Biology

Neuronal Prediction of Opponent's Behavior during Cooperative Social Interchange in Primates

Keren Haroush et al.

Review Neurosciences

On simplicity and complexity in the brave new world of large-scale neuroscience

Peiran Gao et al.

CURRENT OPINION IN NEUROBIOLOGY (2015)

Article Engineering, Biomedical

Representation of continuous hand and arm movements in macaque areas M1, F5, and AIP: a comparative decoding study

Veera Katharina Menz et al.

JOURNAL OF NEURAL ENGINEERING (2015)

Article Engineering, Biomedical

A high performing brain-machine interface driven by low-frequency local field potentials alone and together with spikes

Sergey D. Stavisky et al.

JOURNAL OF NEURAL ENGINEERING (2015)

Article Biochemical Research Methods

A training platform for many-dimensional prosthetic devices using a virtual reality environment

David Putrino et al.

JOURNAL OF NEUROSCIENCE METHODS (2015)

Article Multidisciplinary Sciences

Encoding of action by the Purkinje cells of the cerebellum

David J. Herzfeld et al.

NATURE (2015)

Article Multidisciplinary Sciences

Multiple component networks support working memory in prefrontal cortex

David A. Markowitz et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2015)

Article Multidisciplinary Sciences

Neural constraints on learning

Patrick T. Sadtler et al.

NATURE (2014)

Review Neurosciences

Dimensionality reduction for large-scale neural recordings

John P. Cunningham et al.

NATURE NEUROSCIENCE (2014)

Article Engineering, Electrical & Electronic

Information Systems Opportunities in Brain-Machine Interface Decoders

Jonathan C. Kao et al.

PROCEEDINGS OF THE IEEE (2014)

Review Neurosciences

Cortical Control of Arm Movements: A Dynamical Systems Perspective

Krishna V. Shenoy et al.

ANNUAL REVIEW OF NEUROSCIENCE, VOL 36 (2013)

Article Multidisciplinary Sciences

Context-dependent computation by recurrent dynamics in prefrontal cortex

Valerio Mante et al.

NATURE (2013)

Article Neurosciences

Local field potentials allow accurate decoding of muscle activity

Robert D. Flint et al.

JOURNAL OF NEUROPHYSIOLOGY (2012)

Article Multidisciplinary Sciences

Neural population dynamics during reaching

Mark M. Churchland et al.

NATURE (2012)

Article Computer Science, Artificial Intelligence

LIBSVM: A Library for Support Vector Machines

Chih-Chung Chang et al.

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)

Article Engineering, Biomedical

Neural Decoding of Hand Motion Using a Linear State-Space Model With Hidden States

Wei Wu et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2009)

Review Neurosciences

Brain-controlled interfaces: Movement restoration with neural prosthetics

Andrew B. Schwartz et al.

NEURON (2006)

Article Computer Science, Artificial Intelligence

Bayesian population decoding of motor cortical activity using a Kalman filter

W Wu et al.

NEURAL COMPUTATION (2006)