BMI

• Dec 4, 2017 - Even-Chen et al 2017: Augmenting intracortical brain-machine interface with neurally driven error detectors
• Aug 9, 2017 - BMI skill acquisition through stimulation
• Jul 27, 2017 - Assisted MCMC -- Learning from human preferences
• Dec 17, 2016 - Lebedev, Carmena et al 2005: Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface
• May 7, 2016 - McNiel, [...] & Francis 2016: Classifier performance in primary somatosensory cortex towards implementation of a reinforcement learning based brain machine interface
• Apr 30, 2016 - Chavarriaga, Sobolewski & Millan 2014: Errare machinale est: the use of error-related potentials in brain-machine interfaces
• Apr 28, 2016 - Dadarlat, O'Doherty & Sabes 2015: A learning-based approach to artificial sensory feedback leads to optimal integration
• Apr 12, 2016 - Optimum mean square linear filter notes
• Apr 5, 2016 - Wireless Headstage: Validation of signal quality IV - Results
• Apr 4, 2016 - Wireless Headstage: Validation of signal quality III - Computation and Methods
• Mar 31, 2016 - Wireless Headstage: Validation of signal quality II - Metrics
• Mar 27, 2016 - Wireless Headstage: Validation of signal quality I
• Feb 17, 2016 - Compilation of unconventional electrodes
• Feb 17, 2016 - The Brain Electric - Science journalism on the field of BMI
• Jan 28, 2016 - Koralek et al 2012: Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills
• Jan 27, 2016 - Golub et al 2016: Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control
• Jan 26, 2016 - Wireless Headstage: gtkclient notes
• Jan 26, 2016 - Wireless Headstage: Generate oscillations by setting IIR coefficients
• Jan 26, 2016 - Wireless Headstage: Spike sorting via PCA and spike detection with SAA
• Jan 26, 2016 - Wireless Headstage: Blackfin BF532 headstage firmware setup
• Jan 26, 2016 - Wireless Headstage: Radio transmission protocol between headstage and gtkclient.
• Jan 26, 2016 - Wireless Headstage: Least-Mean Squared (LMS) adaptive noise cancellation.
• Jan 6, 2016 - Wireless Headstage: Implementing direct-form I biquad IIR filters
• Dec 25, 2015 - Wireless Headstage: Blackfin BF532 communcation with Intan RHD2132 via SPI simulation via SPORT
• Dec 24, 2015 - Wireless Headstage: AGC with Blackfin BF532 and Intan RHD2132
• Jul 28, 2015 - Shenoy, Kaufman, Sahani, Churchland 2011: A dynamical systems view of motor preparation: Implications for neural prosthetic system design
• Jul 28, 2015 - Shenoy, Carmena 2014: Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces
• Jul 28, 2015 - Raspopovic, Micera 2014: Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses
• Jul 28, 2015 - Orsborn, Carmena 2014: Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control
• Jul 28, 2015 - Gowda, Carmena 2014: Designing Dynamical Properties of Brain–Machine Interfaces to Optimize Task-Specific Performance
• Jul 27, 2015 - Sanchez 2014 - Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization
• Jul 27, 2015 - Sanchez 2013 - Towards autonomous neuroprosthetic control using Hebbian reinforcement learing
• Jul 27, 2015 - Ganguly, Carmena 2011: Reversible large-scale modification of cortical networks during neuroprosthetic control
• Jul 27, 2015 - Francis 2015 - Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning
• Jul 26, 2015 - Sanchez 2011: Control of a Center-Out Reaching Task Using a Reinforcement Learning Brain-Machine Interface
• Jul 26, 2015 - DiGiovanna 2009: Coadaptive Brain-Machine Interface via Reinforcement Learning

Bengio

• Jul 26, 2015 - Deep Learning - Review by LeCun, Bengio, and Hinton

Blackfin

• Apr 5, 2016 - Wireless Headstage: Validation of signal quality IV - Results
• Apr 4, 2016 - Wireless Headstage: Validation of signal quality III - Computation and Methods
• Mar 31, 2016 - Wireless Headstage: Validation of signal quality II - Metrics
• Mar 27, 2016 - Wireless Headstage: Validation of signal quality I
• Jan 26, 2016 - Wireless Headstage: gtkclient notes
• Jan 26, 2016 - Wireless Headstage: Generate oscillations by setting IIR coefficients
• Jan 26, 2016 - Wireless Headstage: Spike sorting via PCA and spike detection with SAA
• Jan 26, 2016 - Wireless Headstage: Blackfin BF532 headstage firmware setup
• Jan 26, 2016 - Wireless Headstage: Radio transmission protocol between headstage and gtkclient.
• Jan 26, 2016 - Wireless Headstage: Least-Mean Squared (LMS) adaptive noise cancellation.
• Jan 6, 2016 - Wireless Headstage: Implementing direct-form I biquad IIR filters
• Dec 25, 2015 - Wireless Headstage: Blackfin BF532 communcation with Intan RHD2132 via SPI simulation via SPORT
• Dec 24, 2015 - Wireless Headstage: AGC with Blackfin BF532 and Intan RHD2132

Boninger

• Aug 9, 2017 - BMI skill acquisition through stimulation

Books

• Feb 17, 2016 - The Brain Electric - Science journalism on the field of BMI

Byron Yu

• Feb 13, 2023 - Neuronal correlations and dimensionality reduction

Carmena

• Dec 17, 2016 - Lebedev, Carmena et al 2005: Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface
• Jan 28, 2016 - Koralek et al 2012: Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills
• Jul 28, 2015 - Shenoy, Carmena 2014: Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces
• Jul 28, 2015 - Orsborn, Carmena 2014: Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control
• Jul 28, 2015 - Gowda, Carmena 2014: Designing Dynamical Properties of Brain–Machine Interfaces to Optimize Task-Specific Performance
• Jul 27, 2015 - Ganguly, Carmena 2011: Reversible large-scale modification of cortical networks during neuroprosthetic control

Churchland

• Jul 28, 2015 - Shenoy, Kaufman, Sahani, Churchland 2011: A dynamical systems view of motor preparation: Implications for neural prosthetic system design

Collinger

• Aug 9, 2017 - BMI skill acquisition through stimulation

Context dependence

• May 1, 2016 - Fogassi, Rizzolatti 2005: Parietal Lobe: From Action Organization to Intention Understanding

DSP

• Nov 1, 2022 - Signal Processing Notes 2
• May 5, 2018 - Signal Processing Notes
• Feb 24, 2017 - Using FemtoBeacon with ROS
• Apr 12, 2016 - Optimum mean square linear filter notes
• Apr 5, 2016 - Wireless Headstage: Validation of signal quality IV - Results
• Apr 4, 2016 - Wireless Headstage: Validation of signal quality III - Computation and Methods
• Mar 31, 2016 - Wireless Headstage: Validation of signal quality II - Metrics
• Mar 27, 2016 - Wireless Headstage: Validation of signal quality I
• Jan 26, 2016 - Wireless Headstage: Generate oscillations by setting IIR coefficients
• Jan 26, 2016 - Wireless Headstage: Spike sorting via PCA and spike detection with SAA
• Jan 26, 2016 - Wireless Headstage: Least-Mean Squared (LMS) adaptive noise cancellation.
• Jan 6, 2016 - Wireless Headstage: Implementing direct-form I biquad IIR filters
• Dec 24, 2015 - Wireless Headstage: AGC with Blackfin BF532 and Intan RHD2132

Deep Learning

• Apr 5, 2024 - A Cross-Modal approach to silent speech with LLM-Enhanced recognition
• Dec 17, 2023 - Neurips 2023 neuro-ml round up
• Feb 22, 2018 - Hints from biology
• Jul 27, 2015 - Sanchez 2014 - Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization
• Jul 27, 2015 - Sanchez 2013 - Towards autonomous neuroprosthetic control using Hebbian reinforcement learing
• Jul 27, 2015 - Francis 2015 - Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning
• Jul 26, 2015 - Sanchez 2011: Control of a Center-Out Reaching Task Using a Reinforcement Learning Brain-Machine Interface
• Jul 26, 2015 - DiGiovanna 2009: Coadaptive Brain-Machine Interface via Reinforcement Learning
• Jul 26, 2015 - Deep Learning - Review by LeCun, Bengio, and Hinton

Dimensionality Reduction

• Feb 26, 2023 - PCA vs. FA: Theoretical and practical differences
• Feb 13, 2023 - Neuronal correlations and dimensionality reduction

Distance measures

• Apr 5, 2016 - Wireless Headstage: Validation of signal quality IV - Results
• Apr 4, 2016 - Wireless Headstage: Validation of signal quality III - Computation and Methods
• Mar 31, 2016 - Wireless Headstage: Validation of signal quality II - Metrics
• Mar 27, 2016 - Wireless Headstage: Validation of signal quality I

EPFL

• Jul 28, 2015 - Raspopovic, Micera 2014: Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses

Electrodes

• Feb 17, 2016 - Compilation of unconventional electrodes

Endurance

• Jun 6, 2022 - Physiology of endurance training

Fetz

• Aug 9, 2017 - BMI skill acquisition through stimulation

Fogassi

• May 1, 2016 - Fogassi, Rizzolatti 2005: Parietal Lobe: From Action Organization to Intention Understanding

Francis

• May 7, 2016 - McNiel, [...] & Francis 2016: Classifier performance in primary somatosensory cortex towards implementation of a reinforcement learning based brain machine interface
• Jul 27, 2015 - Francis 2015 - Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning

Ganguly

• Jul 27, 2015 - Ganguly, Carmena 2011: Reversible large-scale modification of cortical networks during neuroprosthetic control

Gilja

• Apr 12, 2016 - Optimum mean square linear filter notes

Hinton

• Jul 26, 2015 - Deep Learning - Review by LeCun, Bengio, and Hinton

Intan

• Jan 6, 2016 - Wireless Headstage: Implementing direct-form I biquad IIR filters
• Dec 25, 2015 - Wireless Headstage: Blackfin BF532 communcation with Intan RHD2132 via SPI simulation via SPORT
• Dec 24, 2015 - Wireless Headstage: AGC with Blackfin BF532 and Intan RHD2132

Intention

• May 1, 2016 - Fogassi, Rizzolatti 2005: Parietal Lobe: From Action Organization to Intention Understanding

Kalman filters

• Apr 12, 2016 - Optimum mean square linear filter notes

Kandel et al. Principles of Neuroscience

• Jul 13, 2015 - KS Ch. 37: Voluntary Movement - The Primary Motor Cortex
• Jul 13, 2015 - KS Ch. 33: The organization and planning of movement

Latex

• Aug 22, 2018 - Latex biblography tricks

LeCun

• Jul 26, 2015 - Deep Learning - Review by LeCun, Bengio, and Hinton

Lebedev

• Dec 17, 2016 - Lebedev, Carmena et al 2005: Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface

Linear Algebra

• Feb 26, 2023 - PCA vs. FA: Theoretical and practical differences
• Feb 26, 2023 - Matrix Cookbook
• Feb 13, 2023 - Neuronal correlations and dimensionality reduction
• Sep 30, 2018 - Linear Algebra Intuition
• Apr 21, 2016 - Linear Algebra Notes

Machine Learning

• Apr 5, 2024 - A Cross-Modal approach to silent speech with LLM-Enhanced recognition
• Dec 17, 2023 - Neurips 2023 neuro-ml round up
• Feb 26, 2023 - PCA vs. FA: Theoretical and practical differences
• Jan 21, 2022 - The Eighty Five Percent Rule for optimal learning
• Jul 27, 2017 - Assisted MCMC -- Learning from human preferences
• Apr 30, 2016 - Chavarriaga, Sobolewski & Millan 2014: Errare machinale est: the use of error-related potentials in brain-machine interfaces
• Apr 10, 2016 - Notes on Learning from Data
• Jul 28, 2015 - Gowda, Carmena 2014: Designing Dynamical Properties of Brain–Machine Interfaces to Optimize Task-Specific Performance
• Jul 27, 2015 - Sanchez 2014 - Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization
• Jul 27, 2015 - Sanchez 2013 - Towards autonomous neuroprosthetic control using Hebbian reinforcement learing
• Jul 27, 2015 - Francis 2015 - Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning
• Jul 26, 2015 - Sanchez 2011: Control of a Center-Out Reaching Task Using a Reinforcement Learning Brain-Machine Interface
• Jul 26, 2015 - DiGiovanna 2009: Coadaptive Brain-Machine Interface via Reinforcement Learning
• Jul 26, 2015 - Deep Learning - Review by LeCun, Bengio, and Hinton

Metrics

• Sep 15, 2016 - Notes on comparison metrics

Micrcontroller

• Jan 26, 2016 - Wireless Headstage: gtkclient notes
• Jan 26, 2016 - Wireless Headstage: Blackfin BF532 headstage firmware setup

Microcontroller

• Feb 24, 2017 - Using FemtoBeacon with ROS
• Jan 26, 2016 - Wireless Headstage: Generate oscillations by setting IIR coefficients
• Jan 26, 2016 - Wireless Headstage: Spike sorting via PCA and spike detection with SAA
• Jan 26, 2016 - Wireless Headstage: Radio transmission protocol between headstage and gtkclient.
• Jan 26, 2016 - Wireless Headstage: Least-Mean Squared (LMS) adaptive noise cancellation.
• Jan 6, 2016 - Wireless Headstage: Implementing direct-form I biquad IIR filters
• Dec 25, 2015 - Wireless Headstage: Blackfin BF532 communcation with Intan RHD2132 via SPI simulation via SPORT
• Dec 24, 2015 - Wireless Headstage: AGC with Blackfin BF532 and Intan RHD2132

Mirror Neurons

• May 1, 2016 - Fogassi, Rizzolatti 2005: Parietal Lobe: From Action Organization to Intention Understanding

Mountaineering

• Jun 6, 2022 - Physiology of endurance training

Notes

• Sep 30, 2018 - Linear Algebra Intuition
• Aug 22, 2018 - Latex biblography tricks
• Sep 15, 2016 - Notes on comparison metrics
• Apr 21, 2016 - Linear Algebra Notes

O'Doherty

• Apr 28, 2016 - Dadarlat, O'Doherty & Sabes 2015: A learning-based approach to artificial sensory feedback leads to optimal integration

Parietal Lobe

• May 7, 2016 - Platt & Glimcher 1999: Neural correlates of decision variables in parietal cortex
• May 1, 2016 - Fogassi, Rizzolatti 2005: Parietal Lobe: From Action Organization to Intention Understanding

Physiology

• Jun 6, 2022 - Physiology of endurance training

R

• Jan 30, 2018 - Generalized Linear Model (GLM) - ANCOVA and Multiple comparison

References

• Feb 26, 2023 - Matrix Cookbook

Reinforcement Learning

• Jan 28, 2022 - Challenge Point Framework for motor learning
• Jan 21, 2022 - The Eighty Five Percent Rule for optimal learning
• Jul 27, 2017 - Assisted MCMC -- Learning from human preferences
• May 7, 2016 - McNiel, [...] & Francis 2016: Classifier performance in primary somatosensory cortex towards implementation of a reinforcement learning based brain machine interface
• Apr 30, 2016 - Chavarriaga, Sobolewski & Millan 2014: Errare machinale est: the use of error-related potentials in brain-machine interfaces
• Jul 27, 2015 - Sanchez 2014 - Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization
• Jul 27, 2015 - Sanchez 2013 - Towards autonomous neuroprosthetic control using Hebbian reinforcement learing
• Jul 27, 2015 - Francis 2015 - Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning
• Jul 26, 2015 - Sanchez 2011: Control of a Center-Out Reaching Task Using a Reinforcement Learning Brain-Machine Interface
• Jul 26, 2015 - DiGiovanna 2009: Coadaptive Brain-Machine Interface via Reinforcement Learning

Review

• Apr 30, 2016 - Chavarriaga, Sobolewski & Millan 2014: Errare machinale est: the use of error-related potentials in brain-machine interfaces
• Jan 27, 2016 - Golub et al 2016: Brain-computer interfaces for dissecting cognitive processes underlying sensorimotor control
• Jul 26, 2015 - Deep Learning - Review by LeCun, Bengio, and Hinton

Reward Modulations

• Dec 4, 2017 - Even-Chen et al 2017: Augmenting intracortical brain-machine interface with neurally driven error detectors
• Jul 27, 2015 - Francis 2015 - Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning

Rizzolatti

• May 1, 2016 - Fogassi, Rizzolatti 2005: Parietal Lobe: From Action Organization to Intention Understanding

Sabes

• Apr 28, 2016 - Dadarlat, O'Doherty & Sabes 2015: A learning-based approach to artificial sensory feedback leads to optimal integration

Sanchez

• Jul 27, 2015 - Sanchez 2014 - Using Reinforcement Learning to Provide Stable Brain-Machine Interface Control Despite Neural Input Reorganization
• Jul 27, 2015 - Sanchez 2013 - Towards autonomous neuroprosthetic control using Hebbian reinforcement learing
• Jul 26, 2015 - Sanchez 2011: Control of a Center-Out Reaching Task Using a Reinforcement Learning Brain-Machine Interface
• Jul 26, 2015 - DiGiovanna 2009: Coadaptive Brain-Machine Interface via Reinforcement Learning

Shadmehr and Wise. The Computational Neurobiology of Reaching and Pointing

• Jul 13, 2015 - SW Ch. 8: What provides limb stability?
• Jul 13, 2015 - SW Ch. 7: What generates force and feedback?

Shenoy

• Dec 4, 2017 - Even-Chen et al 2017: Augmenting intracortical brain-machine interface with neurally driven error detectors
• Apr 12, 2016 - Optimum mean square linear filter notes
• Jul 28, 2015 - Shenoy, Kaufman, Sahani, Churchland 2011: A dynamical systems view of motor preparation: Implications for neural prosthetic system design
• Jul 28, 2015 - Shenoy, Carmena 2014: Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces

Signal processing

• Nov 1, 2022 - Signal Processing Notes 2
• May 5, 2018 - Signal Processing Notes
• Apr 12, 2016 - Optimum mean square linear filter notes

Spike train analysis

• Apr 5, 2016 - Wireless Headstage: Validation of signal quality IV - Results
• Apr 4, 2016 - Wireless Headstage: Validation of signal quality III - Computation and Methods
• Mar 31, 2016 - Wireless Headstage: Validation of signal quality II - Metrics
• Mar 27, 2016 - Wireless Headstage: Validation of signal quality I

Statistics

• Jan 31, 2018 - More linear models
• Jan 30, 2018 - Generalized Linear Model (GLM) - ANCOVA and Multiple comparison
• Oct 14, 2017 - Chi-squared post-hoc test, and how trolly statistical testing is
• Sep 15, 2016 - Notes on comparison metrics

Wireless

• Feb 24, 2017 - Using FemtoBeacon with ROS
• Apr 5, 2016 - Wireless Headstage: Validation of signal quality IV - Results
• Apr 4, 2016 - Wireless Headstage: Validation of signal quality III - Computation and Methods
• Mar 31, 2016 - Wireless Headstage: Validation of signal quality II - Metrics
• Mar 27, 2016 - Wireless Headstage: Validation of signal quality I
• Jan 26, 2016 - Wireless Headstage: gtkclient notes
• Jan 26, 2016 - Wireless Headstage: Generate oscillations by setting IIR coefficients
• Jan 26, 2016 - Wireless Headstage: Spike sorting via PCA and spike detection with SAA
• Jan 26, 2016 - Wireless Headstage: Blackfin BF532 headstage firmware setup
• Jan 26, 2016 - Wireless Headstage: Radio transmission protocol between headstage and gtkclient.
• Jan 26, 2016 - Wireless Headstage: Least-Mean Squared (LMS) adaptive noise cancellation.
• Jan 6, 2016 - Wireless Headstage: Implementing direct-form I biquad IIR filters
• Dec 25, 2015 - Wireless Headstage: Blackfin BF532 communcation with Intan RHD2132 via SPI simulation via SPORT
• Dec 24, 2015 - Wireless Headstage: AGC with Blackfin BF532 and Intan RHD2132

cortical stimulation

• Aug 9, 2017 - BMI skill acquisition through stimulation
• Apr 28, 2016 - Dadarlat, O'Doherty & Sabes 2015: A learning-based approach to artificial sensory feedback leads to optimal integration

data efficient techniques

• Dec 17, 2023 - Neurips 2023 neuro-ml round up

decision

• May 7, 2016 - Platt & Glimcher 1999: Neural correlates of decision variables in parietal cortex

error-related potentials

• Dec 4, 2017 - Even-Chen et al 2017: Augmenting intracortical brain-machine interface with neurally driven error detectors
• May 7, 2016 - McNiel, [...] & Francis 2016: Classifier performance in primary somatosensory cortex towards implementation of a reinforcement learning based brain machine interface
• Apr 30, 2016 - Chavarriaga, Sobolewski & Millan 2014: Errare machinale est: the use of error-related potentials in brain-machine interfaces

github

• Jul 5, 2015 - My first post

github-pages

• Jul 12, 2015 - Generating tags in Jekyll
• Jul 5, 2015 - My first post

ideas

• Feb 22, 2018 - Hints from biology
• Jul 27, 2017 - Assisted MCMC -- Learning from human preferences

jekyll

• Oct 14, 2017 - More Jekyll and CSS
• Jan 6, 2016 - Solving jekyll highlight line numbers
• Jul 12, 2015 - Generating tags in Jekyll
• Jul 5, 2015 - My first post

learning

• Jan 28, 2022 - Challenge Point Framework for motor learning
• Jan 21, 2022 - The Eighty Five Percent Rule for optimal learning

linear models

• Jan 31, 2018 - More linear models
• Jan 30, 2018 - Generalized Linear Model (GLM) - ANCOVA and Multiple comparison

motor cortex

• Dec 17, 2016 - Lebedev, Carmena et al 2005: Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface
• Jul 27, 2015 - Francis 2015 - Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning
• Jul 13, 2015 - KS Ch. 37: Voluntary Movement - The Primary Motor Cortex

motor feedback

• Jul 28, 2015 - Raspopovic, Micera 2014: Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses
• Jul 13, 2015 - SW Ch. 8: What provides limb stability?
• Jul 13, 2015 - SW Ch. 7: What generates force and feedback?

motor movements

• Dec 17, 2016 - Lebedev, Carmena et al 2005: Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface
• Jul 13, 2015 - SW Ch. 8: What provides limb stability?
• Jul 13, 2015 - SW Ch. 7: What generates force and feedback?
• Jul 13, 2015 - KS Ch. 37: Voluntary Movement - The Primary Motor Cortex

motor system

• Jul 28, 2015 - Shenoy, Kaufman, Sahani, Churchland 2011: A dynamical systems view of motor preparation: Implications for neural prosthetic system design
• Jul 28, 2015 - Orsborn, Carmena 2014: Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control
• Jul 27, 2015 - Ganguly, Carmena 2011: Reversible large-scale modification of cortical networks during neuroprosthetic control
• Jul 13, 2015 - SW Ch. 8: What provides limb stability?
• Jul 13, 2015 - SW Ch. 7: What generates force and feedback?
• Jul 13, 2015 - KS Ch. 37: Voluntary Movement - The Primary Motor Cortex
• Jul 13, 2015 - KS Ch. 33: The organization and planning of movement

neural decoding

• Apr 12, 2016 - Optimum mean square linear filter notes
• Jul 28, 2015 - Shenoy, Kaufman, Sahani, Churchland 2011: A dynamical systems view of motor preparation: Implications for neural prosthetic system design
• Jul 28, 2015 - Shenoy, Carmena 2014: Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces
• Jul 28, 2015 - Orsborn, Carmena 2014: Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control
• Jul 28, 2015 - Gowda, Carmena 2014: Designing Dynamical Properties of Brain–Machine Interfaces to Optimize Task-Specific Performance
• Jul 27, 2015 - Sanchez 2013 - Towards autonomous neuroprosthetic control using Hebbian reinforcement learing
• Jul 27, 2015 - Ganguly, Carmena 2011: Reversible large-scale modification of cortical networks during neuroprosthetic control
• Jul 27, 2015 - Francis 2015 - Toward an Autonomous Brain Machine Interface: Integrating Sensorimotor Reward Modulation and Reinforcement Learning
• Jul 13, 2015 - KS Ch. 37: Voluntary Movement - The Primary Motor Cortex

neuroplasticity

• Dec 17, 2016 - Lebedev, Carmena et al 2005: Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface
• Jan 28, 2016 - Koralek et al 2012: Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills
• Jul 28, 2015 - Shenoy, Carmena 2014: Combining Decoder Design and Neural Adaptation in Brain-Machine Interfaces
• Jul 28, 2015 - Orsborn, Carmena 2014: Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control
• Jul 27, 2015 - Ganguly, Carmena 2011: Reversible large-scale modification of cortical networks during neuroprosthetic control

neuroscience reading

• Jul 13, 2015 - SW Ch. 8: What provides limb stability?
• Jul 13, 2015 - SW Ch. 7: What generates force and feedback?
• Jul 13, 2015 - KS Ch. 37: Voluntary Movement - The Primary Motor Cortex
• Jul 13, 2015 - KS Ch. 33: The organization and planning of movement

optimal subspace hypothesis

• Jul 28, 2015 - Shenoy, Kaufman, Sahani, Churchland 2011: A dynamical systems view of motor preparation: Implications for neural prosthetic system design

peripheral stimulation

• Jul 28, 2015 - Raspopovic, Micera 2014: Restoring Natural Sensory Feedback in Real-Time Bidirectional Hand Prostheses

post parietal cortex

• Feb 22, 2018 - Hints from biology

premotor cortex

• Jul 28, 2015 - Shenoy, Kaufman, Sahani, Churchland 2011: A dynamical systems view of motor preparation: Implications for neural prosthetic system design

proprioception

• Jul 13, 2015 - SW Ch. 8: What provides limb stability?
• Jul 13, 2015 - SW Ch. 7: What generates force and feedback?

sensory

• Feb 22, 2018 - Hints from biology

sensory-motor integration

• May 7, 2016 - Platt & Glimcher 1999: Neural correlates of decision variables in parietal cortex

sensory feedback

• Aug 9, 2017 - BMI skill acquisition through stimulation
• Apr 28, 2016 - Dadarlat, O'Doherty & Sabes 2015: A learning-based approach to artificial sensory feedback leads to optimal integration

silent speech

• Jul 14, 2024 - Semantic encoding in single cell level
• Apr 5, 2024 - A Cross-Modal approach to silent speech with LLM-Enhanced recognition

striatum

• Jan 28, 2016 - Koralek et al 2012: Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills

tDCS

• Aug 9, 2017 - BMI skill acquisition through stimulation

webdev

• Oct 14, 2017 - More Jekyll and CSS
• Jan 6, 2016 - Solving jekyll highlight line numbers
• Jul 12, 2015 - Generating tags in Jekyll