Affective bias predicts changes in depression during deep brain stimulation therapy . Frontiers In Human Neuroscience, vol. Volume 19 - 2025, March 2025. | |
Online Machine Teaching under Learner Uncertainty: Gradient Descent Learners of a Quadratic Loss . SIAM Journal on Mathematics of Data Science (SIMODS), March 2025. In press | |
Proceedings of the 12th Annual Deep Brain Stimulation Think Tank: Cutting Edge Technology meets Novel Applications . Frontiers in Human Neuroscience, January 2025. | |
Modeling Latent Dynamics of the Autonomic Nervous System in Response to Trauma Recall and Non-Invasive Vagus Nerve Stimulation . IEEE Transactions on Biomedical Engineering, January 2025. Under review | |
Remote monitoring of cardiovascular autonomic dysfunction in synucleinopathies with a wearable chest patch . IEEE Sensors Journal, 25(4), pp. 7250-7262, January 2025. | |
Brain Biomarkers for Pain Sensitivity . JAMA Neurology, January 2025. | |
An application-based taxonomy for brain–computer interfaces . Nature Biomedical Engineering, December 2024. | |
Enhancing Human-in-the-Loop Learning for Binary Sentiment Word Classification . In IEEE Conference on Decision and Control (CDC), December 2024. | |
Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics . In Neural Information Processing Systems (NeurIPS), December 2024. (Acceptance rate 26%) | |
Bridging model and experiment in systems neuroscience with Cleo: the Closed-Loop, Electrophysiology, and Optophysiology simulation testbed . November 2024. Under review. | |
Learning Internal Representations of 3D Transformations from 2D Projected Inputs . Neural Computation, 36(11), pp. 2505–2539, November 2024. | |
Neural Interoceptive Processing is Modulated by Deep Brain Stimulation to Subcallosal Cingulate Cortex for Treatment Resistant Depression . Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, November 2024. In press. | |
StressFADS: Learning Latent Autonomic Factors of Stress in the Context of Trauma Recall and Neuromodulation . In International Conference on Body Sensor Networks (BSN), October 2024. | |
LINOCS: Lookahead Inference of Networked Operators for Continuous Stability . Transactions on Machine Learning Research, September 2024. | |
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics . Journal of Machine Learning Research, 25(59), pp. 1–44, April 2024. | |
Subcallosal Cingulate Deep Brain Stimulation Evokes Two Distinct Cortical Responses via Differential White Matter Activation . Proceedings of the National Academy of Sciences, 121(14), pp. e2314918121, March 2024. | |
Cortical signatures of sleep are altered following effective deep brain stimulation for depression . Translational Psychiatry, 14(1), pp. 103, February 2024. | |
Manifold Contrastive Learning with Variational Lie Group Operators . Transactions on Machine Learning Research, February 2024. | |
Cingulate dynamics track depression recovery with deep brain stimulation . Nature, vol. 622, pp. 130–138, October 2023. | |
Neuroethics guidance documents: Principles, analysis, and implementation strategies . Journal of Law and the Biosciences, 10(2), pp. lsad025, October 2023. | |
Distance preservation in state-space methods for detecting causal interactions in dynamical systems . August 2023. Under review. | |
Leveraging Physiological Markers to Quantify the Transient Effects of Traumatic Stress and Non-Invasive Neuromodulation . In International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2023. \textbfSelected for oral presentation. | |
What governs attitudes toward artificial intelligence adoption and governance? . Science and Public Policy, 50(2), pp. 161–176, April 2023. | |
Active Learning of Ordinal Embeddings: A User Study on Football Data . Transactions on Machine Learning Research, April 2023. | |
Exploration of Acute Effects of Stimulation Frequency on Subcallosal Cingulate Dynamics in SCC DBS . In 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), April 2023. | |
A low-complexity brain-computer interface for high-complexity robot swarm control . IEEE in Transactions on Neural Systems & Rehabilitation Engineering, vol. 31, pp. 1816–1825, March 2023. | |
Learning Identity-Preserving Transformations on Data Manifolds . Transactions on Machine Learning Research, March 2023. | |
Pain is Reduced by Transcutaneous Cervical Vagus Nerve Stimulation and Correlated with Cardiorespiratory Variability Measures in the Context of Opioid Withdrawal . Frontiers in Pain Research, vol. 3, pp. 1031368, November 2022. | |
Transcutaneous Cervical Vagus Nerve Stimulation Reduces Respiratory Variability in the Context of Opioid Withdrawal . In IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), September 2022. | |
Time-frequency signatures evoked by single-pulse deep brain stimulation to the subcallosal cingulate . Frontiers in Human Neuroscience, vol. 16, August 2022. | |
Passively Captured Interpersonal Social Interactions and Motion from Smartphones Predicts Decompensation in Heart Failure: An Observational Cohort Study . JMIR Formative Research, 6(8), pp. e36972, August 2022. | |
Variational Sparse Coding with Learned Thresholding . In International Conference on Machine Learning (ICML), July 2022. \textbfSelected for oral presentation. (Acceptance rate 22%) | |
Proceedings of the Ninth Annual Deep Brain Stimulation Think Tank: Advances in Cutting Edge Technologies, Artificial Intelligence, Neuromodulation, Neuroethics, Pain, Interventional Psychiatry, Epilepsy and Traumatic Brain Injury . Frontiers in Human Neuroscience, vol. 16, March 2022. | |
Constrained brain volume in an efficient coding model explains the fraction of excitatory and inhibitory neurons in sensory cortices . PLOS Computational Biology, 18(1), pp. e1009642, January 2022. | |
Infrared Search and Track with Unbalanced Optimal Transport Dynamics Regularization . IEEE Geoscience and Remote Sensing Letters, 18(12), pp. 2072–2076, December 2021. | |
Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring during Hemorrhage . IEEE Transactions on Biomedical Engineering, 68(6), pp. 1759-1767, June 2021. | |
Towards Democratizing and Automating Online Conferences: Lessons from the Neuromatch Conferences . Trends in Cognitive Sciences, 25(4), pp. 265-268, April 2021. | |
Variational Autoencoder with Learned Latent Structure . In International Conference on Artificial Intelligence and Statistics (AISTATS), April 2021. (Acceptance rate 30%) | |
Feedback Coding for Active Learning . In International Conference on Artificial Intelligence and Statistics (AISTATS), April 2021. (Acceptance rate 30%) | |
A 17.8 MS/s Compressed Sensing Radar Accelerator Using a Spiking Neural Network . IEEE Journal of Solid State Circuits, 56(3), pp. 834–843, March 2021. | |
State-space optimal feedback control of optogenetically driven neural activity . Journal of Neural Engineering, 18(3), pp. 036006, March 2021. | |
Generative causal explanations of black-box classifiers . In Neural Information Processing Systems (NeurIPS), December 2020. (Acceptance rate 20%) | |
Learning sparse codes from compressed representations with biologically plausible local wiring constraints . In Neural Information Processing Systems (NeurIPS), December 2020. (Acceptance rate 20%) | |
Unbalanced Optimal Transport Regularization for Imaging Problems . IEEE Transactions on Computational Imaging, vol. 6, pp. 1219-1232, July 2020. | |
Efficient Tracking of Sparse Signals via an Earth Mover's Distance Dynamics Regularizer . IEEE Signal Processing Letters, vol. 27, pp. 1120-1124, June 2020. | |
An unbiased efficient sleep-wake detection algorithm for a population with sleep disorders: Change Point Decoder . Sleep, February 2020. | |
Active ordinal tuplewise querying for similarity learning . In AAAI Conference on Artificial Intelligence (AAAI), February 2020. \textbfSelected for oral presentation. (Acceptance rate 20%). | |
Representing Closed Transformation Paths in Encoded Network Latent Space . In AAAI Conference on Artificial Intelligence (AAAI), February 2020. \textbfSelected for spotlight presentation. (Acceptance rate 20%). | |
Sparse Bayesian Learning with Dynamic Filtering for Inference of Time-Varying Sparse Signals . IEEE Transactions on Signal Processing, 68(1), pp. 388–403, December 2019. | |
Hierarchical Optimal Transport for Multimodal Distribution Alignment . In Neural Information Processing Systems (NeurIPS), December 2019. (Acceptance rate 21%) | |
Sparse Coding Using the Locally Competitive Algorithm on the TrueNorth Neurosynaptic System . Frontiers in Neuroscience, vol. 13, pp. 754, July 2019. | |
Sub-second Dynamics of Theta-Gamma Coupling in Hippocampal CA1 . eLife, vol. 8, pp. e44320, July 2019. | |
Active embedding search via noisy paired comparisons . In International Conference on Machine Learning (ICML), June 2019. (Acceptance rate 23%) | |
PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices . Journal of Neural Engineering, 16(4), pp. 046003, May 2019. | |
Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathway . In Conference on Cognitive Computational Neuroscience, September 2018. | |
Short-term Sequence Memory: Compressive effects of Recurrent Network Dynamics . In Conference on Cognitive Computational Neuroscience, September 2018. | |
Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG Measurements . IEEE Transactions on Biomedical Engineering, 65(6), pp. 1349–1358, June 2018. | |
Controlling high-complexity robotic swarms with low-complexity EEG brain-computer interfaces . In International BCI Meeting, May 2018. | |
Cell Membrane Tracking in Living Brain Tissue using Differential Interference Contrast Microscopy . IEEE Transactions on Image Processing, pp. 1847–1861, April 2018. | |
Stabilizing Embedology: Geometry-Preserving Delay-Coordinate Maps . Physical Review E, 97(2), pp. 022222, February 2018. | |
Design strategies for dynamic closed-loop optogenetic neurocontrol in vivo . Journal of Neural Engineering, 15(2), pp. 026011, January 2018. | |
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks . Journal of Machine Learning Research, 18(7), pp. 1-37, 2017. | |
Rank Learning by Ordinal Gerrymandering . In Proceedings of the IEEE International Conference On Machine Learning And Applications (ICMLA), December 2017. | |
Neuromorphic computation: Sparse codes from memristor grids . Nature Nanotechnology, 12(8), pp. 722–723, August 2017. | |
Efficient coding with biophysical constraints can explain properties of networks and neural responses In Computational and Systems Neuroscience (COSYNE) Workshop on New Methods for Understanding Neural Dynamics and Computation, February 2017. Invited talk. | |
Dynamic Filtering of Time-Varying Sparse Signals via L1 Minimization . IEEE Transactions on Signal Processing, 64(21), pp. 5644–5656, November 2016. | |
Moving toward in vivo closed-loop optogenetic control of neural activity In American Control Conference (ACC) Workshop on Modeling, Estimation and Control Across Scales in Neuroscience, July 2016. Invited talk. | |
Outcome measures based on classification performance fail to predict the intelligibility of binary-masked speech . Journal of the Acoustical Society of America, 139(6), pp. 3033–3036, June 2016. | |
Exploiting the low-dimensional structure of dynamical system attractors In Computational and Systems Neuroscience (COSYNE) Workshop on Dimensionality reduction for the analysis and interpretation of high-dimensional neural datasets, February 2016. Invited talk | |
Cochlear implant speech intelligibility outcomes with structured and unstructured binary mask errors . Journal of the Acoustical Society of America, 139(2), pp. 800–810, February 2016. | |
Electrical and optical activation of mesoscale neural circuits with implications for coding . Journal of Neuroscience, 35(47), pp. 15702–15715, November 2015. | |
Modeling Inhibitory Interneurons in Efficient Sensory Coding Models . PLoS Computational Biology, 11(7), pp. e1004353, July 2015. | |
Discrete and Continuous-time Soft-Thresholding with Dynamic Inputs . IEEE Transactions on Signal Processing, 63(12), pp. 3165–3176, June 2015. | |
Structure in time-frequency binary masking errors and its impact on speech intelligibility . Journal of the Acoustical Society of America, 137(4), pp. 2025–2035, April 2015. | |
The Restricted Isometry Property for Random Block Diagonal Matrices . Applied and Computational Harmonic Analysis, 38(1), pp. 1–31, January 2015. | |
Optimal Sparse Approximation With Integrate and Fire Neurons . International Journal of Neural Systems, 24(05), pp. 1440001, August 2014. | |
Correction to "Convergence and Rate Analysis of Neural Networks for Sparse Approximation" . IEEE Transactions on Neural Networks and Learning Systems, 25(8), pp. 1595–1596, August 2014. | |
Short Term Memory Capacity in Networks via the Restricted Isometry Property . Neural Computation, 26(6), pp. 1198–1235, June 2014. | |
Spectral Super-Resolution of Hyperspectral Imagery Using Re-Weighted L1 Spatial Filtering . IEEE Geoscience and Remote Sensing Letters, 11(3), pp. 602–606, March 2014. | |
On the move: Dynamical systems for modeling, measurement and inference in compressed sensing In Matheon Workshop on Compressed Sensing and its Applications, December 2013. Invited talk. | |
Configurable Hardware Integrate and Fire Neurons for Sparse Approximation . Neural Networks, vol. 45, pp. 134–143, September 2013. Special issue on Neuromorphic Engineering: from Neural Systems to Brain-Like Engineered Systems. | |
Convergence Speed of a Dynamical System for Sparse Recovery . IEEE Transactions on Signal Processing, 61(17), pp. 4259–4269, September 2013. | |
Stable Manifold Embeddings with Structured Random Matrices . IEEE Journal of Selected Topics in Signal Processing, 7(4), pp. 720–730, August 2013. Special issue on Differential Geometry in Signal Processing. | |
Visual nonclassical receptive field effects emerge from sparse coding in a dynamical system . PLoS Computational Biology, 9(8), pp. e1003191, August 2013. | |
Tracking time-varying sparse signals In Advanced Modem Technology Forum, Qualcomm Technologies, Inc., May 2013. Invited talk. | |
Evaluating the generalization of the Hearing Aid Speech Quality Index (HASQI) . IEEE Transactions on Audio, Speech and Language Processing, 21(2), pp. 407–415, February 2013. | |
A Common Network Architecture Efficiently Implements a Variety of Sparsity-based Inference Problems . Neural Computation, 24(12), pp. 3317–3339, December 2012. | |
Convergence and Rate Analysis of Neural Networks for Sparse Approximation . IEEE Transactions on Neural Networks and Learning Systems, 23(9), pp. 1377–1389, September 2012. | |
Low Power Sparse Approximation on Reconfigurable Analog Hardware . IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2(3), pp. 530–541, September 2012. Special issue on Circuits, Systems and Algorithms for Compressive Sensing. | |
Spectral Super-Resolution of Hyperspectral Images In SIAM Conference on Imaging Science, May 2012. Invited talk. | |
Recursive estimation of dynamic signals with sparsity models via re-weighted L1 minimization In Janelia Farm Conference on Machine Learning, Statistical Inference, and Neuroscience, May 2012. | |
Concentration of Measure for Block Diagonal Matrices with Applications to Compressive Signal Processing . IEEE Transactions on Signal Processing, 59(12), pp. 5859–5875, December 2011. | |
Stable Takens' Embeddings for Linear Dynamical Systems . IEEE Transactions on Signal Processing, 59(10), pp. 4781–4794, October 2011. | |
Learning Sparse Codes for Hyperspectral Imagery . IEEE Journal of Selected Topics in Signal Processing, 5(5), pp. 963–978, September 2011. | |
Sparse coding via thresholding and local competition in neural circuits . Neural Computation, 20(10), pp. 2526–2563, October 2008. \textbfSelected for Faculty of 1000 Biology (now H1 Connect). | |
Analog and Digital Sparse Approximation with Applications to Compressed Sensing In 2008 SIAM Conference on Imaging Science, July 2008. Invited talk. | |
Neural architectures for sparse approximation In Information Theory and Applications Workshop, January 2008. Invited talk. | |
Power Scheduling for Wireless Sensor and Actuator Networks . In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), pp. 470–478, April 2007. (Acceptance rate 22%) | |
All-optical nanoscale pH meter . Nano Letters, 6(8), pp. 1687–1692, August 2006. | |
Analyzing the robustness of redundant population codes in sensory and feature extraction systems . Neurocomputing, 69(10–12), pp. 1215–1218, June 2006. | |
Evaluating local contributions to global performance in wireless sensor and actuator networks . Lecture Notes in Computer Science, vol. 4026, pp. 1–16, June 2006. it Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS), San Francisco, CA, June 2006 | |
Examining methods for estimating mutual information in spiking neural systems . Neurocomputing, vol. 65–66C, pp. 429–434, June 2005. | |
Measuring information transfer in crayfish sustaining fiber spike generators . Biological Cybernetics, 90(2), pp. 89–97, February 2004. | |
Information processing during transient responses in the crayfish visual system . Neurocomputing, vol. 52–54, pp. 53–58, June 2003. |
Advancing the Mechanistic Understanding of Subcallosal Cingulate Deep Brain Stimulation Through Biophysical Modeling . May 2025. | |
Decoding depression recovery with deep brain stimulation using explainable AI . May 2025. Invited talk. | |
Advancing Cognitive Science with AI: Decoding depression recovery with AI . April 2025. Invited talk. | |
Biophysical modeling of subcallosal cingulate cortex to advance deep brain stimulation for treatment-resistant depression . March 2025. | |
Human Anterior Cingulate Dynamics During Effortful Walking . March 2025. | |
Circuit deficits in treatment resistant depression and repair with deep brain stimulation . November 2024. Invited talk. | |
Anterior cingulate dynamics during effortful walking in humans . October 2024. | |
Understanding Depression Recovery with Deep Brain Stimulation Using Explainable AI . September 2024. Invited talk. | |
Decomposed Linear Dynamical Systems (dLDS) for identifying the latent dynamics underlying high-dimensional time-series . July 2024. | |
Developing and Validating Marker of Treatment Response for Subcallosal Cingulate Deep Brain Stimulation . May 2024. Invited talk. | |
Decomposed dynamics: toward discovering latent brain factors underlying depression and recovery . January 2024. Invited talk. | |
A Novel Subcallosal Cingulate Biomarker of Deep Brain Stimulation Mediated Stable Depression Recovery . 93(9), pp. S271, 2023. Proceedings of Society of Biological Psychiatry Annual Meeting | |
Decomposed linear dynamical systems for C. elegans functional connectivity . November 2023. | |
Enhancing the Cleo experiment simulation testbed to support all-optical control, multi-channel optogenetics, and easier integration into data analysis pipelines . November 2023. | |
Validation of local field potential marker of subcallosal cingulate deep brain stimulation mediated depression recovery in an independent cohort . November 2023. | |
Longitudinal effects of subcallosal cingulate deep brain stimulation on the resting electroencephalogram in treatment-resistant depression . November 2023. | |
Characterizing the Stress-Reducing Effects of Non-Invasive Vagus Nerve Stimulation . October 2023. Special session on Enabling Closed-Loop Technologies for Mental Health: Biobehavioral Sensor Informatics and Just-in-Time Interventions | |
Decomposed linear dynamical systems for C. elegans functional connectivity . March 2023. | |
CLOCTools: A library of tools for closed-loop neuroscience . November 2022. | |
Bridging model and experiment with CLEOsim: a testbed for in-silico prototyping of complex neuroscience experiments . November 2022. | |
A novel subcallosal cingulate biomarker of deep brain stimulation mediated stable recovery . November 2022. | |
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics . November 2022. New Orleans, LA. | |
A novel subcallosal cingulate biomarker of deep brain stimulation mediated stable recovery . October 2022. | |
Exploration of acute effects of stimulation frequency on subcallosal cingulate dynamics in SCC DBS . October 2022. | |
Latent State-Space Modeling of Physiological Responses to Non-Invasive Vagus Nerve Stimulation and Traumatic Stress . October 2022. | |
CLOCTools: A library of tools for closed-loop neuroscience . October 2022. | |
Cleo: a simulation testbed for bridging model and experiment in mesoscale neuroscience . October 2022. | |
Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics . September 2022. Virtual meeting. | |
Latent State-Space Modeling of Physiological Responses to Non-Invasive Vagus Nerve Stimulation and Traumatic Stress . September 2022. | |
Informing clinical decisions in psychiatric neuromodulation with AI . August 2022. Invited talk. | |
Learning the Data Manifold for Reusable Augmentations . June 2022. | |
Electrophysiological Biomarkers to Optimize DBS for Depression V . June 2022. | |
Closed-Loop Computational Neuroscience for Causally Dissecting Circuits III . June 2022. | |
Oracle Guided Image Synthesis with Relative Queries . April 2022. | |
Local dynamics changes accompanying stable recovery in subcallosal cingulate deep brain stimulation for treatment-resistant depression . April 2022. | |
Closed-Loop Computational Neuroscience for Causally Dissecting Circuits II . June 2021. | |
Electrophysiological Biomarkers to Optimize DBS for Depression IV . June 2021. | |
Electrophysiological Biomarkers to Optimize DBS for Depression - supplement: Longitudinal study of the effects of subcallosal cingulate deep brain stimulation for treatment-resistant depression on the power spectrum of the resting electroencephalogram . June 2021. | |
State-space optimal feedback control of neural circuits . May 2021. | |
When are open- and closed-loop control necessary for causal inference in neural circuits? . October 2020. | |
Closed-Loop Computational Neuroscience for Causally Dissecting Circuits . June 2020. | |
Electrophysiological Biomarkers to Optimize DBS for Depression III . June 2020. | |
The PICASSO algorithm for Bayesian localization via paired comparisons in a union of subspaces model . May 2020. | |
Unsupervised learning of manifold models for coding physical transformations . March 2020. | |
A 17.8 MS/s Neural-Network Compressed Sensing Radar Processor in 16nm FinFET CMOS . March 2020. | |
A change point decoder for sleep/wake detection on memory constrained wearables . December 2019. | |
Parallel Unbalanced Optimal Transport Regularization for Imaging . December 2019. Selected for Spotlight presentation. | |
Hierarchical Optimal Transport for Multimodal Distribution Alignment . December 2019. | |
A General ADMM Framework for Optimal Transport Regularized Problems . December 2019. | |
Joint Estimation of Trajectory and Dynamics from Paired Comparisons . December 2019. | |
Dynamical System Implementations of Sparse Bayesian Learning . December 2019. | |
Electrophysiological features of subcallosal cingulate cortex in patients with treatment-resistant depression . October 2019. | |
Sub second dynamics of theta gamma coupling in hippocampal CA1 . October 2019. | |
Cluster-based Optimal Transport Alignment . July 2019. Selected for oral presentation. | |
Fast Numerical Methods for Convex Problems with Optimal Transport Regularization . July 2019. | |
Robust Incorporation of Signal Predictions into the Sparse Bayesian Learning Framework . July 2019. | |
Active embedding search via noisy paired comparisons . July 2019. | |
Natural Variation Transfer using Learned Manifold Operators . July 2019. | |
Electrophysiological Biomarkers to Optimize DBS for Depression III . June 2019. | |
Interactive Object Segmentation With Noisy Binary Inputs . November 2018. | |
Rigorous guarantees on sequence memory capacity in recurrent neural networks using randomized dimensionality reduction . October 2018. | |
Sparse Dynamic Filtering via Earth Mover’s Distance Regularization . April 2018. | |
State-aware control of neural activity: design & analysis . March 2018. | |
An Optimal Transport Tracking Regularizer . December 2017. | |
Earth-Mover's Distance as a Tracking Regularizer . December 2017. | |
Controlling high-complexity robotic swarms with low-complexity EEG brain-machine interfaces . November 2017. | |
Cell membrane tracking in live brain tissue with differential interference contrast (DIC) microscopy . November 2017. | |
The patcherBot: a Walk-away Automated Patch-clamp Electrophysiology System . November 2017. | |
Optimal E:I cell ratios in efficient coding models of V1 under volume constraints . November 2017. | |
Closed loop optogenetic control of thalamocortical activity . November 2017. | |
Fast ADMM Solver for Reweighted Total Variation Image Deconvolution and Inpainting . November 2017. | |
Dynamic Filtering with Earth Mover’s Distance Regularization . June 2017. | |
Compression of multiple input streams into recursive neural networks . June 2017. | |
Stabilizing Embedology: Geometry-Preserving Delay-Coordinate Maps . June 2017. Selected for oral presentation. | |
Active learning approaches for complex non-invasive brain-computer interfaces . June 2017. | |
Stabilizing Embedology: When Do Delay-Coordinate Maps Preserve Geometry? . May 2017. Invited | |
Closed-loop Optogenetic Control of Neural Circuits: Tracking dynamic trajectories of firing rate in vivo . April 2017. | |
Precision Cell Boundary Tracking on DIC Microscopy Video for Patch Clamping . March 2017. | |
Short-term Sequence Memory in Recurrent Networks . December 2016. | |
Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathway . December 2016. | |
Efficient Randomized Filtering for Dimensionality Reduction in Electrophysiology Data . December 2016. | |
Closed Loop Optogenetic Control of Neural Circuits in vivo: Developing design principles for controlling patterns of neural firing rate . November 2016. | |
Closed Loop Optogenetic Control of Neural Circuits in vivo: Developing Design Principles for Controlling Patterns of Neural Firing Rate . November 2016. | |
Cortical communication via randomized dimensionality reduction with local synaptic connections . February 2016. | |
Closed loop optogenetic control of neural circuits: Tracking dynamic trajectories of neural activity . February 2016. | |
Learning manifold transport operators of 3D transformations from 2D imagery . January 2016. | |
Closing the loop around firing rate: Following dynamic trajectories . October 2015. | |
Learning a Dynamics Dictionary for Time-Varying Sparse Signals . July 2015. | |
Restricting Vocabulary Size in Pediatric Augmentative and Alternative Communication . June 2015. | |
Convergence of Basis Pursuit De-noising with Dynamic Filtering . December 2014. | |
Can Random Linear Networks Store Multiple Long Input Streams? . December 2014. | |
A First Analysis of the Stability of Takens' Embedding . December 2014. | |
The role of sparsity in visual perception . November 2014. | |
The influence of structure in binary mask estimation error on speech intelligibility . August 2014. Selected for oral presentation. | |
Sparsity Based Spectral Super-Resolution and Applications to Ocean Water Color . July 2014. | |
Iterative Soft-Thresholding for Time-Varying Signal Recovery . May 2014. | |
Coding consequences of activity propagation from sensory and artificial stimulation of neural circuits . February 2014. | |
Modeling single-trial V1 population response to dynamic natural scenes . December 2013. | |
How can Efficient Neural Coding be Exploited for Neural Interfacing? October 2013. Invited talk. | |
Speech Understanding in Noise Provided by a Simulated Cochlear Implant Processor Based on Matching Pursuit . October 2013. | |
Convergence of a Neural Network for Sparse Approximation using the Nonsmooth Łojasiewicz Inequality . August 2013. | |
Using compressed sensing to study sequence memory capacity in networked systems . July 2013. | |
Stochastic Filtering via Reweighted-l1 . July 2013. | |
Speech separation using Matching Pursuit for time-frequency masking . July 2013. | |
A sparse coding model of V1 produces surround suppression effects in response to natural scene . July 2013. | |
Sparse coding model captures V1 population response statistics to natural movies . July 2013. | |
Compressed Sensing Radar Using Recurrent Neural Networks . June 2013. | |
Causal binary mask estimation for speech enhancement using sparsity constraints . June 2013. | |
Dynamic Filtering of Sparse Signals Using Reweighted L1 . May 2013. | |
A Novel Binary Mask Estimator Based on Sparse Approximation . May 2013. | |
Sparse coding model and population response statistics to natural movies in V1 . February 2013. | |
Compressive LADAR Detector Noise Performance . November 2012. | |
The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity . August 2012. | |
Compressive LADAR in Realistic Environments . August 2012. | |
Biologically realistic excitatory and inhibitory cell properties emerge from a sparse coding network . July 2012. | |
The Restricted Isometry Property for Block Diagonal Matrices . June 2012. | |
The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity . June 2012. | |
Short-Term Memory Capacity in Recurrent Networks via Compressed Sensing . May 2012. | |
Biophysically accurate non-classical and inhibitory interneuron properties in a sparse coding network . May 2012. | |
Biophysically accurate inhibitory interneuron properties in a sparse coding network . February 2012. | |
Short-Term Memory Capacity in Recurrent Networks via Compressed Sensing . February 2012. | |
A Scalable Implementation of Sparse Approximation on a Field Programmable Analog Array . November 2011. | |
Robustness of the Hearing Aid Speech Quality Index (HASQI) . October 2011. | |
Computational auditory models validate the intelligibility benefits of "efficient filters" . August 2011. | |
Stable Embeddings of Time Series Data . July 2011. | |
Concentration Inequalities and Isometry Properties for Compressive Block Diagonal Matrices . July 2011. | |
Learning sparse codes for hyperspectral images . July 2011. | |
Convergence and Rate Analysis of Neural Networks for Sparse Approximation . July 2011. | |
A compressive sensing LIDAR architecture . July 2011. | |
Recent evidence of sparse coding in neural systems . June 2011. | |
Concentration Inequalities and Isometry Properties for Compressive Block Diagonal Matrices . June 2011. | |
A Hierarchical Re-weighted-l1 Approach for Dynamic Sparse Signal Estimation . June 2011. | |
Stable Embeddings of Time Series Data . June 2011. | |
Compressive LIDAR Conceptual Model and Simulation Results . May 2011. | |
Estimation and Dynamic Updating of Time-Varying Signals With Sparse Variations . May 2011. | |
Stable Manifold Embeddings with Operators Satisfying the Restricted Isometry Property . March 2011. | |
The Restricted Isometry Property for Block Diagonal Matrices . March 2011. | |
Sparsity Penalties in Dynamical System Estimation . March 2011. | |
Sparse approximation on a network of locally competitive integrate and fire neurons . February 2011. | |
Population characteristics and interpretations of nCRF effects emerging from sparse coding . February 2011. | |
Global Convergence of the Locally Competitive Algorithm . January 2011. | |
Causal sparse decomposition of audio signals . January 2011. | |
Stable Takens' Embedding for Linear Dynamical Systems . December 2010. Invited paper for session on \emphExploiting Sparsity and Compressive Sensing in System Identification. | |
Analog Sparse Approximation for Compressed Sensing Recovery . November 2010. | |
Sparse Coding for Spectral Signatures in Hyperspectral Images . November 2010. | |
Compressed Sensing Design of LIDAR Sensors November 2010. Invited talk. | |
Predicting speech quality using a computational auditory model . August 2010. | |
Sparse coding models demonstrate some non-classical receptive field effects . July 2010. \textbfSelected for oral presentation. | |
Compressed Sensing Design of LIDAR Sensors June 2010. McLean, VA. | |
Network Models of Sparse Coding and Nonclassical Receptive Field Effects April 2010. New York, NY. | |
Concentration of Measure for Block Diagonal Measurement Matrices . March 2010. | |
Concentration of Measure for Block Diagonal Matrices With Repeated Blocks . March 2010. Invited paper | |
Exploring the statistical structure of large-scale neural recordings using a sparse coding model . February 2010. | |
Distributed processing in frames for sparse approximation . March 2008. Invited paper | |
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms . pp. 476–479, March 2008. | |
Locally competitive algorithms for sparse approximation . pp. 169–172, September 2007. | |
Modeling sensor networks with fusion frames . vol. 6701, pp. 67011M-1 – 67011M-11, August 2007. | |
Neurally plausible sparse coding via competitive algorithms . February 2007. | |
Information Theory and Neuroscience: A Tutorial . November 2006. | |
All-optical nanoscale pH meter: a plasmonic nanodevice with quantifiable output . October 2006. Invited paper | |
Sparse Coding via Thresholding and Local Competition . August 2006. | |
Information Theory and Neuroscience . July 2006. | |
Feature-based information processing with selective attention . May 2006. | |
Analysis of noise reduction in redundant expansions under distributed processing requirements . pp. 185–188, March 2005. | |
To cooperate or not to cooperate: Detection strategies in sensor networks . pp. 841–844, May 2004. | |
Matched filter performance for unequal target and background covariance matrices . pp. 109–117, April 2004. | |
A theoretical framework for electro-acoustic music . 1999. |
Information Theory and Systems Neuroscience . Chapter in Analysis of parallel spike trains (S. Grün, S. Rotter, eds.), Springer-Verlag, 2010. |
Using explainable AI to uncover neural dynamics, behavior changes and network microstructure underlying depression recovery with DBS . March 2024. Invited talk. | |
New data-driven electrophysiology outcome measures and insights into SCC DBS for depression DBS Think Tank IX, August 2021. Invited talk. | |
On the Relation between Block Diagonal Matrices and Compressive Toeplitz Matrices . Technical report, Georgia Institute of Technology, School of Electrical and Computer Engineering, October 2011. | |
Distributed redundant representations in man-made and biological sensing systems . Ph.D. thesis, Rice University, May 2007. | |
Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers . M.S. thesis, Rice University, May 2002. |