Journal Articles | Conference Papers and Abstracts | Book Chapters | Other Publications

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. | |

Matched Filtering for Heart Rate Estimation on Compressive Sensing ECG Measurements . IEEE Transactions on Biomedical Engineering, 2018. In press. | |

Neuromorphic computation: Sparse codes from memristor grids . Nature Nanotechnology, 12(8), pp. 722–723, August 2017. | |

Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks . Journal of Machine Learning Research, 18(7), pp. 1-37, 2017. | |

Dynamic Filtering of Time-Varying Sparse Signals via L1 Minimization . IEEE Transactions on Signal Processing, 64(21), pp. 5644–5656, November 2016. | |

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. | |

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. | |

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. | |

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. | |

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. | |

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. | |

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. | |

All-optical nanoscale pH meter . Nano Letters, 6(8), pp. 1687–1692, August 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 | |

Analyzing the robustness of redundant population codes in sensory and feature extraction systems . Neurocomputing, 69(10–12), pp. 1215–1218, 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. |

Interactive Object Segmentation With Noisy Binary Inputs . In Proceedings of the International Conference on Image Processing (ICIP), October 2018. Submitted. | |

Controlling high-complexity robotic swarms with low-complexity EEG brain-computer interfaces . In International BCI Meeting, May 2018. | |

Sparse Dynamic Filtering via Earth Moverâ€™s Distance Regularization . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2018. | |

State-aware control of neural activity: design & analysis . In Computational and Systems Neuroscience (COSYNE) Meeting, March 2018. | |

Rank Learning by Ordinal Gerrymandering . In Proceedings of the IEEE International Conference On Machine Learning And Applications (ICMLA), December 2017. | |

Earth-Mover's Distance as a Tracking Regularizer . In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), December 2017. | |

An Optimal Transport Tracking Regularizer . In Neural Information Processing Systems (NIPS) Workshop, Optimal Transport and Machine Learning, December 2017. | |

Optimal E:I cell ratios in efficient coding models of V1 under volume constraints . In Society for Neuroscience Annual Meeting, November 2017. | |

Controlling high-complexity robotic swarms with low-complexity EEG brain-machine interfaces . In Society for Neuroscience Annual Meeting, November 2017. | |

Cell membrane tracking in live brain tissue with differential interference contrast (DIC) microscopy . In Society for Neuroscience Annual Meeting, November 2017. | |

The patcherBot: a Walk-away Automated Patch-clamp Electrophysiology System . In Society for Neuroscience Annual Meeting, November 2017. | |

Fast ADMM Solver for Reweighted Total Variation Image Deconvolution and Inpainting . In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), November 2017. | |

Closed loop optogenetic control of thalamocortical activity . In Society for Neuroscience Annual Meeting, November 2017. | |

Active learning approaches for complex non-invasive brain-computer interfaces . In Pulsar Workshop, June 2017. | |

Dynamic Filtering with Earth Moverâ€™s Distance Regularization . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, June 2017. | |

Stabilizing Embedology: Geometry-Preserving Delay-Coordinate Maps . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, June 2017. Selected for oral presentation. | |

Compression of multiple input streams into recursive neural networks . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, June 2017. | |

Stabilizing Embedology: When Do Delay-Coordinate Maps Preserve Geometry? . In SIAM Conference on Applications of Dynamical Systems (DS17), May 2017. Invited | |

Closed-loop Optogenetic Control of Neural Circuits: Tracking dynamic trajectories of firing rate in vivo . In Minnesota Neuromodulation Symposium, April 2017. | |

Precision Cell Boundary Tracking on DIC Microscopy Video for Patch Clamping . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. | |

Efficient Randomized Filtering for Dimensionality Reduction in Electrophysiology Data . In Neural Information Processing Systems (NIPS) Workshop, Brains and Bits: Neuroscience Meets Machine Learning, December 2016. | |

Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathway . In Neural Information Processing Systems (NIPS) Workshop, Brains and Bits: Neuroscience Meets Machine Learning, December 2016. | |

Short-term Sequence Memory in Recurrent Networks . In Neural Information Processing Systems (NIPS) Workshop, Brains and Bits: Neuroscience Meets Machine Learning, December 2016. | |

Closed Loop Optogenetic Control of Neural Circuits in vivo: Developing Design Principles for Controlling Patterns of Neural Firing Rate . In Southeastern Medical Scientist Symposium (SEMSS), November 2016. | |

Closed Loop Optogenetic Control of Neural Circuits in vivo: Developing design principles for controlling patterns of neural firing rate . In Society for Neuroscience Annual Meeting, November 2016. | |

Cortical communication via randomized dimensionality reduction with local synaptic connections . In Computational and Systems Neuroscience (COSYNE) Meeting, February 2016. | |

Closed loop optogenetic control of neural circuits: Tracking dynamic trajectories of neural activity . In Computational and Systems Neuroscience (COSYNE) Meeting, February 2016. | |

Learning manifold transport operators of 3D transformations from 2D imagery . In Annual Interdisciplinary Conference, January 2016. | |

Closing the loop around firing rate: Following dynamic trajectories . In Society for Neuroscience Annual Meeting, October 2015. | |

Learning a Dynamics Dictionary for Time-Varying Sparse Signals . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, July 2015. | |

Restricting Vocabulary Size in Pediatric Augmentative and Alternative Communication . In Rehabilitation Engineering and Assistive Technology Society of North America (RENSA) annual conference, June 2015. | |

Can Random Linear Networks Store Multiple Long Input Streams? . In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP) symposium on Information Processing for Big Data, December 2014. | |

A First Analysis of the Stability of Takens' Embedding . In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP) symposium on Information Processing for Big Data, December 2014. | |

Convergence of Basis Pursuit De-noising with Dynamic Filtering . In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP) symposium on Information Processing for Big Data, December 2014. | |

The role of sparsity in visual perception . In Proceedings of the Annual International Conference on Biologically Inspired Cognitive Architectures (BICA), November 2014. | |

The influence of structure in binary mask estimation error on speech intelligibility . In International Hearing Aid Research Conference (IHCON), August 2014. Selected for oral presentation. | |

Sparsity Based Spectral Super-Resolution and Applications to Ocean Water Color . In Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), July 2014. | |

Iterative Soft-Thresholding for Time-Varying Signal Recovery . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014. | |

Coding consequences of activity propagation from sensory and artificial stimulation of neural circuits . In Computational and Systems Neuroscience (COSYNE) Meeting, February 2014. | |

Modeling single-trial V1 population response to dynamic natural scenes . In NIPS workshop: High-Dimensional Statistical Inference in the Brain, December 2013. | |

Speech Understanding in Noise Provided by a Simulated Cochlear Implant Processor Based on Matching Pursuit . In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2013. | |

Convergence of a Neural Network for Sparse Approximation using the Nonsmooth Łojasiewicz Inequality . In Proceedings of the International Joint Conference on Neural Networks, August 2013. | |

Using compressed sensing to study sequence memory capacity in networked systems . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, July 2013. | |

Stochastic Filtering via Reweighted-l1 . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, July 2013. | |

Speech separation using Matching Pursuit for time-frequency masking . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, July 2013. | |

Sparse coding model captures V1 population response statistics to natural movies . In Computational Neuroscience Meeting (CNS), July 2013. | |

A sparse coding model of V1 produces surround suppression effects in response to natural scene . In Computational Neuroscience Meeting (CNS), July 2013. | |

Compressed Sensing Radar Using Recurrent Neural Networks . In SONDRA Workshop, June 2013. | |

Causal binary mask estimation for speech enhancement using sparsity constraints . In Proceedings of the International Congress on Acoustics (ICA), June 2013. | |

Dynamic Filtering of Sparse Signals Using Reweighted L1 . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013. | |

A Novel Binary Mask Estimator Based on Sparse Approximation . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013. | |

Sparse coding model and population response statistics to natural movies in V1 . In Computational and Systems Neuroscience (Cosyne) Meeting, February 2013. | |

Compressive LADAR Detector Noise Performance . In Asilomar Conference on Signals, Systems and Computers, November 2012. | |

Compressive LADAR in Realistic Environments . In IEEE Statistical Signal Processing Workshop, August 2012. | |

The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity . In IEEE Statistical Signal Processing Workshop, August 2012. | |

Biologically realistic excitatory and inhibitory cell properties emerge from a sparse coding network . In Computational Neuroscience Meeting (CNS), July 2012. | |

Short Term Memory in Neural Networks via the Restricted Isometry Property . In Computational Neuroscience Meeting Workshop on Methods of Information Theory in Computational Neuroscience, July 2012. Invited talk. | |

The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity . In Challenges in Geometry, Analysis and Computation: High Dimensional Synthesis, June 2012. | |

The Restricted Isometry Property for Block Diagonal Matrices . In Challenges in Geometry, Analysis and Computation: High Dimensional Synthesis, June 2012. | |

Biophysically accurate non-classical and inhibitory interneuron properties in a sparse coding network . In Janelia Farm Conference on Machine Learning, Statistical Inference, and Neuroscience, May 2012. | |

Short-Term Memory Capacity in Recurrent Networks via Compressed Sensing . In Janelia Farm Conference on Machine Learning, Statistical Inference, and Neuroscience, May 2012. | |

Biophysically accurate inhibitory interneuron properties in a sparse coding network . In Computational and Systems Neuroscience (Cosyne) Meeting, February 2012. | |

Short-Term Memory Capacity in Recurrent Networks via Compressed Sensing . In Computational and Systems Neuroscience (Cosyne) Meeting, February 2012. | |

A Scalable Implementation of Sparse Approximation on a Field Programmable Analog Array . In IEEE Biomedical Circuits and Systems Conference (BioCAS), November 2011. | |

Robustness of the Hearing Aid Speech Quality Index (HASQI) . In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2011. | |

Computational auditory models validate the intelligibility benefits of ``efficient filters'' . In International Symposium on Auditory and Audiological Research (ISAAR), August 2011. | |

A compressive sensing LIDAR architecture . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), July 2011. | |

Stable Embeddings of Time Series Data . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), July 2011. | |

Concentration Inequalities and Isometry Properties for Compressive Block Diagonal Matrices . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), July 2011. | |

Convergence and Rate Analysis of Neural Networks for Sparse Approximation . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), July 2011. | |

Learning sparse codes for hyperspectral images . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), July 2011. | |

Stable Embeddings of Time Series Data . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, June 2011. | |

A Hierarchical Re-weighted-l1 Approach for Dynamic Sparse Signal Estimation . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, June 2011. | |

Concentration Inequalities and Isometry Properties for Compressive Block Diagonal Matrices . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, June 2011. | |

Recent evidence of sparse coding in neural systems . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, June 2011. | |

Compressive LIDAR Conceptual Model and Simulation Results . In American Society for Photogrammetry & Remote Sensing (ASPRS) Annual Conference, May 2011. | |

Estimation and Dynamic Updating of Time-Varying Signals With Sparse Variations . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2011. | |

Sparsity Penalties in Dynamical System Estimation . In Proceedings of the Conference on Information Sciences and Systems (CISS), March 2011. | |

The Restricted Isometry Property for Block Diagonal Matrices . In Proceedings of the Conference on Information Sciences and Systems (CISS), March 2011. | |

Stable Manifold Embeddings with Operators Satisfying the Restricted Isometry Property . In Proceedings of the Conference on Information Sciences and Systems (CISS), March 2011. | |

Sparse approximation on a network of locally competitive integrate and fire neurons . In Computational and Systems Neuroscience (Cosyne) Meeting, February 2011. | |

Population characteristics and interpretations of nCRF effects emerging from sparse coding . In Computational and Systems Neuroscience (Cosyne) Meeting, February 2011. | |

Global Convergence of the Locally Competitive Algorithm . In Proceedings of the IEEE Digital Signal Processing (DSP) Workshop, January 2011. | |

Causal sparse decomposition of audio signals . In Proceedings of the IEEE Digital Signal Processing (DSP) Workshop, January 2011. | |

Stable Takens' Embedding for Linear Dynamical Systems . In Proceedings of the IEEE Conference on Decision and Control, December 2010. Invited paper for session on \emphExploiting Sparsity and Compressive Sensing in System Identification. | |

Sparse Coding for Spectral Signatures in Hyperspectral Images . In Proceedings of the Asilomar Conference on Signals, Systems, and Computers, November 2010. | |

Analog Sparse Approximation for Compressed Sensing Recovery . In Proceedings of the Asilomar Conference on Signals, Systems, and Computers, November 2010. | |

Predicting speech quality using a computational auditory model . In International Hearing Aid Research Conference (IHCON), August 2010. | |

Sparse coding models demonstrate some non-classical receptive field effects . In Computational Neuroscience Meeting (CNS), July 2010. Selected for oral presentation. | |

Concentration of Measure for Block Diagonal Matrices With Repeated Blocks . In Proceedings of the Conference on Information Sciences and Systems (CISS), March 2010. Invited paper | |

Concentration of Measure for Block Diagonal Measurement Matrices . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2010. | |

Exploring the statistical structure of large-scale neural recordings using a sparse coding model . In Computational and Systems Neuroscience (Cosyne) Meeting, February 2010. | |

Distributed processing in frames for sparse approximation . In Proceedings of the Conference on Information Sciences and Systems (CISS), March 2008. Invited paper | |

Reconstruction of compressively sensed images via neurally plausible local competitive algorithms . In Proceedings of the Conference on Information Sciences and Systems (CISS), pp. 476–479, March 2008. | |

Locally competitive algorithms for sparse approximation . In Proceedings of the International Conference on Image Processing (ICIP), pp. 169–172, September 2007. | |

Modeling sensor networks with fusion frames . In Proceedings of SPIE, Wavelets XII at SPIE Optics and Photonics, vol. 6701, pp. 67011M-1 – 67011M-11, August 2007. | |

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 of $38/170\approx 22\%$.) | |

Neurally plausible sparse coding via competitive algorithms . In Computational and Systems Neuroscience (Cosyne) Meeting, February 2007. | |

Information Theory and Neuroscience: A Tutorial . In Gulf Coast Consortium Conference on Theoretical & Computational Neuroscience, November 2006. | |

All-optical nanoscale pH meter: a plasmonic nanodevice with quantifiable output . In Proceedings of the Annual Meeting of the IEEE Lasers and Electro-Optics Society (IEEE LEOS), October 2006. Invited paper | |

Sparse Coding via Thresholding and Local Competition . In Gordon Research Conference on Sensory Coding and the Natural Environment, August 2006. | |

Information Theory and Neuroscience . In Computational Neuroscience Meeting Workshop on Methods of Information Theory in Computational Neuroscience, July 2006. | |

Feature-based information processing with selective attention . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2006. | |

Analysis of noise reduction in redundant expansions under distributed processing requirements . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 185–188, March 2005. | |

To cooperate or not to cooperate: Detection strategies in sensor networks . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 841–844, May 2004. | |

Matched filter performance for unequal target and background covariance matrices . In Proceedings of the SPIE Defense and Security Symposium: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, pp. 109–117, April 2004. | |

A theoretical framework for electro-acoustic music . In International Computer Music Conference (ICMC), 1999. |

Information Theory and Systems Neuroscience . Chapter in Analysis of parallel spike trains (S. Grün, S. Rotter, eds.), Springer-Verlag, 2010. |

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. |