SIPLab
Sensory Information Processing Lab

publications


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


Journal Articles

 Cell Membrane Tracking in Living Brain Tissue using Differential Interference Contrast Microscopy
, , and . Submitted.
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  Stabilizing Embedology: Geometry-Preserving Delay-Coordinate Maps
, , and . Submitted.
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  Neuromorphic computation: Sparse codes from memristor grids
and . Nature Nanotechnology, . Advance publication online. In press.
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  Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks
, and . Journal of Machine Learning Research, 18(7), pp. 1-37, .
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  Dynamic Filtering of Time-Varying Sparse Signals via L1 Minimization
, and . IEEE Transactions on Signal Processing, 64(21), pp. 5644–5656, .
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  Outcome measures based on classification performance fail to predict the intelligibility of binary-masked speech
, and . Journal of the Acoustical Society of America, 139(6), pp. 3033–3036, .
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  Cochlear implant speech intelligibility outcomes with structured and unstructured binary mask errors
, , and . Journal of the Acoustical Society of America, 139(2), pp. 800–810, .
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  Electrical and optical activation of mesoscale neural circuits with implications for coding
, , , and . Journal of Neuroscience, 35(47), pp. 15702–15715, .
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  Modeling Inhibitory Interneurons in Efficient Sensory Coding Models
and . PLoS Computational Biology, 11(7), pp. e1004353, .
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  Discrete and Continuous-time Soft-Thresholding with Dynamic Inputs
, and . IEEE Transactions on Signal Processing, 63(12), pp. 3165–3176, .
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  Structure in time-frequency binary masking errors and its impact on speech intelligibility
and . Journal of the Acoustical Society of America, 137(4), pp. 2025–2035, .
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  The Restricted Isometry Property for Random Block Diagonal Matrices
, , and . Applied and Computational Harmonic Analysis, 38(1), pp. 1–31, .
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 Correction to ``Convergence and Rate Analysis of Neural Networks for Sparse Approximation''
, and . IEEE Transactions on Neural Networks and Learning Systems, 25(8), pp. 1595–1596, .
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  Optimal Sparse Approximation With Integrate and Fire Neurons
, , and . International Journal of Neural Systems, 24(05), pp. 1440001, .
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  Short Term Memory Capacity in Networks via the Restricted Isometry Property
, and . Neural Computation, 26(6), pp. 1198–1235, .
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  Spectral Super-Resolution of Hyperspectral Imagery Using Re-Weighted L1 Spatial Filtering
and . IEEE Geoscience and Remote Sensing Letters, 11(3), pp. 602–606, .
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  Configurable Hardware Integrate and Fire Neurons for Sparse Approximation
, and . Neural Networks, vol. 45, pp. 134–143, . Special issue on Neuromorphic Engineering: from Neural Systems to Brain-Like Engineered Systems.
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  Convergence Speed of a Dynamical System for Sparse Recovery
, and . IEEE Transactions on Signal Processing, 61(17), pp. 4259–4269, .
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  Visual nonclassical receptive field effects emerge from sparse coding in a dynamical system
and . PLoS Computational Biology, 9(8), pp. e1003191, .
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  Stable Manifold Embeddings with Structured Random Matrices
, and . IEEE Journal of Selected Topics in Signal Processing, 7(4), pp. 720–730, . Special issue on Differential Geometry in Signal Processing.
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  Evaluating the generalization of the Hearing Aid Speech Quality Index (HASQI)
, and . IEEE Transactions on Audio, Speech and Language Processing, 21(2), pp. 407–415, .
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  A Common Network Architecture Efficiently Implements a Variety of Sparsity-based Inference Problems
, and . Neural Computation, 24(12), pp. 3317–3339, .
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  Convergence and Rate Analysis of Neural Networks for Sparse Approximation
, and . IEEE Transactions on Neural Networks and Learning Systems, 23(9), pp. 1377–1389, .
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  Low Power Sparse Approximation on Reconfigurable Analog Hardware
, , and . IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2(3), pp. 530–541, . Special issue on Circuits, Systems and Algorithms for Compressive Sensing.
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  Concentration of Measure for Block Diagonal Matrices with Applications to Compressive Signal Processing
, , and . IEEE Transactions on Signal Processing, 59(12), pp. 5859–5875, .
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  Stable Takens' Embeddings for Linear Dynamical Systems
and . IEEE Transactions on Signal Processing, 59(10), pp. 4781–4794, .
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  Learning Sparse Codes for Hyperspectral Imagery
, and . IEEE Journal of Selected Topics in Signal Processing, 5(5), pp. 963–978, .
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  Sparse coding via thresholding and local competition in neural circuits
, , and . Neural Computation, 20(10), pp. 2526–2563, .
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  All-optical nanoscale pH meter
, , , , , and . Nano Letters, 6(8), pp. 1687–1692, .
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  Evaluating local contributions to global performance in wireless sensor and actuator networks
and . Lecture Notes in Computer Science, vol. 4026, pp. 1–16, . it Proceedings of the International Conference on Distributed Computing in Sensor Systems (DCOSS), San Francisco, CA, June 2006
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  Analyzing the robustness of redundant population codes in sensory and feature extraction systems
and . Neurocomputing, 69(10–12), pp. 1215–1218, .
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  Examining methods for estimating mutual information in spiking neural systems
and . Neurocomputing, vol. 65–66C, pp. 429–434, .
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  Measuring information transfer in crayfish sustaining fiber spike generators
, and . Biological Cybernetics, 90(2), pp. 89–97, .
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  Information processing during transient responses in the crayfish visual system
, and . Neurocomputing, vol. 52–54, pp. 53–58, .
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Conference Papers and Abstracts

 Earth-Mover's Distance as a Tracking Regularizer
, , and . In IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), . Submitted.
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 Fast ADMM Solver for Reweighted Total Variation Image Deconvolution and Inpainting
and . In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP), . Submitted.
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 Active learning approaches for complex non-invasive brain-computer interfaces
. In Pulsar Workshop, .
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 Dynamic Filtering with Earth Mover’s Distance Regularization
, , and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 Stabilizing Embedology: Geometry-Preserving Delay-Coordinate Maps
, , and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, . Selected for oral presentation.
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 Compression of multiple input streams into recursive neural networks
, and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 Stabilizing Embedology: When Do Delay-Coordinate Maps Preserve Geometry?
, , and . In SIAM Conference on Applications of Dynamical Systems (DS17), . Invited
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 Closed-loop Optogenetic Control of Neural Circuits: Tracking dynamic trajectories of firing rate in vivo
, , , and . In Minnesota Neuromodulation Symposium, .
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 Precision Cell Boundary Tracking on DIC Microscopy Video for Patch Clamping
and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), .
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 Short-term Sequence Memory in Recurrent Networks
, , and . In Neural Information Processing Systems (NIPS) Workshop, Brains and Bits: Neuroscience Meets Machine Learning, .
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 Efficient Randomized Filtering for Dimensionality Reduction in Electrophysiology Data
, , and . In Neural Information Processing Systems (NIPS) Workshop, Brains and Bits: Neuroscience Meets Machine Learning, .
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 Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathway
and . In Neural Information Processing Systems (NIPS) Workshop, Brains and Bits: Neuroscience Meets Machine Learning, .
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 Closed Loop Optogenetic Control of Neural Circuits in vivo: Developing design principles for controlling patterns of neural firing rate
, , , , , and . In Society for Neuroscience Annual Meeting, .
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 Closed Loop Optogenetic Control of Neural Circuits in vivo: Developing Design Principles for Controlling Patterns of Neural Firing Rate
, , , , , and . In Southeastern Medical Scientist Symposium (SEMSS), .
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 Moving toward in vivo closed-loop optogenetic control of neural activity
, , , and . In American Control Conference (ACC) Workshop on Modeling, Estimation and Control Across Scales in Neuroscience, . Invited
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 Closed loop optogenetic control of neural circuits: Tracking dynamic trajectories of neural activity
, , , , , and . In Computational and Systems Neuroscience (COSYNE) Meeting, .
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 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, . Invited
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 Cortical communication via randomized dimensionality reduction with local synaptic connections
and . In Computational and Systems Neuroscience (COSYNE) Meeting, .
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 Learning manifold transport operators of 3D transformations from 2D imagery
and . In Annual Interdisciplinary Conference, .
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 Closing the loop around firing rate: Following dynamic trajectories
, , , and . In Society for Neuroscience Annual Meeting, .
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 Learning a Dynamics Dictionary for Time-Varying Sparse Signals
and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 Restricting Vocabulary Size in Pediatric Augmentative and Alternative Communication
, and . In Rehabilitation Engineering and Assistive Technology Society of North America (RENSA) annual conference, .
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 A First Analysis of the Stability of Takens' Embedding
, , and . In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP) symposium on Information Processing for Big Data, .
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 Can Random Linear Networks Store Multiple Long Input Streams?
, and . In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP) symposium on Information Processing for Big Data, .
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 Convergence of Basis Pursuit De-noising with Dynamic Filtering
and . In Proceedings of the IEEE Global Conference on Signal and Information Processing (GlobalSIP) symposium on Information Processing for Big Data, .
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 The role of sparsity in visual perception
, , , and . In Proceedings of the Annual International Conference on Biologically Inspired Cognitive Architectures (BICA), .
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 The influence of structure in binary mask estimation error on speech intelligibility
and . In International Hearing Aid Research Conference (IHCON), . Selected for oral presentation.
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 Sparsity Based Spectral Super-Resolution and Applications to Ocean Water Color
, and . In Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), .
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 Iterative Soft-Thresholding for Time-Varying Signal Recovery
, and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), .
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 Coding consequences of activity propagation from sensory and artificial stimulation of neural circuits
, and . In Computational and Systems Neuroscience (COSYNE) Meeting, .
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 Modeling single-trial V1 population response to dynamic natural scenes
and . In NIPS workshop: High-Dimensional Statistical Inference in the Brain, .
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 On the move: Dynamical systems for modeling, measurement and inference in compressed sensing
. In Matheon Workshop on Compressed Sensing and its Applications, . Invited talk.
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 Speech Understanding in Noise Provided by a Simulated Cochlear Implant Processor Based on Matching Pursuit
and . In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), .
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  Convergence of a Neural Network for Sparse Approximation using the Nonsmooth Łojasiewicz Inequality
, and . In Proceedings of the International Joint Conference on Neural Networks, .
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 Using compressed sensing to study sequence memory capacity in networked systems
, and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 A sparse coding model of V1 produces surround suppression effects in response to natural scene
, and . In Computational Neuroscience Meeting (CNS), .
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 Sparse coding model captures V1 population response statistics to natural movies
, , , , and . In Computational Neuroscience Meeting (CNS), .
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 Stochastic Filtering via Reweighted-l1
and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 Speech separation using Matching Pursuit for time-frequency masking
and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 Causal binary mask estimation for speech enhancement using sparsity constraints
, and . In Proceedings of the International Congress on Acoustics (ICA), .
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 Compressed Sensing Radar Using Recurrent Neural Networks
, and . In SONDRA Workshop, .
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 A Novel Binary Mask Estimator Based on Sparse Approximation
, and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), .
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 Tracking time-varying sparse signals
. In Advanced Modem Technology Forum, Qualcomm Technologies, Inc., .
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  Dynamic Filtering of Sparse Signals Using Reweighted L1
and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), .
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 Sparse coding model and population response statistics to natural movies in V1
, , , , and . In Computational and Systems Neuroscience (Cosyne) Meeting, .
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 Compressive LADAR Detector Noise Performance
, , and . In Asilomar Conference on Signals, Systems and Computers, .
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  The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity
, and . In IEEE Statistical Signal Processing Workshop, .
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 Compressive LADAR in Realistic Environments
, , and . In IEEE Statistical Signal Processing Workshop, .
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 Short Term Memory in Neural Networks via the Restricted Isometry Property
, and . In Computational Neuroscience Meeting Workshop on Methods of Information Theory in Computational Neuroscience, . Invited talk.
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 Biologically realistic excitatory and inhibitory cell properties emerge from a sparse coding network
and . In Computational Neuroscience Meeting (CNS), .
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 The Restricted Isometry Property for Block Diagonal Matrices
, , and . In Challenges in Geometry, Analysis and Computation: High Dimensional Synthesis, .
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 The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity
, and . In Challenges in Geometry, Analysis and Computation: High Dimensional Synthesis, .
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 Short-Term Memory Capacity in Recurrent Networks via Compressed Sensing
, and . In Janelia Farm Conference on Machine Learning, Statistical Inference, and Neuroscience, .
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 Biophysically accurate non-classical and inhibitory interneuron properties in a sparse coding network
and . In Janelia Farm Conference on Machine Learning, Statistical Inference, and Neuroscience, .
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 Spectral Super-Resolution of Hyperspectral Images
and . In SIAM Conference on Imaging Science, . Invited talk.
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 Recursive estimation of dynamic signals with sparsity models via re-weighted L1 minimization
and . In Janelia Farm Conference on Machine Learning, Statistical Inference, and Neuroscience, . Invited talk.
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 Short-Term Memory Capacity in Recurrent Networks via Compressed Sensing
, and . In Computational and Systems Neuroscience (Cosyne) Meeting, .
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 Biophysically accurate inhibitory interneuron properties in a sparse coding network
, and . In Computational and Systems Neuroscience (Cosyne) Meeting, .
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 A Scalable Implementation of Sparse Approximation on a Field Programmable Analog Array
, , and . In IEEE Biomedical Circuits and Systems Conference (BioCAS), .
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  Robustness of the Hearing Aid Speech Quality Index (HASQI)
, and . In IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), .
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 Computational auditory models validate the intelligibility benefits of ``efficient filters''
, and . In International Symposium on Auditory and Audiological Research (ISAAR), .
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 A compressive sensing LIDAR architecture
, , and . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), .
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 Concentration Inequalities and Isometry Properties for Compressive Block Diagonal Matrices
, , , and . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), .
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 Stable Embeddings of Time Series Data
and . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), .
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 Learning sparse codes for hyperspectral images
, and . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), .
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 Convergence and Rate Analysis of Neural Networks for Sparse Approximation
, and . In Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), .
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 Recent evidence of sparse coding in neural systems
and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 Concentration Inequalities and Isometry Properties for Compressive Block Diagonal Matrices
, , , and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 A Hierarchical Re-weighted-l1 Approach for Dynamic Sparse Signal Estimation
and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 Stable Embeddings of Time Series Data
and . In Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop, .
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 Compressive LIDAR Conceptual Model and Simulation Results
, , and . In American Society for Photogrammetry & Remote Sensing (ASPRS) Annual Conference, .
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  Estimation and Dynamic Updating of Time-Varying Signals With Sparse Variations
, , and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), .
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  Sparsity Penalties in Dynamical System Estimation
, , and . In Proceedings of the Conference on Information Sciences and Systems (CISS), .
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  The Restricted Isometry Property for Block Diagonal Matrices
, , and . In Proceedings of the Conference on Information Sciences and Systems (CISS), .
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  Stable Manifold Embeddings with Operators Satisfying the Restricted Isometry Property
, and . In Proceedings of the Conference on Information Sciences and Systems (CISS), .
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 Sparse approximation on a network of locally competitive integrate and fire neurons
, , and . In Computational and Systems Neuroscience (Cosyne) Meeting, .
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 Population characteristics and interpretations of nCRF effects emerging from sparse coding
and . In Computational and Systems Neuroscience (Cosyne) Meeting, .
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 Global Convergence of the Locally Competitive Algorithm
, and . In Proceedings of the IEEE Digital Signal Processing (DSP) Workshop, .
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 Causal sparse decomposition of audio signals
, and . In Proceedings of the IEEE Digital Signal Processing (DSP) Workshop, .
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 Stable Takens' Embedding for Linear Dynamical Systems
and . In Proceedings of the IEEE Conference on Decision and Control, . Invited paper for session on \emphExploiting Sparsity and Compressive Sensing in System Identification.
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 Analog Sparse Approximation for Compressed Sensing Recovery
and . In Proceedings of the Asilomar Conference on Signals, Systems, and Computers, .
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 Sparse Coding for Spectral Signatures in Hyperspectral Images
and . In Proceedings of the Asilomar Conference on Signals, Systems, and Computers, .
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 Predicting speech quality using a computational auditory model
, and . In International Hearing Aid Research Conference (IHCON), .
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 Sparse coding models demonstrate some non-classical receptive field effects
and . In Computational Neuroscience Meeting (CNS), . Selected for oral presentation.
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  Concentration of Measure for Block Diagonal Measurement Matrices
, , and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), .
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  Concentration of Measure for Block Diagonal Matrices With Repeated Blocks
, , and . In Proceedings of the Conference on Information Sciences and Systems (CISS), . Invited paper
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 Exploring the statistical structure of large-scale neural recordings using a sparse coding model
, , , , and . In Computational and Systems Neuroscience (Cosyne) Meeting, .
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 Analog and Digital Sparse Approximation with Applications to Compressed Sensing
. In 2008 SIAM Conference on Imaging Science, . Invited talk.
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 Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
, and . In Proceedings of the Conference on Information Sciences and Systems (CISS), pp. 476–479, .
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  Distributed processing in frames for sparse approximation
. In Proceedings of the Conference on Information Sciences and Systems (CISS), . Invited paper
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 Neural architectures for sparse approximation
, , and . In Information Theory and Applications Workshop, . Invited talk.
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 Locally competitive algorithms for sparse approximation
, , and . In Proceedings of the International Conference on Image Processing (ICIP), pp. 169–172, .
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  Modeling sensor networks with fusion frames
, , and . In Proceedings of SPIE, Wavelets XII at SPIE Optics and Photonics, vol. 6701, pp. 67011M-1 – 67011M-11, .
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  Power Scheduling for Wireless Sensor and Actuator Networks
and . In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), pp. 470–478, . (Acceptance rate of $38/170\approx 22\%$.)
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 Neurally plausible sparse coding via competitive algorithms
, , and . In Computational and Systems Neuroscience (Cosyne) Meeting, .
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 Information Theory and Neuroscience: A Tutorial
, and . In Gulf Coast Consortium Conference on Theoretical & Computational Neuroscience, . Invited talk.
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 All-optical nanoscale pH meter: a plasmonic nanodevice with quantifiable output
, , , , and . In Proceedings of the Annual Meeting of the IEEE Lasers and Electro-Optics Society (IEEE LEOS), . Invited paper
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 Sparse Coding via Thresholding and Local Competition
, , and . In Gordon Research Conference on Sensory Coding and the Natural Environment, .
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 Information Theory and Neuroscience
and . In Computational Neuroscience Meeting Workshop on Methods of Information Theory in Computational Neuroscience, . Invited talk.
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  Feature-based information processing with selective attention
, and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), .
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  Analysis of noise reduction in redundant expansions under distributed processing requirements
and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 185–188, .
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  To cooperate or not to cooperate: Detection strategies in sensor networks
, , and . In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 841–844, .
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 Matched filter performance for unequal target and background covariance matrices
and . In Proceedings of the SPIE Defense and Security Symposium: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, pp. 109–117, .
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  A theoretical framework for electro-acoustic music
, , , and . In International Computer Music Conference (ICMC), .
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Book Chapters

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

  On the Relation between Block Diagonal Matrices and Compressive Toeplitz Matrices
and . Technical report, Georgia Institute of Technology, School of Electrical and Computer Engineering, .
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  Distributed redundant representations in man-made and biological sensing systems
. Ph.D. thesis, Rice University, .
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  Analyzing dynamics and stimulus feature dependence in the information processing of crayfish sustaining fibers
. M.S. thesis, Rice University, .
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