2008 |
22 | EE | Robert L. Ortman,
Christopher J. Rozell,
Don H. Johnson:
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms.
CISS 2008: 476-479 |
21 | EE | Christopher J. Rozell,
Don H. Johnson,
Richard G. Baraniuk,
Bruno A. Olshausen:
Sparse Coding via Thresholding and Local Competition in Neural Circuits.
Neural Computation 20(10): 2526-2563 (2008) |
2007 |
20 | EE | Michael A. Lexa,
Don H. Johnson:
Joint Optimization of Distributed Broadcast Quantization Systems for Classification.
DCC 2007: 363-374 |
19 | EE | Christopher J. Rozell,
Don H. Johnson,
Richard G. Baraniuk,
Bruno A. Olshausen:
Locally Competitive Algorithms for Sparse Approximation.
ICIP (4) 2007: 169-172 |
18 | EE | Christopher J. Rozell,
Don H. Johnson:
Power scheduling for wireless sensor and actuator networks.
IPSN 2007: 470-478 |
17 | EE | Sinan Sinanovic,
Don H. Johnson:
Toward a theory of information processing.
Signal Processing 87(6): 1326-1344 (2007) |
2006 |
16 | EE | Christopher J. Rozell,
Don H. Johnson:
Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks.
DCOSS 2006: 1-16 |
15 | EE | Christopher J. Rozell,
Don H. Johnson:
Analyzing the robustness of redundant population codes in sensory and feature extraction systems.
Neurocomputing 69(10-12): 1215-1218 (2006) |
14 | EE | Don H. Johnson:
Signal-to-noise ratio.
Scholarpedia 1(12): 2088 (2006) |
2005 |
13 | EE | Christopher J. Rozell,
Don H. Johnson:
Examining methods for estimating mutual information in spiking neural systems.
Neurocomputing 65-66: 429-434 (2005) |
2004 |
12 | EE | Christopher J. Rozell,
Don H. Johnson,
Raymon M. Glantz:
Measuring information transfer in the spike generator of crayfish sustaining fibers.
Biological Cybernetics 90(2): 89-97 (2004) |
11 | EE | Don H. Johnson:
Neural Population Structures and Consequences for Neural Coding.
Journal of Computational Neuroscience 16(1): 69-80 (2004) |
10 | EE | Don H. Johnson,
Will Ray:
Optimal Stimulus Coding by Neural Populations Using Rate Codes.
Journal of Computational Neuroscience 16(2): 129-138 (2004) |
9 | EE | Don H. Johnson,
Raymon M. Glantz:
When does interval coding occur?
Neurocomputing 58-60: 13-18 (2004) |
2003 |
8 | EE | Clyde S. Miller,
Don H. Johnson,
John P. Schroeter,
Lay L. Myint,
Raymon M. Glantz:
Visual Responses of Crayfish Ocular Motoneurons: An Information Theoretical Analysis.
Journal of Computational Neuroscience 15(2): 247-269 (2003) |
7 | EE | Christopher J. Rozell,
Don H. Johnson,
Raymon M. Glantz:
Information processing during transient responses in the crayfish visual system.
Neurocomputing 52-54: 53-58 (2003) |
2002 |
6 | | Clyde S. Miller,
Don H. Johnson,
John P. Schroeter,
Lay L. Myint,
Raymon M. Glantz:
Visual Signals in an Optomotor Reflex: Systems and Information Theoretic Analysis.
Journal of Computational Neuroscience 13(1): 5-21 (2002) |
2001 |
5 | | Don H. Johnson,
Charlotte M. Gruner,
Keith A. Baggerly,
Chandran Seshagiri:
Information-Theoretic Analysis of Neural Coding.
Journal of Computational Neuroscience 10(1): 47-69 (2001) |
4 | EE | Charlotte M. Gruner,
Don H. Johnson:
Comparison of optimal and suboptimal spike sorting algorithms to theoretical limits.
Neurocomputing 38-40: 1663-1669 (2001) |
2000 |
3 | EE | Don H. Johnson,
Charlotte M. Gruner,
Raymon M. Glantz:
Quantifying information transfer in spike generation.
Neurocomputing 32-33: 1047-1054 (2000) |
1999 |
2 | EE | Charlotte M. Gruner,
Don H. Johnson:
Correlation and neural information coding fidelity and efficiency.
Neurocomputing 26-27: 163-168 (1999) |
1994 |
1 | | Lawrence A. Ciscon,
James D. Wise,
Don H. Johnson:
An Operator Interface for Teleprogramming Employing Synthetic Fixtures.
Presence 3(4): 321-340 (1994) |