JN Fuel your research with LabChart
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


J Neurophysiol 75: 1345-1364, 1996;
0022-3077/96 $5.00
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Theunissen, F.
Right arrow Articles by Miller, J. P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Theunissen, F.
Right arrow Articles by Miller, J. P.

Journal of Neurophysiology, Vol 75, Issue 4 1345-1364, Copyright © 1996 by APS


ARTICLES

Information theoretic analysis of dynamical encoding by four identified primary sensory interneurons in the cricket cercal system

F. Theunissen, J. C. Roddey, S. Stufflebeam, H. Clague and J. P. Miller
Department of Molecular and Cell Biology, University of California, Berkeley 94720, USA.

1. The stimulus/response properties of four identified primary sensory interneurons in the cricket cercal sensory system were studied using electrophysiological techniques. These four cells are thought to represent a functionally discrete subunit of the cercal system: they are the only cells that encode information about stimulus direction to higher centers for low intensity stimuli. Previous studies characterized the quantity of information encoded by these cells about the direction of air currents in the horizontal plane. In the experiments reported here, we characterized the quantity and quality of information encoded in the cells' elicited responses about the dynamics of air current waveforms presented at their optimal stimulus directions. The total sample set included 22 cells. 2. This characterization was achieved by determining the cells' frequency sensitivities and encoding accuracy using the methods of stochastic systems analysis and information theory. The specific approach used for the analysis was the "stimulus reconstruction" technique in which a functional expansion was derived to transform the observed spike train responses into the optimal estimate (i.e., "reconstruction") of the actual stimulus. A novel derivation of the crucial equations is presented. The reverse approach is compared with the more traditional forward analysis, in which an expansion is derived that transforms the stimulus to a prediction of the spike train response. Important aspects of the application of these analytical approaches are considered. 3. All four interneurons were found to have identical frequency tuning, as assessed by the accuracy with which different frequency components of stimulus waveforms could be reconstructed with a linear expansion. The interneurons encoded significant information about stimulus frequencies between 5 and 80 Hz, which peak sensitivities at approximately 15 Hz. 4. All four interneurons were found to have identical stimulus/response latencies. The mean latency between a stimulus component and the corresponding elicited spike was 17 ms. All four interneurons also had identical integration times. The integration time, measured by the duration of stimulus, which could affect the probability of spiking, was approximately 50 ms. 5. The accuracy of the encoding can be expressed as a signal-to-noise ratio, where the noise is a scaled difference between the original signal and the best estimate of the signal. Peak signal-to-noise ratios of approximately 1 were obtained for the cells across all stimulus power levels, using only the linear expansion term. Analysis of the data indicated that the consideration of second-order nonlinear transformations of the stimulus would not have increased the calculated encoding accuracy. 6. The encoding accuracy also can be expressed in the information theoretic units of bits/second, which characterizes the information transmission rate of the cell. Bits/second values varied between 10 and 80 for the 22 different cells in our experimental set. The information rate values were highly correlated with the mean spike rates of the interneurons, but were not correlated with the stimulus power levels. However, normalizing the absolute information rates by the mean spike rate in each case yielded a measure of bits/spike that was remarkably invariant across all experiments. The measured bits/spike rate was approximately 1 for all experiments. This result is discussed in the context of recent theoretical studies on optimal encoding. 7. Although the dynamic sensitivities of the four interneurons were identical, their directional sensitivities are known to be orthogonal. Thus the cells are complementary to one another from a functional standpoint: whereas a particular cell will be insensitive to air currents from some directions, one or more of the other three cells will be sensitive to stimuli from those directions...


This article has been cited by other articles:


Home page
J. Exp. Biol.Home page
G. A. Jacobs, J. P. Miller, and Z. Aldworth
Computational mechanisms of mechanosensory processing in the cricket
J. Exp. Biol., June 1, 2008; 211(11): 1819 - 1828.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
H. Ogawa, G. I. Cummins, G. A. Jacobs, and K. Oka
Dendritic Design Implements Algorithm for Synaptic Extraction of Sensory Information
J. Neurosci., April 30, 2008; 28(18): 4592 - 4603.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
R. A. DiCaprio, C. P. Billimoria, and B. Ch. Ludwar
Information Rate and Spike-Timing Precision of Proprioceptive Afferents
J Neurophysiol, September 1, 2007; 98(3): 1706 - 1717.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
S. G. Sadeghi, M. J. Chacron, M. C. Taylor, and K. E. Cullen
Neural Variability, Detection Thresholds, and Information Transmission in the Vestibular System
J. Neurosci., January 24, 2007; 27(4): 771 - 781.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
K. Karmeier, J. H. van Hateren, R. Kern, and M. Egelhaaf
Encoding of Naturalistic Optic Flow by a Population of Blowfly Motion-Sensitive Neurons
J Neurophysiol, September 1, 2006; 96(3): 1602 - 1614.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
M. J. Chacron
Nonlinear Information Processing in a Model Sensory System
J Neurophysiol, May 1, 2006; 95(5): 2933 - 2946.
[Abstract] [Full Text] [PDF]


Home page
J. Exp. Biol.Home page
R. Kern, J. H. van Hateren, and M. Egelhaaf
Representation of behaviourally relevant information by blowfly motion-sensitive visual interneurons requires precise compensatory head movements
J. Exp. Biol., April 1, 2006; 209(7): 1251 - 1260.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
M. A. Freed
Quantal Encoding of Information in a Retinal Ganglion Cell
J Neurophysiol, August 1, 2005; 94(2): 1048 - 1056.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
G. Marsat and G. S. Pollack
Effect of the Temporal Pattern of Contralateral Inhibition on Sound Localization Cues
J. Neurosci., June 29, 2005; 25(26): 6137 - 6144.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
Z. N. Aldworth, J. P. Miller, T. Gedeon, G. I. Cummins, and A. G. Dimitrov
Dejittered Spike-Conditioned Stimulus Waveforms Yield Improved Estimates of Neuronal Feature Selectivity and Spike-Timing Precision of Sensory Interneurons
J. Neurosci., June 1, 2005; 25(22): 5323 - 5332.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
J. H. van Hateren, R. Kern, G. Schwerdtfeger, and M. Egelhaaf
Function and Coding in the Blowfly H1 Neuron during Naturalistic Optic Flow
J. Neurosci., April 27, 2005; 25(17): 4343 - 4352.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
G. Marsat and G. S. Pollack
Differential Temporal Coding of Rhythmically Diverse Acoustic Signals by a Single Interneuron
J Neurophysiol, August 1, 2004; 92(2): 939 - 948.
[Abstract] [Full Text] [PDF]


Home page
Neural Comput.Home page
M. J. Barber, J. W. Clark, and C. H. Anderson
Neural Representation of Probabilistic Information
Neural Comput., August 1, 2003; 15(8): 1843 - 1864.
[Abstract] [Full Text]


Home page
JGPHome page
M. Juusola and G. G. de Polavieja
The Rate of Information Transfer of Naturalistic Stimulation by Graded Potentials
J. Gen. Physiol., July 28, 2003; 122(2): 191 - 206.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
D. Aronov, D. S. Reich, F. Mechler, and J. D. Victor
Neural Coding of Spatial Phase in V1 of the Macaque Monkey
J Neurophysiol, June 1, 2003; 89(6): 3304 - 3327.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
J. H. van Hateren, L. Ruttiger, H. Sun, and B. B. Lee
Processing of Natural Temporal Stimuli by Macaque Retinal Ganglion Cells
J. Neurosci., November 15, 2002; 22(22): 9945 - 9960.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
R. Krahe, G. Kreiman, F. Gabbiani, C. Koch, and W. Metzner
Stimulus Encoding and Feature Extraction by Multiple Sensory Neurons
J. Neurosci., March 15, 2002; 22(6): 2374 - 2382.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
A. D. Protopapas and J. M. Bower
Spike Coding in Pyramidal Cells of the Piriform Cortex of Rat
J Neurophysiol, September 1, 2001; 86(3): 1504 - 1510.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
C. K. Machens, M. B. Stemmler, P. Prinz, R. Krahe, B. Ronacher, and A. V. M. Herz
Representation of Acoustic Communication Signals by Insect Auditory Receptor Neurons
J. Neurosci., May 1, 2001; 21(9): 3215 - 3227.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
R. F. Rogers, J. D. Runyan, A. G. Vaidyanathan, and J. S. Schwaber
Information Theoretic Analysis of Pulmonary Stretch Receptor Spike Trains
J Neurophysiol, January 1, 2001; 85(1): 448 - 461.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
G. A. Jacobs and F. E. Theunissen
Extraction of Sensory Parameters from a Neural Map by Primary Sensory Interneurons
J. Neurosci., April 15, 2000; 20(8): 2934 - 2943.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
S. Paydar, C. A. Doan, and G. A. Jacobs
Neural Mapping of Direction and Frequency in the Cricket Cercal Sensory System
J. Neurosci., March 1, 1999; 19(5): 1771 - 1781.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
J. E. Lewis and W. B. Kristan Jr.
Representation of Touch Location by a Population of Leech Sensory Neurons
J Neurophysiol, November 1, 1998; 80(5): 2584 - 2592.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
J. Haag and A. Borst
Active Membrane Properties and Signal Encoding in Graded Potential Neurons
J. Neurosci., October 1, 1998; 18(19): 7972 - 7986.
[Abstract] [Full Text] [PDF]


Home page
J. Neurosci.Home page
J. Haag and A. Borst
Encoding of Visual Motion Information and Reliability in Spiking and Graded Potential Neurons
J. Neurosci., June 15, 1997; 17(12): 4809 - 4819.
[Abstract] [Full Text] [PDF]


Home page
J. Neurophysiol.Home page
H. Clague, F. Theunissen, and J. P. Miller
Effects of Adaptation on Neural Coding by Primary Sensory Interneurons in the Cricket Cercal System
J Neurophysiol, January 1, 1997; 77(1): 207 - 220.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Visit Other APS Journals Online