scholarly journals Peripheral neural coding strategies for spectral analysis and sound source location in the nonteleost bony fish, Acipenser fulvescens.

2009 ◽  
Vol 125 (4) ◽  
pp. 2506-2506
Author(s):  
Michaela Meyer ◽  
Arthur N. Popper ◽  
Richard R. Fay
Keyword(s):  
Spectral Analysis ◽  
Sound Source ◽  
Neural Coding ◽  
Source Location ◽  
Bony Fish ◽  
Acipenser Fulvescens ◽  
Coding Strategies

scholarly journals Coding of sound direction in the auditory periphery of the lake sturgeon, Acipenser fulvescens

2012 ◽  
Vol 107 (2) ◽  
pp. 658-665 ◽  
Author(s):  
Michaela Meyer ◽  
Arthur N. Popper ◽  
Richard R. Fay
Keyword(s):  
Sound Source ◽  
Neural Coding ◽  
Vertical Plane ◽  
Lake Sturgeon ◽  
Acipenser Fulvescens ◽  
Limited Information ◽  
Behavioral Strategies ◽  
Vertebrate Lineage ◽  
Sound Direction ◽  
Wide Range

The lake sturgeon, Acipenser fulvescens, belongs to one of the few extant nonteleost ray-finned fishes and diverged from the main vertebrate lineage about 250 million years ago. The aim of this study was to use this species to explore the peripheral neural coding strategies for sound direction and compare these results to modern bony fishes (teleosts). Extracellular recordings were made from afferent neurons innervating the saccule and lagena of the inner ear while the fish was stimulated using a shaker system. Afferents were highly directional and strongly phase locked to the stimulus. Directional response profiles resembled cosine functions, and directional preferences occurred at a wide range of stimulus intensities (spanning at least 60 dB re 1 nm displacement). Seventy-six percent of afferents were directionally selective for stimuli in the vertical plane near 90° (up down) and did not respond to horizontal stimulation. Sixty-two percent of afferents responsive to horizontal stimulation had their best axis in azimuths near 0° (front back). These findings suggest that in the lake sturgeon, in contrast to teleosts, the saccule and lagena may convey more limited information about the direction of a sound source, raising the possibility that this species uses a different mechanism for localizing sound. For azimuth, a mechanism could involve the utricle or perhaps the computation of arrival time differences. For elevation, behavioral strategies such as directing the head to maximize input to the area of best sensitivity may be used. Alternatively, the lake sturgeon may have a more limited ability for sound source localization compared with teleosts.

Sound source location by difference of phase, on a hydrophone array with small dimensions

2001 ◽  
Vol 109 (1) ◽  
pp. 430-433 ◽  
Author(s):  
Karsten Brensing ◽  
Katrin Linke ◽  
Dietmar Todt
Keyword(s):  
Sound Source ◽  
Source Location ◽  
Hydrophone Array

Cortical Representation of Auditory Space: Information-Bearing Features of Spike Patterns

2002 ◽  
Vol 87 (4) ◽  
pp. 1749-1762 ◽  
Author(s):  
Shigeto Furukawa ◽  
John C. Middlebrooks
Keyword(s):  
Sound Source ◽  
Neuronal Response ◽  
Source Location ◽  
Spike Timing ◽  
Spike Count ◽  
Cortical Representation ◽  
Auditory Space ◽  
Transmitted Information ◽  
Related Information ◽  
Spike Patterns

Previous studies have demonstrated that the spike patterns of cortical neurons vary systematically as a function of sound-source location such that the response of a single neuron can signal the location of a sound source throughout 360° of azimuth. The present study examined specific features of spike patterns that might transmit information related to sound-source location. Analysis was based on responses of well-isolated single units recorded from cortical area A2 in α-chloralose-anesthetized cats. Stimuli were 80-ms noise bursts presented from loudspeakers in the horizontal plane; source azimuths ranged through 360° in 20° steps. Spike patterns were averaged across samples of eight trials. A competitive artificial neural network (ANN) identified sound-source locations by recognizing spike patterns; the ANN was trained using the learning vector quantization learning rule. The information about stimulus location that was transmitted by spike patterns was computed from joint stimulus-response probability matrices. Spike patterns were manipulated in various ways to isolate particular features. Full-spike patterns, which contained all spike-count information and spike timing with 100-μs precision, transmitted the most stimulus-related information. Transmitted information was sensitive to disruption of spike timing on a scale of more than ∼4 ms and was reduced by an average of ∼35% when spike-timing information was obliterated entirely. In a condition in which all but the first spike in each pattern were eliminated, transmitted information decreased by an average of only ∼11%. In many cases, that condition showed essentially no loss of transmitted information. Three unidimensional features were extracted from spike patterns. Of those features, spike latency transmitted ∼60% more information than that transmitted either by spike count or by a measure of latency dispersion. Information transmission by spike patterns recorded on single trials was substantially reduced compared with the information transmitted by averages of eight trials. In a comparison of averaged and nonaveraged responses, however, the information transmitted by latencies was reduced by only ∼29%, whereas information transmitted by spike counts was reduced by 79%. Spike counts clearly are sensitive to sound-source location and could transmit information about sound-source locations. Nevertheless, the present results demonstrate that the timing of the first poststimulus spike carries a substantial amount, probably the majority, of the location-related information present in spike patterns. The results indicate that any complete model of the cortical representation of auditory space must incorporate the temporal characteristics of neuronal response patterns.

scholarly journals Neural coding strategies and mechanisms of competition

2004 ◽  
Vol 5 (2) ◽  
pp. 93-117 ◽  
Author(s):  
M.W. Spratling ◽  
M.H. Johnson
Keyword(s):  
Neural Coding ◽  
Coding Strategies

Local versus distributed: A poor taxonomy of neural coding strategies

2004 ◽  
Vol 27 (5) ◽  
pp. 700-702
Author(s):  
Michael W. Spratling
Keyword(s):  
Neural Coding ◽  
Neural Representation ◽  
Target Article ◽  
Coding Strategies

Page is to be congratulated for challenging some misconceptions about neural representation. However, his target article, and the commentaries to it, highlight that the terms “local” and “distributed” are open to misinterpretation. These terms provide a poor description of neural coding strategies and a better taxonomy might resolve some of the issues.

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