Results 251 to 260 of about 483,558 (265)

Optimization principles for the neural code

Network: Computation in Neural Systems, 1996
Recent experiments show that the neural codes at work in a wide range of creatures share some common features. At first sight, these observations seem unrelated. However, we show that these features arise naturally in a linear filtered threshold crossing model when we set the threshold to maximize the transmitted information.
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Gustatory neural coding in the pons

Brain Research, 1976
Third-order neurons from the pontine taste area (PTA) were analyzed in accordance with the across-fiber pattern theory of gustatory neural coding. Single neuron responses, evoked by chemical stimulation of the tongue, were recorded from the PTA of acute Nembutalized rats.
R S, Perrotto, T R, Scott
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Degenerate coding in neural systems

Journal of Comparative Physiology A, 2005
When the dimensionality of a neural circuit is substantially larger than the dimensionality of the variable it encodes, many different degenerate network states can produce the same output. In this review I will discuss three different neural systems that are linked by this theme. The pyloric network of the lobster, the song control system of the zebra
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Seeking the Neural Code

Scientific American, 2006
Miguel A L, Nicolelis, Sidarta, Ribeiro
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Temporal Coding of Neural Stimuli

2019
Contemporary artificial neural networks use various metrics to code input data and usually do not use temporal coding, unlike biological neural systems. Real neural systems operate in time and use the time to code external stimuli of various kinds to produce a uniform internal data representation that can be used for further neural computations.
Adrian Horzyk, Krzysztof Goldon, Janusz A. Starzyk   +2 more
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Neural Coding of Dynamic Stimuli

2001
An estimation-theoretical approach is used to characterize the accuracy by which a pair of neurons encodes a time-varying stimulus. Whether high firing rates yield a representational advantage depends on the type of noise involved in spike generation: High rates are favorable for Poissonian noise, but fail to yield improvements in the case of ...
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The neural code

2023
Rami Alzahrani, Alice C Parker
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Neural Coding

2020
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Neural Coding

2015
Peiji Liang, Si Wu, Fanji Gu
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Neural Code

2008
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