Analysis of Encoding of Stimulus Separation in Ensembles of Muscle Afferents

In sensory physiology there have been two main theories relating to the processing of afferent information. These are the “labelled line” theory and the “ensemble coding” theory (cf. Ray & Doetsch, 1990a). The labelled line theory concentrates on the response properties of single receptors, while the ensemble coding theory places the emphasis on encoding in a neuronal population rather than by individual receptors or afferents (Erickson, 1968; Ray & Doetsch, 1990b).

[1]  S. W. Kuffler,et al.  Stretch receptor discharges during muscle contraction , 1951, The Journal of physiology.

[2]  H. Johansson Rubrospinal and rubrobulbospinal influences on dynamic and static γ-motoneurones , 1988, Behavioural Brain Research.

[3]  Bruce R. Kowalski,et al.  Chemometrics: Theory and Application , 1977 .

[4]  M. Bergenheim,et al.  A multichannel hook electrode for simultaneous recording of up to 12 nerve filaments , 1994, Journal of Neuroscience Methods.

[5]  B. Matthews Nerve endings in mammalian muscle , 1933, The Journal of physiology.

[6]  P. Rudomín,et al.  The influence of the gamma system on cross-correlated activity of Ia muscle spindles and its relation to information transmission , 1979, Neuroscience Letters.

[7]  H. Johansson,et al.  Fusimotor reflex profiles of individual triceps surae primary muscle spindle afferents assessed with multi-afferent recording technique. , 1991, Journal de physiologie.

[8]  R. Erickson,et al.  Stimulus coding in topographic and nontopographic afferent modalities: on the significance of the activity of individual sensory neurons. , 1968, Psychological review.

[9]  I. A. Boyd,et al.  Composition of peripheral nerves , 1968 .

[10]  S. Wold,et al.  SIMCA: A Method for Analyzing Chemical Data in Terms of Similarity and Analogy , 1977 .

[11]  Gernot S. Doetsch,et al.  Coding of stimulus location and intensity in populations of mechanosensitive nerve fibers of the raccoon: I. Single fiber response properties , 1990, Brain Research Bulletin.

[12]  S. Wold Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models , 1978 .