Effect of correlated adjacent interspike interval sequences of the excitatory motor axon on the opening movement of the crayfish claw opener muscles

We examined how it affects the opening movement of the crayfish opener muscle whether successive interspike intervals of the excitatory motor axon are independent or not in the statistical sense. To execute this study, the excitatory motor axon was stimulated electrically with the three types of correlated adjacent interval sequences generated by digital-computer programs. The response of opening movement was subsequently analysed in relation to these statistical stimuli. The positive correlated interspike interval sequence (Type I) of stimulation prodeduced a larger movement amplitude than those of the other types (Type II; negative correlated sequence and Type III; independent sequence). The movement induced by Type II sequence fluctuated less about its moving average especially in a transient-state than those of the others. The differences of response fluctuations among the three types were evaluated for various mean values of the stimuli.

[1]  T Wakabayashi,et al.  Responses of crayfish muscle preparations to nerve stimulation with various patterns of impulse sequence. Effects of intermittent, intercalated and adaptational types of impulse sequence. , 1977, The Tohoku journal of experimental medicine.

[2]  V. Mountcastle,et al.  NEURAL ACTIVITY IN MECHANORECEPTIVE CUTANEOUS AFFERENTS: STIMULUS-RESPONSE RELATIONS, WEBER FUNCTIONS, AND INFORMATION TRANSMISSION. , 1965, Journal of neurophysiology.

[3]  R. W. Rodieck.  Maintained activity of cat retinal ganglion cells. , 1967, Journal of neurophysiology.

[4]  Lester G. Fehmi,et al.  Discrimination among temporal patterns of stimulation in a computer model of a coelenterate nerve net , 1967, Kybernetik.

[5]  M. Tsukada,et al.  Stochastic automaton models for the temporal pattern discrimination of nerve impulse sequences , 1976, Biological Cybernetics.

[6]  T Wakabayashi,et al.  Effect of stimulation with impulse trains of various patterns, including adaptational type, on frog's nerve-muscle and spinal reflex preparations. , 1977, The Tohoku journal of experimental medicine.

[7]  M. Tsukada,et al.  Temporal pattern discrimination of impulse sequences in the computer-simulated nerve cells , 2004, Biological Cybernetics.

[8]  José Pedro Segundo,et al.  Spike probability in neurones: influence of temporal structure in the train of synaptic events , 1966, Kybernetik.

[9]  L. Wall,et al.  ON THE TRANSMISSION OF INFORMATION THROUGH SENSORY NEURONS , 2006 .

[10]  G. P. Moore,et al.  Input-output relations in computer-simulated nerve cells , 1968, Kybernetik.

[11]  G. P. Moore,et al.  SENSITIVITY OF NEURONES IN APLYSIA TO TEMPORAL PATTERN OF ARRIVING IMPULSES. , 1963, The Journal of experimental biology.

[12]  George L. Gerstein,et al.  Mathematical models for the all-or-none activity of some neurons , 1962, IRE Trans. Inf. Theory.

[13]  A TAKEUCHI,et al.  The long-lasting depression in neuromuscular transmission of frog. , 1958, The Japanese journal of physiology.

[14]  C. D. Geisler,et al.  A stochastic model of the repetitive activity of neurons. , 1966, Biophysical journal.

[15]  G. P. Moore,et al.  Neuronal spike trains and stochastic point processes. I. The single spike train. , 1967, Biophysical journal.

[16]  George D. Bittner,et al.  Differentiation of Nerve Terminals in the Crayfish Opener Muscle and Its Functional Significance , 1968, The Journal of general physiology.

[17]  R. Stein,et al.  The information capacity of nerve cells using a frequency code. , 1967, Biophysical journal.

[18]  M ten Hoopen.  Multimodal interval distributions. , 1966, Kybernetik.

[19]  H. Nakahama.  Relation of mean impulse frequency to statistical dependency between intervals in neuronal impulse sequences. , 1966, Journal of neurophysiology.

[20]  L. Walløe.  On the transmission of information through sensory neurons. , 1970, Biophysical journal.

[21]  G. Poggio,et al.  TIME SERIES ANALYSIS OF IMPULSE SEQUENCES OF THALAMIC SOMATIC SENSORY NEURONS. , 1964, Journal of neurophysiology.

[22]  R. Adams.  I. The Synthesis of D- and L-Threo- and D- and L-Erythro-α-Amino-β-hydroxy-n-caproic Acids. II. Experiments on the Preparation of α-Aminoalkanesulfonamides. III. The Influence of Nerve Impulse Sequence on the Contractions of Different Crustacean Muscles , 1950 .

[23]  M Tsukada,et al.  [Statistical analysis and functional interpretation of input-output relation in computer-simulated nerve cells]. , 1972, Iyo denshi to seitai kogaku. Japanese journal of medical electronics and biological engineering.

[24]  J. Birk.  Enhanced specificity of information in axons with negatively correlated adjacent interspike intervals , 1972, Kybernetik.

[25]  G. P. Moore,et al.  PACEMAKER NEURONS: EFFECTS OF REGULARLY SPACED SYNAPTIC INPUT. , 1964, Science.

[26]  Mitsuaki Yamamoto,et al.  Markov process of maintained impulse activity in central single neurons , 1972, Kybernetik.

[27]  M. Tsukada,et al.  Stochastic automaton models for interaction of excitatory and inhibitory impulse sequences in neurons , 1977, Biological Cybernetics.

[28]  D. M. Wilson,et al.  The catch property of ordinary muscle. , 1968, Proceedings of the National Academy of Sciences of the United States of America.