Literature DB >> 978519

Spike initiation by transmembrane current: a white-noise analysis.

H L Bryant, J P Segundo.   

Abstract

1. Those features of a transmembrane current correlated with spike initiation were examined in Aplysia neurones using a Gaussian white-noise stimulus. This stimulus has the advantages that it presents numerous wave forms in random order without prejudgement as to their efficacies, and that it allows straightforward statistical calculations. 2. Stimulation with a repeating segment of Gaussian white-noise current revealed remarkable invariance in the firing times of the tested neurones and indicated a high degree of reliability of their response. 3. Frequencies (less than 5 Hz) involved in spike triggering propagated faithfully for up to several millimetres, justifying intrasomatic current injection to examine spike initiation at the trigger locus. 4. Examination of current wave forms preceding spikes indicated that a wide variety could be effective. Hence, a statistical analysis was performed, including computation of probability densities, averages, standard deviations and correlation coefficients of pairs of current values. Each statistic was displayed as a function of time before the spike. 5. The average current trajectory preceding a spike was multiphasic and depended on the presence and polarity of a d.c. bias. An early relatively small inward- or outward-going phase was followed by a large outward phase before the spike. The early phase tended to oppose the polarity of the d.c. bias. 6. The late outward phase of the average current trajectory reached a maximum 40--75 msec before triggering the action potential (AP) and returned to near zero values at the moment of triggering. The fact that the current peak occurs in advance of the AP may be partially explained by a phase delay between the transmembrane current and potential. The failure of the average current trajectory to return to control values immediately following the peak argues for a positive role of the declining phase in spike triggering. 7. Probability densities preceding spikes were Gaussian, indicating that the average was also the most probable value. Although the densities were broad, confirming that spikes were preceded by a wide variety of current wave forms, their standard deviations were reduced significantly with respect to controls, suggesting preferred status of the average current trajectory in spike triggering. 8. The matrix of correlation coefficients between current pairs suggested that spikes tended to be preceded by wave forms that in part kept close to the average current trajectory and in part preserved its shape. 9. The average first and second derivatives of spike-evoking epochs revealed that current slope and acceleration, respectively, were most crucial in the last 200 msec before spike triggering, and that these dynamic stimulus components were more important for a cell maintained under a depolarizing, rather than a hyperpolarizing bias. 10...

Mesh:

Year:  1976        PMID: 978519      PMCID: PMC1309092          DOI: 10.1113/jphysiol.1976.sp011516

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  19 in total

1.  ACCOMMODATION, LOCAL RESPONSE AND MEMBRANE POTENTIAL IN SPINAL MOTONEURONS OF THE CAT.

Authors:  K SASAKI; H OKA
Journal:  Jpn J Physiol       Date:  1963-10-15

2.  Accommodation in motoneurons as modified by circumstantial conditions.

Authors:  K SASAKI; T OTANI
Journal:  Jpn J Physiol       Date:  1962-08-15

3.  Accommodation and local response in motoneurons of toad's spinal cord.

Authors:  T ARAKI; T OTANI
Journal:  Jpn J Physiol       Date:  1959-03-25

4.  On the rate of variation of the exciting current as a factor in electric excitation.

Authors:  K Lucas
Journal:  J Physiol       Date:  1907-12-31       Impact factor: 5.182

5.  Correlations of neuronal spike discharges produced by monosynaptic connections and by common inputs.

Authors:  H L Bryant; A R Marcos; J P Segundo
Journal:  J Neurophysiol       Date:  1973-03       Impact factor: 2.714

6.  Voltage threshold in excitable cells depends on stimulus form.

Authors:  M V Bennett; B Hille; S Obara
Journal:  J Neurophysiol       Date:  1970-09       Impact factor: 2.714

7.  Responses of cat spinal motoneuron somata and axons to linearly rising currents.

Authors:  W R Schlue; D W Richter; K H Mauritz; A C Nacimiento
Journal:  J Neurophysiol       Date:  1974-03       Impact factor: 2.714

8.  Accommodative reactions of neuronal elements in the spinal cord.

Authors:  J Ushiyama; K Koizumi; C M Brooks
Journal:  J Neurophysiol       Date:  1966-11       Impact factor: 2.714

9.  Sodium and calcium components of action potentials in the Aplysia giant neurone.

Authors:  D Geduldig; D Junge
Journal:  J Physiol       Date:  1968-12       Impact factor: 5.182

10.  Site of origin and propagation in spike in the giant neuron of Aplysia.

Authors:  L TAUC
Journal:  J Gen Physiol       Date:  1962-07       Impact factor: 4.086

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  114 in total

1.  Noise in neurons is message dependent.

Authors:  G A Cecchi; M Sigman; J M Alonso; L Martínez; D R Chialvo; M O Magnasco
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

2.  The transient precision of integrate and fire neurons: effect of background activity and noise.

Authors:  M C Van Rossum
Journal:  J Comput Neurosci       Date:  2001 May-Jun       Impact factor: 1.621

3.  Influence of subthreshold nonlinearities on signal-to-noise ratio and timing precision for small signals in neurons: minimal model analysis.

Authors:  Gytis Svirskis; John Rinzel
Journal:  Network       Date:  2003-02       Impact factor: 1.273

4.  Enhancement of signal-to-noise ratio and phase locking for small inputs by a low-threshold outward current in auditory neurons.

Authors:  Gytis Svirskis; Vibhakar Kotak; Dan H Sanes; John Rinzel
Journal:  J Neurosci       Date:  2002-12-15       Impact factor: 6.167

5.  An analysis of the reliability phenomenon in the FitzHugh-Nagumo model.

Authors:  Efstratios K Kosmidis; K Pakdaman
Journal:  J Comput Neurosci       Date:  2003 Jan-Feb       Impact factor: 1.621

6.  Subthreshold outward currents enhance temporal integration in auditory neurons.

Authors:  Gytis Svirskis; Ramana Dodla; John Rinzel
Journal:  Biol Cybern       Date:  2003-11-28       Impact factor: 2.086

7.  Spike generating dynamics and the conditions for spike-time precision in cortical neurons.

Authors:  Boris Gutkin; G Bard Ermentrout; Michael Rudolph
Journal:  J Comput Neurosci       Date:  2003 Jul-Aug       Impact factor: 1.621

8.  Impact of noise on retinal coding of visual signals.

Authors:  Christopher L Passaglia; John B Troy
Journal:  J Neurophysiol       Date:  2004-04-07       Impact factor: 2.714

9.  Sensory coding in oscillatory electroreceptors of paddlefish.

Authors:  Alexander B Neiman; David F Russell
Journal:  Chaos       Date:  2011-12       Impact factor: 3.642

10.  Time coupling of skeletomotor discharges in response to pseudo-random transsynaptic and transmembrane stimulation.

Authors:  R Anastasijević; K Jovanović; M Ljubisavljević; J Vuco
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

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