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Adaptation in the Visual Cortex: Influence of Membrane Trajectory and Neuronal Firing Pattern on Slow Afterpotentials

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  • Vanessa F Descalzo
  • Roberto Gallego
  • Maria V Sanchez-Vives

Abstract

The input/output relationship in primary visual cortex neurons is influenced by the history of the preceding activity. To understand the impact that membrane potential trajectory and firing pattern has on the activation of slow conductances in cortical neurons we compared the afterpotentials that followed responses to different stimuli evoking similar numbers of action potentials. In particular, we compared afterpotentials following the intracellular injection of either square or sinusoidal currents lasting 20 seconds. Both stimuli were intracellular surrogates of different neuronal responses to prolonged visual stimulation. Recordings from 99 neurons in slices of visual cortex revealed that for stimuli evoking an equivalent number of spikes, sinusoidal current injection activated a slow afterhyperpolarization of significantly larger amplitude (8.5±3.3 mV) and duration (33±17 s) than that evoked by a square pulse (6.4±3.7 mV, 28±17 s; p

Suggested Citation

  • Vanessa F Descalzo & Roberto Gallego & Maria V Sanchez-Vives, 2014. "Adaptation in the Visual Cortex: Influence of Membrane Trajectory and Neuronal Firing Pattern on Slow Afterpotentials," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-10, November.
  • Handle: RePEc:plo:pone00:0111578
    DOI: 10.1371/journal.pone.0111578
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    1. Yousheng Shu & Andrea Hasenstaub & David A. McCormick, 2003. "Turning on and off recurrent balanced cortical activity," Nature, Nature, vol. 423(6937), pages 288-293, May.
    2. Gabriel D Puccini & Maria V Sanchez-Vives & Albert Compte, 2007. "Integrated Mechanisms of Anticipation and Rate-of-Change Computations in Cortical Circuits," PLOS Computational Biology, Public Library of Science, vol. 3(5), pages 1-13, May.
    3. Lu-Yang Wang & Leonard K. Kaczmarek, 1998. "High-frequency firing helps replenish the readily releasable pool of synaptic vesicles," Nature, Nature, vol. 394(6691), pages 384-388, July.
    4. Alexei V. Egorov & Bassam N. Hamam & Erik Fransén & Michael E. Hasselmo & Angel A. Alonso, 2002. "Graded persistent activity in entorhinal cortex neurons," Nature, Nature, vol. 420(6912), pages 173-178, November.
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