Literature DB >> 11172930

Frequency tuning of input-output relation in a rat cortical neuron in-vitro.

D Tal1, E Jacobson, V Lyakhov, S Marom.   

Abstract

The input-output relation of a single neuron stands at the basis of every biologically oriented description of the brain. This report shows that the input-output relation of cultured cortical neurons is non-linearly tuned by the input frequency. Increasing the rate of stimulation results in the appearance of ordered temporal firing patterns, which are qualitatively different for different input frequencies. The experimental results of this study lead to the conclusion that frequency tuning of neuronal input-output relation arises from activity-dependent rates at the molecular level underlying the mechanism of excitability itself.

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Year:  2001        PMID: 11172930     DOI: 10.1016/s0304-3940(01)01534-8

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  10 in total

1.  Dynamics of excitability over extended timescales in cultured cortical neurons.

Authors:  Asaf Gal; Danny Eytan; Avner Wallach; Maya Sandler; Jackie Schiller; Shimon Marom
Journal:  J Neurosci       Date:  2010-12-01       Impact factor: 6.167

2.  Low-frequency stimulation induces stable transitions in stereotypical activity in cortical networks.

Authors:  Ildikó Vajda; Jaap van Pelt; Pieter Wolters; Michela Chiappalone; Sergio Martinoia; Eus van Someren; Arjen van Ooyen
Journal:  Biophys J       Date:  2008-03-13       Impact factor: 4.033

Review 3.  Beyond faithful conduction: short-term dynamics, neuromodulation, and long-term regulation of spike propagation in the axon.

Authors:  Dirk Bucher; Jean-Marc Goaillard
Journal:  Prog Neurobiol       Date:  2011-06-17       Impact factor: 11.685

4.  Dopamine modulation of Ih improves temporal fidelity of spike propagation in an unmyelinated axon.

Authors:  Aleksander W Ballo; Farzan Nadim; Dirk Bucher
Journal:  J Neurosci       Date:  2012-04-11       Impact factor: 6.167

5.  Is the brain's inertia for motor movements different for acceleration and deceleration?

Authors:  Bhim M Adhikari; Kristen M Quinn; Mukesh Dhamala
Journal:  PLoS One       Date:  2013-10-21       Impact factor: 3.240

6.  Cellular function given parametric variation in the Hodgkin and Huxley model of excitability.

Authors:  Hillel Ori; Eve Marder; Shimon Marom
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-15       Impact factor: 11.205

7.  Dynamic clamp constructed phase diagram for the Hodgkin and Huxley model of excitability.

Authors:  Hillel Ori; Hananel Hazan; Eve Marder; Shimon Marom
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-05       Impact factor: 11.205

8.  Order-based representation in random networks of cortical neurons.

Authors:  Goded Shahaf; Danny Eytan; Asaf Gal; Einat Kermany; Vladimir Lyakhov; Christoph Zrenner; Shimon Marom
Journal:  PLoS Comput Biol       Date:  2008-11-21       Impact factor: 4.475

9.  Adaptive transition rates in excitable membranes.

Authors:  Shimon Marom
Journal:  Front Comput Neurosci       Date:  2009-02-10       Impact factor: 2.380

10.  A computational paradigm for dynamic logic-gates in neuronal activity.

Authors:  Amir Goldental; Shoshana Guberman; Roni Vardi; Ido Kanter
Journal:  Front Comput Neurosci       Date:  2014-04-29       Impact factor: 2.380

  10 in total

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