Literature DB >> 19079739

Combining synaptic and cellular resonance in a feed-forward neuronal network.

Jonathan D Drover1, Vahid Tohidi, Amitabha Bose, Farzan Nadim.   

Abstract

We derive a mathematical theory to explain the subthreshold resonance response of a neuron to synaptic input. The theory shows how a neuron combines information from its intrinsic resonant properties with those of the synapse to determine the neuron's generalized resonance response. Our results show that the maximal response of a postsynaptic neuron can lie between the preferred intrinsic frequency of the neuron and the synaptic resonance frequency. We compare our theoretical results to parallel findings on experiments of the crab pyloric central pattern generator.

Year:  2007        PMID: 19079739      PMCID: PMC2600776          DOI: 10.1016/j.neucom.2006.10.135

Source DB:  PubMed          Journal:  Neurocomputing        ISSN: 0925-2312            Impact factor:   5.719


  8 in total

Review 1.  Resonance, oscillation and the intrinsic frequency preferences of neurons.

Authors:  B Hutcheon; Y Yarom
Journal:  Trends Neurosci       Date:  2000-05       Impact factor: 13.837

2.  Synchrony generation in recurrent networks with frequency-dependent synapses.

Authors:  M Tsodyks; A Uziel; H Markram
Journal:  J Neurosci       Date:  2000-01-01       Impact factor: 6.167

3.  From subthreshold to firing-rate resonance.

Authors:  Magnus J E Richardson; Nicolas Brunel; Vincent Hakim
Journal:  J Neurophysiol       Date:  2002-12-27       Impact factor: 2.714

Review 4.  Bursts as a unit of neural information: selective communication via resonance.

Authors:  Eugene M Izhikevich; Niraj S Desai; Elisabeth C Walcott; Frank C Hoppensteadt
Journal:  Trends Neurosci       Date:  2003-03       Impact factor: 13.837

5.  A quantitative description of membrane current and its application to conduction and excitation in nerve.

Authors:  A L HODGKIN; A F HUXLEY
Journal:  J Physiol       Date:  1952-08       Impact factor: 5.182

6.  Synaptic depression mediates bistability in neuronal networks with recurrent inhibitory connectivity.

Authors:  Y Manor; F Nadim
Journal:  J Neurosci       Date:  2001-12-01       Impact factor: 6.167

7.  Subthreshold oscillations of the membrane potential: a functional synchronizing and timing device.

Authors:  I Lampl; Y Yarom
Journal:  J Neurophysiol       Date:  1993-11       Impact factor: 2.714

8.  Resonant behavior and frequency preferences of thalamic neurons.

Authors:  E Puil; H Meiri; Y Yarom
Journal:  J Neurophysiol       Date:  1994-02       Impact factor: 2.714

  8 in total
  7 in total

1.  The frequency preference of neurons and synapses in a recurrent oscillatory network.

Authors:  Hua-an Tseng; Diana Martinez; Farzan Nadim
Journal:  J Neurosci       Date:  2014-09-17       Impact factor: 6.167

2.  Spiking resonances in models with the same slow resonant and fast amplifying currents but different subthreshold dynamic properties.

Authors:  Horacio G Rotstein
Journal:  J Comput Neurosci       Date:  2017-10-24       Impact factor: 1.621

Review 3.  The voltage and spiking responses of subthreshold resonant neurons to structured and fluctuating inputs: persistence and loss of resonance and variability.

Authors:  Rodrigo F O Pena; Horacio G Rotstein
Journal:  Biol Cybern       Date:  2022-01-17       Impact factor: 2.086

4.  Temporal filters in response to presynaptic spike trains: interplay of cellular, synaptic and short-term plasticity time scales.

Authors:  Yugarshi Mondal; Rodrigo F O Pena; Horacio G Rotstein
Journal:  J Comput Neurosci       Date:  2022-07-23       Impact factor: 1.453

5.  Membrane resonance in bursting pacemaker neurons of an oscillatory network is correlated with network frequency.

Authors:  Vahid Tohidi; Farzan Nadim
Journal:  J Neurosci       Date:  2009-05-20       Impact factor: 6.167

6.  Effects of synaptic plasticity on phase and period locking in a network of two oscillatory neurons.

Authors:  Zeynep Akcay; Amitabha Bose; Farzan Nadim
Journal:  J Math Neurosci       Date:  2014-04-29       Impact factor: 1.300

7.  Network resonance can be generated independently at distinct levels of neuronal organization.

Authors:  Eran Stark; Amir Levi; Horacio G Rotstein
Journal:  PLoS Comput Biol       Date:  2022-07-18       Impact factor: 4.779

  7 in total

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