Reviews: 

• • Cortical Specializations Underlying Fast Computations. 
    Volgushev M. 
    Neuroscientist 2016 22:145-164 PMID: 25689988 
    doi: 10.1177/1073858415571539. Review. 

My favorite: 

• • Fast computations in cortical ensembles require rapid initiation of action potentials. 
    Ilin V, Malyshev A, Wolf F, Volgushev M. 
    The Journal of Neuroscience 2013, 33:2281-2292 
    doi: 10.1523/JNEUROSCI.0771-12.2013
  • Energy-efficient encoding by shifting spikes in neocortical neurons 
    Malyshev A, Volgushev S, Tchumatchenko T, Volgushev M. 
    European Journal of Neuroscience, 2013, 38:3181-3188. 
    doi: 10.1111/ejn.12338.
  • Unique features of action potential initiation in cortical neurons. 
    Naundorf B, Wolf F, Volgushev M. 
    Nature 2006 440:1060-1063 ( Supplements & comments below )
    Link
  • A novel mechanism of response selectivity of neurons in cat visual cortex. 
    Volgushev M, Pernberg J, Eysel UT. 
    Journal of Physiology, 2002 540.1: 307-320
     Volgushev_JPhysiol2002v540p307.PDF <—-mia

More: AP onset & encoding; MP oscillations & encoding; Spike correlations 

Action potential onset and encoding: 

• • Advantages and limitations of the use of optogenetic approach in studying fast-scale spike encoding. 
    Malyshev A, Goz R, LoTurco JJ, Volgushev M. 
    PLoS One. 2015 10:e0122286 PMID: 25850004 
    doi: 10.1371/journal.pone.0122286 
  • Injection of fully-defined signal mixtures: a novel high-throughput tool to study neuronal encoding and computations. 
    Ilin V, Stevenson IH, Volgushev M 
    PLoS One. 2014, 9(10):e109928 
    doi: 10.1371/journal.pone.0109928 
  • A small fraction of strongly cooperative sodium channels boosts neuronal encoding of high frequencies. 
    Huang M, Volgushev M, Wolf F. 
    PLoS ONE 2012, 7(5):e37629 
    doi: 10.1371/journal.pone.0037629
  • Ultrafast population encoding by cortical neurons. 
    Tchumatchenko T, Malyshev A, Wolf F, Volgushev M. 
    The Journal of Neuroscience 2011, 31:12171-12179 
    doi: 10.1523/JNEUROSCI.2182-11.2011
  • The determinants of the onset dynamics of action potentials in a computational model.
    Baranauskas G, Mukovskiy A, Wolf F, Volgushev M. 
    Neuroscience 2010, 167:1070-1090 
    doi: 10.1016/j.neuroscience.2010.02.072
  • Onset dynamics of action potentials in rat neocortical neurons and identified snail neurons: quantification of the difference. 
    Volgushev M, Malyshev A, Balaban P, Chistiakova M, Volgushev S, Wolf F. 
    PLoS ONE 2008 3: e1962 
    doi: 10.1371/journal.pone.0001962
    Link
  • Unique features of action potential initiation in cortical neurons. 
    Naundorf B, Wolf F, Volgushev M. 
    Nature 2006 440:1060-1063 
    Link
    Supplements: 
    Supplement 1
    Supplement 2
    Supplement 3
  • Neurophysiology: Hodgkin and Huxley model – still standing? (Reply) 
    Naundorf B, Wolf F, Volgushev M. 
    Nature 2007, 445(7123):E2-E3 
    Link
    Supplemental Information 

Membrane potential oscillations and encoding: 

• • Modulation of the amplitude of gamma-band activity by stimulus phase enhances signal encoding. 
    Hoch T, Volgushev S, Malyshev A, Obermayer K, Volgushev M. 
    European Journal of Neuroscience, 2011, 33:1223-1239 
    doi: 10.1111/j.1460-9568.2011.07593.x
  • Response selectivity and gamma-frequency fluctuations of the membrane potential in visual cortical neurons 
    Volgushev M, Pernberg J, Eysel UT. 
    Neurocomputing, 2004 58-60:957-963 
  • Gamma-frequency fluctuations of the membrane potential and response selectivity in visual cortical neurons. 
    Volgushev M, Pernberg J, Eysel UT. 
    European Journal of Neuroscience, 2003 17: 1768-1776
    Link
  • A novel mechanism of response selectivity of neurons in cat visual cortex. 
    Volgushev M, Pernberg J, Eysel UT. 
    Journal of Physiology, 2002 540.1: 307-320
     Volgushev_JPhysiol2002v540p307.PDF
  • Neuroscience. Noise makes sense in neuronal computing. (Perspective). 
    Volgushev M, Eysel UT. 
    Science 2000 290:1908-1909 
  • Modification of discharge patterns of neocortical neurons by induced oscillations of the membrane potential. 
    Volgushev M, Chistiakova M, Singer W. 
    Neuroscience 1998 83:15-25
    Link

Spike correlations: 

• Identifying and tracking simulated synaptic inputs from neuronal firing: insights from in vitro experiments. 
  Volgushev M, Ilin V, Stevenson IH. 
  PLoS Comput Biology 2015 11: e1004167. PMID: 25823000 
  doi: 10.1371/journal.pcbi.1004167 
• Spike correlations – what can they tell about synchrony? 
  Tchumatchenko T, Geisel T, Volgushev M, Wolf F. 
  Frontiers in Neuroscience 2011, 5:68 
  doi: 10.3389/fnins.2011.00068
• Signatures of synchrony in pairwise count correlations. 
  Tchumatchenko T, Geisel T, Volgushev M, Wolf F. 
  Frontiers in Comput Neurosci 2010, Apr 8, 4: Article 1, 1-10 
  doi: 10.3389/neuro.10.001.2010
• Correlations and synchrony in threshold neuron models. 
  Tchumatchenko T, Malyshev A, Geisel T, Volgushev M, Wolf F. 
  Physical Review Letters 2010, 104: 058102-1-4 
• Interaction of neurons in the orientational column of the cat visual cortex. 
  Volgushev MA 
  Sensory systems 1987 1:200-207 (transl. from Russian) 
• Neuronal interaction in the cat cerebellar cortex: a crosscorrelation analysis. 
  Volgushev MA, Zuravska I, Tarnecki R 
  Neurophysiology. New York. 1987 19:672-678 (transl. from Russian)