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Miha Pelko

PhD Student

Affiliation(s):

Email: miha.pelko@ed.ac.uk

My interest and research are focussed on understanding the computational aspects of the single neuron in a realistic in-vivo environment. This includes the comparison between the reductionistic models and more biologically plausible simulations as well as the comparison between the behavior of the neuron in a silent environment as opposed to the behavior in the more natural regime where a neuron is being exposed to the synaptic inputs.

Current Projects

  • Synaptic integration in neurons under in vivo-like conditions

  • Related Publications and Presentations

  • Miha Pelko, and Mark C W Van Rossum, "The effects of input integration structure on the spiking responses in the Hodgin-Huxley models", Mathematical Neuroscience 2011, 2011. View Details PDF
  • Paolo Puggioni, Miha Pelko, Mark C W Van Rossum, and Ian Duguid, "Layer specific sub- and suprathreshold coding of voluntary movements in the motor cortex of awake mice", Society for Neuroscience (SfN), 2012. View Details
  • Paolo Puggioni, Miha Pelko, Mark C W Van Rossum, and Ian Duguid, "Integrative properties of motor cortex pyramidal cells during quiet wakefulness and movement", COSYNE, 2013. View Details
  • Miha Pelko, Paolo Puggioni, Mark C W Van Rossum, and Clemens Boucsein, "Determining synaptic input properties from intra-cellular recordings in vivo", FENS-IBRO-Hertie Winter School, 2012. View Details
  • Miha Pelko, and Mark C W Van Rossum, "Membrane Voltage Dynamics In Active Vs. Passive Mice: The Role Of Input Correlations", FENS Abstracts, 2012. View Details
  • Miha Pelko, Paolo Puggioni, Ian Duguid, and Mark C W Van Rossum, "Determining synaptic input properties from intra-cellular recordings in vivo", EuroSPIN Workshop, 2013. View Details
  • Paolo Puggioni, Miha Pelko, Ian Duguid, and Mark C W Van Rossum, "Behaviour differentially regulates firing rates and integrative properties of motor cortex pyramidal neurons", Computational Neuroscience (CNS), Paris 2013, 2013. View Details
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