Tag Archives: Pelko

Synaptic integration in neurons under in vivo-like conditions (PhD)

The PhD project is primarily focused 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 behaviour of the neuron in a silent environment as opposed to the behaviour in the more natural regime where a neuron is being exposed to the synaptic inputs. The second part of the PhD deals with the adaptations of the network of such neurons on the global changes in the input activity – the intrinsic neuronal homeostasis. We are exploring how the homeostatic mechanism can destabilise the dynamics of the neural networks using the control systems theory.

Related Themes

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.
  • 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.
  • Ian Duguid, “Determining synaptic input properties from intra-cellular recordings in vivo”, FENS-IBRO-Hertie Winter School, 2012.
  • 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.

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