Tag Archives: Solanka

Neural network dynamics of oscillatory activity and spatial memory formation (PhD)

Neural network oscillations are a prevalent mechanism in various nervous systems. Local field potential recordings in vivo and in vitro show synchronous discharges of neurons at frequencies spanning several orders of magnitude. The question of how oscillatory activity in brain contributes to information transmission and storage is still debated. Entorhinal cortex and hippocampus are regions of mammalian brain involving prominent oscillatory activity. They are also believed to form spatial maps of animal’s environment, and lesions of these areas are implicated in spatial and episodic memory impairments. The project investigates dynamics of neural networks in the context of oscillations and spatial memory formation. It includes modeling work tightly coupled to data available from recordings in entorhinal cortex, with focus on how oscillatory activity and map-like neural representations contribute to computations in both regions. The first aim of the work is to understand the dynamics of microcircuitry of excitatory and inhibitory populations in entorhinal cortex, which are known to produce prominent oscillatory activity, by means of abstract and biophysically detailed modeling of neural microcircuits. The developed model will then be used to simulate possible mechanisms of coding spatio-temporal information, e.g. in the form of episodic memories. The work has implications for understanding computational aspects of brain, with possible applications in studying psychological diseases in conjunction with disrupted oscillatory activity.

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Related Publications and Presentations

  • Lukas Solanka, Hugh Pastoll, Mark C W Van Rossum, and Matthew Nolan, “Multiplexing of theta-nested gamma oscillations and grid firing fields in an attractor network model of layer II of the medial entorhinal cortex”, Bernstein Conference 2012, 2012.
  • Lukas Solanka, Hugh Pastoll, Mark C W Van Rossum, and Matthew Nolan, “Co-existence of theta-nested gamma oscillations and grid firing fields in an attractor network model”, Society for Neuroscience (SfN), 2012.
  • Hugh Pastoll, Lukas Solanka, Mark C W Van Rossum, and Matthew Nolan, “Feedback inhibition enables theta-nested gamma oscillations and grid firing fields”, Neuron, 2013, 77, 141-154.

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