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ANC Workshop: Yann Sweeney and Lukas Solanka, Chair: Paolo Puggioni

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  • ANC Workshop Talk
When Feb 05, 2013
from 11:00 AM to 12:00 PM
Where IF 4.31/4.33
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Lukas Solanka

Modeling microcircuits of space representation in the rodent entorhinal cortex

Grid cells in the medial entorhinal cortex (MEC) encode location through firing fields that form grid-like maps of the environment. At the same time network activity in the MEC is dominated by oscillations in the theta (4-12 Hz) and gamma (30-100 Hz) bands. In my project, I use a spiking continuous attractor neural network with a twisted torus topology to model the dynamics of local circuits and formation of grid-like receptive fields. I will describe the model, its assumptions, and show that the model attractor state can co-exist with external theta and nested gamma oscillations and that the network can integrate velocity information into a coherent grid-like receptive field. These properties are consistent with recent experimental recordings from the MEC.


Yann Sweeney

Modelling homeostatic control of function and metabolic efficiency in single neurons

Abstract: Intrinsic electrical properties of neurons are controlled by a number of homeostatic mechanisms, among which are the modulation of conductances of voltage-dependent ion channels. One such example is mediated by Nitric Oxide (NO) in the Medial Nucleus of the Trapezoid Body (MNTB), relay neurons located in the auditory brainstem and involved in sound localisation. NO is released here in an activity-dependent manner and switches the basis of action potential (AP) repolarisation from Kv3 to Kv2. We have investigated this homeostatic regulation in a multi-compartment neuron model and have measured the transmission fidelity and metabolic efficiency of AP generation for different NO states. Preliminary results suggest that the role of NO is to minimise the metabolic cost of APs against the constraint of maintaining sufficient EPSC transmission fidelity.