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Institute of Physiology
University of Freiburg
Hermann-Herder-Str. 7
79104 Freiburg
Germany
How to find us

 

Physiology I
Prof. Dr. Marlene Bartos
Tel.: +49 (0)761 203 5194
Fax.: +49 (0)761 203 5204

 

Physiology II
Prof. Dr. Bernd Fakler
Tel. +49 761 203-5176
Fax +49 761 203-5191
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Institute for Physiologie, Department I

here you can find our new website: 

Institute for Physiologie, Department I

 

Prof. Dr. Marlene Bartos (Lichtenberg-Professur)                                                        

Institute for Physiology, Department I

 

Systemic and Cellular Neuroscience


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 NEWS:

  •  NEURON Paper accepted!

Cholvin T, Hainmueller T, Bartos M (2021) The hippocampus converts dynamic entorhinal inputs into stable spatial maps. Neuron 109:3135-3148.

 

Neuronal Representation - From Synapses & Microcircuits to Behaviour

NEW DATE: The Symposium is postponed to July 1 - 2, 2022.

 

 

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How is information processed and encoded in neuronal networks to realize learning, memory and behaviour?
This is one of the most fundamental questions in modern life sciences. We aim to uncover the mechanisms underlying information processing by applying electrophysiological, imaging, molecular and computational approaches.

 

 Syn1

Synaptically connected pair of a granule cell and a basket cell in the dentate gyrus.


Our main objectives are:

  1. To determine cellular and molecular mechanisms underlying synaptic communication among cortical neurons.
  2. To examine the cellular basis of network synchronization in the health and diseased brain.
  3. To identify the rules for induction of synaptic plasticity.
  4. To elucidate the role of neuron types in cognition and behaviour.
  5. To examine the mechanisms underlying the emergence of network oscillations during development of neuronal network.



Research

 

A fundamental and fascinating feature of the mammalian brain is its capacity to acquire and store novel information. However, little progress has been made on how memory is represented in neuronal networks. Our research is focused on understanding the mechanisms underlying the emergence of learning-associated active cell populations, so called cell assemblies, representing new memories. We aim to focus this question on the rodent dentate gyrus (DG), the input region of the hippocampus, known to be functionally vital for acquiring new memories in humans, nonhuman primates and rodents. So far our group efforts have been clarifying the cellular and synaptic properties of neurons and synapses in the DG circuitry and the mechanisms underlying the synchronization of neuronal networks for the encoding of information. Moreover, we have investigated the cellular, synaptic and network mechanisms important for the development of neuronal networks, specifically of GABAergic inhibitory cells. Our major questions which have been brought into sharp focus based on recent scientific observations are as follows:

 

1. understand the spatial and temporal emergence of learning-associated cell assemblies representing new
    memories,

2. delineate the nature and relevance of the major functional (cellular, synaptic, plasticity) and structural  changes
    underlying cell assembly formation

3. understand the functional and dynamic characteristics of synaptic communication among cells and their role in
   information processing in cortical microcircuits

4. identify the role of the high variety of GABAergic cells in neuronal network function and cell assembly formation

5. examine dysfunction of cellular components in specific mouse models underlying neuronal diseases

 

To address these questions we use state-of-the-art techniques which include:

 

1. imaging and manipulating activity of neuron populations during behaviour at high spatial and temporal resolution

2. dissect and manipulate the mechanisms underlying synaptic transmission and plasticity on a cell-type and
    synapse-specific manner in the living animal

3. record from pairs of neurons in acute slice preparations

4. perform behavioural analysis during in vivo single unit and local field potential recordings

5. apply optophysiological techniques to recruit or silence defined neuron types in specific brain areas

6. combine electrophysiological with computational approaches

 

 

 

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