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doctoral thesis

From adult dentate gyrus neurogenesis to pattern separation

Gozel, Olivia  
2019

For a few decades, adult dentate gyrus neurogenesis has been widely recognized by the neuroscience community as an intriguing phenomenon. Two observations are particularly puzzling. At the cellular level, the switch from excitation to inhibition of the GABAergic input onto newborn cells has been shown to be crucial for their proper integration into the existing network of dentate gyrus cells. At the behavioral level, adult-born dentate granule cells have been shown to promote pattern separation of similar stimuli in various tasks, while not playing a role in discrimination of distinct stimuli. It is still unclear, however, how these functionalities arise in the network of dentate gyrus cells. Several models of adult dentate gyrus neurogenesis have been designed with various levels of abstraction, and have suggested different roles of newborn cells. Yet, none of these models could explain how newborn cells promote pattern separation of similar stimuli, and not distinct stimuli. Moreover, none of the previous studies modeled the actual integration of adult-born dentate granule cells in the preexisting circuit, but rather initialized their inward connections to random, but fully grown, weights.

In my thesis work, I bridge the gap between biological and theoretical knowledge on adult dentate gyrus neurogenesis. I address the puzzling experimental observations and explain for the first time with a model: (i) how newborn cells integrate into the preexisting dentate gyrus network, and (ii) how they promote pattern separation of similar stimuli.

More specifically, I propose that the early phase of maturation of newborn cells, when GABAergic input has an excitatory effect, drives the synaptic weights towards the subspace of configurations of familiar stimuli through a cooperative effect. In the late phase of maturation, when GABAergic input switches to inhibitory, the synaptic weights move towards novel features of the presented stimuli through a competitive effect. This theory of newborn cells integration also explains why adult-born dentate granule cells promote better pattern separation of similar stimuli, but not distinct stimuli. Indeed, in the late phase of maturation, newborn cells can only learn novel features that are similar enough to familiar features, because the configuration of their synaptic weights makes them sensitive to familiar features at the end of the early phase of maturation.

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Type
doctoral thesis
DOI
10.5075/epfl-thesis-9789
Author(s)
Gozel, Olivia  
Advisors
Gerstner, Wulfram  
Jury

Prof. Ralf Schneggenburger (président) ; Prof. Wulfram Gerstner (directeur de thèse) ; Prof. Michael Gastpar, Prof. Josef Bischofberger, Prof. Laurenz Wiskott (rapporteurs)

Date Issued

2019

Publisher

EPFL

Publisher place

Lausanne

Public defense year

2019-12-19

Thesis number

9789

Total of pages

132

Subjects

Adult dentate gyrus neurogenesis

•

Competitive network

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Unsupervised learning

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Synaptic plasticity

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Pattern separation

EPFL units
LCN2  
BMI  
Faculty
SV  
School
BMI  
Doctoral School
EDNE  
Available on Infoscience
December 9, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/163875
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