Publication

Duration of Purkinje cell complex spikes increases with their firing frequency

Publications associées (29)

High synaptic threshold for dendritic NMDA spike generation in human layer 2/3 pyramidal neurons

Neurons receive synaptic input primarily onto their dendrites. While we know much about the electrical properties of dendrites in rodents, we have only just started to describe their properties in the human brain. Here, we investigate the capacity of human ...

2022

Timing is Everything

Karen Adam

In this thesis, timing is everything. In the first part, we mean this literally, as we tackle systems that encode information using timing alone. In the second part, we adopt the standard, metaphoric interpretation of this saying and show the importance of ...

EPFL2022

Epigenetic plasticity as a signature for memory allocation

Giulia Santoni

Long-lasting memories are stored in a small set of neurons scattered throughout the brain, so-called engram cells. To define a stable engram each region of the brain involved in memory storage recruits between 5 and 20 percent of excitatory neurons. In par ...

EPFL2022

Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas

Carl Petersen, Sylvain Crochet, Romain Guiet, Georgios Foustoukos, Vahid Esmaeili, Keita Tamura, Anastasiia Oryshchuk, Yanqi Liu, Reza Asri

Excitatory and inhibitory neurons in diverse cortical regions are likely to contribute differentially to the transformation of sensory information into goal-directed motor plans. Here, we investigate the relative changes across mouse sensorimotor cortex in ...

2022

A conditional glutamatergic synaptic vesicle marker for Drosophila

Evelyne Ruchti, Brian Donal McCabe

Glutamate is a principal neurotransmitter used extensively by the nervous systems of all vertebrate and invertebrate animals. It is primarily an excitatory neurotransmitter that has been implicated in nervous system development, as well as a myriad of brai ...

OXFORD UNIV PRESS INC2022

Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types

Werner Alfons Hilda Van Geit, Anatoly Buchin

Which cell types constitute brain circuits is a fundamental question, but establishing the correspondence across cellular data modalities is challenging. Bio-realistic models allow probing cause-and-effect and linking seemingly disparate modalities. Here, ...

2022

A universal workflow for creation, validation and generalization of detailed neuronal models

Henry Markram, Srikanth Ramaswamy, Alexis Arnaudon, Werner Alfons Hilda Van Geit, Christian Andreas Rössert, Mustafa Anil Tuncel, Tanguy Pierre Louis Damart, Maria Reva, Darshan Mandge

Detailed single neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex is vast, most of the available computational tools are dedicated to the reproduction of a small set of specific ...

Cambridge2023

A Time Encoding Approach to Training Spiking Neural Networks

Karen Adam

While Spiking Neural Networks (SNNs) have been gaining in popularity, it seems that the algorithms used to train them are not powerful enough to solve the same tasks as those tackled by classical Artificial Neural Networks (ANNs).In this paper, we provide ...

IEEE2022

Uncovering the neural encoding of behavior in the adult Drosophila motor system

Chin-Lin Chen

One of the most important goals in neuroscience research has always been to understand how animals control their behavior. However, the long focus on the role of brain neurons in behavioral control might be missing the full story. In fact, brain-wide fluct ...

EPFL2022