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Topic: GCamp8

ePoster
3 ePosters

In Neuroscience

Anatomical, electrophysiological, and functional characterization of lateral septal cholinergic neurons

Dániel Schlingloff, Ágnes Simon, Victoria Lyakhova, Balázs Hangya · FENS Forum 2024

The lateral septum (LS) integrates diverse subcortical and cortical inputs to generate appropriate affective behavioral responses related to fear, reward, social behaviors, and memory. Contrary to the medial septum (MS) the LS is considered an entirely GABAergic nucleus where neurons express a plethora of GABAergic markers in a partially overlapping manner. In this work, we describe a neglected and underappreciated neuronal subclass in the lateral septum expressing choline-acetyltransferase (ChAT), therefore named Lateral Septum Cholinergic Neurons (LSCNs). ChAT expressing neurons are immunohi

ePoster · Neuroscience

A mouse model of profound hypothermia and rewarming: A system for investigating temperature-dependent synaptic plasticity

Tina Kleven, Suman Kumar, Sverre Grødem, Kristian Lensjø, Rafal Ciosk, Marianne Fyhn · FENS Forum 2024

During the course of hibernation a rapid and reversible retraction and remodeling of dendrites and spines occurs in the brain of small hibernating mammals. Similar plasticity is also observed in hypothermic mice and rats, suggesting that the phenomenon is not exclusively regulated by hibernation-specific gene expression. While plasticity mechanisms during hibernation have mainly been studied in the hippocampus, the brain wide expression of a reversible and temperature-dependent phosphorylation of microtubule-associated protein tau (MAP-Tau), in both hibernating animals and non-hibernators, fur

ePoster · Neuroscience

Supervised spike inference from calcium imaging data: New datasets, new analyses

Peter Rupprecht, Andrei Sdrulla, Fritjof Helmchen · FENS Forum 2024

Calcium imaging is a key method to record from identified neurons in the living brain. To infer spiking activity from neuronal calcium signals, we have previously developed CASCADE, a method based on supervised deep learning1. To train the algorithm, we assembled a database of simultaneous calcium and electrophysiological recordings from the same neurons in several brain regions in mouse and zebrafish1. Here, we provide additional datasets and analyses. First, we now include ground truth datasets recorded from excitatory and inhibitory neurons of mouse spinal cord. A CASCADE model for spike in

ePoster · Neuroscience