PhD Scientific Days 2021

NE_I_P: Neurosciences I. Posters

Dataset of cortical activity recorded with high spatial resolution from anesthetized rats

Előadó neve

Mr. Csaba, Horváth

Előadó munkahelye

Research Centre for Natural Sciences

Előadó telefonszáma

+36704231775

Előadó e-mail címe

csabszlee@gmail.com

Az előadás címe

Dataset of cortical activity recorded with high spatial resolution from anesthetized rats

Szerző(k) neve és munkahelye

Dr. István Ulbert-Research Centre for Natural Sciences
Mr. Csaba Horváth-Research Centre for Natural Sciences
Ms. Lili Fanni Tóth-MSc Student
Dr. Richárd Fiáth-Research Centre for Natural Sciences

Bemutatás módja

Poszter

Szekció

Neurosciences I. Posters

Language of the presentation

English

Preferred session

Neurosciences

Összefoglaló szövege

Publicly available neural recordings obtained with high spatial resolution are scarce. Here, we present an electrophysiological dataset recorded from the neocortex of twenty rats anesthetized with ketamine/xylazine. The wideband, spontaneous recordings were acquired with a single-shank silicon-based probe having 128 densely-packed recording sites arranged in a 32x4 array. The dataset contains the activity of a total of 7126 sorted single units extracted from all layers of the cortex. Here, we share raw neural recordings, as well as spike times, extracellular spike waveforms and several properties of units packaged in a standardized electrophysiological data format. For technical validation of our dataset, we provide the distributions of derived single unit properties along with various spike sorting quality metrics. This large collection of in vivo data enables the investigation of the high-resolution electrical footprint of cortical neurons which in turn may aid their electrophysiology-based classification. Furthermore, the dataset might be used to study the laminar-specific neuronal activity during slow oscillation, a brain rhythm strongly involved in neural mechanisms underlying memory consolidation and sleep.

Hungarian Brain Research Program Grant: 2017-1.2.1-NKP-2017-00002, Hungarian National Research, Development and Innovation Office: TUDFO/51757-1/2019-ITM [Ulbert]
Hungarian Brain Research Program Grant: 2017-1.2.1-NKP-2017-00002, Hungarian National Research, Development and Innovation Office: PD124175, PD134196, TUDFO/51757-1/2019-ITM [Fiáth]

University and Doctoral School

Semmelweis University, János Szentágothai Doctoral School of Neurosciences

Supervisor

Dr. István Ulbert

Publication of my abstract

I give consent to the publication of my abstract on the website of the congress.

Kind

Szabad

Status

elfogadva

Accepted presentation method

poszter

Előadás fájl jóváhagyás

nem rendelkezett róla

Előadó

6003

Start

11:25

End

11:28

Authors (legacy)

Dr. István Ulbert-Research Centre for Natural Sciences
Mr. Csaba Horváth-Research Centre for Natural Sciences
Ms. Lili Fanni Tóth-MSc Student
Dr. Richárd Fiáth-Research Centre for Natural Sciences