# Computational Neuroscience Lab


## Pages

- [Home](https://englitz.nl/): Lab Mission The brain is a formidable computing device, outperforming our smartest algorithms in flexibility and efficiency. Understanding its key principles will enable both fundamental insights, novel treatments and technological applications. In the lab we try to discover some of these principles using a combination of computational and neurophysiological tools. Specifically we are interested in developing and applying advanced analysis to complex, real-world conditions using various machine learning tools.  We have three main research lines:  Processing of sounds in the auditory system, which we research by collecting neural population recordings from behaving mice via electrophysiology (NeuroPixel 2.0, up to 768 […]
- [Funders](https://englitz.nl/funders/): The lab has received funding from multiple sources over the past years.
- [Code](https://englitz.nl/code/): DATA ACQUISITION MANTA provides a performant Matlab package for performing many-many-channel (~1440) recordings, e.g. with electrophysiological data from single cell, MEG, EEG, uECOG probes. It features rich display & filtering options, some spikesorting, support for 3D arrays, and both analog and digital headstages. Altogether this translates in an extensible system at fairly low costs (<$90/channel). For more details, take a look at our publication on the system. The latest code for MANTA can be downloaded from Google Code. EXPERIMENTAL CONTROL CONTROLLER provides a near real-time, event-based Matlab framework for combined data-acquisition and behavioral control. It supports the integration of National Instruments DAQ, Arduino I/O […]
- [Publications](https://englitz.nl/publications/): Up to date list on Pubmed Occasionally updated list with PDFs :
- [Teaching](https://englitz.nl/teaching/): FALL SPRING PREVIOUS COURSES
- [Collaborators](https://englitz.nl/collaborators/): Local Prof. Marcel van Gerven, Dept. for Artificial Intelligence  on dynamic modeling of large-scale neural data Prof. Paul Tiesinga, Donders Center for Neuroscienceon network models of cortical networks Dr. Fleur Zeldenrust, Donders Center for Neuroscienceon biophysical models of neural computation Dr. Sharon Kolk, Donders Center for Neuroscience  electrophysiological recordings from brain organoids Prof. Simon Fisher, MPI for Psycholinguisticson the neural basis of social vocalizations in mice Remote Dr. Misha Ahrens, HHMI, Janelia Farms, USAon large-scale neural data-analysis Prof. Manolo Malmierca, Univ. Salamanca, Spainon whole-brain recordings in zebrafish Prof. Yves Boubenec, ENS, Paris, Franceon auditory physiology & behavior Prof. Shihab Shamma & Dr. Jonathan Fritz, […]
- [Team](https://englitz.nl/team/): GROUP LEADER Bernhard Englitz, Ph.D. (Contact) Acquisition & Computational Analysis of High-Density Neuronal Recordings in Mice Computational Analysis of High-Dimensional Neural and Behavioral Data Acquisition & Computational Analysis of Human EEG Data SCIENTIFIC STAFF Debbie Tilburg-Ouwens (shared support in the section Neurobiology at DCN, contact)Competences: Molecular work, Histology, Lab management, PAM, Contactperson Autoclave. Post-Doctoral Researchers Gesa Berretz (jointly with Floris de Lange)Topic: Lateralization of Predictive Representations in the Brain Deniz Kilinic Bülbül (jointly with Judith Homberg)Topic: Validation of LiveScope audiovisual tracking Evrim Yilmaz, Ph.D. candidate (Visiting)Topics: Neural Representation of Muscle Spindle activations in the brainstem PHD STUDENTS Ruben Teunisse, Ph.D. candidateTopics: Developing […]
- [Research](https://englitz.nl/research/): We combines computational and experimental approaches, which can be grouped by two fundamental research lines. AUDITORY CODING & SOCIAL COMMUNICATION Audition is a fascinating research topic. The auditory system perform many tasks effortlessly, such as localizing sounds, identifying auditory objects and recognizing auditory textures. The representation of sounds in the auditory cortex is an exciting field of research, in particular as recent techniques allow us to record from large populations. In the lab we use electrophysiology (Neuropixel 2.0, up to 768 Channels) and Ca-imaging (GCaMP8m, Widefield and 2-photon) in combination with optogenetic cell-type identification to understand the representation of complex […]


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