Tim Gollisch

Tim Gollisch

Georg-August-Universität Göttingen

H-index: 27

Europe-Germany

About Tim Gollisch

Tim Gollisch, With an exceptional h-index of 27 and a recent h-index of 18 (since 2020), a distinguished researcher at Georg-August-Universität Göttingen, specializes in the field of Neuroscience, Retina.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies

Most discriminative stimuli for functional cell type clustering

Neuronal temporal filters as normal mode extractors

AMPA receptor desensitization shapes gain control in the lateral geniculate nucleus

Convolutional neural network models of the primate retina reveal adaptation to natural stimulus statistics

Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the Retina

Maximally discriminative stimuli for functional cell type identification

Diversity of Ganglion Cell Responses to Saccade-Like Image Shifts in the Primate Retina

Tim Gollisch Information

University

Position

University Medical Center Göttingen

Citations(all)

4087

Citations(since 2020)

1647

Cited By

3109

hIndex(all)

27

hIndex(since 2020)

18

i10Index(all)

44

i10Index(since 2020)

35

Email

University Profile Page

Georg-August-Universität Göttingen

Google Scholar

View Google Scholar Profile

Tim Gollisch Skills & Research Interests

Neuroscience

Retina

Top articles of Tim Gollisch

Title

Journal

Author(s)

Publication Date

Modeling spatial contrast sensitivity in responses of primate retinal ganglion cells to natural movies

bioRxiv

Shashwat Sridhar

Michaela Vystrcilova

Mohammad H Khani

Dimokratis Karamanlis

Helene M Schreyer

...

2024

Most discriminative stimuli for functional cell type clustering

arXiv preprint arXiv:2401.05342

Max F Burg

Thomas Zenkel

Michaela Vystrčilová

Jonathan Oesterle

Larissa Höfling

...

2023/11/29

Neuronal temporal filters as normal mode extractors

Physical Review Research

Siavash Golkar

Jules Berman

David Lipshutz

Robert Mihai Haret

Tim Gollisch

...

2024/1/29

AMPA receptor desensitization shapes gain control in the lateral geniculate nucleus

bioRxiv

Sonia Ruggieri

Tim Gollisch

Jakob von Engelhardt

2024

Convolutional neural network models of the primate retina reveal adaptation to natural stimulus statistics

bioRxiv

Michaela Vystrčilová

Shashwat Sridhar

Max F Burg

Tim Gollisch

Alexander S Ecker

2024

Applying Super-Resolution and Tomography Concepts to Identify Receptive Field Subunits in the Retina

bioRxiv

Steffen Krueppel

Mohammad H Khani

Helene M Schreyer

Shashwat Sridhar

Varsha Ramakrishna

...

2023

Maximally discriminative stimuli for functional cell type identification

Max F Burg

Thomas Zenkel

Michaela Vystrčilová

Jonathan Oesterle

Larissa Höfling

...

2023/10/13

Diversity of Ganglion Cell Responses to Saccade-Like Image Shifts in the Primate Retina

Journal of Neuroscience

Steffen Krüppel

Mohammad H Khani

Dimokratis Karamanlis

Yunus C Erol

Sören J Zapp

...

2023/7/19

A mutation in ATP11A causes autosomal-dominant auditory neuropathy type 2

Human Molecular Genetics

Shashank Chepurwar

Sarah M von Loh

Daniela C Wigger

Jakob Neef

Peter Frommolt

...

2023/4/1

Natural stimuli drive concerted nonlinear responses in populations of retinal ganglion cells

bioRxiv

Dimokratis Karamanlis

Mohammad H Khani

Helene M Schreyer

Soeren J Zapp

Matthias Mietsch

...

2023

Retinal receptive-field substructure: scaffolding for coding and computation

Sören J Zapp

Steffen Nitsche

Tim Gollisch

2022/6/1

Simple model for encoding natural images by retinal ganglion cells with nonlinear spatial integration

PLoS computational biology

Jian K Liu

Dimokratis Karamanlis

Tim Gollisch

2022/3/8

Filter-based models of suppression in retinal ganglion cells: comparison and generalization across species and stimuli

bioRxiv

Neda Shahidi

Fernando Rozenblit

Mohammad H Khani

Helene M Schreyer

Matthias Mietsch

...

2022

Molecular mechanisms mediating the transfer of disease-associated proteins and effects on neuronal activity

Journal of Parkinson's disease

Inês C Brás

Mohammad H Khani

Eftychia Vasili

Wiebke Möbius

Dietmar Riedel

...

2022/1/1

Ectosomes and exosomes modulate neuronal spontaneous activity

Journal of Proteomics

Inês C Brás

Mohammad H Khani

Dietmar Riedel

Iwan Parfentev

Ellen Gerhardt

...

2022/10/30

Retinal encoding of natural scenes

Dimokratis Karamanlis

Helene Marianne Schreyer

Tim Gollisch

2022/9/15

Novel transient cell clusters provide a possible link between early neural activity and angiogenesis in the neonatal mouse retina

bioRxiv

Jean de Montigny

Courtney Thorne

Diya Bhattacharya

Dimitrios Bousoulas Sertedakis

Vidhyasankar Krishnamoorthy

...

2022/8/6

Nonlinear spatial integration in retinal bipolar cells shapes the encoding of artificial and natural stimuli

Neuron

Helene Marianne Schreyer

Tim Gollisch

2021/5/19

Nonlinear spatial integration underlies the diversity of retinal ganglion cell responses to natural images

Journal of Neuroscience

Dimokratis Karamanlis

Tim Gollisch

2021/4/14

Common molecular mechanisms underlie the transfer of alpha-synuclein, Tau and huntingtin and modulate spontaneous activity in neuronal cells

bioRxiv

Inês Caldeira Brás

Mohammad Hossein Khani

Eftychia Vasili

Wiebke Möbius

Dietmar Riedel

...

2021/7/19

See List of Professors in Tim Gollisch University(Georg-August-Universität Göttingen)

Co-Authors

H-index: 81
Haim Sompolinsky

Haim Sompolinsky

Hebrew University of Jerusalem

H-index: 75
Tobias Moser

Tobias Moser

Georg-August-Universität Göttingen

H-index: 53
Johann Helmut Brandstätter

Johann Helmut Brandstätter

Friedrich-Alexander-Universität Erlangen-Nürnberg

H-index: 45
Stylianos Michalakis

Stylianos Michalakis

Ludwig-Maximilians-Universität München

H-index: 40
Ariel Rokem

Ariel Rokem

University of Washington

H-index: 38
François Paquet-Durand

François Paquet-Durand

Eberhard Karls Universität Tübingen

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