Jeanette Hellgren Kotaleski

Jeanette Hellgren Kotaleski

Kungliga Tekniska högskolan

H-index: 33

Europe-Sweden

About Jeanette Hellgren Kotaleski

Jeanette Hellgren Kotaleski, With an exceptional h-index of 33 and a recent h-index of 23 (since 2020), a distinguished researcher at Kungliga Tekniska högskolan, specializes in the field of computational neuroscience.

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

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Editorial overview: Computational neuroscience as a bridge between artificial intelligence, modeling and data

Local, calcium-and reward-based synaptic learning rule that enhances dendritic nonlinearities can solve the nonlinear feature binding problem

Glutamate spillover drives robust all-or-none dendritic plateau potentials—an in silico investigation using models of striatal projection neurons

Multiscale molecular simulations to investigate adenylyl cyclase‐based signaling in the brain

Computational modeling of attractor-based neural processes involved in the preparation of voluntary actions

P-122 The substantia nigra pars reticulata in silico

A GPU-based computational framework that bridges Neuron simulation and Artificial Intelligence

Jeanette Hellgren Kotaleski Information

University

Position

___

Citations(all)

4172

Citations(since 2020)

1523

Cited By

3306

hIndex(all)

33

hIndex(since 2020)

23

i10Index(all)

70

i10Index(since 2020)

45

Email

University Profile Page

Kungliga Tekniska högskolan

Google Scholar

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Jeanette Hellgren Kotaleski Skills & Research Interests

computational neuroscience

Top articles of Jeanette Hellgren Kotaleski

Title

Journal

Author(s)

Publication Date

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Katrin Amunts

Andreas Rowald

Spase Petkoski

Maria V Sanchez-Vives

Markus Axer

...

2022

Editorial overview: Computational neuroscience as a bridge between artificial intelligence, modeling and data

Pietro Verzelli

Tatjana Tchumatchenko

Jeanette Hellgren Kotaleski

2024/2/1

Local, calcium-and reward-based synaptic learning rule that enhances dendritic nonlinearities can solve the nonlinear feature binding problem

bioRxiv

Zahra Khodadadi

Daniel Trpevski

Robert Lindroos

Jeanette Hellgren Kotaleski

2024

Glutamate spillover drives robust all-or-none dendritic plateau potentials—an in silico investigation using models of striatal projection neurons

Frontiers in Cellular Neuroscience

Daniel Trpevski

Zahra Khodadadi

Ilaria Carannante

Jeanette Hellgren Kotaleski

2023/6/29

Multiscale molecular simulations to investigate adenylyl cyclase‐based signaling in the brain

Siri C van Keulen

Juliette Martin

Francesco Colizzi

Elisa Frezza

Daniel Trpevski

...

2023/1

Computational modeling of attractor-based neural processes involved in the preparation of voluntary actions

Cognitive Neurodynamics

Azadeh Hassannejad Nazir

Jeanette Hellgren Kotaleski

Hans Liljenström

2023/10/20

P-122 The substantia nigra pars reticulata in silico

Clinical Neurophysiology

WS Thompson

JJJ Hjorth

A Kozlov

J Hellgren-Kotaleski

S Grillner

2023/4/1

A GPU-based computational framework that bridges Neuron simulation and Artificial Intelligence

Nature Communications

Yichen Zhang

Gan He

Lei Ma

Xiaofei Liu

JJ Johannes Hjorth

...

2023/9/18

Glutamate spillover provides robust all-or-none behavior of plateau potentials in multicompartment models of striatal projection neurons

Authorea Preprints

Daniel Trpevski

Zahra Khodadadi

Ilaria Carannante

Jeanette Hellgren Kotaleski

2023/3/29

Reinforcement learning in a spiking neural model of striatum plasticity

Neurocomputing

Álvaro González-Redondo

Jesús Garrido

Francisco Naveros Arrabal

Jeanette Hellgren Kotaleski

Sten Grillner

...

2023/9/1

The impact of Parkinson's disease on striatal network connectivity and cortico-striatal drive: an in-silico study

bioRxiv

Ilaria Carannante

Martina Scolamiero

Johannes Hjorth

Alexander Kozlov

Bo Bekkouche

...

2023

Data-driven modelling and topological analysis of the striatal microcircuitry in health and Parkinson’s disease

ScienceOpen Posters

Ilaria Carannante

JJ Hjorth

Martina Scolamiero

Alexander Kozlov

Bo Bekkouche

...

2023/7/19

Development of a biochemical signalling model of GABAB receptor activation

Tuomo Mäki-Marttunen

Jan Kismul

Tiina Manninen

Marja-Leena Linne

Gaute T Einevoll

...

2023/7/15

Cover Image, Volume 13, Issue 1

Siri C van Keulen

Juliette Martin

Francesco Colizzi

Elisa Frezza

Daniel Trpevski

...

2023/1

The roles of surround inhibition for the intrinsic function of the striatum, analyzed in silico

Proceedings of the National Academy of Sciences

Johanna Frost Nylén

JJ Johannes Hjorth

Alexander Kozlov

Ilaria Carannante

Jeanette Hellgren Kotaleski

...

2023/11/7

A modular workflow for model building, analysis, and parameter estimation in systems biology and neuroscience

Neuroinformatics

João P. G. Santos

Kadri Pajo

Daniel Trpevski

Andrey Stepaniuk

Olivia Eriksson

...

2021/10

A standards organization for open and FAIR neuroscience: the international neuroinformatics coordinating facility

Mathew Birdsall Abrams

Jan G Bjaalie

Samir Das

Gary F Egan

Satrajit S Ghosh

...

2022/1

Combining hypothesis-and data-driven neuroscience modeling in FAIR workflows

Olivia Eriksson

Upinder Singh Bhalla

Kim T Blackwell

Sharon M Crook

Daniel Keller

...

2022/7/6

Databases and Data Repositories in Computational Neuroscience: Overview

Richard C Gerkin

Shreejoy J Tripathy

Sharon M Crook

Jeanette Kotaleski

2022/6/12

Data-driven model of postsynaptic currents mediated by NMDA or AMPA receptors in striatal neurons

Frontiers in Computational Neuroscience

Ilaria Carannante

Yvonne Johansson

Gilad Silberberg

Jeanette Hellgren Kotaleski

2022/5/11

See List of Professors in Jeanette Hellgren Kotaleski University(Kungliga Tekniska högskolan)

Co-Authors

H-index: 113
Sten Grillner

Sten Grillner

Karolinska Institutet

H-index: 59
Jesper Tegnér

Jesper Tegnér

King Abdullah University of Science and Technology

H-index: 47
Anders Lansner

Anders Lansner

Kungliga Tekniska högskolan

H-index: 42
Gilad Silberberg

Gilad Silberberg

Karolinska Institutet

H-index: 38
Erik Aurell

Erik Aurell

Kungliga Tekniska högskolan

H-index: 31
Örjan Ekeberg

Örjan Ekeberg

Kungliga Tekniska högskolan

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