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Jeanette Kotaleski

Professor in Neuroinformatics

KTH Royal Institute of Technology

Sweden

Research Interests

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Professors in Sweden Professors in Neuroscience Neuroscience professors in Sweden

About

Jeanette Kotaleski is a Professor in Neuroinformatics at KTH Royal Institute of Technology, Sweden. Her research focuses on neuronal mechanism modeling, Parkinson's disease effects on striatal networks, and the integration of artificial intelligence in neuronal simulations. Recent articles include work on GABAB receptor signaling and advanced methodologies for neuroscience modeling, reflecting her commitment to combining empirical data with theoretical frameworks.

Articles (14)

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2026

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2025

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2023

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2023

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2022

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2021

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2021

Collaborators (16)

Wojtek James Goscinski

Chief Executive Officer

AUSTRALIA

Jeanette Kotaleski

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Articles (14)

A Neurocomputational Model of Observation-Based Decision Making with a Focus on Trust

Pre- and Post-synaptic Mechanisms of Neuronal Inhibition Assessed Through Biochemically Detailed Modeling of GABAB Receptor Signaling

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

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

A GPU-based computational framework that bridges neuron simulation and artificial intelligence

Cover Image, Volume 13, Issue 1

Transient Response of Basal Ganglia Network in Healthy and Low-Dopamine State

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

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

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Correction to: A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility

A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility.

AKAP79 enables calcineurin to directly suppress protein kinase A activity

Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda

Collaborators (16)

Wojtek James Goscinski

Trygve B. Leergaard

Gary F Egan

Sharon Crook

Johannes Hjorth

Jan G. Bjaalie

Tiina Manninen

Arvind Kumar

Elisa Frezza

Lei Ma

Trevor Smart

Marja-Leena Linne

Juliette Martin

Ilaria Carannante

Matthew G. Gold

Ole A. Andreassen

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