Jeanette Hellgren Kotaleski

A neurocomputational model of observation-based decision making with a focus on trust

This paper presents a neurocomputational model that explains how observation-based decision making and trust interact, using EEG-like simulations to represent brain activity in a climate change-related scenario.

A local inhibitory plasticity rule for control of neuronal firing rate and supralinear dendritic integration

This paper introduces a local inhibitory plasticity rule that controls neuronal firing rate and supralinear dendritic integration in striatal projection neurons.

Neurodynamics of prefrontal areas in volitional contexts: a comparative study based on computational modelling and EEG/ERP data

This study uses computational modeling and EEG/ERP data to compare neural dynamics of self-initiated and externally triggered actions, finding distinct preparatory patterns in prefrontal areas.

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

This paper introduces a local synaptic learning rule in striatal projection neurons that solves the nonlinear feature binding problem through dendritic nonlinearities and calcium-based mechanisms.

Pre- and postsynaptic mechanisms of neuronal inhibition assessed through biochemically detailed modelling of GABAB receptor signalling

The paper develops a computational model of GABAB receptor signaling to study pre- and postsynaptic mechanisms of neuronal inhibition and validates it using electrophysiological data.

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

This in-silico study predicts how Parkinson's disease alters striatal network connectivity and glutamatergic drive to striatal projection neurons.

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

This paper introduces a GPU-based framework that accelerates neuron simulations and applies it to neuroscience and AI tasks, showing significant speed improvements over traditional methods.

Transient response of basal ganglia network in healthy and low-dopamine state

This study uses a network model of the basal ganglia to show that low-dopamine state alters transient responses and oscillatory activity through changes in direct pathway and recurrent connectivity within the globus pallidus externa.

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

The paper introduces a modular workflow for building, analyzing, and parameter estimating biochemical models, enhancing interoperability and reusability across different simulators and formats.

Predicting synaptic connectivity for large-scale microcircuit simulations using Snudda

The paper describes an open-source pipeline using Snudda to predict microcircuit connectivity and set up simulations for mouse dorsal striatum, illustrating steps for modeling subcortical nuclei.

Regulation of adenylyl cyclase 5 in striatal neurons confers the ability to detect coincident neuromodulatory signals

The paper uses simulations to show that the inactive ternary complex of AC5, Golf, and Gi enables synergistic cAMP production in response to coincident neuromodulatory signals.

Uncertainty quantification, propagation and characterization by Bayesian analysis combined with global sensitivity analysis applied to dynamical intracellular pathway models

The paper combines Bayesian analysis and global sensitivity analysis to quantify and propagate uncertainty in dynamical intracellular pathway models, identifying key parameters for experimental focus.

Analysis of proteins in computational models of synaptic plasticity

The paper maps proteins in biophysical models of synaptic plasticity, finding 4.2% of synaptic proteins are modelled and identifying gaps in disease-related proteins.

Interplay between periodic stimulation and GABAergic inhibition in striatal network oscillations

This study uses a large-scale network model to show how fast-spiking interneurons influence striatal oscillations by shaping high-frequency activity in medium spiny neurons.

Untangling cortico-striatal connectivity and cross-frequency coupling in L-DOPA-induced dyskinesia

This study examines cortico-striatal connectivity and cross-frequency coupling in parkinsonian and dyskinesia states using local field potentials in rats.