[Extracted from DiVA, the publication database at KTH.]

Chakravarty, K.; Roy, S.; Sinha, A.; Nambu, A.; Chiken, S.; Hellgren Kotaleski, J.; Kumar, A. (2022):
Transient Response of Basal Ganglia Network in Healthy and Low-Dopamine State.
eNeuro 9: ENEURO.0376-21.2022 [Details]
Carannante, I.; Johansson, Y.; Silberberg, G.; Hellgren Kotaleski, J. (2022):
Data-Driven Model of Postsynaptic Currents Mediated by NMDA or AMPA Receptors in Striatal Neurons.
Frontiers in Computational Neuroscience 16: [Details]
Eriksson, O.; Bhalla, U.; Blackwell, K.; Crook, S.; Keller, D.; Kramer, A.; Linne, M.; Saudargiene, A.; Wade, R.; Hellgren Kotaleski, J. (2022):
Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows.
eLIFE 11: [Details]
Nylen, J.; Hjorth, J.; Grillner, S.; Hellgren Kotaleski, J. (2021):
Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda.
Frontiers in Neural Circuits 15: [Details]
Church, T.; Tewatia, P.; Hannan, S.; Antunes, J.; Eriksson, O.; Smart, T.; Hellgren Kotaleski, J.; Gold, M. (2021):
AKAP79 enables calcineurin to directly suppress protein kinase A activity.
eLIFE 10: [Details]
Santos, J.; Pajo, K.; Trpevski, D.; Stepaniuk, A.; Eriksson, O.; Nair, A.; Keller, D.; Hellgren Kotaleski, J.; Kramer, A. (2021):
A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience.
Neuroinformatics : [Details]
Hjorth, J.; Hellgren Kotaleski, J.; Kozlov, A. (2021):
Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda.
Neuroinformatics 19: 685-701 [Details]
Abrams, M.; Bjaalie, J.; Das, S.; Egan, G.; Ghosh, S.; Goscinski, W.; Grethe, J.; Hellgren Kotaleski, J.; Ho, E.; Kennedy, D.; Lanyon, L.; Leergaard, T.; Mayberg, H.; Milanesi, L.; Mouček, R.; Poline, J.; Roy, P.; Strother, S.; Tang, T.; Tiesinga, P.; Wachtler, T.; Wójcik, D.; Martone, M. (2021):
A Standards Organization for Open and FAIR Neuroscience - the International Neuroinformatics Coordinating Facility.
Neuroinformatics : [Details]
Frost Nylén, J.; Carannante, I.; Grillner, S.; Hellgren Kotaleski, J. (2020):
Reciprocal interaction between striatal cholinergic and low-threshold spiking interneurons — A computational study.
European Journal of Neuroscience : [Details]
Lindroos, R.; Hellgren Kotaleski, J. (2020):
Predicting complex spikes in striatal projection neurons of the direct pathway following neuromodulation by acetylcholine and dopamine.
European Journal of Neuroscience : [Details]
Grillner, S.; Robertson, B.; Hellgren Kotaleski, J. (2020):
Basal Ganglia-A Motion Perspective.
Comprehensive Physiology 10: 1241-1275 [Details]
Hjorth, J.; Kozlov, A.; Carannante, I.; Nylen, J.; Lindroos, R.; Johansson, Y.; Tokarska, A.; Dorst, M.; Suryanarayana, S.; Silberberg, G.; Hellgren Kotaleski, J.; Grillner, S. (2020):
The microcircuits of striatum in silico.
Proceedings of the National Academy of Sciences of the United States of America 117: 9554-9565 [Details]
Bruce, N.; Narzi, D.; Trpevski, D.; van Keulen, S.; Nair, A.; Rothlisberger, U.; Wade, R.; Carloni, P.; Hällgren Kotaleski, J. (2019):
Regulation of adenylyl cyclase 5 in striatal neurons confers the ability to detect coincident neuromodulatory signals.
PloS Computational Biology 15: [Details]
Suryanarayana, S.; Hellgren Kotaleski, J.; Grillner, S.; Gurney, K. (2019):
Roles for globus pallidus externa revealed in a computational model of action selection in the basal ganglia.
Neural Networks 109: 113-136 [Details]
Blackwell, K.; Salinas, A.; Tewatia, P.; English, B.; Hellgren Kotaleski, J.; Lovinger, D. (2019):
Molecular mechanisms underlying striatal synaptic plasticity - relevance chronic alcohol consumption and seeking.
European Journal of Neuroscience 49: 768-783 [Details]
Nair, A.; Castro, L.; El Khoury, M.; Gorgievski, V.; Giros, B.; Tzavara, E.; Hellgren Kotaleski, J.; Vincent, P. (2019):
The high efficacy of muscarinic M4 receptor in D1 medium spiny neurons reverses striatal hyperdopaminergia.
Neuropharmacology 146: 74-83 [Details]
Eriksson, O.; Jauhiainen, A.; Sasane, S.; Kramer, A.; Nair, A.; Sartorius, C.; Hellgren Kotaleski, J. (2019):
Uncertainty quantification, propagation and characterization by Bayesian analysis combined with global sensitivity analysis applied to dynamical intracellular pathway models.
Bioinformatics 35: 284-292 [Details]
Yapo, C.; Nair, A.; Hellgren Kotaleski, J.; Vincent, P.; Castro, L. (2018):
Switch-like PKA responses in the nucleus of striatal neurons.
Journal of Cell Science 131: [Details]
Farisco, M.; Kotaleski, J.; Evers, K. (2018):
Large-scale brain simulation and disorders of consciousness. Mapping technical and conceptual issues.
Frontiers in Psychology 9: [Details]
Lindroos, R.; Dorst, M.; Du, K.; Filipovic, M.; Keller, D.; Ketzef, M.; Kozlov, A.; Kumar, A.; Lindahl, M.; Nair, A.; Perez-Fernandez, J.; Grillner, S.; Silberberg, G.; Hällgren Kotaleski, J. (2018):
Basal Ganglia Neuromodulation Over Multiple Temporal and Structural Scales-Simulations of Direct Pathway MSNs Investigate the Fast Onset of Dopaminergic Effects and Predict the Role of Kv4.2.
Frontiers in Neural Circuits 12: [Details]
Zeng, Y.; He, Y.; Hellgren Kotaleski, J.; Martone, M.; Xu, B.; Peng, H.; Luo, Q. (2017):
[Conference paper] 16 November 2017 through 18 November 2017; Lect. Notes Comput. Sci. V-VII [Details]
Balbi, P.; Massobrio, P.; Hellgren Kotaleski, J. (2017):
A single Markov-type kinetic model accounting for the macroscopic currents of all human voltage-gated sodium channel isoforms.
PloS Computational Biology 13: [Details]
Belic, J.; Kumar, A.; Hellgren Kotaleski, J. (2017):
Interactions in the Striatal Network with Different Oscillation Frequencies.
[Conference paper] Artificial Neural Networks and Machine Learning – ICANN 2017; Artificial Neural Networks and Machine Learning – ICANN. Lecture Notes in Computer Science 129-136 [Details]
Bahuguna, J.; Tetzlaff, T.; Kumar, A.; Hellgren Kotaleski, J.; Morrison, A. (2017):
Homologous Basal Ganglia Network Models in Physiological and Parkinsonian Conditions.
Frontiers in Computational Neuroscience 11: [Details]
Du, K.; Wu, Y.; Lindroos, R.; Liu, Y.; Rózsa, B.; Katona, G.; Ding, J.; Hellgren Kotaleski, J. (2017):
Cell-type–specific inhibition of the dendritic plateau potential in striatal spiny projection neurons.
Proceedings of the National Academy of Sciences of the United States of America 114: E7612-E7621 [Details]
Belic, J.; Kumar, A.; Hellgren Kotaleski, J. (2017):
The role of striatal feedforward inhibition in propagation of cortical oscillations.
BMC neuroscience (Online) 18: 91-91 [Details]
Brocke, E.; Djurfeldt, M.; Bhalla, U.; Hellgren Kotaleski, J.; Hanke, M. (2017):
Multirate method for co-simulation of electrical-chemical systems in multiscale modeling.
Journal of Computational Neuroscience 42: 245-256 [Details]
Belić, J.; Kumar, A.; Hellgren Kotaleski, J. (2017):
Interplay between periodic stimulation and GABAergic inhibition in striatal network oscillations.
PLOS ONE 12: 1-17 [Details]
Belic, J.; Hellgren Kotaleski, J. (2016):
Striatal processing of cortical neuronal avalanches – A computational investigation.
[Conference paper] 25th International Conference on Artificial Neural Networks, ICANN 2016, Barcelona, Spain, 6 September 2016 through 9 September 2016; International Conference on Artificial Neural Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 72-79 [Details]
Berthet, P.; Lindahl, M.; Tully, P.; Hellgren-Kotaleski, J.; Lansner, A. (2016):
Functional Relevance of Different Basal Ganglia Pathways Investigated in a Spiking Model with Reward Dependent Plasticity.
Frontiers in Neural Circuits 10: [Details]
Ekeberg, Ö.; Fransén, E.; Hellgren Kotaleski, J.; Herman, P.; Kumar, A.; Lansner, A.; Lindeberg, T. (2016):
Computational Brain Science at CST, CSC, KTH.
Other [Details]
Belic, J.; Halje, P.; Richter, U.; Per, P.; Hellgren Kotaleski, J. (2016):
Untangling cortico-striatal connectivity and cross-frequency coupling in L-DOPA-induced dyskinesia.
Frontiers in Systems Neuroscience 10: 1-12 [Details]
Brocke, E.; Bhalla, U.; Djurfeldt, M.; Hällgren Kotaleski, J.; Hanke, M. (2016):
Efficient Integration of Coupled Electrical-Chemical Systems in Multiscale Neuronal Simulations.
Frontiers in Computational Neuroscience 10: [Details]
Nair, A.; Bhalla, U.; Kotaleski, J. (2016):
Role of DARPP-32 and ARPP-21 in the Emergence of Temporal Constraints on Striatal Calcium and Dopamine Integration.
PloS Computational Biology 12: [Details]
Lindahl, M.; Kotaleski, J. (2016):
Untangling Basal Ganglia Network Dynamics and Function - Role of Dopamine Depletion and Inhibition Investigated in a Spiking Network Model.
eNeuro 3: [Details]
Belic, J.; Halje, P.; Richter, U.; Petersson, P.; Hellgren Kotaleski, J. (2015):
Corticostriatal circuits and their role in disease.
Frontiers in Neuroscience 8: 31 [Details]
Belic, J.; Halje, P.; Richter, U.; Petersson, P.; Hällgren Kotaleski, J. (2015):
Behavior Discrimination Using a Discrete Wavelet Based Approach for Feature Extraction on Local Field Potentials in the Cortex and Striatum.
[Conference paper] 7th Annual International IEEE EMBS Conference on Neural Engineering; 7th International IEEE/EMBS Conference on Neural Engineering (NER) 964-967 [Details]
Belic, J.; Klaus, A.; Plenz, D.; Hällgren Kotaleski, J. (2015):
Mapping of Cortical Avalanches to the Striatum.
Chapter in book [Details]
Nair, A.; Gutierrez-Arenas, O.; Eriksson, O.; Vincent, P.; Hellgren Kotaleski, J. (2015):
Sensing Positive versus Negative Reward Signals through Adenylyl Cyclase-Coupled GPCRs in Direct and Indirect Pathway Striatal Medium Spiny Neurons.
Journal of Neuroscience 35: 14017-14030 [Details]
Sweeney, Y.; Hellgren Kotaleski, J.; Hennig, M. (2015):
A Diffusive Homeostatic Signal Maintains Neural Heterogeneity and Responsiveness in Cortical Networks.
PloS Computational Biology 11: [Details]
Kozlov, A.; Kardamakis, A.; Hällgren Kotaleski, J.; Grillner, S. (2014):
Gating of steering signals through phasic modulation of reticulospinal neurons during locomotion.
Proceedings of the National Academy of Sciences of the United States of America 111: 3591-3596 [Details]
Nair, A.; Gutierrez-Arenas, O.; Eriksson, O.; Jauhiainen, A.; Blackwell, K.; Hällgren Kotaleski, J. (2014):
Modeling Intracellular Signaling Underlying Striatal Function in Health and Disease.
Chapter in book [Details]
Gutierrez-Arenas, O.; Eriksson, O.; Hellgren Kotaleski, J. (2014):
Segregation and Crosstalk of D1 Receptor-Mediated Activation of ERK in Striatal Medium Spiny Neurons upon Acute Administration of Psychostimulants.
PloS Computational Biology 10: e1003445 [Details]
Belic, J.; Klaus, A.; Plenz, D.; Hellgren Kotaleski, J. (2013):
Impact of inhibition in striatal decorrelation of cortical neuronal avalanches.
BMC neuroscience (Online) 14: 165 [Details]
Lindahl, M.; Sarvestani, I.; Ekeberg, Ö.; Hällgren Kotaleski, J. (2013):
Signal enhancement in the output stage of the basal ganglia by synaptic short-term plasticity in the direct, indirect, and hyperdirect pathways.
Frontiers in Computational Neuroscience 7: UNSP 76 [Details]
Paille, V.; Fino, E.; Du, K.; Morera-Herreras, T.; Perez, S.; Hällgren Kotaleski, J.; Venance, L. (2013):
GABAergic Circuits Control Spike-Timing-Dependent Plasticity.
Journal of Neuroscience 33: 9353-9363 [Details]
Berthet, P.; Hällgren Kotaleski, J.; Lansner, A. (2012):
Action selection performance of a reconfigurable Basal Ganglia inspired model with Hebbian-Bayesian Go-NoGo connectivity.
Frontiers in Behavioral Neuroscience 6: 65 [Details]
Brandi, M.; Brocke, E.; Talukdar, H.; Hanke, M.; Bhalla, U.; Djurfeldt, M.; Hellgren Kotaleski, J. (2011):
Multiscale modeling through MUSIC multi-simulation - Modeling a dendritic spine using MOOSE and NeuroRD.
[Conference paper] 4th INCF Congress of Neuroinformatics, Boston, USA, 4 Sep - 6 Sep, 2011; Front. Neuroinform. Conference Abstract [Details]
Lindahl, M.; Hellgren Kotaleski, J. (2011):
Short term plasticity within the basal ganglia - a systems level computational investigation.
BMC neuroscience (Online) 12: P145 [Details]
Fino, E.; Paille, V.; Du, K.; Morera Herreras, T.; Hellgren Kotaleski, J.; Venance, L. (2011):
GABA operates as a Hebbian/anti-Hebbian switch for spike-timing-dependent plasticity .
[Conference paper] Neuroscience 2011, Washington, DC, November 12-16, 2011; [Details]