Publications

Article

Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction

Hess, Florian and Götz, Florian and Durstewitz, Daniel. arXiv preprint arXiv:2605.12683

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Article

Teacher Forcing as Generalized Bayes: Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics

Herz, Andre and Durstewitz, Daniel and Koppe, Georgia. arXiv preprint arXiv:2604.25904

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Article

dsLassoCov: a federated Lasso approach incorporating covariate control

Cao, Han and Anguita-Ruiz, Augusto and Warembourg, Charline and Escribà-Montagut, Xavier and Vrijheid, Martine and Gonzalez, Juan R and Cadman, Tim and Setó-Llorens, Adrià and Schneider-Lindner, Verena and Durstewitz, Daniel and others. Scientific Reports

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Article

A multi-task learning approach combining regression and classification tasks for joint feature selection

Cao, Han and Rajan, Sivanesan and Hahn, Bianka and Kocak, Ersoy and Brenner, Manuel and Hess, Florian and Schefzik, Roman and Durstewitz, Daniel and Koppe, Georgia and Schwarz, Emanuel and others. Scientific Reports

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Article

A normative reference for large-scale human brain dynamics across the lifespan

Yang, Yanwu and Sharma, Nitin and Dai, Sicheng and Mallus, Francesco and Su, Guinan and Kand, Atharva and Zabihi, Mariam and Aln{\ae}s, Dag and Buitelaar, Jan K and Croy, Ilona and others. bioRxiv

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Article

Position: Why a Dynamical Systems Perspective is Needed to Advance Time Series Modeling

Daniel Durstewitz and Christoph Jürgen Hemmer and Florian Hess and Charlotte Ricarda Doll and Lukas Eisenmann. arXiv preprint arXiv:2602.16864

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Article

Continuous-Time Piecewise-Linear Recurrent Neural Networks

Alena Brändle and Lukas Eisenmann and Florian Götz and Daniel Durstewitz. arXiv preprint arXiv:2602.15649

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Inproceedings

Detecting Invariant Manifolds in ReLU-Based RNNs

Lukas Eisenmann and Alena Brändle and Zahra Monfared and Daniel Durstewitz. The Fourteenth International Conference on Learning Representations

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Article

True zero-shot inference of dynamical systems preserving long-term statistics

Hemmer, Christoph Jürgen and Durstewitz, Daniel. Advances in Neural Information Processing Systems

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Inproceedings

Learning Interpretable Hierarchical Dynamical Systems Models from Time Series Data

Manuel Brenner and Elias Weber and Georgia Koppe and Daniel Durstewitz. The Thirteenth International Conference on Learning Representations

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Article

Computational network models for forecasting and control of mental health trajectories in digital applications

Janik Fechtelpeter and Christian Rauschenberg and Christian Goetzl and Selina Hiller and Niklas Emonds and Silvia Krumm and Ulrich Reininghaus and Daniel Durstewitz and Georgia Koppe. medRxiv

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Article

What Neuroscience Can Teach AI About Learning in Continuously Changing Environments

Daniel Durstewitz and Bruno Averbeck and Georgia Koppe. arXiv preprint arXiv:2507.02103

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Article

Health-Promoting Effects and Everyday Experiences With a Mental Health App Using Ecological Momentary Assessments and AI-Based Ecological Momentary Interventions Among Young People: Qualitative Interview and Focus Group Study

Selina Hiller and Christian Götzl and Christian Rauschenberg and Janik Fechtelpeter and Georgia Koppe and Eva Wierzba and Julia Sauter and Sina Dietrich and Daniel Durstewitz and Ulrich Reininghaus and others. JMIR mHealth and uHealth

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Article

Abstract rule learning promotes cognitive flexibility in complex environments across species

Florian Bähner and Tzvetan Popov and Nico Boehme and Selina Hermann and Tom Merten and Hélène Zingone and Georgia Koppe and Andreas Meyer-Lindenberg and Hazem Toutounji and Daniel Durstewitz. Nature Communications

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Inproceedings

Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics

Manuel Brenner and Florian Hess and Georgia Koppe and Daniel Durstewitz. Forty-first International Conference on Machine Learning

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Inproceedings

Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction

Christoph Hemmer and Manuel Brenner and Florian Hess and Daniel Durstewitz. Forty-first International Conference on Machine Learning

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Inproceedings

A scalable generative model for dynamical system reconstruction from neuroimaging data

Eric Volkmann and Alena Brändle and Daniel Durstewitz and Georgia Koppe. The Thirty-eighth Annual Conference on Neural Information Processing Systems

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Inproceedings

Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction

Manuel Brenner and Christoph Hemmer and Zahra Monfared and Daniel Durstewitz. The Thirty-eighth Annual Conference on Neural Information Processing Systems

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Inproceedings

Out-of-Domain Generalization in Dynamical Systems Reconstruction

Niclas Göring and Florian Hess and Manuel Brenner and Zahra Monfared and Daniel Durstewitz. Forty-first International Conference on Machine Learning

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Article

A control theoretic approach to evaluate and inform ecological momentary interventions

Janik Fechtelpeter and Christian Rauschenberg and Hamidreza Jalalabadi and Benjamin Boecking and Therese Amelsvoort and Ulrich Reininghaus and Daniel Durstewitz and Georgia Koppe. International Journal of Methods in Psychiatric Research

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Article

Critical alterations in the brain and psyche

Manuel Brenner and Daniel Durstewitz. Der Nervenarzt

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Article

Quantifying brain-functional dynamics using deep dynamical systems: Technical considerations

Jiarui Chen and Anastasia Benedyk and Alexander Moldavski and Heike Tost and Andreas Meyer-Lindenberg and Urs Braun and Daniel Durstewitz and Georgia Koppe and Emanuel Schwarz. Iscience

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Article

The experience sampling methodology as a digital clinical tool for more person-centered mental health care: an implementation research agenda

Inez Myin-Germeys and Anita Schick and Thomas Ganslandt and Michal Hajdúk and Anton Heretik and Ine Van Hoyweghen and Glenn Kiekens and Georgia Koppe and Luca Marelli and Iveta Nagyova and others. Psychological Medicine

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Article

The ReCoDe addiction research consortium: Losing and regaining control over drug intake—Findings and future perspectives

Rainer Spanagel and Patrick Bach and Tobias Banaschewski and Anne Beck and Felix Bermpohl and Rick E Bernardi and Christian Beste and Lorenz Deserno and Daniel Durstewitz and Ulrich Ebner-Priemer and others. Addiction Biology

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Strategies, processes, outcomes, and costs of implementing experience sampling-based monitoring in routine mental health care in four European countries: study protocol for the IMMERSE effectiveness-implementation study

Ulrich Reininghaus and Matthias Schwannauer and Islay Barne and Joanne R Beames and Rafaël A Bonnier and Manuel Brenner and Dagmar Breznoščáková and Daniel Dančík and Manuela De Allegri and Simona Di Folco and Daniel Durstewitz and others. BMC psychiatry

Article

Inproceedings

Bifurcations and loss jumps in RNN training

Lukas Eisenmann and Zahra Monfared and Niclas Alexander Göring and Daniel Durstewitz. NeurIPS 2023

Inproceedings

Generalized Teacher Forcing for Learning Chaotic Dynamics

Florian Hess and Zahra Monfared and Manuel Brenner and Daniel Durstewitz. Proceedings of Machine Learning Research, ICML 2023

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Article

Reconstructing Computational Dynamics from Neural Measurements with Recurrent Neural Networks

Daniel Durstewitz and Georgia Koppe and Max Ingo Thurm. Nature Reviews Neuroscience

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Article

Visualization of Discontinuous Vector Field Topology

Egzon Miftari and Daniel Durstewitz and Filip Sadlo. IEEE Transactions on Visualization & Computer Graphics

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Article

Model-based experimental manipulation of probabilistic behavior in interpretable behavioral latent variable models

Janine Thome and Mathieu Pinger and Daniel Durstewitz and Wolfgang H Sommer and Peter Kirsch and Georgia Koppe. Frontiers in Neuroscience

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Resolving the prefrontal mechanisms of adaptive cognitive behaviors: A cross-species perspective

Ileana L Hanganu-Opatz and Thomas Klausberger and Torfi Sigurdsson and Andreas Nieder and Simon N Jacob and Marlene Bartos and Jonas-Frederic Sauer and Daniel Durstewitz and Christian Leibold and Ilka Diester. Neuron

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Article

Distinct hippocampal-prefrontal neural assemblies coordinate memory encoding, maintenance, and recall

Aleksander PF Domanski and Michal T Kucewicz and Eleonora Russo and Mark D Tricklebank and Emma SJ Robinson and Daniel Durstewitz and Matt W Jones. Current Biology

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Inproceedings

Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems

Manuel Brenner and Florian Hess and Jonas Mikhaeil and Leonard Bereska and Zahra Monfared and Po-Chen Kuo and Daniel Durstewitz. Proceedings of Machine Learning Research, ICML 2022

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Inproceedings

Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series

Daniel Kramer and Philine Lou Bommer and Carlo Tombolini and Georgia Koppe and Daniel Durstewitz. Proceedings of Machine Learning Research

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Inproceedings

On the difficulty of learning chaotic dynamics with RNNs

Jonas M. Mikhaeil and Zahra Monfared and Daniel Durstewitz. 36th Conference on Neural Information Processing Systems (NeurIPS 2022).

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Article

Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding

Svenja Melbaum and Eleonora Russo and David Eriksson and Artur Schneider and Daniel Durstewitz and Thomas Brox and Ilka Diester. bioRxiv

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Article

Robust chaos and multi-stability in piecewise linear recurrent neural networks

Zahra Monfared and Mahashweta Patra and Daniel Durstewitz. Preprint

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Article

Towards a formal model of psychological intervention: Applying a dynamic network and control approach to attitude modification

Julia Elina Stocker and Georgia Koppe and Hanna Reich Paredes and Saeideh Heshmati and Stefan G Hofmann and Tim Hahn and Han Maas and Lourens Waldorp and Hamidreza Jamalabadi. PsyArXiv

Article

Species-conserved mechanisms of cognitive flexibility in complex environments

Florian Bähner and Tzvetan Popov and Selina Hermann and Nico Boehme and Tom Merten and Hélène Zingone and Georgia Koppe and Andreas Meyer-Lindenberg and Hazem Toutounji and Daniel Durstewitz. bioRxiv

Article

Artificial intelligence-informed mobile mental health apps for young people: a mixed-methods approach on users’ and stakeholders’ perspectives

Christian Götzl and Selina Hiller and Christian Rauschenberg and Anita Schick and Janik Fechtelpeter and Unai Fischer Abaigar and Georgia Koppe and Daniel Durstewitz and Ulrich Reininghaus and Silvia Krumm. Child and Adolescent Psychiatry and Mental Health

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Comparing Discounting of Potentially Real Rewards and Losses by Means of Functional Magnetic Resonance Imaging

Mathieu Pinger and Janine Thome and Patrick Halli and Wolfgang H. Sommer and Georgia Koppe and Peter Kirsch. Frontiers in System Neuroscience

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Article

A Model Guided Approach to Evoke Homogeneous Behavior During Temporal Reward and Loss Discounting

Janine Thome and Mathieu Pinger and Patrick Halli and Daniel Durstewitz and Wolfgang H. Sommer and Peter Kirsch and Georgia Koppe. Frontiers in Psychiatry

Article DOI

Article

Model-based experimental manipulation of probabilistic behavior in interpretable behavioral latent variable models

Janine Thome and Mathieu Pinger and Daniel Durstewitz and Wolfgang Sommer and Peter Kirsch and Georgia Koppe. PsyArXiv Preprints

Article DOI

Article

Artificial intelligence applications in social media for depression screening: A systematic review protocol for content validity processes

Priscilla N. Owusu and Ulrich Reininghaus and Georgia Koppe and Irene Dankwa-Mullan and Till Bärnighausen. PLoS ONE

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Article

Classification of amyotrophic lateral sclerosis by brain volume, connectivity, and network dynamics

Janine Thome and Robert Steinbach and Julian Grosskreutz and Daniel Durstewitz and Georgia Koppe. Human Brain Mapping

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Article

Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia

Giulio Pergola Anais Harneit Urs Braun. Nature Communications

Article DOI

Article

Coordinated prefrontal state transition leads extinction of reward-seeking behaviors

Eleonora Russo and Tianyang Ma and Rainer Spanagel and Daniel Durstewitz and Hazem Toutounji and Georg Köhr. Journal of Neuroscience

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Article

Deep learning for small and big data in psychiatry

Daniel Durstewitz Andreas Meyer-Lindenberg Georgia Koppe. Neuropsychopharmacology

Article DOI

Article

Phasic dopamine reinforces distinct striatal stimulus encoding in the olfactory tubercle driving dopaminergic reward prediction

Carla Filosa Max Scheller Lars-Lennart Oettl. Nature Communications

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Article

Phasic dopamine reinforces distinct striatal stimulus encoding in the olfactory tubercle driving dopaminergic reward prediction

Carla Filosa Max Scheller Lars-Lennart Oettl. Nature Communications

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Article

Transformation of ReLU-based recurrent neural networks from discrete-time to continuous-time

Daniel Durstewitz Zahra Monfared. Proceedings of the International Conference on Machine Learning

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Article

Existence of n-cycles and border-collision bifurcations in piecewise-linear continuous maps with applications to recurrent neural networks

Daniel Durstewitz Zahra Monfared. Nonlinear Dynamics

Article DOI

Article

Aberrant probabilistic reinforcement learning in first-degree relatives of individuals with bipolar disorder

Julia Linke and Georgia Koppe and Vanessa Scholz and Philipp Kanske and Daniel Durstewitz and Michèle Wessa. Journal of Affective Disorders

Article DOI

Article

Coordinated prefrontal state transition leads extinction of reward-seeking behaviors

Rainer Spanagel Tianyang Ma Eleonora Russo. biorxiv

Article DOI

Article

Psychiatric Illnesses as Disorders of Network Dynamics

Daniel Durstewitz Quentin Huys Georgia Koppe. Biological Psychiatry

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Article

Inferring Dynamical Systems with Long-Range Dependencies through Line Attractor Regularization

Dominik Schmidt and Georgia Koppe and Max Beutelspacher and Daniel Durstewitz

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Article

Phasic dopamine enhances the distinct decoding and perceived salience of stimuli

Sebastian Wieland Max Scheller Lars-Lennart Oettl. bioRxiv

Article DOI

Article

Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI

Georgia Koppe and Hazem Toutounji and Peter Kirsch and Stefanie Lis and Daniel Durstewitz. PLOS Computational Biology

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Article

Brain state stability during working memory is explained by network control theory, modulated by dopamine D1/D2 receptor function, and diminished in schizophrenia

Giulio Pergola Anais Harneit Urs Braun. Arxiv Preprint

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Conference

LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos

Steffen Wolf Manuel Haußmann Elke Kirschbaum

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Article

Deep neural networks in psychiatry

Daniel Durstewitz and Georgia Koppe and Andreas Meyer-Lindenberg. Molecular Psychiatry

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Article

Recurrent Neural Networks in Mobile Sampling and Intervention

Georgia Koppe and Sinan Guloksuz and Ulrich Reininghaus and Daniel Durstewitz. Schizophrenia Bulletin

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Article

Detecting Multiple Change Points Using Adaptive Regression Splines With Application to Neural Recordings

Hazem Toutounji and Daniel Durstewitz. Frontiers in Neuroinformatics

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Article

Psychiatric Illnesses as Disorders of Network Dynamics

Daniel Durstewitz and Quentin J M Huys and Georgia Koppe

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Article

Amygdala Corticofugal Input Shapes Mitral Cell Responses in the Accessory Olfactory Bulb

Tuyen Tran Eleonora Russo Livio Oboti and Joshua G. Corbin. eNeuro

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Article

Identifying nonlinear dynamical systems via generative recurrent neural networks with applications to fMRI

Georgia Koppe and Hazem Toutounji and Peter Kirsch and Stefanie Lis and Daniel Durstewitz. arxiv

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Book

Advanced Data Analysis in Neuroscience

Daniel Durstewitz

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Article

CACNA1C gene regulates behavioral strategies in operant rule learning

Georgia Koppe and Anne Stephanie Mallien and Stefan Berger and Dusan Bartsch and Peter Gass and Barbara Vollmayr and Daniel Durstewitz. PLOS Biology

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Article

Cell assemblies at multiple time scales with arbitrary lag constellations

Daniel Durstewitz Eleonora Russo. eLife

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Article

Sparse convolutional coding for neuronal assembly detection

Sven Peter and Elke Kirschbaum and Martin Both and Lee Campbell and Brandon Harvey and Conor Heins and Daniel Durstewitz and Ferran Diego and Fred A Hamprecht. Advances in Neural Information Processing Systems

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Book

A State Space Approach for Piecewise‐Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements

Daniel Durstewitz. PLoS Computational Biology

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Book

A State Space Approach for Piecewise‐Linear Recurrent Neural Networks for Reconstructing Nonlinear Dynamics from Neural Measurements

Daniel Durstewitz. PLoS Computational Biology

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Article

A Quantitative Analysis of Context-Dependent Remapping of Medial Frontal Cortex Neurons and Ensembles

Liya Ma and James M. Hyman and Daniel Durstewitz and Anthony G. Phillips and Jeremy K. Seamans. J Neurosci. 2016 Aug 3; 36(31)

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Article

Time at the center, or time at the side? Assessing current models of time perception.

Joachim Hass and Daniel Durstewitz. Current Opinion in Behavioral Sciences

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Article

A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity

Joachim Hass and Loreen Hertäg and Daniel Durstewitz. PLoS Computational Biology

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Article

Computational models as statistical tools

Daniel Durstewitz and Georgia Koppe and Hazem Toutounji. Current Opinion in Behavioral Sciences

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Article

A statistical approach for segregating cognitive task stages from multivariate fMRI BOLD time series

Charmaine Demanuele and Florian Bähner and Michael Plichta and Peter Kirsch and Heike Tost and Andreas Meyer-Lindenberg and Daniel Durstewitz. Frontiers in Human Neuroscience

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Article

Area-Specific Information Processing in Prefrontal Cortex during a Probabilistic Inference Task: A Multivariate fMRI BOLD Time Series Analysis

Charmaine Demanuele and Peter Kirsch and Christine Esslinger and Mathias Zink and Andreas Meyer-Lindenberg and Daniel Durstewitz. PLOS ONE

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Article

Hippocampal-dorsolateral prefrontal coupling as a species-conserved cognitive mechanism: a human translational imaging study

Janina Schweiger Charmaine Demanuele Florian Bähner. Neuropsychopharmacology

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Article

Amphetamine Exerts Dose-Dependent Changes in Prefrontal Cortex Attractor Dynamics during Working Memory

Christopher C Lapish and Emili Balaguer-ballester and Jeremy K Seamans and Anthony G Phillips and Daniel Durstewitz

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Unpublished

Decoding the sequential contributions of hippocampal-prefrontal neuronal assemblies to spatial working memory

Michal T Kucewicz and Michal T Kucewicz and Daniel Durstewitz and Mark D Tricklebank and Matt Jones and Mark Laubach and Shigeyoshi Fujisawa and Cyriel Pennartz and Matthew Shapiro and Robert Hampson and Samuel Deadwyler

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Neurocomputational models of time perception

Daniel Durstewitz Joachim Hass. Adv Exp Med Biol

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Article

Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise

Daniel Durstewitz Loreen Hertäg and Nicolas Brunel. Frontiers Computational Neuroscience

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Article

A systems medicine research approach for studying alcohol addiction

Anita Hansson Daniel Durstewitz Rainer Spanagel. Addiction Biology

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Article

Method for stationarity-segmentation of spike train data with application to the Pearson cross-correlation

Joachim Hass Claudio S. Quiroga-Lombard and Daniel Durstewitz. Journal of Neurophysiology

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Article

Where Have I Been? Where Should I Go? Spatial Working Memory on a Radial Arm Maze in a Rat Model of Depression

Katja Lankisch Benjamin Zeuch Sophie Helene Richter. PLOS ONE

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Article

Contextual encoding by ensembles of medial prefrontal cortex neurons

Emili Balaguer-Ballester Liya Ma James M Hyman. Proceedings of the National Academy of Sciences

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Article

An Approximation to the Adaptive Exponential Integrate-and-Fire Neuron Model Allows Fast and Predictive Fitting to Physiological Data

Loreen Hertäg and Joachim Hass and Tatiana Golovko and Daniel Durstewitz. Frontiers in Computational Neuroscience

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Article

Models of dopaminergic modulation

Daniel Durstewitz Joachim Hass. Scholarpedia

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Attracting dynamics of frontal cortex ensembles during memory-guided decision-making

Emili Balaguer-Ballester and Christopher C Lapish and Jeremy K Seamans and Daniel Durstewitz. PLoS Computational Biology

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Abrupt transitions between prefrontal neural ensemble states accompany behavioral transitions during rule learning

Daniel Durstewitz and Nicole M Vittoz and Stan B Floresco and Jeremy K Seamans. Neuron

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Article

Implications of synaptic biophysics for recurrent network dynamics and active memory

Daniel Durstewitz. Neural Networks

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Article

Comparing the prefrontal cortex of rats and primates: Insights from electrophysiology

Lapish J.K. Seamans. Neurotoxicity Research

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Article

Successful choice behavior is associated with distinct and coherent network states in anterior cingulate cortex

L. Judson Chandler Daniel Durstewitz Christopher C. Lapish and Jeremy K. Seamans. Proceedings of the National Academy of Sciences

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Article

The dual-state theory of prefrontal cortex dopamine function with relevance to COMT genotypes and schizophrenia

Jeremy K Seamans Daniel Durstewitz. Biol Psychiatry

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Article

Computational significance of transient dynamics in cortical networks

D. Durstewitz and G. Deco. European Journal of Neuroscience

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Dynamical basis of irregular spiking in NMDA-driven prefrontal cortex neurons

& Gabriel D. Durstewitz. Cerebral Cortex 17

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The ability of the mesocortical dopamine system to operate in distinct temporal modes

Daniel Durstewitz Sven Kroener Christopher C. Lapish and Jeremy K. Seamans. Psychopharmacology

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Article

Beyond bistability: Biophysics and temporal dynamics of working memory

Jeremy K Seamans Daniel Durstewitz. Neuroscience

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Article

Neural representation of interval time

D. Durstewitz. Neuroreport

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Self-organizing neural integrator predicts interval times through climbing activity

D. Durstewitz. Journal of Neuroscience

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Self-Organizing Neural Integrator Predicts Interval Times

Daniel Durstewitz. Journal of Neuroscience

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The computational role of dopamine D1 receptors in working memory

D. Durstewitz and J. K. Seamans. Neural Networks

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) Bidirectional dopamine modulation of GABAergic inhibition in prefrontal cortical pyramidal neurons

D. Durstewitz N. Gorelova J. K. Seamans

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Article

Dopamine D1/D5 receptor modulation of excitatory synaptic inputs to layer V prefrontal cortex neurons

Brian R. Christie Daniel Durstewitz Jeremy K. Seamans and Terrence J. Sejnowski. Proceedings of the National Academy of Sciences

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Article

Dopamine-Mediated Stabilization of Delay-Period Activity in a Network Model of Prefrontal Cortex

Jeremy K. Seamans Daniel Durstewitz and Terrence J. Sejnowski. Journal of Neurophysiology

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Article

Neurocomputational models of working memory.

D Durstewitz and J K Seamans and T J Sejnowski. Nature neuroscience

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Article

The dopaminergic innervation of the avian telencephalon

O Güntürkün S Kröner D Durstewitz. Prog Neurobiol.

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Article

A neurocomputational theory of the dopaminergic modulation of working memory functions

Marian Kelc Daniel Durstewitz and Onur Güntürkün. Journal of Neuroscience

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Article

State-dependence of dopamine D1 receptor modulation in prefrontal cortex neurons

Durstewitz J.K. Seamans. Proceedings of the 6th Joint Symposium on Neural Computation

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The dopaminergic innervation of the pigeon telencephalon: distribution of DARPP-32 and co-occurrence with glutamate decarboxylase and tyrosine hydroxylase

H C Hemmings Jr S Kröner D Durstewitz. Neuroscience

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Article

Data-Driven Hierarchical Digital Twins of Social Interactions

Brenner, Manuel and Guennouni, Ismail and Durstewitz, Daniel and NL, Stephanie and Schmidt, Stefanie Lis and Kirsch, Peter and Koppe, Georgia

Article

Computational Approaches

Deanna M Barch John P O'Doherty Zeb Kurth-Nelson}, url = {https://books.google.de/books?hl=en&lr=&id=746JEAAAQBAJ&oi=fnd&pg=PA77&dq=info:okpKmHWClm8J:scholar.google.com&ots=oqTdTTaF-h&sig=dPeS3sfDXW64H2ytq_NFvQbYWXI&redir_esc=y#v=onepage&q&f=false}, year = {2022}, date = {2022-01-01}, journal = {Computational Psychiatry: New Perspectives on Mental Illness}, abstract = {Vast spectra of biological and psychological processes are potentially involved in the mechanisms of psychiatric illness. Computational neuroscience brings a diverse toolkit to bear on understanding these processes. This chapter begins by organizing the many ways in which computational neuroscience may provide insight to the mechanisms of psychiatric illness. It then contextualizes the quest for deep mechanistic understanding through the perspective that even partial or nonmechanistic understanding can be applied productively. Finally, it questions the standards by which these approaches should be evaluated. If computational psychiatry hopes to go beyond traditional psychiatry, it cannot be judged solely on the basis of how closely it reproduces the diagnoses and prognoses of traditional psychiatry, but must also be judged against more fundamental measures such as patient outcomes.}, keywords = {}, pubstate = {published}, tppubtype = {article