Daniel Durstewitz

A piece-wise linear recurrent neural network identifies generalizable dynamics from neural activity during decision-making in rodents

This study uses a piecewise linear recurrent neural network to identify generalizable latent dynamics in neural activity during decision-making in rodents, showing faster rotational dynamics for impulsive choices.

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

The paper establishes a normative reference for large-scale human brain dynamics using resting-state fMRI data from over 10,000 individuals, revealing systematic reorganization across development and ageing and disorder-specific deviations in mental health conditions.

Species-conserved mechanisms of abstract rule learning promote cognitive flexibility in complex environments

This study identifies a species-conserved mechanism of hypothesis testing in rats and humans during rule learning, which enhances cognitive flexibility in complex environments.

Integration of rate and phase codes by hippocampal cell-assemblies supports flexible encoding of spatiotemporal context

The paper shows that hippocampal cell assemblies integrate rate and phase coding to disambiguate spatial and cognitive contexts during decision-making in complex environments.

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

Similarities in neural population structures across the sensorimotor cortex enable generalization across animals in the decoding of unconstrained behavior.

Reconstructing Computational Dynamics from Neural Measurements with Recurrent Neural Networks

This paper reviews the use of recurrent neural networks for dynamical systems reconstruction in neuroscience, discussing methods, validation, and applications.

Prefrontal cortical contributions to working memory loading, maintenance and recall are parsed by hippocampal-prefrontal oscillatory assembly dynamics

The paper investigates how prefrontal cortex and hippocampus interact during working memory tasks in rats, showing that mPFC leads in maintaining sample information and that rhythmic assembly dynamics are critical for task performance.

Coordinated prefrontal state transition leads extinction of reward-seeking behaviors

The paper shows that extinction learning involves coordinated population-wide neural transitions in the mPFC, not suppressed responses to conditioned stimuli.

Phasic dopamine enhances the distinct decoding and perceived salience of stimuli

The paper shows that phasic dopamine enhances the distinct encoding and perceived salience of stimuli in mice by inducing plasticity in neural populations.

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

The paper shows working memory involves brain-wide state switching, with dopamine D1/D2 receptor expression affecting stability and state transitions, and schizophrenia linked to altered network control properties.