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Improved red and green indicators for norepinephrine and their characterization are reported. These indicators allow detection of norepinephrine release in awake behaving mice in dual-color fiber phot...

Dorsal and ventral noradrenergic neurons in the locus coeruleus form topographic subpopulations whose projection patterns and activity encode choice switching, reward-prediction errors and disregard o...

This is a teaching-oriented post about the fundamental concepts underlying electroencephalography (EEG), and to some extent magnetoencephalography (MEG). I explore how electromagnetic fields are gener...

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Abstract. Predictive coding frameworks suggest neural computations rely on hierarchical error minimization, yet the neural implementation of this inference remains unclear. We propose that cross-frequ...

Brain activity is complex but not arbitrary, and some patterns dominate others, with dimensionality describing how many such patterns exist. The authors show how brain connectivity controls dimensiona...

In cell biology, computational models of biological systems range from minimal representations with a handful of parameters to whole-cell simulations tracking thousands of molecular species across a c...

Rohner et al. develop Alpha1DLight, an α1D-adrenergic receptor-derived fluorescent indicator that enables subtype-resolved norepinephrine imaging. The sensor shows high affinity, reversible responses,...

Learning transforms prefrontal cortex activity from flexible, high-dimensional representations into compact, task-relevant and abstract codes, enabling efficient generalization of learned rules to new...

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We’ve documented more than 100 instances of apparent data manipulation in Thermo’s catalog

By combining magnetoencephalography and eye tracking, this study sheds light on why people fixate on some parts of natural scenes longer than others. Rather than visual complexity, fixation durations ...