Anatomy sets things up, but it’s not the whole story. A low-D communication subspace from PFC to motor cortex reconfigures with context, routing signals so the same movements can be driven by different rules without rewiring the network. nature.com/articles/s41593-0… #neuroscience

𝗪𝗵𝗮𝘁 𝗶𝘀 𝗻𝗼𝗶𝘀𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻? Almost always we average responses thus equating response variability with noise. Well, we shouldn't because variability is also signal, not noise to be entirely discarded. doi.org/10.1016/j.neuron.202…

Our new paper is out in @NatureNeuro How do large-scale brain networks route information about where/what to attend at fast timescales? High-frequency bursts facilitate fast communication for human spatial attention nature.com/articles/s41593-0… Using intracranial EEG recordings and spiking neural network modeling we demonstrate that transient bursts of high-frequency activity (HFAbs) in the human brain facilitate attentional performance and support fast, large-scale information routing. We show: - HFAbs are synchronized brain-wide. - HFAbs are strongly coupled to slower brain rhythms but transiently decouple during active processing, such as cue and target periods. - Network-level synchronization patterns of HFAbs reveal functional subnetworks for cue and target processing. - HFAbs in cue subnetworks predict behavioral accuracy following cue onset, and precede target subnetworks following target onset when cues are informative for target detection. - Using spiking neural network models, we show that HFAbs reflect state transitions in population activity, and a four-network model demonstrates attention-mediated fast HFAb communications enhances probability of target detection. We demonstrate that transient bursts of high-frequency activity (HFAbs) in the human brain facilitate attentional performance and support fast, large-scale information routing. Using intracranial EEG recordings and spiking neural network modeling we show: We demonstrate that transient bursts of high-frequency activity (HFAbs) in the human brain facilitate attentional performance and support fast, large-scale information routing. Using intracranial EEG recordings and spiking neural network modeling we show:

New work from the lab now published in @NeuroCellPress

#eNeuro: Kopf and colleagues directly tested whether MEG background activity reflects hyperexcitability in a patient cohort suffering from generalized epilepsy. Their results demonstrate that background activity does not constitute random noise, but reflects excitability dynamics, which define the current brain state. @HelfrichLab @TueNeuroCampus @HIHTuebingen eneuro.org/lookup/DOI/10.152…

Turns out: It depends… The PSD exhibits multiple intrinsic timescales (‘knees’) that shape the 1/f decay function. Some of them are state-invariant, while others were state-specific. Moreover, 1/f behaviors differ between different brain regions, such as the MTL and PFC. (3/7)

We and others (e.g., @smpzzz) had previously observed that the spectral slope tracks the hypnogram, but results across studies varied with different fitting ranges (1-20 vs 30-50 Hz). We wondered where should we fit the spectral slope to define distinct sleep stages? (2/7)

A tradeoff between efficiency and robustness in the hippocampal-neocortical memory network during human and rodent sleep doi.org/10.1016/j.pneurobio.… #neuroscience

Check by a 5yr journey of the lab in mice & humans, just up on bioRxiv! Post-ictal symptoms can be life-threatening, & basic mechanisms are mostly unclear. 1/2 biorxiv.org/content/10.1101/…