Kia Banaie Boroujeni

Rhythmic sampling of multiple decision alternatives in the human brain - Nature Communications How humans process competing information when making multi-alternative decisions remains unclear. Here, the authors show that the brain resolves the trade-off between “evaluating within” and “comparin...

New paper alert 📣 #Neuroskyence

"Rhythmic sampling of multiple decision alternatives in the human brain" @natcomms.nature.com

together with @ycaoneuro.bsky.social @maryamtohidi.bsky.social @donnerlab.bsky.social @ktsetsos.bsky.social

www.nature.com/articles/s41...
🧵1/

New review paper!
We extensively inquire inhibitory interneurons in NHP PFC, compared it to rodent literature, by integrating decades of research on their cellular diversity, circuit roles, and functions in attention, memory mainentance and adaptive behavior.

authors.elsevier.com/a/1mOl314SFm...

Aperiodic Activity Reflects Pathologic Waveform Shapes in Focal Epilepsy Epilepsy constitutes a clinically manifest excitability disorder that is characterized by aberrant electrophysiological activity in the electroencephalogram (EEG). The correct identification of the se...

Aperiodic activity reflects pathological waveforms in epilepsy (and not necessarily hyper-excitability or altered E/I-balance). The 1/f slope goes up *or* down as function of waveforms during seizures. New work by Laura Heidiri and Frank van Schalkwijk from the lab: www.jneurosci.org/content/45/5...

Thanks to co-authors @randolph-helfrich.bsky.social l
@fiebelkornian.bsky.social rnian.bsky.social
Peter Brunner
Nicole Bentley
Jack Lin
Bob knight

- 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.

- HFAbs in cue subnetworks predict behavioral accuracy following cue onset, and precede target subnetworks following target onset when cues are informative for target detection.

- 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.

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:

High-frequency bursts facilitate fast communication for human spatial attention - Nature Neuroscience Using intracranial electroencephalography from patients with epilepsy during spatial attention tasks, this study shows that high-frequency bursts facilitate fast communications in brain networks and s...

Our new paper is out in @natneuro.nature.com

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

www.nature.com/articles/s41...

Thanks to co-authors @randolph-helfrich.bsky.social
Ian Fiebelkorn
Peter Brunner
Nicole Bentley
Jack Lin
Bob knight

- 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.

- HFAbs in cue subnetworks predict behavioral accuracy following cue onset, and precede target subnetworks following target onset when cues are informative for target detection.

- 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.

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.

Thanks Marcus!

Inter-areal coupling for cognition through coincident oscillatory transients How do large-scale brain networks interact to enable cognition? Correlated oscillations, a mechanism for inter-areal interactions, can be expressed as phase coherence or amplitude co-fluctuations. Whi...

New Preprint alert 🚨
“Inter-areal coupling for cognition through coincident oscillatory transients” together with
@ycaoneuro.bsky.social
@ktsetsos.bsky.social
@donnerlab.bsky.social &
Andreas Engel
#MEG #neuroscience #bioRxiv

www.biorxiv.org/content/10.1...

Really delighted to share our new article in Current Biology showing that the cingulate-to-dorsolateral prefrontal pathway is not involved in trial-to-trial short-term adaptation but rather in sustained motivational control.
doi.org/10.1016/j.cu...

A sad day for Neuroscience in the Netherlands.

Our newest preprint! Work led by Ben Dykstra (co-mentored by @gordonberman.bsky.social). Some of the first recordings from the iCA3 region during social behaviors. Ben found that iCA3 neurons more strongly represent social recognition information relative to iCA1 . www.biorxiv.org/cgi/content/...

Longitudinal measures of monkey brain structure and activity through adolescence predict cognitive maturation - Nature Neuroscience Working memory improves during adolescent brain development. Zhu et al. tracked monkeys through adolescence, revealing that maturation of white matter tracts and refinement of neural firing patterns s...

New paper from the lab:
www.nature.com/articles/s41...

A brief thread (1/10)

Flexible perceptual encoding by discrete gamma events - Nature Using a new analytical method for tracking gamma band events in mouse visual cortex, flexible encoding of visual information according to behavioural context is shown.

(1/8) My latest study is out in @nature.com ! Kudos to coauthors especially @jess-cardin.bsky.social and to @kavliatyale.bsky.social and @wutsaiyale.bsky.social for support. We find that gamma power in mouse visual cortex is caused by brief events of visual processing www.nature.com/articles/s41...

Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation - Nature Biomedical Engineering A 1,024-channel microelectrode array is delivered to the brain cortex via a minimally invasive incision in the skull and dura, and allows recording, stimulation and neural decoding across large portions of the brain in porcine models and human neurosurgical patients.

Precision Neuroscience published their high-density ECoG in Nature Biomed. Eng.

The startup shows a 1,024-channel grid implanted through a cortical slit in pigs, and intraoperative neural recordings and stimulation in five humans at sub-mm resolution.

#neuroskyence @precisionneuro.bsky.social

Transcriptomic diversity of amygdalar subdivisions across humans and nonhuman primates Specialized cell types and links to psychiatric disorders are revealed by genetic mapping of primate amygdala neurons.

A spatially resolved transcriptomic atlas of the primate amygdala (human, macaque, and baboon) now out in Science Advances (www.science.org/doi/10.1126/...). The amygdala contains 32 types of neurons with many neuron types specific to particular subdivisions.

Lots of updates from the preprint!

Hearing this argument always reminds me of earthquakes! You can decode them miles away from the site, but detectability doesn’t make the epicenter anything other than the epicenter.

Congrats!

The latter only tracks neurons that were present in the first session and labels them consistent with their original labels in the first session.

Thanks, yes, for long recording sessions and data across multiple sessions, chronic recordings were tested. For multiple sessions there are two options: either concatenate data across sessions and then perform the sorting, or train the it on one session and perform the sorting on another session👇

Check out the website for a detailed guide and overview:

kiasort.com

GitHub - banaiek/KIASORT: KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking - banaiek/KIASORT

🎥 GUI walkthrough & tutorial video here:
www.dropbox.com/scl/fi/ump3p... 

🔗 Code & docs: github.com/banaiek/KIAS...
Questions, feedback welcome! 🧠🔬

#OpenSource #BrainMachineInterface

KIASORT: Knowledge-Integrated Automated Spike Sorting for Geometry-Free Neuron Tracking Identifying single units from extracellularly recorded neural signals is critical for understanding brain circuit dynamics. With the advancements of large-scale recordings, efficient and precise autom...

🚀 Just posted KIASORT preprint on bioRxiv! Geometry-free, per-neuron drift correction finally, sorting and tracking thousands of cells without assuming uniform movement and rigid probe-geometry limits.

🔗 www.biorxiv.org/cgi/content/...

#SpikeSorting #NeuroTech #Neuroscience

Code and tutorial 👇👇👇