If you’re interested in multisensory integration 🦻👀, face/vocalization perception in monkeys🐒, or cortical microcircuits, take a look:. Our new paper on the laminar pattern of visual, and audiovisual, responses across the cortical hierarchy is out now.

RT @pgmid: I'm not sure what a representation is anymore. or maybe I never knew. These fine folks have some thoughts. .

RT @CoryMillerMarmo: Here is my OpEd about the impacts of restructuring the NIH

RT @pfapostolides: (Plz repost). I’ve been receiving some good news lately and will be hiring at all levels to expand the lab. Please get i….

RT @Macacophile: The new NIH director says “Second, NIH-supported science should be replicable, reproducible, and generalizable.”. NHP are….

RT @neuralreckoning: I wrote a thing for @_TheTransmitter. The attack on scientific infrastructure happening in the US shows that relying o….

Are you a lumper or a splitter? . Our assessment of a recent Nature Neuroscience paper by Mendoza-Halliday, Major, Desimone, Miller, Bastos et al. is up on BioRxiv.

RT @Chase_Mackey: Our new paper, led by Yoshi Kajikawa, on dynamic high frequency oscillations in auditory cortex is out now in Cerebral Co….

All of which suggests a good deal of complexity underlying “broadband” high frequency activity. Twitterless Yoshi Kajikawa did a great job carrying the team on this one! .

To address this, we analyzed spectrotemporal laminar profiles of gamma activity in auditory cortex. We found high frequency oscillations not phase locked to stimuli, with dynamic frequency content that shifted rapidly from ~150 to 60 Hz.

High gamma activity is often considered broadband, and is analyzed in terms of power, without much consideration for the polarity of the underlying signal. To address this, we analyzed spectrotemporal gamma activity.

Our new paper, led by Yoshi Kajikawa, on dynamic high frequency oscillations in auditory cortex is out now in Cerebral Cortex! Thread below.

That integrate information over time. We (@adriana_et_al and I) modeled this using a drift diffusion model that captured individual NHPs’ accuracy and reaction times remarkably well. Enjoy: (End).

We then turned to the question of how we integrate AM over time to make temporal discriminations. By altering signal duration, we found that NHP perception was more robust at short durations than CN and IC responses, and that performance may be best explained by brain structures.

What we find is single units in the IC, and small populations in the CN, were sufficient to discriminate AM as well as NHPs, regardless of whether a rate or spike timing code was used.

We viewed this as an opportunity to capitalize on the translational value of our NHP model, which enabled us to evaluate the degree to which the AM encoding literature in small animals matches the NHP model, and accounts for primate (human OR nonhuman) auditory perception.

We used a nonhuman primate model to better understand how single neuron activity in the cochlear nucleus and inferior colliculus contribute to sound envelope discrimination. Single unit subcortical data from awake NHPs are scarce, particularly in the CN.

At long last, our (@RamRamLab) paper on the subcortical encoding of sound envelope is out! 🔊🐒. Thread below. Ahead of print paper at J Neurophysiol: . Preprint:

RT @JP__NOEL: Add for post-doc position in my lab at @UMNeurosci. Please apply or forward to anyone you think maybe interested!!. https://t….

RT @GauteEinevoll: Episode #14 in #TheoreticalNeurosciencePodcast: On the molecular memory code – with Sam Gershman.@gershbrain . https:/….