Author Archives: pkanold

New paper: HiJee and Travis publish first in vivo holographic stimulation work probing network activity balance in A1

This was a long lift to get everything right. Hijee and Travis perfected in vivo holographic neuronal stimulation to stimulate small groups of individual auditory cortex neurons in vivo and test how this affects sound evoked responses. They shows that auditory cortex neurons with shared functional properties rapidly adjust their responses during sensory processing, revealing a circuit-level mechanism that regulates overall network activity balance. Read the paper here in eLife.

New paper decipers the spatial pattern of functional correlations in A1 and dicovers precise harmonically related structures

We showed a long time ago that the frequency organization of the auditory cortex on the single cell level is pretty messy. But does it mean that all functional connections are random or unorganized? Peter did careful 2-photon imaging and in collaboration with Sahar and Anuthhara from the Babadi lab shows that even though the frequency preference of neighboring neurons in A1 is functionally diverse, the functional connection patterns are functionally precise and harmonically related. Read more here: www.pnas.org/doi/10.1073/…

New paper: Auditory cortical circuits change with aging

Age-related hearing loss (presbycusis) is common in humans and can be caused by a dysfunction of the peripheral and central auditory system. Jenny and Binghan here compare auditory cortex circuits in vitro in adult and aged CBA mice, which retain an intact peripheral auditory system into old age. They find a sex-specific reduction in excitatory and inhibitory intralaminar cortical circuits in the aged mice that might underlie the differential functional manifestations of age-related hearing loss in both males and females. Read details here in eNeuro.

New paper: HiJee shows that there is a role for auditory cortex in early auditory memory

Listening in complex sound environments requires rapid segregation of different sound sources, e.g., having a conversation with multiple speakers or other environmental sounds. Efficient processing requires fast (implicit) learning of inputs to adapt to target sounds and identify relevant information from past experiences. using naturalistic complex stimuli HiJee shows that subgroups of excitatory and inhibitory cells in auditory cortex (Actx) showed decreased responses, even in the input layers of ACtx, for re-occurring Target sounds, indicating that ACtx is involved in the early implicit learning phase for auditory memory. Read more here in Progress in Neurobiology.

New collaborative paper looking at effects of visual loss on the compositional profile of cortex

What happens to the molecular areal makeup of the whole cortex when you lose sensory inputs?  Great collaboration with Xiaoyin Chen (Allen Institute), Jesse Gillis (Toronto), Stephan Fisher (Inst. Pasteur) and Tony Zador (CSHL) using modern tools addresses this old question in unprecedented detail.  Using a high-throughput in situ sequencing technique (BARseq) over the whole cortex we show that binocular enucleation caused a shift of the cell-type compositional profiles of visual areas towards neighbouring cortical areas within the same module, suggesting that peripheral inputs sharpen the distinct transcriptomic identities of areas within cortical modules.  Read the paper in Nature. AIB news release

New paper shows that subplate neurons vary between sensory cortices

Subplate neurons are very important for development, but seem to for a heterogenous cell population. Here Minzi shows that the sub-populations of subplate neurons vary between primary sensory areas pointing to a specialization of subplate and suggesting that different populations of subplate neurons might contribute differently to the development of individual sensory circuits.

Read it here in J Comparative Neurology

New paper on order and disorder in A1

On large scales, in A1 there are tonotopic maps, but on small scales, neighboring cells can be tuned very differently. Zac & Kelson looked at this order and disorder in the functional representations in A1. To reconcile this, they imaged 3D volumes and found that there is a fractured columnar small-world functional network organization. Read the paper in PNAS Nexus