The Journal of Neuroscience just accepted our manuscript in which we show data on adaptation to stimulus statistics in aging. We show that adaptation to sound-level statistics is altered in auditory cortex of older people.
I have just heard the good news. I am awarded with one of the prestigious BrainsCAN (Tier I) postdoc postions that will allow me to work with B. Allman, I. Johnsrude, E. Bartlett, and S. Schmid at Western and Purdue on the neurophysiology of hearing in humans and rats. This will be exciting 3 years.
We are currently looking for a motivated postdoc to come to Western's Brain and Mind Institute to work in Ingrid's lab on the cognitive neuroscience of hearing. You would use psychophysics, EEG, and/or fMRI in young and older listeners to study how sound is processed by the brain. Check out the job ad.
Variability in neural (or other physiological) signals is not necessarily noise. Detrended fluctuation analysis (DFA) approaches analysis of variablity by quantifing the scaling behavior (or long-term correlation) in time series. In a new tutorial, I describe how DFA is calculated.
I am going to Auditory Cortex conference in beautiful Banff, Canada. I will give a talk on Monday (11th) afternoon on age-related changes in neural adaptation to stimulus statistics. I will also present a poster on this topic right after (download). Please find me at the conference if you are interested.
I am looking foward to the symposium on cool EEG stuff, with great speakers and workshops. I hope to learn lots about information theory and biophysical modeling. I also will have a poster on Wednesday (21st), so, if you are in Glasgow, stop by.
Variability in neural (or other physiological) signals is not necessarily noise, but may provide important information about complexity and function in the brain. One way to assess complexity in physiological signals is multi-scale entropy (MSE). In a new tutorial, I describe how MSE is calculated.
Paper accepted: "Aging affects the balance of neural entrainment and top-down neural modulation in the listening brain" first-authored by Molly Henry. We show the relation between neural entrainment of low-frequency oscillations and top-down alpha power during listening.
I am very happy to have received Western's Postdoctoral Scholar of the Year Award 2017 for my work at the Brain & Mind Institute and Western.
Emma Holmes and I just received the news that our short comment (Journal Club) article "Revisiting the contribution of auditory cortex to frequency-following responses" has been accepted in The Journal of Neuroscience.
In the paper "Attentional State Modulates the Effect of an Irrelevant Stimulus Dimension on Perception" we show that when listening situations are not optimal, reliance on learned correlations between acoustic features increases. It will soon appear in JEP HPP.
I am going to ARO in Baltimore tomorrow. Come see my talk on the 12th during the symposium on "Patterns in sound sequences" (8-10 am). A few hours after my talk, I have to head out already, leaving for Germany and the Max Planck Society.
In this paper (Henry, Herrmann, & Grahn), we provide simulations and behavioral data that caution about a recently used method to study neural signals related beat perception. The paper will soon appear in PLoS ONE.
Dan Stolzberg and I recieved one of the Brain & Mind Institute (Western University) postdoctoral collaborative research grants. In an across-species approach, we will study the influence of a correlated, but task-irrelevant sound feature on perception of another sound feature.
I present data showing that an individual's attentional state modulates the influence of an irrelevant stimulus dimension on perception of another stimulus dimension. You can have a look at my poster here.
The European Journal of Neuroscience has accepted our latest work. Together with Ed Bartlett (Purdue University) and Aravind Parthasarathy (now at Harvard Medical School) we investigated the effects of aging on neural synchronization in the inferior colliculus in rats (full text).
Since I had trouble understanding these models for forever (and still have for some aspects of it), I thought a simple tutorial explaining step-by-step the main stages involved as well as providing matlab code might help somebody who is new to the topic (link).
In the paper, we show that aging goes hand in hand with an increased auditory cortex response magnitude, reduced response variability, a larger dynamic response range, and reduced sensitivity to temporal context (full text).
In "The spatiotemporal dynamics of auditory attention synchronize with speech" we show that the spatio-temporal modulations of alpha power are predictive of speech recognition in a multi-stream situation (full text).
The study shows how complex neural phase patterns across frequency bands are associated with changes in behavioral performance in non-rhythmic acoustic contexts (full text).
Björn Herrmann (PhD)
The University of Western Ontario
Brain and Mind Institute
Department of Psychology
London, Ontario N6A 5B7, Canada
My research focuses on hearing, aging, and the brain, to answer the following questions:
In order to answer these and other questions, we make use of state-of-the-art electro- /magnetoencephalography & psychophysical methodology with cutting-edge analysis approaches.
Students and scientists might find some of the resources useful. They include how to plot pretty in matlab and links to useful things about data analysis and statistics.
For some methodological approaches, I provide a tutorial aiming to give an easy introduction into a topic. Topics include: Baseline correction in EEG/MEG, Linear-nonlinear modeling, and decoding based on neural phase.
I am currently a postdoc in the lab of Dr. Ingrid S. Johnsrude at the University of Western Ontario (Canada). We are often looking for interested and motivated undergraduate volunteers who are excited to gain experience in research and science. Please check out the lab webpage for further information.