Tim Guth @TimAGuth
Postdoctoral researcher at the University of Bonn in Germany. Research focus: neural basis of navigation and memory in humans. Joined November 2020-
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Tim Guth retweeted
Happy to share our new findings on human memory, ripples, and single neurons! nature.com/articles/s4159… With @neurojosh, @BStaresina, @TimAGuth, and others!
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Our new paper on the single-neuron correlates of a highly pathologic subtype of epileptic spikes is out @Brain1878 doi.org/10.1093/brain/…
Tim Guth retweeted
Recent studies have suggested that high-frequency oscillations distinguish epileptogenic spikes from spikes that are less pathological or possibly even protective. Guth et al. show that these two types of spikes have different single-neuron correlates. bit.ly/37vta39
Tim Guth retweeted
Neurowissenschaftler*innen der @Uniklinik_Fr entdecken einen neuen Zelltyp im #Gehirn und finden Hinweise, wie er an #Orientierung und #Gedächtnis beteiligt ist. @NeuroCellPress @Columbia tiny.cc/ukf_egozentrie…
Tim Guth retweeted
Our new paper on the single-neuron basis of egocentric spatial maps in the human 🧠 is now out @NeuroCellPress! cell.com/neuron/fulltex… 🧵below 1/
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942 Followers 829 Following Asst. Prof. at the University of Bonn in Germany. Research focus: neural basis of navigation and memory in humans. Mastodon: @[email protected]Happy to share our new findings on human memory, ripples, and single neurons! nature.com/articles/s4159… With @neurojosh, @BStaresina, @TimAGuth, and others!
Congrats to our former grad student @TimAGuth for receiving the prestigious Dieter Janz prize today for his publication in @Brain1878 ! We all know this is just the start of a brilliant career in #neuroscience . #neurotwitter #epilepsy #EEGtalk #HFOnews
Suggested solution: in order to identify & specifically measure what is changing in the data we should parameterize the power spectrum. In doing so, we can specifically measure both neural oscillations, and aperiodic (1/f) components. We propose an algorithm to do so. (Figure 2)
Problem statement: in neural field data (EEG/MEG/ECoG/LFP) the data can change in lots of different ways - but many common methods, such as measuring power in predefined frequency ranges, can conflate different changes, leading to misinterpretations of the data. (Figure 1)
The published 'parameterizing neural power spectra' (FOOOF) paper is now out! We propose a method for measuring neural oscillations & aperiodic (1/f) activity, addressing prior issues. There are *lots* of extras beyond the preprint, so quick thread: nature.com/articles/s4159…
Recent studies have suggested that high-frequency oscillations distinguish epileptogenic spikes from spikes that are less pathological or possibly even protective. Guth et al. show that these two types of spikes have different single-neuron correlates. bit.ly/37vta39
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