HongLab
@HongNeuroTech
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Grand opening of our lab at Stanford Materials Science and Engineering Department and Stanford Neurosciences Institute!😎
Stanford, CA
Joined September 2018
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I am excited to share a work published today in JACS (), which describes a new formulation of ultrasound-mediated intravascular light source based on organic molecules, in collaboration with and led by the Wang group at UT Austin
@whl0903
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Look forward to seeing everyone and presenting our research at the Rice NeuroEngineering Conference!
@RiceNeuro
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Excited to share two recent papers on systemically delivered, intravascular light sources, which are enabled by the biomineralization process in materials science, for optogenetics and brain fluorescence imaging:
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Congratulations to Xiang for winning the prestigious Stanford Graduate Fellowship and the 2020 Centennial TA Award!
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So grateful to be part of Wu Tsai and the Stanford Neuro community!
The goal of Guosong Hong's award-winning essay was "to convey to the general public how engineering can help biologists and medical researchers come up with new tools for understanding and treating life-threatening and severely debilitating diseases."
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Our work on sono-optogenetics is highlighted by the Journal Matter!
Want to know what our editors are reading?
Starting a new
#Matter
initiative with
#PEERHighlights
PEER =
#PapersEditorsEnjoyedReading
First up, a recent work from Hong et al.
@Stanford
@StanfordEng
in
@PNASNews
enjoyed by X. Zhang
Link to paper:
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Congratulations to Nick Rommelfanger for winning the NSF Graduate Research Fellowship!🥂🎉🎉 Well deserved!!
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Really honored to be surrounded by supportive colleagues at Stanford MSE!
Congratulations to Professor Guosong Hong (
@HongNeuroTech
) for winning a Science & PINS Prize for Neuromodulation! 🎉
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We are hiring! Grad students and postdocs are all welcome -- let's work together to explore the uncharted territory at the interface of engineering and neuroscience!
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Grand opening of our lab at Stanford Materials Science and Engineering Department and Stanford Neurosciences Institute! 😎
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A very creative idea from our Stanford colleagues -- Congrats to the Wang and Gambhir labs!
Professor Shan Wang collaborates in the development of a smart toilet for personalized health monitoring.
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Excited to speak at the next Optogenetics Australia meeting and thank Nick
@nickjspencer1
for the invite! Register now and submit abstracts at
@OptogeneticsAus
,
@oferyizhar
,
@FlindersHMRI
,
@ChandraTucker7
,
@ANGMA_AU
,
@SfNtweets
,
@AusNeuroSoc
,
#optogenetics
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Congratulations to the Melosh group -- one step closer to the Matrix!
Research led by Nick Melosh develops a new device for connecting the brain directly to silicon-based technologies.
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@asalleo
Thank you very much, Alberto! I am humbled and honored to serve our department and teach our students.
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Congratulations to the Appel Lab!
Perimeter Solutions Acquires LaderaTech and FORTIFY® Fire Retardant Technology - "We saw the FORTIFY® technology as an opportunity for us to deploy superior fire prevention and protection performance and to... work helping to prevent and fight wildfires"
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Such a great pleasure to work with you on very exciting research, Grace!
wow!! so elated to be selected as a neurotech training fellow! very very stoked to be working with my primary mentor, Guosong (
@HongNeuroTech
), and my coadvisor, Surya (
@SuryaGanguli
), at the intersection of experimental and computational neuroscience!! thank you
@StanfordBrain
!
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@martin_a_vinck
@PMKraemer
@NatRevNeurosci
You are right, but this paper is saying that there is mixed artefacts to low-frequency (infraslow) signals even in your gamma recording. Taking the envelope and correlating at such frequency would be contaminated by these artefact contributions.
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@PMKraemer
@NatRevNeurosci
Thank you for everyone's input on this
@NatRevNeurosci
@PMKraemer
@martin_a_vinck
. We intended to show temporal resolution of EEG/MEG/ECoG spans a range of ms-sec as shown in following Fig. 1 from Nat. Rev. Neurosci. 2000, 1, 74, as opposed to clear-cut ms for depth electrodes:
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@martin_a_vinck
@PMKraemer
@NatRevNeurosci
One concern I have is that if we equalize all of them to 16-20 kHz theoretical limit, one may think all EEG/MEG/spikes can get single-unit and even sub-single-unit temporal resolution... The low-pass-filter effect by neural tissue, skull and scalp will be neglected.
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@PMKraemer
@NatRevNeurosci
...and power distribution shifts to lower f as electrodes are moved away from signal sources (neurons), due to the low-pass filter effect of neural tissue, skull and scalp. We are working with the editor to correct the confusion. Thanks for everyone's input!
@martin_a_vinck
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@asalleo
Thank you so much Alberto and big thanks to our incredibly collegial department for all the support in my career!
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