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ref: -2012 tags: parvalbumin interneurons V1 perceptual discrimination mice date: 03-06-2019 01:46 gmt revision:0 [head]

PMID-22878719 Activation of specific interneurons improves V1 feature selectivity and visual perception

  • Lee SH1, Kwan AC, Zhang S, Phoumthipphavong V, Flannery JG, Masmanidis SC, Taniguchi H, Huang ZJ, Zhang F, Boyden ES, Deisseroth K, Dan Y.
  • Optogenetic Activation of PV+ interneurons improves neuronal feature selectivity and improves perceptual discrimination (!!!)

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ref: -2019 tags: three photon imaging visual cortex THG chirp NOPA mice GCaMP6 MIT date: 03-01-2019 18:46 gmt revision:2 [1] [0] [head]

PMID-30635577 Functional imaging of visual cortical layers and subplate in awake mice with optimized three photon microscopy

  • Murat Yildirim, Hiroki Sugihara, Peter T.C. So & Mriganka Sur'
  • Used a fs Ti:Saphirre 16W pump into a non-colinear optical parametric amplifier (both from Spectra-Physics) to generate the 1300nm light.
  • Used pulse compensation to get the pulse width at the output of the objective to 40 fS.
    • Three-photon cross section is inverse quadratic in pulse width:
    • NP 3δ(τR) 2(NA 22hcλ) 3 N \sim \frac{P^3 \delta}{(\tau R)^2} (\frac{NA^2}{2hc\lambda})^3
    • P is power, δ\delta is 3p cross-section, τ\tau is pulse width, R repetition rate, NA is the numerical aperture (sixth power of NA!!!), h c and λ\lambda Planks constant, speed of light, and wavelength respectively.
  • Optimized excitation per depth by monitoring damage levels. varied from 0.5nJ to 5 nJ.
  • Imaged up to 1.5mm deep! All the way to the white matter / subplate.
  • Allegedly used a custom scan and tube lens to minimize aberrations in the excitation path (hence improve 3p excitation)
  • Layer 5 neurons are more broadly tuned for orientation than other layers. But the data is not dramatic.
  • Used straightforward metrics for tuning, using a positive and negative bump gaussian fit, then vector averaging to get global orientation selectivity.
  • Interesting that the variance between layers seems higher than between mice.

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ref: -0 tags: Kato fear conditioning GABA auditory cortex mice optogenetics SOM PV date: 02-04-2019 19:09 gmt revision:0 [head]

PMID-29375323 Fear learning regulates cortical sensory representation by suppressing habituation

  • Trained mice on CS+ and CS --> lick task.
    • CS+ = auditory tone followed by tailshock
    • CS- = auditory tone (both FM modulated, separated by 0.5 - 1.0 octave).
    • US = licking.
  • VGAT2-ChR2 or PV-ChR2
  • GABA-ergic silencing of auditory cortex through blue light illumination abolished behavior difference following CS+ and CS-.
  • Used intrinsic imaging to locate A1 cortex, then AAV - GCaMP6 imaging to lcoated pyramidal cells.
  • In contrast to reports of enhanced tone responses following simple fear conditioning (Quirk et al., 1997; Weinberger, 2004, 2015), discriminative learning under our conditions caused no change in the average fraction of pyramidal cells responsive to the CS+ tone.
    • Seemed to be an increase in suppression, and reduced cortical responses, which is consistent with habituation.
  • Whereas -- and this is by no means surprising -- cortical responses to CS+ were sustained at end of tone following fear conditioning.
  • ----
  • Then examined this effect relative to the two populations of interneurons, using PV-cre and SOM-cre mice.
    • In PV cells, fear conditioning resulted in a decreased fraction of cells responsive, and a decreased magnitude of responses.
    • In SOM cells, CS- responses were enhanced, while CS+ were less enhanced (the main text seems like an exaggeration c.f. figure 6E)
  • This is possibly the more interesting result of the paper, but even then the result is not super strong.

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ref: -0 tags: NET probes SU-8 microfabrication sewing machine carbon fiber electrode insertion mice histology 2p date: 12-29-2017 04:38 gmt revision:1 [0] [head]

PMID-28246640 Ultraflexible nanoelectronic probes form reliable, glial scar–free neural integration

  • SU-8 asymptotic H2O absorption is 3.3% in PBS -- quite a bit higher than I expected, and higher than PI.
  • Faced yield problems with contact litho at 2-3um trace/space.
  • Good recordings out to 4 months!
  • 3 minutes / probe insertion.
  • Fab:
    • Ni release layer, Su-8 2000.5. "excellent tensile strength" --
      • Tensile strength 60 MPa
      • Youngs modulus 2.0 GPa
      • Elongation at break 6.5%
      • Water absorption, per spec sheet, 0.65% (but not PBS)
    • 500nm dielectric; < 1% crosstalk; see figure S12.
    • Pt or Au rec sites, 10um x 20um or 30 x 30um.
    • FFC connector, with Si substrate remaining.
  • Used transgenic mice, YFP expressed in neurons.
  • CA glue used before metabond, followed by Kwik-sil silicone.
  • Neuron yield not so great -- they need to plate the electrodes down to acceptable impedance. (figure S5)
    • Measured impedance ~ 1M at 1khz.
  • Unclear if 50um x 1um is really that much worse than 10um x 1.5um.
  • Histology looks realyl great, (figure S10).
  • Manuscript did not mention (though the did at the poster) problems with electrode pull-out; they deal with it in the same way, application of ACSF.

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ref: Wilson-2006.12 tags: parkinsons burst firing MPTP mice STN DBS date: 01-26-2012 17:25 gmt revision:6 [5] [4] [3] [2] [1] [0] [head]

PMID-16973296[0] Subthalamic nucleus neurones in slices from MPTP-lesioned mice show irregular, dopamine-reversible firing pattern changes, but without synchronous activity

  • loss of dopamine in parkinson-model rats (not MPTP!) induces synchronized low-frequency oscillatory burst-firing in subthalamic nucleus neurons
  • MPTP mice, neurons fire slower, and more irregularly
  • only dopamine varied (increased) firing rate.
  • the STN & GP are insufficient to generate the abberant firing patterns in the STN, by itself - the disease is more than just dopamine depletion.


[0] Wilson CL, Cash D, Galley K, Chapman H, Lacey MG, Stanford IM, Subthalamic nucleus neurones in slices from 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-lesioned mice show irregular, dopamine-reversible firing pattern changes, but without synchronous activity.Neuroscience 143:2, 565-72 (2006 Dec 1)