multiprobe multiple single unit recordings and visual
play

Multiprobe multiple single-unit recordings and visual information - PowerPoint PPT Presentation

Multiprobe multiple single-unit recordings and visual information processing in the primate brain Hiroshi TAMURA V2 V1 V4 TEO TE Saturday, March 5, 2011 Gallant et al 1996 Ito & Komatsu 2004 TE V4 V2 V4 TE Tamura &Tanaka 2001


  1. Multiprobe multiple single-unit recordings and visual information processing in the primate brain Hiroshi TAMURA V2 V1 V4 TEO TE Saturday, March 5, 2011

  2. Gallant et al 1996 Ito & Komatsu 2004 TE V4 V2 V4 TE Tamura &Tanaka 2001 Desimone et al 1984 Stimulus-selective responses of neurons in visual cortices V2 V1 V4 TEO TE Saturday, March 5, 2011

  3. Tamura &Tanaka 2001 A neuron in the inferior temporal (IT) cortex responded to an image of a chair 2.0 5.0 27.8 Saturday, March 5, 2011

  4. How are the selective responses of IT neurons generated ? How are the neurons involved in the representation of visual images distributed in the IT cortex ? Saturday, March 5, 2011

  5. Functional neuronal circuitry in the inferior temporal (IT) cortex Saturday, March 5, 2011

  6. Heptode (Thomas) Multiprobe recording allows us to record simultaneously from multiple single neurons, and to perform cross-correlation analysis of spike trains Saturday, March 5, 2011

  7. Signals recorded with Heptode Signals from 6 of the 7 recording probes were shown Saturday, March 5, 2011

  8. Kaneko et al. 1999, 2007 Time cell 1 cell 2 cell n : Spike detection Spike classification Spike trains Isolation and classification of spikes 3 1 5 2 4 Saturday, March 5, 2011

  9. Recording and visual stimulus presentation system Saturday, March 5, 2011

  10. trail 1 0 trail 2 5 10 15 20 25 30 -t cell 2 +t 0 -t +t Time (reference) (reference) R 0 cell 1 5 trail 3 trail 4 trail 5 cell 1 cell 2 trail 5 0 R 10 15 20 25 30 trail 1 trail 2 trail 3 trail 4 Estimate functional connectivity with cross-correlation analysis raw correlograms shift predictors (trials were shifted for each stimulus condition) Saturday, March 5, 2011

  11. inhibitory target neuron excitatory (cell 2) neuron target (cell 1) neuron neuron (cell 4) Raw correlogram Shift predictor (control) Raw correlogram Shift predictor (control) cell 3 -> cell 4 cell 1 -> cell 2 cell 4 -> cell 3 (cell 3) cell 2 -> cell 1 Inhibitory and excitatory interactions between neurons in the IT cortex Cell 2 -> Cell 1 Cell 1 -> Cell 2 250 250 Spikes/bin 0 0 -0.1 0 0.1 Time (s) Cell 2 -> Cell 1 Cell 1 -> Cell 2 200 200 Spikes/bin 0 0 -0.04 0 0.04 Time (s) Saturday, March 5, 2011

  12. Signal correlation ฀ ฀ Tamura et al. 2003, 2004 A Inhibitory interactions Cell 2 -> Cell 1 Cell 1 -> Cell 2 250 250 were found in neuron pairs Spikes/bin with negatively correlated stimulus preferences 0 0 0 -0.1 0.1 Time (s) B 30 Cell 1 Spikes/s 0 -20 10 Cell 2 Spikes/s 0 -15 1 Stimulus 67 Saturday, March 5, 2011

  13. Signal correlation Excitatory interactions were found in neuron pairs with positively correlated stimulus preferences A Cell 2 -> Cell 1 Cell 1 -> Cell 2 200 200 Spikes/bin 0 0 -0.04 0 0.04 Time (s) B Cell 4 -> Cell 3 Cell 3 -> Cell 4 200 200 Spikes/bin 0 0 -0.02 0 0.02 Time (s) Saturday, March 5, 2011

  14. Inhibitory interaction Excitatory interaction Tamura et al. 2003, 2004 In the inferior temporal cortex, inhibitory interactions exist between neurons with different stimulus preferences Saturday, March 5, 2011

  15. Recording sites Cell 55 neurons (1485 pairs) The best stimuli of Normalized center peak height Cell * #$)' #(!& Vertical connections # !") (() ! !&% "%%(') % $)* ('& " '' "(& $ ('#%$" Cross-correlation ) !# !%)$$ $&")" '""#$! ' $!' ( #%' & %%" #*!*) "#'#%$ #* $"$ ## $& !"( #**$ #! " %%"(( !&#!") &#)&!' #% !!$( ('*& #" '" #$ #%& !"'$) #) ! #' #( $% !!%& #& ")*'( !* &" $))!"' '"(%*% !# !! #') !(! !*((! !% !" !$ !)# !) ##)"! &$("&' Most of the functional !' !$# interactions were observed in !( !(%!# !& "($()( adjacent neuron pairs %* ##( #"%$$ &$#&!) %# $!&! Saturday, March 5, 2011

  16. 25 0 19 7k 1 9 15 302 0 1 17 28 18k 52k 2 4 0 15 32 4k 51k 200805271733 (28 cells => 378 pairs) Shank-1 Shank-2 Shank-3 Shank-4 Shank-5 Shank-6 Shank-7 Shank-8 15 0 1 0 16k 24 9 16k 15k 0 1 0 19 7k 1 9 15 302 0 1 17 28 15k 25 24 9 0 51k 4k 32 4 0 2 52k 18k Horizontal connections We found short-range and long-range horizontal connections Saturday, March 5, 2011

  17. Inhibitory interaction Excitatory interaction Tamura et al. 2003, 2004 In the inferior temporal cortex, inhibitory interactions exist between neurons with different stimulus preferences Saturday, March 5, 2011

  18. Representation of visual object information in the inferior temporal (IT) cortex Saturday, March 5, 2011

  19. How wide is necessary? widely distributed? or locally distributed? Saturday, March 5, 2011

  20. “The representations are widely distributed ” Haxby et al., Science 293:2425-2430, 2001 Saturday, March 5, 2011

  21. Complex objects are represented by combinations of feature columns 1 mm Tsunoda et al., Nat Neurosci 4:832-838, 2001 Saturday, March 5, 2011

  22. Adjacent neurons belong to independent networks Yoshimura et al., Nature 433:868-873, 2005 Saturday, March 5, 2011

  23. Tamura et al. 2005 TE 下側頭葉 Responses of 3 adjacent neurons to a stimulus set 1 ch 2 ch 3 ch 4 ch 5 ch 6 ch cell 1 cell 2 0.2 cell 3 mv -0.2 0 1.5 ms A Cell 1 B Cell 2 C Cell 3 65 67.5 80 1s 1s 1s 0 0 0 40 60 40 Spikes/s Spikes/s Spikes/s 0 0 0 1 64 1 64 1 64 Saturday, March 5, 2011

  24. Adjacent neurons do not always share stimulus preferences Neurosci Res 52:311-322, 2005 Saturday, March 5, 2011

  25. How wide is necessary? We investigated this issue by quantifying single-trial responses with a linear decoding analysis Saturday, March 5, 2011

  26. I am sorry, I removed 2nd part of my talk Saturday, March 5, 2011

  27. The representation is locally distributed Saturday, March 5, 2011

  28. Cell Time (sec) 0 50 Spike trains of 55 simultaneously recorded neurons Saturday, March 5, 2011

  29. Collaboration between computational neuroscientists and neurophysiologists (biologists) spike trains from multiple neurons http://images.jsc.nasa.gov/lores/S68-49301.jpg Saturday, March 5, 2011

Recommend


More recommend