SlideShare a Scribd company logo
1 of 23
Spatial Summation Properties of
Excitatory and Inhibitory Neuron
Subtypes in Mouse Visual Cortex
Paloma Sánchez-Jauregui, Gerald Pho, Mriganka
Sur, Ph.D.
Processing Visual Information
"Visual Perceptual Processing." Visual Perceptual Processing. N.p., n.d. Web.
Brain and Neuron Types
Excitatory Neurons
Pyramidal Cells (Pyr)
Inhibitory Neurons
Somatostatin Neurons (SOM)
Parvalbumin Neurons (PV)
Whiteman, By Lily. "Pond Scum Leads to Critical Brain Research Tool." LiveScience. TechMedia Network, 27. Web
How do neuronal subtypes in visual system
process information in the brain?
Spatial Summation in Mouse V1
"Synapses." Synapses. N.p., n.d. Web. http://www.biologymad.com/nervoussystem/summation.jpg
 Receptive Field – Visual system
 Different stimulus sizes
 Primary visual cortex (V1)
 Layer 2/3
SURROUND
CENTER
Size
Neural
Activity
Preferred Size: Size of maximum response
Suppression Index: Difference between PF and end response
Receptive Fields and Size Tuning
Purpose and Hypothesis
Purpose:
 To determine the potential role of Pyr, SOM and PV neurons in
surround suppression
Methods:
 Measuring size tuning properties of SOM, PV, Pyr neurons using
two-photon calcium and comparing them
Hypothesis:
 SOM neurons will exhibit no suppression and they will have a
preference for large sizes
 Pyr and PV neurons will behave similarly, showing a small
preferred size and a high suppression index.
Pyr : GcAMP PV: GcAMP + TdTomato SOM: Cre-Flex + GcAMP
In Vivo Two Photon Calcium Imaging
Image courtesy of Rajeev Rikhye
Inside a Mouse’s Brain
Pyr : GcAMP PV: GcAMP + TdTomato SOM: Cre-Flex + GcAMP
Images are courtesy of Rajeev Rikhye and Gerald Pho
Two Photon Calcium Imaging
Data Analysis
Image courtesy of Rajeev Rikhye and Gerald Pho
DFF
Time (s)
ActivityDFF
0 4 10 16 22 28 34 40 45
2 8 14 20 26 32 38
0 84 168 252
Data Analysis
Fluorescence(DFF)
Sizes (Deg)
Time (s)
DFF
2 8 14 20 26 32 38
Data Analysis
Pyr SOMPV
Size Tuning Curves for each neuron
Size (Deg)
Fluorescence(DFF)
Size Tuning Curves for each neuron type
Size (Deg)
1
0.5
Pyr SOMPV
NormDFF
Population Analysis
Suppression Index
Preferred Size (Deg)
Numberofcells
p < 0.01 p <0.0001
p = 0.58 p < 0.0001
n = 110 n = 12 n = 46
A Circuit for Spatial Summation
Preferred Size Small Medium Large
Suprresion Index Large Large Small
Pyr SOMPVSummary:
* Circuit based on known projections and retinotopic effects
Adesnik et al. 2014, Nature
Conclusions and Future Directions
 Pyr are initially excited at all stimulus sizes in its receptive field
center but not in its surround
 Preferred size is at small stimulus sizes but are suppressed
 SOM inhibitory neurons are responsible for surround
suppression of Pyr neurons
 Preferred size is at large stimulus sizes and are not suppressed
 PV neurons have an homogenizing effect but their role in
surround suppression is unknown
 Prefers mid stimulus sizes and are very suppressed
 Future studies should aim in understanding how PV neurons
contribute to spatial summation
Sur Lab
MARC Scholars Program
URS5
Gerald Pho
Rajeev Rikhye
Dr. Mriganka Sur
Dr. Mandana
Sassanfar
Acknowledgments
A Model for SizeTuning Curves
Sceniak et al. 1999 Nature Neuroscience
SOM Pyr
• SOM subtype that is highly connected will be more excited that
one that has less connections
• SOM subtype inherits own inhibition
Variation in SOM SizeTuning Curves
Calcium Indicators
o Dye
• Sensitive
o Genetically encoded
• Repeatable
• Selective
GcAMP
Two – Photon Microscope
H Adesnik et al. Nature , 2012
Pyr PV SOM
Hillel Adesnik

More Related Content

Similar to Sanchez, Paloma

How to mea­sure and improve brain-based out­comes that mat­ter in health care
How to mea­sure and improve brain-based out­comes that mat­ter in health careHow to mea­sure and improve brain-based out­comes that mat­ter in health care
How to mea­sure and improve brain-based out­comes that mat­ter in health careSharpBrains
 
Computational neuropharmacology drug designing
Computational neuropharmacology drug designingComputational neuropharmacology drug designing
Computational neuropharmacology drug designingRevathi Boyina
 
Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain
Micro-Neuro-Sensor Recording of STN Neurons of the Human BrainMicro-Neuro-Sensor Recording of STN Neurons of the Human Brain
Micro-Neuro-Sensor Recording of STN Neurons of the Human BrainMangaiK4
 
BRAIN FINGERPRINTING_NIRMAL
BRAIN FINGERPRINTING_NIRMALBRAIN FINGERPRINTING_NIRMAL
BRAIN FINGERPRINTING_NIRMALNirmal Yadav
 
Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...
Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...
Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...Fundación Ramón Areces
 
EEG Signal Classification using Deep Neural Network
EEG Signal Classification using Deep Neural NetworkEEG Signal Classification using Deep Neural Network
EEG Signal Classification using Deep Neural NetworkIRJET Journal
 
Mindreadingppt
MindreadingpptMindreadingppt
Mindreadingpptranjeetdon
 
Corporate presentation 2015
Corporate presentation 2015Corporate presentation 2015
Corporate presentation 2015NEUROSERVICE
 
Classification of EEG Signals for Brain-Computer Interface
Classification of EEG Signals for Brain-Computer InterfaceClassification of EEG Signals for Brain-Computer Interface
Classification of EEG Signals for Brain-Computer InterfaceAzoft
 
Positron emission tomographic scan
Positron emission tomographic scanPositron emission tomographic scan
Positron emission tomographic scanPrashant Makhija
 
Transcranial Photobiomodulation Dosimetry: Integrating Human Data and Penetra...
Transcranial Photobiomodulation Dosimetry: Integrating Human Data and Penetra...Transcranial Photobiomodulation Dosimetry: Integrating Human Data and Penetra...
Transcranial Photobiomodulation Dosimetry: Integrating Human Data and Penetra...Paolo Cassano, MD, PhD
 
Final prasoon
Final prasoonFinal prasoon
Final prasoonp_ganesh
 
Membrane Potentials Synaptic Transmission.pptx
Membrane Potentials  Synaptic Transmission.pptxMembrane Potentials  Synaptic Transmission.pptx
Membrane Potentials Synaptic Transmission.pptxRenuYadav3305
 
PET and SPECT Scanning: Functional Brain Imaging
PET and SPECT Scanning: Functional Brain ImagingPET and SPECT Scanning: Functional Brain Imaging
PET and SPECT Scanning: Functional Brain ImagingBrendan Quinn
 
Disease Detection Using BioRobotics
Disease Detection Using BioRoboticsDisease Detection Using BioRobotics
Disease Detection Using BioRoboticsbiomedicz
 
Lecture (Neuroscience)
Lecture (Neuroscience)Lecture (Neuroscience)
Lecture (Neuroscience)dermengles
 
Computer-Aided Detection (1).pptx
Computer-Aided Detection (1).pptxComputer-Aided Detection (1).pptx
Computer-Aided Detection (1).pptxMohammedMasliuddin
 
Parkinsons disease diagnosis using
Parkinsons disease diagnosis usingParkinsons disease diagnosis using
Parkinsons disease diagnosis usingijcsa
 

Similar to Sanchez, Paloma (20)

How to mea­sure and improve brain-based out­comes that mat­ter in health care
How to mea­sure and improve brain-based out­comes that mat­ter in health careHow to mea­sure and improve brain-based out­comes that mat­ter in health care
How to mea­sure and improve brain-based out­comes that mat­ter in health care
 
Computational neuropharmacology drug designing
Computational neuropharmacology drug designingComputational neuropharmacology drug designing
Computational neuropharmacology drug designing
 
Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain
Micro-Neuro-Sensor Recording of STN Neurons of the Human BrainMicro-Neuro-Sensor Recording of STN Neurons of the Human Brain
Micro-Neuro-Sensor Recording of STN Neurons of the Human Brain
 
BRAIN FINGERPRINTING_NIRMAL
BRAIN FINGERPRINTING_NIRMALBRAIN FINGERPRINTING_NIRMAL
BRAIN FINGERPRINTING_NIRMAL
 
Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...
Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...
Jorge Alberto Costa e Silva-Psiquiatría: situación actual y perspectivas de f...
 
EEG Signal Classification using Deep Neural Network
EEG Signal Classification using Deep Neural NetworkEEG Signal Classification using Deep Neural Network
EEG Signal Classification using Deep Neural Network
 
Mindreadingppt
MindreadingpptMindreadingppt
Mindreadingppt
 
Corporate presentation 2015
Corporate presentation 2015Corporate presentation 2015
Corporate presentation 2015
 
Classification of EEG Signals for Brain-Computer Interface
Classification of EEG Signals for Brain-Computer InterfaceClassification of EEG Signals for Brain-Computer Interface
Classification of EEG Signals for Brain-Computer Interface
 
Positron emission tomographic scan
Positron emission tomographic scanPositron emission tomographic scan
Positron emission tomographic scan
 
Transcranial Photobiomodulation Dosimetry: Integrating Human Data and Penetra...
Transcranial Photobiomodulation Dosimetry: Integrating Human Data and Penetra...Transcranial Photobiomodulation Dosimetry: Integrating Human Data and Penetra...
Transcranial Photobiomodulation Dosimetry: Integrating Human Data and Penetra...
 
Final prasoon
Final prasoonFinal prasoon
Final prasoon
 
Membrane Potentials Synaptic Transmission.pptx
Membrane Potentials  Synaptic Transmission.pptxMembrane Potentials  Synaptic Transmission.pptx
Membrane Potentials Synaptic Transmission.pptx
 
PET and SPECT Scanning: Functional Brain Imaging
PET and SPECT Scanning: Functional Brain ImagingPET and SPECT Scanning: Functional Brain Imaging
PET and SPECT Scanning: Functional Brain Imaging
 
Disease Detection Using BioRobotics
Disease Detection Using BioRoboticsDisease Detection Using BioRobotics
Disease Detection Using BioRobotics
 
Lecture (Neuroscience)
Lecture (Neuroscience)Lecture (Neuroscience)
Lecture (Neuroscience)
 
Computer-Aided Detection (1).pptx
Computer-Aided Detection (1).pptxComputer-Aided Detection (1).pptx
Computer-Aided Detection (1).pptx
 
Whole brain optical imaging
Whole brain optical imagingWhole brain optical imaging
Whole brain optical imaging
 
ANN presentataion
ANN presentataionANN presentataion
ANN presentataion
 
Parkinsons disease diagnosis using
Parkinsons disease diagnosis usingParkinsons disease diagnosis using
Parkinsons disease diagnosis using
 

Sanchez, Paloma

  • 1. Spatial Summation Properties of Excitatory and Inhibitory Neuron Subtypes in Mouse Visual Cortex Paloma Sánchez-Jauregui, Gerald Pho, Mriganka Sur, Ph.D.
  • 2. Processing Visual Information "Visual Perceptual Processing." Visual Perceptual Processing. N.p., n.d. Web.
  • 3. Brain and Neuron Types Excitatory Neurons Pyramidal Cells (Pyr) Inhibitory Neurons Somatostatin Neurons (SOM) Parvalbumin Neurons (PV) Whiteman, By Lily. "Pond Scum Leads to Critical Brain Research Tool." LiveScience. TechMedia Network, 27. Web How do neuronal subtypes in visual system process information in the brain?
  • 4. Spatial Summation in Mouse V1 "Synapses." Synapses. N.p., n.d. Web. http://www.biologymad.com/nervoussystem/summation.jpg  Receptive Field – Visual system  Different stimulus sizes  Primary visual cortex (V1)  Layer 2/3
  • 5. SURROUND CENTER Size Neural Activity Preferred Size: Size of maximum response Suppression Index: Difference between PF and end response Receptive Fields and Size Tuning
  • 6. Purpose and Hypothesis Purpose:  To determine the potential role of Pyr, SOM and PV neurons in surround suppression Methods:  Measuring size tuning properties of SOM, PV, Pyr neurons using two-photon calcium and comparing them Hypothesis:  SOM neurons will exhibit no suppression and they will have a preference for large sizes  Pyr and PV neurons will behave similarly, showing a small preferred size and a high suppression index.
  • 7. Pyr : GcAMP PV: GcAMP + TdTomato SOM: Cre-Flex + GcAMP In Vivo Two Photon Calcium Imaging Image courtesy of Rajeev Rikhye
  • 8. Inside a Mouse’s Brain Pyr : GcAMP PV: GcAMP + TdTomato SOM: Cre-Flex + GcAMP Images are courtesy of Rajeev Rikhye and Gerald Pho
  • 10. Data Analysis Image courtesy of Rajeev Rikhye and Gerald Pho
  • 11. DFF Time (s) ActivityDFF 0 4 10 16 22 28 34 40 45 2 8 14 20 26 32 38 0 84 168 252 Data Analysis
  • 12. Fluorescence(DFF) Sizes (Deg) Time (s) DFF 2 8 14 20 26 32 38 Data Analysis
  • 13. Pyr SOMPV Size Tuning Curves for each neuron Size (Deg) Fluorescence(DFF)
  • 14. Size Tuning Curves for each neuron type Size (Deg) 1 0.5 Pyr SOMPV NormDFF
  • 15. Population Analysis Suppression Index Preferred Size (Deg) Numberofcells p < 0.01 p <0.0001 p = 0.58 p < 0.0001 n = 110 n = 12 n = 46
  • 16. A Circuit for Spatial Summation Preferred Size Small Medium Large Suprresion Index Large Large Small Pyr SOMPVSummary: * Circuit based on known projections and retinotopic effects Adesnik et al. 2014, Nature
  • 17. Conclusions and Future Directions  Pyr are initially excited at all stimulus sizes in its receptive field center but not in its surround  Preferred size is at small stimulus sizes but are suppressed  SOM inhibitory neurons are responsible for surround suppression of Pyr neurons  Preferred size is at large stimulus sizes and are not suppressed  PV neurons have an homogenizing effect but their role in surround suppression is unknown  Prefers mid stimulus sizes and are very suppressed  Future studies should aim in understanding how PV neurons contribute to spatial summation
  • 18. Sur Lab MARC Scholars Program URS5 Gerald Pho Rajeev Rikhye Dr. Mriganka Sur Dr. Mandana Sassanfar Acknowledgments
  • 19. A Model for SizeTuning Curves Sceniak et al. 1999 Nature Neuroscience
  • 20. SOM Pyr • SOM subtype that is highly connected will be more excited that one that has less connections • SOM subtype inherits own inhibition Variation in SOM SizeTuning Curves
  • 21. Calcium Indicators o Dye • Sensitive o Genetically encoded • Repeatable • Selective GcAMP
  • 22. Two – Photon Microscope
  • 23. H Adesnik et al. Nature , 2012 Pyr PV SOM Hillel Adesnik