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Title: Systems Physiology II 6010


1
Systems Physiology II 6010
Lecture 15 Gain Field Modulation
Bradley Greger, PhD
2
Announcements
  • Evoked potentials lab move to MEG scanner
  • No class Tuesday, April 8th
  • Presentations will be two per hour
  • Check website for order of presentation
  • Have papers chosen by next Tuesday at the latest

3
The representation of information
  • Cortical areas encode different types of
    information
  • neurons in each cortical area have different
    kinds of response fields
  • Response fields are formed during development and
    shaped by learning (LTP LTD)

4
Response Fields
  • How neurons encode information
  • What input (sensory stimulus, movement, thought,
    .) causes a neuron to change its firing rate
  • Characterized by preferred direction and tuning
    curve

5
Build more complex response fields
  • Simple response fields early in the cortical
    processing stream (LGN)
  • More complex response fields arise later in the
    cortical processing stream out of convergent
    inputs (V1)
  • Feedback and lateral connections also influence
    response fields (center-surround inhibition)

6
Extremely complex, multi-modal response fields
7
Reactivation of responses fields
  • Response fields can be (re-)activated without
    external stimuli
  • Likely through one of the many cortical
    sub-cortical loops

8
Motor response fields
  • Tuning curve for reach direction in space from
    motor cortex cell

9
Are response fields enough?
Sensory Input
Motor Output
Sensory Response Field
Motor Response Field
  • Very reflexive
  • Non-dynamic
  • Limited utility, decoding neural information

10
Are response fields enough?
Modulatory Inputs
Sensory Input
Motor Output
Sensory Response Field
Motor Response Field
  • Are there modulatory inputs from other cortical
    areas that can influence information processing?

11
Pubmed
  • http//www.bioen.utah.edu/faculty/greger/
  • From campus network can access many full-text
    papers
  • Let me know if you cant get the paper you want
  • Can always go to the library and photocopy it
  • Search
  • receptive field monkey (1594 hits)
  • Limit by journal
  • Science
  • Nature
  • Neuron
  • Journal of Neuroscience
  • Journal of Neurophysiology
  • Cerebral Cortex, Hippocampus,

12
Encoding of spatial location by posterior
parietal neurons
  • Methods
  • Extra-cellular single neuron recordings
  • Recording action potentials
  • Posterior parietal cortex
  • where stream

Electrode
Insulated
Uninsulated tip
Neurons
Magnified action potential
13
Encoding of spatial location by posterior
parietal neurons
  • Methods
  • Monkeys were trained to fixate different
    positions on a computer monitor
  • The response field of posterior parietal neurons
    were mapped while the monkey fixated several
    different locations

14
Encoding of spatial location by posterior
parietal neurons
  • Results
  • The firing rate of posterior parietals cells, in
    response to a visual stimulus placed in the
    response field, changed with the direction of
    gaze

15
Encoding of spatial location by posterior
parietal neurons
  • Results
  • Tuning curves were generated by placing visual
    stimuli at several locations through the response
    field
  • This was repeated for different gaze directions
  • The change in firing rate cause by gaze looks
    like a multiplicative gain

16
Schematic of gain field modulation
X
Response Field Retinotopic
Gain Field Modulatory input
Gain Modulated Response Field
17
Gain Modulation A Major Computational Principle
of the Central Nervous System
  • Conclusion
  • Gain field modulation provides downstream neurons
    (cortical areas) with information on retinal
    location of stimulus and gaze direction
  • This allows calculation of objects location in
    space relative to the body
  • Can be extrapolated to very complex relationships
    using tensor calculus

18
Memory-guided Movement TaskMedial Intra-parietal
Recordings
19
Temporally Extended Reach RelatedNeural Activity
Memory
Motor
Sensory
Spatially Tuned Reach Related Neural Activity
120 Hz
120 Hz
2.7 s
2.7 s
20
Saccade Adaptation Task
Back-step Saccade Adaptation
  • Back-step of 40 of distance to target
  • Random target eccentricities between 7.5 and 22.5
    degrees

21
Saccadic Gain as a Measure of Adaptation
Saccade Grain Saccade Distance / Target
Eccentricity
22
Saccade Adaptation change gain of movement
Pre-Adaptation
Early Adaptation
Late Adaptation
1.4
1.0
Saccade Gain
0.4
500
1000
Trial Number
23
Likely Effects of Saccade Adaptation
Shift in RF location
Firing Rate
Eccentricity (Degrees)
24
Likely Effects of Saccade Adaptation
Gain Modulation of RF
Firing Rate
Eccentricity (Degrees)
25
Example of Modulated Eccentricity Tuning Curve
Sensory
Memory
Motor
26
Example of Modulated Eccentricity Tuning Curve
Sensory
Memory
Motor
27
Schematic of change in gain field modulation by
adaptation
Pre-adaptation
X
Post-adaptation
Response Field (retinotopic)
Gain Modulated Response Field
Gain Field
28
Are response fields enough?
Gain Field Modulation
Sensory Input
Motor Output
Sensory Response Field
Motor Response Field
  • Gain field modulation
  • Fundamental neural computation
  • Allows for dynamic modulation of neural
    processing by other cortical areas
  • Extrapolates into cognitive domain
  • hierarchical
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