Title: Systems Physiology II 6010
1Systems Physiology II 6010
Lecture 15 Gain Field Modulation
Bradley Greger, PhD
2Announcements
- 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
3The 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)
4Response 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
5Build 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)
6Extremely complex, multi-modal response fields
7Reactivation of responses fields
- Response fields can be (re-)activated without
external stimuli - Likely through one of the many cortical
sub-cortical loops
8Motor response fields
- Tuning curve for reach direction in space from
motor cortex cell
9Are response fields enough?
Sensory Input
Motor Output
Sensory Response Field
Motor Response Field
- Very reflexive
- Non-dynamic
- Limited utility, decoding neural information
10Are 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?
11Pubmed
- 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,
12Encoding 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
13Encoding 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
14Encoding 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
15Encoding 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
16Schematic of gain field modulation
X
Response Field Retinotopic
Gain Field Modulatory input
Gain Modulated Response Field
17Gain 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
18Memory-guided Movement TaskMedial Intra-parietal
Recordings
19Temporally Extended Reach RelatedNeural Activity
Memory
Motor
Sensory
Spatially Tuned Reach Related Neural Activity
120 Hz
120 Hz
2.7 s
2.7 s
20Saccade Adaptation Task
Back-step Saccade Adaptation
- Back-step of 40 of distance to target
- Random target eccentricities between 7.5 and 22.5
degrees
21Saccadic Gain as a Measure of Adaptation
Saccade Grain Saccade Distance / Target
Eccentricity
22Saccade Adaptation change gain of movement
Pre-Adaptation
Early Adaptation
Late Adaptation
1.4
1.0
Saccade Gain
0.4
500
1000
Trial Number
23Likely Effects of Saccade Adaptation
Shift in RF location
Firing Rate
Eccentricity (Degrees)
24Likely Effects of Saccade Adaptation
Gain Modulation of RF
Firing Rate
Eccentricity (Degrees)
25Example of Modulated Eccentricity Tuning Curve
Sensory
Memory
Motor
26Example of Modulated Eccentricity Tuning Curve
Sensory
Memory
Motor
27Schematic of change in gain field modulation by
adaptation
Pre-adaptation
X
Post-adaptation
Response Field (retinotopic)
Gain Modulated Response Field
Gain Field
28Are 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