Lecture Kerkoerle Flashcards

1
Q

Detailed neural mechanisms of top-down visual processing in macaque monkeys

A
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2
Q

Cortical hierarchy

A

buttom-up stream in hirarchy

visual imput –> V1/V2 (spatial location) different neurons represent different features. –> V4 (larger receptive fields - more complex) differentiation in different elements (color, curved, rectilinear) –> TEO/TE –? vIPF

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3
Q

Receptive fields

A

V1/V2 neurons in certain location that represent different visual elements (one location, differing neurons representing differing features). Neighbouring neurons that represent neighbouring locations in the visual field

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4
Q

V4

A

larger receptive fields (more complex, i.e. circular or t-shaped) separation into several feature dimensions. I.e. Color, Curved, Rectilinerar

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5
Q

TEO/TE

A

Visual fields become even bigger (entire objects, such as banana, apple, etc). Still division into several features (color, curved, rectilinear)

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6
Q

vIPFC

A

completely abstract representations (i.e. circle, color, rectilinear,…)

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7
Q

Artificial neural network (ANN)

A

convolutional neural network (filter)

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8
Q

what is the directionality of the cortical hierarchy

A

it is actually 2-way, bottom-up is well understood, while top-down is not very well understood.

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9
Q

selection of visual information in depression/schizophrenia, etc. iss impaired

A

First need to understand healthy functioning, to then understand what the impairment is

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10
Q

How can top-down processing be investigated?

A
  1. Laminar recordings
  2. multi-photon imaging
  3. distribution of cell types
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11
Q

Why work with primates?

A
  • primates are genetically vey similar to humans
  • cell-types : genetic profile of important neurons (PVALB, SST, LAMPS, VIP)
  • In macaque and Marmoset the expression level of these neurons shows high correlation with the human one
  • translation is not possible if working with mouse or ferret
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12
Q

How is the organization of macaque different to mouse

A

Anatomical connectivity between different areas with association cortex. In visual area there is a clear hierarchy.
Large network dissociated from sensory input, you can have internal representations, like working memory that is not affected by sensory imput

In the mouse there is almost no hierarchy, everything is more connected. less high level cognitive functions

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13
Q

How is the columnal organization in V1 different between monkeys, mice and humans?

A

in V1 you have columnal organization, different orientations for different neurons which are clustered in macaque monkeys

but in rodents there is no such organization

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14
Q

Monkeys vs humans

A

human- 3x bigger
V1 is relatively smaller in humans compared to macaque (prefrontal cortex has increased, but V1 is relatively shrunken.

This is not the case if you “count the neurons” –> in humans there is no difference to other monkeys.

Human cortex has increased in volume, but the number of neurons has not increased.

BUT- Neurons have become bigger

Basically, there is a different in degree, not in kind

it correlate in a difference in behavior (working memory)

Human capacity to memorize (ca. 4 elements), in monkeys for 2 items it already drops about 80%, this mean a monkey usually can only memorize about 1 element

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15
Q

Laminar recording

A

Feedforward and feedback connections target separate cortical layers.

V1 : tracing individual axons

feedforward connections from LGN -> Layer 4A, L.4C, L.6

feedback connections: Axons coming from V1, arriving in L.1, L.2, and a little in L.3 and L.5 (avoids 4 and 6)

separate input coming in to the different layers (L4, L6 and L.3,L.5,L.1/2) in order to separate feedforward and feedback connections

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16
Q

Laminar recordings in monkey V1

A
  • Flash evoked activity
  • presenting high contrast checkboard grading
  • record simultaneously spiking activity across different layers

MUA

  • normalization, all peaks are now 1 to see differences in time : L6 and L4 is a little bit earlier
  • Synaptic input spreads very quickly, which is why it is hard to identify it

CSD: 2nd

spiking activity (action potentials)

LFP (corresponds to synaptic activity ) x2. subtract the neighbours

–> currents flowing away or towards the channel
current sink (where current flows inside neurons) - L4C - Feedforward

17
Q

LFP vs action potential

A

LFP: summed activity of a population of neurons (in Hz)

Action potentials: individual neural firing

18
Q

Selective attention task

A

4 possible targets
curve tracing task
monkey fixates a red dot. Then lines appear connecting red dot to one of 4 targets
Monkey has to follow curve and make eye movement to the target

First you record at the target, then the distractor

–> need for larger receptive fields
target vs distractor

19
Q

Spiking activity across layers

A

fixation (300 ms)
Stimulus (750 ms)
Saccade (monkey gets juice if correct)

if stimulus appears, there is a very strong response (peak) that can propagate to the next layer

Around 200 miliseconds: stabilizes in time.

Feedforward (no distinction between target and distractor)

only at about 200 milliseconds a distinction takes place

20
Q

Feedback laminar profile

A

MUS and cortical depth and CSD shows feedback in the correct layers

21
Q

Is V1 involved in working memory as well?

A

Stimulus 150 ms, but followed by delay so that monkey has to memorize.

Neurons in V1 still have modulation between target and distractor

There is working memory trace in V1 but lost if mask is presented

Working memory is only stored in prefrontal cortex

22
Q

Multi-photon imaging & activity-dependent fluorophores advantages

A
  • sub-cellular resolution (ca. 2um)
  • complete neural population
  • map topography
  • follow neurons over sessions (see same neuron and detect learning effect)
  • connections between neurons/areas
  • cell-type specificity
  • image neuromodulators (e.g. dopamine)

link anatomy with congnitive functions

23
Q

Dissecting the neural microcircuit

A

A. Local somata and projections
Injection Site
Viral Expression

B. Cell-type specificity

C. Anterograde

D. Retrograde

You engineer a virus, it infects a cell and the cell starts producing any protein you want it to produce

local expression of virus

cell-type specific (inject virus anywhere and only specific neurons will be affected)

Viral vector technology

24
Q

Multi-photon microscopy

A

Light scattering–> overcome bad resolution

one photons vs 2 photons vs 3 photons excitation : the more light you get, the more signal you get

only at focal plane you get excitation

25
Q

multi-photoimaging in monkeys

A

visualizing neuronal connections using 2-photon imaging

Is there changing in V1

window implanted –> image axons and understand how they change while animal is learning the task.

Before learning and after learning axons changed while animal was learning

after a couple of weeks the dura grew back

if you have 3-photon imaging you can reach deeper

26
Q

Three-microscope suitable for macaque monkeys

A
27
Q

Imaging vasculature in monkey cortex

A
28
Q

Imaging neurons in monkey cortex

A

measure calcium activity

29
Q

2/ vs 3/photon imaging of the vasculature in the cortex through the dura

A

section the brain with light

30
Q

Distribution of cell types

A

Comparing hierarchies between mice and macaque monkeys

  • cortical gradient of interneuron distribution

Feedforward -> conects to perimidal cells and PV cells

Feedback-> CR projecting to (inhibits) CB projecting to (disinhibiting) pyramidal

in macaque there is V2/V1 feedforward and ACC feedback

Mouse only has feedfarward processes

31
Q

Summary

A
  • Selective attention involves feedback to V1
  • Working memory involves feedback to V1, but working memory items are not stored in V1
  • Three-photon microscopy allows imaging through natural dura in macaque monkeys
  • Top-down circuits become dominant towards higher cortical areas, and this gradient is enhanced in macaque monkeys compared to mice
  • This suggests that primates might have unique abilities to maintain internal goals and dynamically select information that is relevant for the task at hand