neurons and neural networks - harvard university

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Biophysical neuroscience Neurons and Neural Networks •Absorb information through sensory perception. •Store information in long & short term memories •Process information & calculate decisions •Output behavioral responses through muscle and movement

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Page 1: Neurons and Neural Networks - Harvard University

Biophysical neuroscience

Neurons and Neural Networks

•Absorb information through sensory perception.

•Store information in long & short term memories

•Process information & calculate decisions

•Output behavioral responses through muscle and movement

Page 2: Neurons and Neural Networks - Harvard University

1 mm

Caenorhabditis elegans

Sensory input•Taste•Smell•Touch•Temperature•Voltage

Behavioral output•Movement•Egg laying•Feeding

How do neurons give rise to behavior?Sensorimotor integrationMemory & experience dependent plasticity

Page 3: Neurons and Neural Networks - Harvard University

Brain size

C. elegans

302 neurons

Drosophila melanogaster

~104 neurons

Mus musculus

~108 neurons

Rhesus macaque

~1011 neurons

It’s even worse:Complexity grows combinatoricallywith brain size in wiring patterns ofsynaptic connectivity.

Page 4: Neurons and Neural Networks - Harvard University

Wiring diagram

Serial section electron microscopy

Connectivity pattern

Page 5: Neurons and Neural Networks - Harvard University

Strategy

Focus on movement responses to physical stimuliStraightforward to quantify & automate

Establish patterns in behaviorReduce behavior to specific rules

Find analogous patterns in neural structure and functionManipulate neural connectivityMonitor neural function

Page 6: Neurons and Neural Networks - Harvard University

Long-term memory inthermotaxis

Associative learning between foodand temperature.

Track of single worm grownovernight at 20ºC navigating radialthermal gradient that is 15ºC atcenter and 25ºC at edge.

Worm tracks isotherms near 20ºC

9 cm

Page 7: Neurons and Neural Networks - Harvard University

Isothermal tracking

WormsYoung adult worms that hadbeen cultivated overnight at20ºC

ConditionsLinear spatial thermalgradient of ~0.5ºC/cm onNGM plate without food

18ºC 20ºC 22ºC

Page 8: Neurons and Neural Networks - Harvard University

Worms track isotherms near theircultivation temperature

0

0.2

0.4

0.6

15 16 17 18 19 20 21 22 23 24 25 26

Ambient temperature (degrees Celsius)R

ela

tive

nu

mb

er

of

tra

cks Tcult=15C Tcult=20C Tcult=25C

Distribution of tracks is ameasure of internalmemory

Cultivate worms overnight at15, 20, or 25ºC

Record positions ofisothermal tracks on linearspatial thermal gradients

Page 9: Neurons and Neural Networks - Harvard University

Simple assay for thermotacticmemory

• Impose linear thermal gradienton cultivation plate

• Record tracks for ~5 min

• Positions of tracks revealsthermotactic memory

• Return plate to incubator

Page 10: Neurons and Neural Networks - Harvard University

How quickly do worms learn?

Page 11: Neurons and Neural Networks - Harvard University

Memory dynamics

UPSHIFT

• Grow worms overnightat 15ºC

• At t=0, shift worms to25ºC

• Positions of isothermaltracks at subsequenttime intervals aremeasured

15

20

25

0 30 60 90 120

TimeT

empe

ratu

re

Page 12: Neurons and Neural Networks - Harvard University

Memory dynamics

15

20

25

0 60 120 180 240 300

TimeT

empe

ratu

re

DOWNSHIFT• Grow worms overnight

at 25ºC• At t=0, shift worms to

15ºC• Positions of isothermal

tracks at subsequenttime intervals aremeasured

Page 13: Neurons and Neural Networks - Harvard University

Memory dynamics

Cycling Temperature of Cultivation

Step 1: Tcult=15°C for τ15ºC=5, 10 or15 min

Step 2: Tcult=25°C for τ25ºC=5 minStep 3: Goto Step 1, continue

overnight

19.1±1.0°C1:4

20.7±1.0°C1:2

21.4±1.4°C1:1

Positions oftracks

τ25ºC:τ15ºC

Page 14: Neurons and Neural Networks - Harvard University

Passive thermophilic drift

15

17.5

20

22.5

25

0 2 4 6 8 10 12

Time (hours)P

osi

tion

s o

f Is

oth

erm

al T

rack

s (C

els

ius)

Grow worms overnight at15ºCAt t=0, place on spatialthermal gradient from 15ºCto 25ºC with foodMeasure positions ofisothermal tracks atsubsequent time intervals

Page 15: Neurons and Neural Networks - Harvard University

Calculation of memory ofcultivation temperature

Memory is single-valued.

Formed by an integral over time of measurements of ambienttemperature while in the presence of food.

An integral has desirable properties for long-term memory: anaccumulation of experience; insensitive to transients.

Page 16: Neurons and Neural Networks - Harvard University

“Memory” neuron

Quantify synaptic activity usingpH-sensitive GFP localized tosynaptic vesicles

Tamb > Tcult

Tamb ~ Tcult

Tamb < Tcult�

ON

OFF

ON

Single-celled DNAmicroarray analysis ofAFD

dgk-3 diacylglycerol kinase

Page 17: Neurons and Neural Networks - Harvard University

15

20

25

0 200 400 600 800

Time

Tem

pera

ture

15

20

25

0 60 120 180 240 300

TimeT

empe

ratu

re

dgk-3: Learning mutantDOWNSHIFTUPSHIFT

dgk-3 (red) learns 25C ~4x moreslowly than wild-type worms (clear)

dgk-3 (blue) learns 15C as rapidlyas wild-type worms (clear)

Page 18: Neurons and Neural Networks - Harvard University

Memory tuning

KinasePhosphatase

TP

PP

TInteraction map

Page 19: Neurons and Neural Networks - Harvard University

Touch a worm’s nose → Backward movementTap a worm’s tail → Forward movement

AVA, AVDinterneurons

AnteriorSensory neurons

AVB, PNLinterneurons

PosteriorSensory neurons

Backward movement

Forward movement

Reflex arc encoded in a well-studied neural circuit

Mechanosensory behavior

Page 20: Neurons and Neural Networks - Harvard University

hyperbaricchamber

oblique illumination

Inverted Petri dish

inverted dissecting scope

CCD camera

Subject worm swimming ina microdroplet to variationsin hydrostatic pressure

What happens when youtouch it all over at once?

Page 21: Neurons and Neural Networks - Harvard University

Forward movement: End-to-end distance is large

Backward movement and turns: End to end distancedrops

Custom-written computeralgorithm measures the end-to-end distance of a swimmingworm in real-time

Behavioral analysis

Page 22: Neurons and Neural Networks - Harvard University

Raw Data

0

1

0.5

0 30 60

Time (sec)

Nor

mal

ized

White = worm end to end distance Red = turns flagged Green = pressure stimulus

One waveform’s worth of data of a cycling trianglewave stimulus (amplitude 8 psi, wavelength 60 sec)

Page 23: Neurons and Neural Networks - Harvard University

64 experimental trials1 waveform eachData from 8 worms

Raster Plot, The courses of each trial is distributed along the x-axis. Blue dots flagturns. Different trials are distributed along the y-axis

60 seconds

8 psi

RESPONSE

STIMULUS

Behavioral analysis

Page 24: Neurons and Neural Networks - Harvard University

7.5 psiT

urni

ng R

ate

240 sec

Stimulus

Response

Square wave statistics

Page 25: Neurons and Neural Networks - Harvard University

What does pressurefeel like?

+++

+

+

+

+

+ Pressure is not like being touchedeverywhere.

Water is nearly incompressible (150atm gives 1% change in volume).

Gas is very compressible. Eardrumspop with changes in elevation.

Does the worm have ears?

Page 26: Neurons and Neural Networks - Harvard University

Pressure & Tension

∆p = 2γr

γ surface tensionr radius of curvature

To measure pressure,all you need is a radiusof curvature & a way todetect interfacialtension.

The worm is internallypressurized, so asensor must be at theinterface between insideand outside.

Page 27: Neurons and Neural Networks - Harvard University

Amphid & Phasmid Neurons

This family ofsensory neuronscontacts the externalenvironment. Thepressure gradientbetween the insideand outside of theworm must be held inmembrane tension atthe tips of the ciliaryprojections.

Page 28: Neurons and Neural Networks - Harvard University

Popping their earsBefore sudden vacuum After sudden vacuum

Now that we can pop their ears, perhaps we can find their ears.

Page 29: Neurons and Neural Networks - Harvard University

AcknowledgmentsHEPLChris Gabel (PD)Damon Clark (G)Alex Dahlen (U)Ares Perides (U)Steven Lin (U)

BrandeisPiali Sengupta (PI)Adam Brown (G)