Neuroscience of Insects and Crustaceans

Neuroscience of Insects and Crustaceans

Assessment

Interactive Video

Biology, Science

9th - 12th Grade

Hard

Created by

Olivia Brooks

FREE Resource

The speaker shares their fascination with insects, particularly fruit flies, and their unique behaviors. They explore the mechanics of insect flight, comparing it to human aircraft, and delve into the fly's engine and nervous system. The talk highlights the complexity of the fly's brain and its ability to perform sophisticated behaviors with fewer neurons. The concept of multiplexing in time and space is discussed, showcasing how flies efficiently use their neural resources.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What inspired the speaker to study insects?

A fascination with Star Wars

A love for Star Trek

A childhood interest in dinosaurs

A family tradition of entomology

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key difference between insect wings and aircraft wings?

Insect wings are powered by jet engines

Insect wings create a Leading Edge Vortex

Insect wings function like helicopter blades

Insect wings are made of metal

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the Hal tiers in a fly?

To store energy

To produce sound

To sense body rotation

To detect light

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many neurons does a fly's brain approximately have?

1 billion

100,000

1 million

10,000

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the 'Trump number' used to compare?

The size of an animal

The lifespan of an animal

The speed of an animal

The behavioral repertoire relative to neuron count

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main argument against considering fruit flies as simple models?

They have too many neurons

They are not related to humans

Their brains are complex despite being small

They do not exhibit any behaviors

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is one way a small number of neurons can perform many tasks?

Through multiplexing in time

By growing larger

By reducing energy consumption

Through constant neuron replacement

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