What concept was introduced in the beginning of the lecture?

Neuron Models and Stochastic Processes

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Biology
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University
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Hard

Thomas White
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Deterministic signals
Membrane voltage
Neuron firing
Stochastic intensity
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a deterministic signal give rise to in a neuron model?
Stochastic intensity
Membrane voltage
Escape rate
Survival probability
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of stochastic intensity in neuron models?
Determines membrane voltage
Calculates escape rates
Generates spikes
Resets potential
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the survival probability indicate in neuron models?
Interval distribution
Escape rate
Membrane voltage level
Likelihood of firing
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is the interval distribution derived from survival probability?
By resetting potential
By calculating firing time
By integrating membrane voltage
By multiplying with escape rate
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What theory is used for constant input in neuron models?
Renewal theory
Survival theory
Stochastic theory
Deterministic theory
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What effect does time-dependent input have on neuron models?
Increases escape rate
Alters survival function
Changes membrane voltage
Affects firing probability
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