Biology
Nervous System and Neurons
1,164 Questions
The nervous system and neurons section covers the structural and functional aspects of the human nervous system. Topics include nerve fibers, the myelin sheath, and sympathetic nervous system functions. This material is crucial for general science preparation in various competitive exams.
Neuron structureMyelin sheath productionSympathetic nervous systemCranial and spinal nervesParasympathetic functions
Nervous System and Neurons Questions
Which of the following is NOT a type of pain?
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Nociceptive pain
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Neuropathic pain
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Psychogenic pain
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Phantom limb pain
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Correct answer
Explanation
Phantom limb pain is a type of neuropathic pain, not a separate category.
The gate control theory of pain suggests that:
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Pain signals can be blocked by activating certain nerve fibers.
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Pain signals are always transmitted to the brain.
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Pain is purely a psychological phenomenon.
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Pain is always caused by tissue damage.
A
Correct answer
Explanation
The gate control theory of pain suggests that pain signals can be blocked by activating certain nerve fibers, which close a 'gate' in the spinal cord.
Which of the following is NOT a type of touch receptor?
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Tactile corpuscle
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Meissner's corpuscle
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Free nerve ending
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Photoreceptor
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Correct answer
Explanation
Photoreceptors are responsible for detecting light, not touch.
Which nerve is responsible for transmitting signals from the vestibular system to the brain?
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Vestibulocochlear nerve
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Auditory nerve
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Facial nerve
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Glossopharyngeal nerve
A
Correct answer
Explanation
The vestibulocochlear nerve carries signals from the vestibular system and the auditory system to the brain.
What is vestibular neuritis?
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An inflammation of the vestibular nerve
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A type of cancer that affects the inner ear
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A bacterial infection of the middle ear
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A condition that causes ringing in the ears
A
Correct answer
Explanation
Vestibular neuritis is an inflammation of the vestibular nerve, which can cause sudden vertigo, nausea, and vomiting.
What is the term for the process by which neurons communicate with each other?
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Synaptic Transmission
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Neurogenesis
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Long-Term Potentiation
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Axonal Transport
A
Correct answer
Explanation
Synaptic transmission is the process by which neurons communicate with each other. It involves the release of neurotransmitters from the presynaptic neuron, which bind to receptors on the postsynaptic neuron, triggering a response.
What is the term for the brief period of time during which a neuron cannot generate an action potential?
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Absolute refractory period
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Relative refractory period
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Hyperpolarization
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Threshold potential
A
Correct answer
Explanation
The absolute refractory period is the brief period of time during which a neuron cannot generate an action potential. It occurs immediately after an action potential has been generated and is caused by the inactivation of sodium channels in the neuron's membrane.
What is the term for the minimum membrane potential that must be reached in order to generate an action potential?
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Depolarization
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Hyperpolarization
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Refractory period
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Threshold potential
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Correct answer
Explanation
The threshold potential is the minimum membrane potential that must be reached in order to generate an action potential. It is typically around -55 mV in neurons.
What is the term for the mathematical model that describes the spread of an action potential along a neuron's axon?
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Hodgkin-Huxley equation
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Navier-Stokes equation
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Poisson equation
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Cable equation
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Correct answer
Explanation
The cable equation is a mathematical model that describes the spread of an action potential along a neuron's axon. It takes into account the electrical properties of the axon, such as its capacitance and resistance.
What is the term for the mathematical model that describes the behavior of a neuron as a network of interconnected units?
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Hodgkin-Huxley equation
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Navier-Stokes equation
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Poisson equation
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Neural network model
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Correct answer
Explanation
A neural network model is a mathematical model that describes the behavior of a neuron as a network of interconnected units. It takes into account the connections between neurons and the way that these connections affect the neuron's activity.
What is the term for the mathematical model that describes the behavior of a population of neurons?
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Hodgkin-Huxley equation
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Navier-Stokes equation
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Poisson equation
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Population model
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Correct answer
Explanation
A population model is a mathematical model that describes the behavior of a population of neurons. It takes into account the interactions between neurons and the way that these interactions affect the population's activity.
What is the term for the mathematical model that describes the behavior of a neuron in response to a stimulus?
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Hodgkin-Huxley equation
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Navier-Stokes equation
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Poisson equation
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Stimulus-response model
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Correct answer
Explanation
A stimulus-response model is a mathematical model that describes the behavior of a neuron in response to a stimulus. It takes into account the properties of the stimulus and the way that these properties affect the neuron's activity.
What is the term for the mathematical model that describes the behavior of a neuron in a learning task?
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Hodgkin-Huxley equation
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Navier-Stokes equation
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Poisson equation
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Learning model
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Correct answer
Explanation
A learning model is a mathematical model that describes the behavior of a neuron in a learning task. It takes into account the way that the neuron's activity changes over time as it learns.
What is the term for the mathematical model that describes the behavior of a neuron in a decision-making task?
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Hodgkin-Huxley equation
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Navier-Stokes equation
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Poisson equation
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Decision-making model
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Correct answer
Explanation
A decision-making model is a mathematical model that describes the behavior of a neuron in a decision-making task. It takes into account the way that the neuron's activity changes over time as it makes a decision.
What is the term for the mathematical model that describes the behavior of a neuron in a memory task?
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Hodgkin-Huxley equation
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Navier-Stokes equation
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Poisson equation
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Memory model
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Correct answer
Explanation
A memory model is a mathematical model that describes the behavior of a neuron in a memory task. It takes into account the way that the neuron's activity changes over time as it stores and retrieves information.