100 + Interview Questions in Basics Of Artificial Neural Networks in Neural Networks Page 2 InterviewSolution

51.	What is the name of the model in figure below?(a) Rosenblatt perceptron model(b) McCulloch-pitts model(c) Widrow’s Adaline model(d) None of the mentionedI have been asked this question during an internship interview.Question is from Models in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» RIGHT option is (B) McCulloch-pitts MODEL The BEST explanation: It is a GENERAL block diagram of McCulloch-pitts model of neuron.

Discussion

52.	How can output be updated in neural network?(a) synchronously(b) asynchronously(c) both synchronously & asynchronously(d) none of the mentionedI have been asked this question by my school principal while I was bunking the class.This intriguing question comes from Terminology topic in section Basics of Artificial Neural Networks of Neural Networks
Answer» RIGHT option is (c) both SYNCHRONOUSLY & asynchronously To explain: Output can be UPDATED at same time or at different time in the NETWORKS.

Discussion

53.	What is asynchronous update in neural netwks?(a) output units are updated sequentially(b) output units are updated in parallelfashion(c) can be either sequentially or in parallelfashion(d) none of the mentionedI have been asked this question in an online quiz.My question comes from Terminology topic in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» Correct answer is (a) output UNITS are updated sequentially To EXPLAIN: Output are updatedat DIFFERENT TIME in the NETWORKS.

Discussion

54.	In what ways can output be determined from activation value?(a) deterministically(b) stochastically(c) both deterministically & stochastically(d) none of the mentionedI had been asked this question during an interview.This is a very interesting question from Terminology in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» The correct CHOICE is (c) both DETERMINISTICALLY & stochastically The best explanation: This is the most important trait of INPUT processing & OUTPUT determination in NEURAL networks.

Discussion

55.	The procedure to incrementally update each of weights in neural is referred to as?(a) synchronisation(b) learning law(c) learning algorithm(d) both learning algorithm & lawThe question was asked during a job interview.This intriguing question comes from Terminology in portion Basics of Artificial Neural Networks of Neural Networks
Answer» The correct OPTION is (d) both LEARNING algorithm & law The explanation is: Basic DEFINITION of learning law in NEURAL.

Discussion

56.	The process of adjusting the weight is known as?(a) activation(b) synchronisation(c) learning(d) none of the mentionedThis question was addressed to me during a job interview.This intriguing question originated from Terminology in section Basics of Artificial Neural Networks of Neural Networks
Answer» Correct OPTION is (C) learning Easy explanation: BASIC DEFINITION of learning in neural NETS .

Discussion

57.	The amount of output of one unit received by another unit depends on what?(a) output unit(b) input unit(c) activation value(d) weightThis question was addressed to me during an interview.Enquiry is from Terminology in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» Correct ANSWER is (d) weight The EXPLANATION: ACTIVATION is sum of wieghted sum of inputs, which GIVES desired output..hence output depends on weights.

Discussion

58.	Negative sign of weight indicates?(a) excitatory input(b) inhibitory input(c) excitatory output(d) inhibitory outputThis question was addressed to me during a job interview.This intriguing question comes from Terminology in portion Basics of Artificial Neural Networks of Neural Networks
Answer» The correct OPTION is (b) inhibitory input Easiest EXPLANATION: SIGN CONVENTION of neuron.

Discussion

59.	What is an activation value?(a) weighted sum of inputs(b) threshold value(c) main input to neuron(d) none of the mentionedThis question was addressed to me in exam.I need to ask this question from Terminology in portion Basics of Artificial Neural Networks of Neural Networks
Answer» The CORRECT answer is (a) weighted sum of inputs The BEST I can EXPLAIN: It is definition of activation value & is BASIC q&a.

Discussion

60.	Positive sign of weight indicates?(a) excitatory input(b) inhibitory input(c) can be either excitatory or inhibitory as such(d) none of the mentionedI had been asked this question in a national level competition.This intriguing question comes from Terminology topic in section Basics of Artificial Neural Networks of Neural Networks
Answer» Correct OPTION is (a) EXCITATORY input To ELABORATE: Sign CONVENTION of NEURON.

Discussion

61.	What is ART in neural networks?(a) automatic resonance theory(b) artificial resonance theory(c) adaptive resonance theory(d) none of the mentionedI have been asked this question in examination.The question is from Terminology topic in division Basics of Artificial Neural Networks of Neural Networks
Answer» Right OPTION is (c) ADAPTIVE resonance theory For explanation I would say: It is FULL FORM of ART & is basic q&a.

Discussion

62.	Does there exist central control for processing information in brain as in computer?(a) yes(b) noThe question was asked in an interview for internship.I would like to ask this question from History in portion Basics of Artificial Neural Networks of Neural Networks
Answer» Correct option is (b) no For explanation: In human brain INFORMATION is LOCALLY PROCESSED & analysed.

Discussion

63.	John hopfield was credited for what important aspec of neuron?(a) learning algorithms(b) adaptive signal processing(c) energy analysis(d) none of the mentionedI got this question in a job interview.My question comes from History topic in section Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT option is (c) energy analysis The BEST I can EXPLAIN: It was of MAJOR contribution of his WORKS in 1982.

Discussion

64.	Who proposed the first perceptron model in 1958?(a) McCulloch-pitts(b) Marvin Minsky(c) Hopfield(d) RosenblattI got this question during an internship interview.The origin of the question is History topic in division Basics of Artificial Neural Networks of Neural Networks
Answer» RIGHT choice is (d) Rosenblatt Explanation: Rosenblatt proposed the FIRST PERCEPTRON MODEL in 1958 .

Discussion

65.	Who developed the first learning machine in which connection strengths could be adapted automatically?(a) McCulloch-pitts(b) Marvin Minsky(c) Hopfield(d) none of the mentionedI got this question in an interview for job.My doubt stems from History in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» Right CHOICE is (B) Marvin Minsky Explanation: In 1954 Marvin Minsky DEVELOPED the FIRST learning MACHINE in which connection strengths could be adapted automatically & efficiebtly.

Discussion

66.	What was the name of the first model which can perform wieghted sum of inputs?(a) McCulloch-pitts neuron model(b) Marvin Minsky neuron model(c) Hopfield model of neuron(d) none of the mentionedThis question was posed to me by my school principal while I was bunking the class.The doubt is from History topic in portion Basics of Artificial Neural Networks of Neural Networks
Answer» Correct answer is (a) McCulloch-pitts neuron MODEL To EXPLAIN: McCulloch-pitts neuron model can perform weighted sum of inputs FOLLOWED by THRESHOLD LOGIC operation.

Discussion

67.	What is the feature of ANNs due to which they can deal with noisy, fuzzy, inconsistent data?(a) associative nature of networks(b) distributive nature of networks(c) both associative & distributive(d) none of the mentionedI got this question in an online interview.My doubt is from History in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» The CORRECT CHOICE is (c) both ASSOCIATIVE & distributive For explanation I would say: General characteristics of ANNS.

Discussion

68.	Which action is faster pattern classification or adjustment of weights in neural nets?(a) pattern classification(b) adjustment of weights(c) equal(d) either of them can be fast, depending on conditionsI have been asked this question in an international level competition.Origin of the question is History topic in division Basics of Artificial Neural Networks of Neural Networks
Answer» Right choice is (a) PATTERN classification The best I can explain: Memory is addressable, so THUS pattern can be EASILY CLASSIFIED.

Discussion

69.	Operations in the neural networks can perform what kind of operations?(a) serial(b) parallel(c) serial or parallel(d) none of the mentionedI had been asked this question at a job interview.My enquiry is from History in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» RIGHT choice is (c) SERIAL or parallel Easiest EXPLANATION: GENERAL characteristics of neural networks.

Discussion

70.	Does the argument information in brain is adaptable, whereas in the computer it is replaceable is valid?(a) yes(b) noThe question was asked in an interview for job.Question is from History topic in section Basics of Artificial Neural Networks of Neural Networks
Answer» Right choice is (a) yes For explanation I would say: Its a fact & related to BASIC KNOWLEDGE of NEURAL NETWORKS !

Discussion

71.	How many synaptic connection are there in human brain?(a) 10^10(b) 10^15(c) 10^20(d) 10^5This question was posed to me during an online exam.This is a very interesting question from Characteristics topic in portion Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT choice is (b) 10^15 The best explanation: You can estimate this value from number of NEURONS in HUMAN CORTEX & their DENSITY.

Discussion

72.	Why can’t we design a perfect neural network?(a) full operation is still not known of biological neurons(b) number of neuron is itself not precisely known(c) number of interconnection is very large & is very complex(d) all of the mentionedThis question was addressed to me during an internship interview.This question is from Characteristics in portion Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT choice is (d) all of the mentioned Easy explanation: These are allfundamental reasons, why can’t we DESIGN a perfect NEURAL NETWORK !

Discussion

73.	what is estimated density of neuron per mm^2 of cortex?(a) 15(10^2)(b) 15(10^4)(c) 15(10^3)(d) 5(10^4)This question was posed to me in an interview for job.My query is from Characteristics topic in portion Basics of Artificial Neural Networks of Neural Networks
Answer» Right OPTION is (b) 15*(10^4) For explanation I would SAY: It is a biological FACT !

Discussion

74.	What is estimate number of neurons in human cortex?(a) 10^8(b) 10^5(c) 10^11(d) 10^20I had been asked this question in a job interview.I'd like to ask this question from Characteristics in division Basics of Artificial Neural Networks of Neural Networks
Answer» RIGHT OPTION is (C) 10^11 The EXPLANATION: It is a FACT !

Discussion

75.	Are all neuron in brain are of same type?(a) yes(b) noI have been asked this question during an internship interview.My doubt stems from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» The CORRECT option is (b) no Explanation: Follows from the FACT no two body cells are EXACTLY similar in HUMAN body, even if they belong to same CLASS.

Discussion

76.	What is hebb’s rule of learning(a) the system learns from its past mistakes(b) the system recalls previous reference inputs & respective ideal outputs(c) the strength of neural connection get modified accordingly(d) none of the mentionedThis question was posed to me in quiz.Origin of the question is Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT answer is (c) the strength of neural connection get MODIFIED accordingly The explanation: The strength of neuron to fire in future increases, if it is FIRED REPEATEDLY.

Discussion

77.	What is name of above mechanism?(a) hebb rule learning(b) error correction learning(c) memory based learning(d) none of the mentionedI have been asked this question during an online exam.Asked question is from Characteristics in section Basics of Artificial Neural Networks of Neural Networks
Answer» Right answer is (a) hebb rule LEARNING To explain I WOULD SAY: It follows from basic DEFINITION of hebb rule learning.

Discussion

78.	Does there is any effect on particular neuron which got repeatedly fired ?(a) yes(b) noThis question was posed to me in class test.My enquiry is from Characteristics topic in portion Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT CHOICE is (a) yes Explanation: The strength of NEURON to fire in FUTURE increases.

Discussion

79.	What is the critical threshold voltage value at which neuron get fired?(a) 30mv(b) 20mv(c) 25mv(d) 10mvI have been asked this question in my homework.Question is from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» Correct ANSWER is (d) 10mv The best explanation: This CRITICAL is founded by series of experiments CONDUCTED by neural SCIENTIST.

Discussion

80.	The cell body of neuron can be analogous to what mathamatical operation?(a) summing(b) differentiator(c) integrator(d) none of the mentionedThis question was posed to me in exam.The above asked question is from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» The correct ANSWER is (a) summing To explain I would say: Because adding of potential(due to neural fluid) at different parts of neuron is the REASON of its FIRING.

Discussion

81.	What is the function of neurotransmitter ?(a) they transmit data directly at synapse to other neuron(b) they modify conductance of post synaptic membrane for certain ions(c) cause polarisation or depolarisation(d) both polarisation & modify conductance of membraneI had been asked this question in an international level competition.The above asked question is from Characteristics in division Basics of Artificial Neural Networks of Neural Networks
Answer» RIGHT choice is (d) both polarisation & modify CONDUCTANCE of membrane Easy explanation: Excitatory & inhibilatory ACTIVITIES are RESULT of these two process.

Discussion

82.	How fast is propagation of discharge signal in cells of human brain?(a) less than 0.1m/s(b) 0.5-2m/s(c) 2-5m/s(d) 5-10m/sThe question was posed to me in homework.Query is from Characteristics topic in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» The correct ANSWER is (b) 0.5-2m/s Explanation: The PROCESS is very fast but comparable to the LENGTH of neuron.

Discussion

83.	What is effect on neuron as a whole when its potential get raised to -60mv?(a) it get fired(b) no effect(c) it get compressed(d) it expandsI had been asked this question during an online exam.My question is taken from Characteristics topic in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT ANSWER is (a) it GET fired The explanation is: Cell membrane LOOSES it impermeability against Na+ ions at -60MV.

Discussion

84.	The membrane which allows neural liquid to flow will?(a) never be imperturbable to neural liquid(b) regenerate & retain its original capacity(c) only the certain part get affected, while rest becomes imperturbable again(d) none of the mentionedThis question was addressed to me in an interview.This is a very interesting question from Characteristics topic in section Basics of Artificial Neural Networks of Neural Networks
Answer» Right ANSWER is (b) regenerate & RETAIN its original capacity Explanation: Each CELL of human BODY(internal) has regenerative capacity.

Discussion

85.	At what potential does cell membrane looses it impermeability against Na+ ions?(a) -50mv(b) -35mv(c) -60mv(d) -65mvThis question was addressed to me during an interview for a job.My question comes from Characteristics topic in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» Right answer is (c) -60mv Easiest EXPLANATION: CELL MEMBRANE looses it IMPERMEABILITY against Na+ ions at -60mv.

Discussion

86.	What is average potential of neural liquid in inactive state?(a) +70mv(b) +35mv(c) -35mv(d) -70mvThis question was posed to me during a job interview.The doubt is from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» The correct CHOICE is (d) -70mv To explain: It is a BASIC fact, FOUNDED out by series of experiments CONDUCTED by neural scientist.

Discussion

87.	What is the main constituent of neural liquid?(a) sodium(b) potassium(c) Iron(d) none of the mentionedI got this question in my homework.My question is from Characteristics topic in division Basics of Artificial Neural Networks of Neural Networks
Answer» The CORRECT ANSWER is (a) sodium The best explanation: Potassium is the main constituent of neural LIQUID & responsible for POTENTIAL on NEURON body.

Discussion

88.	What is charge at protoplasm in state of inactivity?(a) positive(b) negative(c) neutral(d) may be positive or negativeThis question was addressed to me in my homework.My question comes from Characteristics in section Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT choice is (b) negative Easy EXPLANATION: It is due to the PRESENCE of potassium ion on outer SURFACE in neural fluid.

Discussion

89.	What is the gap at synapses(in nanometer)?(a) 50(b) 100(c) 150(d) 200The question was posed to me by my college director while I was bunking the class.My query is from Characteristics in portion Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT ANSWER is (d) 200 Easy EXPLANATION: It is NEAR to 200NM.

Discussion

90.	What is approx size of neuron body(in micrometer)?(a) below 5(b) 5-10(c) 10-80(d) above 100I have been asked this question during an online exam.This intriguing question comes from Characteristics topic in division Basics of Artificial Neural Networks of Neural Networks
Answer» The correct ANSWER is (c) 10-80 Explanation: Average size of NEURON BODY LIES in the above LIMIT.

Discussion

91.	What is purpose of Axon?(a) receptors(b) transmitter(c) transmission(d) none of the mentionedThe question was asked in quiz.I would like to ask this question from Characteristics topic in section Basics of Artificial Neural Networks of Neural Networks
Answer» Correct choice is (C) transmission Easiest explanation: Axon is the BODY of neuron & THUS cant be at ends of it so cant RECEIVE & TRANSMIT signals.

Discussion

92.	Function of dendrites is?(a) receptors(b) transmitter(c) both receptor & transmitter(d) none of the mentionedThis question was posed to me by my school principal while I was bunking the class.The doubt is from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» Correct option is (a) receptors The best EXPLANATION: Dendrites are TREE like PROJECTIONS whose function is only to receive IMPULSE.

Discussion

93.	When the cell is said to be fired?(a) if potential of body reaches a steady threshold values(b) if there is impulse reaction(c) during upbeat of heart(d) none of the mentionedThe question was posed to me in an online interview.I would like to ask this question from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks
Answer» Right ANSWER is (a) if potential of body REACHES a steady threshold values The best EXPLANATION: Cell is said to be fired if & only if potential of body reaches ACERTAIN steady threshold values.

Discussion

94.	How does the transmission/pulse acknowledged ?(a) by lowering electric potential of neuron body(b) by raising electric potential of neuron body(c) both by lowering & raising electric potential(d) none of the mentionedThis question was addressed to me in examination.I want to ask this question from Characteristics in portion Basics of Artificial Neural Networks of Neural Networks
Answer» The CORRECT answer is (c) both by lowering & raising electric potential The best EXPLANATION: There is EQUAL PROBABILITY of both.

Discussion

95.	Where does the chemical reactions take place in neuron?(a) dendrites(b) axon(c) synapses(d) nucleusI had been asked this question during an internship interview.The doubt is from Characteristics in division Basics of Artificial Neural Networks of Neural Networks
Answer» CORRECT CHOICE is (C) synapses Explanation: It is a simple BIOLOGICAL FACT.

Discussion

96.	Signal transmission at synapse is a?(a) physical process(b) chemical process(c) physical & chemical both(d) none of the mentionedI have been asked this question in my homework.My doubt is from Characteristics in division Basics of Artificial Neural Networks of Neural Networks
Answer» Right choice is (b) CHEMICAL PROCESS Easy EXPLANATION: Since CHEMICALS are involved at synapse , so its an chemical process.

Discussion

97.	What is shape of dendrites like(a) oval(b) round(c) tree(d) rectangularThe question was asked during an interview for a job.This key question is from Characteristics in section Basics of Artificial Neural Networks of Neural Networks
Answer» RIGHT ANSWER is (C) tree To elaborate: Basic BIOLOGICAL q&a.

Discussion

98.	What are dendrites?(a) fibers of nerves(b) nuclear projections(c) other name for nucleus(d) noneof thementionedI had been asked this question by my college professor while I was bunking the class.My question is based upon Characteristics topic in section Basics of Artificial Neural Networks of Neural Networks
Answer» Right answer is (a) fibers of NERVES Explanation: DENDRITES tree SHAPED fibers of nerves.

Discussion

99.	What are the issues on which biological networks proves to be superior than AI networks?(a) robustness & fault tolerance(b) flexibility(c) collective computation(d) all of the mentionedI got this question in class test.Enquiry is from Characteristics topic in portion Basics of Artificial Neural Networks of Neural Networks
Answer» Correct CHOICE is (d) all of the mentioned The explanation is: AI NETWORK should be all of the above mentioned.

Discussion

100.	The fundamental unit of network is(a) brain(b) nucleus(c) neuron(d) axonThis question was posed to me by my school principal while I was bunking the class.My enquiry is from Characteristics in section Basics of Artificial Neural Networks of Neural Networks
Answer» Right choice is (c) neuron To elaborate: Neuron is the most basic & FUNDAMENTAL UNIT of a NETWORK .

Discussion

Explore topic-wise InterviewSolutions in .

The process of adjusting the weight is known as?(a) activation(b) synchronisation(c) learning(d) none of the mentionedThis question was addressed to me during a job interview.This intriguing question originated from Terminology in section Basics of Artificial Neural Networks of Neural Networks

The amount of output of one unit received by another unit depends on what?(a) output unit(b) input unit(c) activation value(d) weightThis question was addressed to me during an interview.Enquiry is from Terminology in chapter Basics of Artificial Neural Networks of Neural Networks

Negative sign of weight indicates?(a) excitatory input(b) inhibitory input(c) excitatory output(d) inhibitory outputThis question was addressed to me during a job interview.This intriguing question comes from Terminology in portion Basics of Artificial Neural Networks of Neural Networks

What is an activation value?(a) weighted sum of inputs(b) threshold value(c) main input to neuron(d) none of the mentionedThis question was addressed to me in exam.I need to ask this question from Terminology in portion Basics of Artificial Neural Networks of Neural Networks

What is ART in neural networks?(a) automatic resonance theory(b) artificial resonance theory(c) adaptive resonance theory(d) none of the mentionedI have been asked this question in examination.The question is from Terminology topic in division Basics of Artificial Neural Networks of Neural Networks

Does there exist central control for processing information in brain as in computer?(a) yes(b) noThe question was asked in an interview for internship.I would like to ask this question from History in portion Basics of Artificial Neural Networks of Neural Networks

Who proposed the first perceptron model in 1958?(a) McCulloch-pitts(b) Marvin Minsky(c) Hopfield(d) RosenblattI got this question during an internship interview.The origin of the question is History topic in division Basics of Artificial Neural Networks of Neural Networks

Operations in the neural networks can perform what kind of operations?(a) serial(b) parallel(c) serial or parallel(d) none of the mentionedI had been asked this question at a job interview.My enquiry is from History in chapter Basics of Artificial Neural Networks of Neural Networks

Does the argument information in brain is adaptable, whereas in the computer it is replaceable is valid?(a) yes(b) noThe question was asked in an interview for job.Question is from History topic in section Basics of Artificial Neural Networks of Neural Networks

How many synaptic connection are there in human brain?(a) 10^10(b) 10^15(c) 10^20(d) 10^5This question was posed to me during an online exam.This is a very interesting question from Characteristics topic in portion Basics of Artificial Neural Networks of Neural Networks

what is estimated density of neuron per mm^2 of cortex?(a) 15*(10^2)(b) 15*(10^4)(c) 15*(10^3)(d) 5*(10^4)This question was posed to me in an interview for job.My query is from Characteristics topic in portion Basics of Artificial Neural Networks of Neural Networks

What is estimate number of neurons in human cortex?(a) 10^8(b) 10^5(c) 10^11(d) 10^20I had been asked this question in a job interview.I'd like to ask this question from Characteristics in division Basics of Artificial Neural Networks of Neural Networks

Are all neuron in brain are of same type?(a) yes(b) noI have been asked this question during an internship interview.My doubt stems from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks

What is name of above mechanism?(a) hebb rule learning(b) error correction learning(c) memory based learning(d) none of the mentionedI have been asked this question during an online exam.Asked question is from Characteristics in section Basics of Artificial Neural Networks of Neural Networks

Does there is any effect on particular neuron which got repeatedly fired ?(a) yes(b) noThis question was posed to me in class test.My enquiry is from Characteristics topic in portion Basics of Artificial Neural Networks of Neural Networks

What is the critical threshold voltage value at which neuron get fired?(a) 30mv(b) 20mv(c) 25mv(d) 10mvI have been asked this question in my homework.Question is from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks

The cell body of neuron can be analogous to what mathamatical operation?(a) summing(b) differentiator(c) integrator(d) none of the mentionedThis question was posed to me in exam.The above asked question is from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks

How fast is propagation of discharge signal in cells of human brain?(a) less than 0.1m/s(b) 0.5-2m/s(c) 2-5m/s(d) 5-10m/sThe question was posed to me in homework.Query is from Characteristics topic in chapter Basics of Artificial Neural Networks of Neural Networks

At what potential does cell membrane looses it impermeability against Na+ ions?(a) -50mv(b) -35mv(c) -60mv(d) -65mvThis question was addressed to me during an interview for a job.My question comes from Characteristics topic in chapter Basics of Artificial Neural Networks of Neural Networks

What is average potential of neural liquid in inactive state?(a) +70mv(b) +35mv(c) -35mv(d) -70mvThis question was posed to me during a job interview.The doubt is from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks

What is the main constituent of neural liquid?(a) sodium(b) potassium(c) Iron(d) none of the mentionedI got this question in my homework.My question is from Characteristics topic in division Basics of Artificial Neural Networks of Neural Networks

What is charge at protoplasm in state of inactivity?(a) positive(b) negative(c) neutral(d) may be positive or negativeThis question was addressed to me in my homework.My question comes from Characteristics in section Basics of Artificial Neural Networks of Neural Networks

What is the gap at synapses(in nanometer)?(a) 50(b) 100(c) 150(d) 200The question was posed to me by my college director while I was bunking the class.My query is from Characteristics in portion Basics of Artificial Neural Networks of Neural Networks

What is approx size of neuron body(in micrometer)?(a) below 5(b) 5-10(c) 10-80(d) above 100I have been asked this question during an online exam.This intriguing question comes from Characteristics topic in division Basics of Artificial Neural Networks of Neural Networks

What is purpose of Axon?(a) receptors(b) transmitter(c) transmission(d) none of the mentionedThe question was asked in quiz.I would like to ask this question from Characteristics topic in section Basics of Artificial Neural Networks of Neural Networks

Function of dendrites is?(a) receptors(b) transmitter(c) both receptor & transmitter(d) none of the mentionedThis question was posed to me by my school principal while I was bunking the class.The doubt is from Characteristics in chapter Basics of Artificial Neural Networks of Neural Networks

Where does the chemical reactions take place in neuron?(a) dendrites(b) axon(c) synapses(d) nucleusI had been asked this question during an internship interview.The doubt is from Characteristics in division Basics of Artificial Neural Networks of Neural Networks

Signal transmission at synapse is a?(a) physical process(b) chemical process(c) physical & chemical both(d) none of the mentionedI have been asked this question in my homework.My doubt is from Characteristics in division Basics of Artificial Neural Networks of Neural Networks

What is shape of dendrites like(a) oval(b) round(c) tree(d) rectangularThe question was asked during an interview for a job.This key question is from Characteristics in section Basics of Artificial Neural Networks of Neural Networks

The fundamental unit of network is(a) brain(b) nucleus(c) neuron(d) axonThis question was posed to me by my school principal while I was bunking the class.My enquiry is from Characteristics in section Basics of Artificial Neural Networks of Neural Networks

what is estimated density of neuron per mm^2 of cortex?(a) 15(10^2)(b) 15(10^4)(c) 15(10^3)(d) 5(10^4)This question was posed to me in an interview for job.My query is from Characteristics topic in portion Basics of Artificial Neural Networks of Neural Networks