MT1 perception- neurons and neural codes Flashcards

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1
Q

STRENGTHS OF GRADED POTENTIALS

A

Instantaneous, omnidirectional, infinitely graded

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2
Q

WEAKNESSES OF GRADED POTENTIALS

A

VERY short range, ambiguous

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3
Q

STRENGHTS OF APs

A

Unidirectional (NMJ), long range

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4
Q

WEAKNESSES OF APs

A

Fixed amplitude so can’t encode value of stimulus by voltage, limited rate, slower

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5
Q

What proposes each sensory nerve gives rise to its own characteristic sensation regardless of how its stimulated

A

Muller’s Law of Specific Nerve Energies (1835)

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6
Q

Who mapped functions/sensations onto the cortex

A

Penfield and Rasmussen (1950)

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7
Q

Who extended the doctrine of law of specific nerve energies

A

V Helmholtz (1963)- each fibre in the auditory nerve was specific to a particular pitch, yet nature of neural excitation was the same

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8
Q

Who proposed the simplistic nature of doctrine of specific nerve energeis

A

Muller himself (1938)

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9
Q

ADVATNAGES OF FREQUENCY CODING

A

Cheap, log coding allows a wider range of stimulus values to be encoded

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10
Q

WEAKNESSES OF FREQUENCY CODING

A

Limited firing rate limits range, takes time to decode reliably, opposite case in photoreceptors

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11
Q

Study providing evidence for frequency coding from frog muscle

A

Adrian and Zotterman (1925)- increasing the weight suspended from a thread attached to a frog muscle containing a single stretch receptor caused more frequent nerve impulses

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12
Q

Who did the Limulus study

A

Hartline and Graham (1932)- showed logarithmic coding initially, then power coding

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13
Q

Evidence for log coding in taste

A

Sato (1971)- at first, firing of a taste fibre of a rat was related to the log of the conc of the salt solution, then after 5 seconds the relationship followed a power function

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14
Q

Evidence of the latency of respnose in monkey neurons in AIT

A

Desimone et al (1984)- latency was 80-100ms

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15
Q

Steve Carrell neuron

A

Quiroga et al (2008)- steve carrell neuron

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16
Q

Evidence for sparse coding

A

Olhausen and Field (2004)- there is evidence the code for representing objects in visual system and tones in auditory system involves a pattern of activity across a small no of neurons

17
Q

STRENGTHS OF PLACE CODING

A

Unlimited (well) range, faster to decode

18
Q

STRENGTHS OF POPULATION CODING

A

Broadens range, reduced variablity from background noise/random firing from averaging, can code different stimulus attributes simultaneously

19
Q

WEAKNESSES OF PLACE CODING

A

Expensive, resolution gained at the cost of packing in more and more neurons

20
Q

STRENGTSH OF ENSEMBLE CODING

A

Compromise (reduces no of neurons needed), easier to decode reliably (less 0,9 vs 1 spike issue) and QUICKLY

21
Q

Study suggesting colour is coded by place

A

Most electrophysiology suggests colour is coded by place (Zeki, 1973)

22
Q

WEAKNESSES OF TEMPORAL ENCODING

A

Could take time to decode, can’t represent temporal and non-temporal qualities at once, unequally spaced impulses arrive more evely spaced (Brindley, 1970)

23
Q

Study supporting concept of opponent processes

A

De Valois et al (1966)- stimulation with light from different parts of the spectrum will increase or decrease base AP firing rate in cells in dorsal LGN of monkeys

24
Q

What is the consequence o light and dark adaption on what firing rate shows in auditory nerve fibres

A

Impulse rate doesn’t signal absolute light intensity, but intensity relative to the level the receptor ahs recently been exposed to

25
Q

Evidence for the variation in light intensity vs reflectancy of light at a particular illumination level

A

de Valois and de Valois (1990)- intensity of light varies oer 9 log units, while reflectancy of light within a particular level of illumination varies over only a 20-fold range

26
Q

Evidence of neuroanatomical basis of lateral inhibition in the eye

A

Collateral branches spread sideways from each receptor cell axno in a layer just below th eommatidia, making inhibitory synaptic contact with other nearby cells (Purple and Dodge, 1965)