MT1 perception- neurons and neural codes Flashcards

(26 cards)

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
Evidence for the variation in light intensity vs reflectancy of light at a particular illumination level
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
Evidence of neuroanatomical basis of lateral inhibition in the eye
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)