Digital filtering and signal processing

Lovell, John D.; Nagel, David; Carterette, Edward C.

doi:10.3758/bf03200116

Cited by 2 publications

(1 citation statement)

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“…Figure 18 shows a set of computed PST histograms for stimulus conditions similar to those employed by Kiang. The masked stimulus consisted of a 50-ms tone burst (1000 Hz, 40 dB re threshold) followed by a 50-ms silent interval; the masking stimulus was produced by passing white noise through two digital filters roughly corresponding to the frequency characteristics of the middle ear (Flanagan, 1972) Table I Hz (Lovell et al, 1973), respectively. Each frame of Fig.…”

Section: Neural Maskingmentioning

confidence: 99%

A model of the hair cell-primary fiber complex

Ross

1982

The Journal of the Acoustical Society of America

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The proposed model consists of a chain of three energy reservoirs through which energy from an infinite supply is fed to a modulator which in turn drives a firing mechanism. The modulator consists of a variable permeability p that depends on instantaneous basilar displacement a through: p = (a - AO)2 for a greater than AO, and p = O for a less than or equal to AO, where AO is a constant. The firing mechanism consists of a Poisson generator (process) whose average output rate is proportional to energy flow through the modulator, and a classical "leaky integrator" neuronal model driven by the Poisson generator. The model, containing three fixed and eight free parameters, was examined with respect to statistical properties of spontaneous activity, relation between overall firing rate and level of stimulation, various adaptation and recovery phenomena within time ranges from a few milliseconds to several seconds, period histograms for one- and two-tone (phase locked) stimulation, suppression of responses to one tone by subthreshold levels of another (phase locked) tone, and neural masking. Model behavior in general was satisfactory. Deficiencies in single-cycle histograms at medium and high levels, and insufficient onset peaking in PST histograms, were attributed to the malfunctioning of one particular segment of the model, and a possible remedy was suggested.

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Section: Neural Maskingmentioning

confidence: 99%

A model of the hair cell-primary fiber complex

Ross

1982

The Journal of the Acoustical Society of America

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Co-existing with on-line systems

Pilla¹

1973

Behav. Res. Meth. Instru.

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A typical cliche in the computer world is "Computers are dumber than people-but smarter than programmers." Unfortunately. this is even more of a truism when real-time programming is discussed. Few existing systems, commercially available, allow the nonprogrammer to concentrate on his field of interest, such as psychology. Rather, one is faced with the prospect of becoming a programmer in order to effectively use on-line systems in ihe lab. One is then faced with the prospect of becoming a mediocre programmer and eventually a mediocre researcher as well, since more time is spent trying to program the research rather than with the research itself.I use the word "mediocre" because it is too easy to fall into the trap of working on the system for the sake of the machine itself and to devise elaborate experiments which are not really meaningful or necessary. At first, more experiments were generated with the use of computers, but the number of published results did not significantly increase. In effect, researchers were able to weed out weak experiments or procedures early with quick pilot runs. In the past, without computer aids, quite a bit of time and effort was expended on an idea.

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Digital filtering and signal processing

Cited by 2 publications

References 5 publications

A model of the hair cell-primary fiber complex

A model of the hair cell-primary fiber complex

Co-existing with on-line systems

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