Distinguishing between parallel and serial processing in visual attention from neurobiological data
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Distinguishing between parallel and serial processing in visual attention from neurobiological data. / Li, Kang; Kadohisa, Mikiko; Kusunoki, Makoto; Duncan, John; Bundesen, Claus; Ditlevsen, Susanne.
In: Royal Society Open Science, Vol. 7, No. 1, 191553, 2020.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Distinguishing between parallel and serial processing in visual attention from neurobiological data
AU - Li, Kang
AU - Kadohisa, Mikiko
AU - Kusunoki, Makoto
AU - Duncan, John
AU - Bundesen, Claus
AU - Ditlevsen, Susanne
PY - 2020
Y1 - 2020
N2 - Serial and parallel processing in visual search have been long debated in psychology, but the processing mechanism remains an open issue. Serial processing allows only one object at a time to be processed, whereas parallel processing assumes that various objects are processed simultaneously. Here, we present novel neural models for the two types of processing mechanisms based on analysis of simultaneously recorded spike trains using electrophysiological data from prefrontal cortex of rhesus monkeys while processing task-relevant visual displays. We combine mathematical models describing neuronal attention and point process models for spike trains. The same model can explain both serial and parallel processing by adopting different parameter regimes. We present statistical methods to distinguish between serial and parallel processing based on both maximum likelihood estimates and decoding the momentary focus of attention when two stimuli are presented simultaneously. Results show that both processing mechanisms are in play for the simultaneously recorded neurons, but neurons tend to follow parallel processing in the beginning after the onset of the stimulus pair, whereas they tend to serial processing later on.
AB - Serial and parallel processing in visual search have been long debated in psychology, but the processing mechanism remains an open issue. Serial processing allows only one object at a time to be processed, whereas parallel processing assumes that various objects are processed simultaneously. Here, we present novel neural models for the two types of processing mechanisms based on analysis of simultaneously recorded spike trains using electrophysiological data from prefrontal cortex of rhesus monkeys while processing task-relevant visual displays. We combine mathematical models describing neuronal attention and point process models for spike trains. The same model can explain both serial and parallel processing by adopting different parameter regimes. We present statistical methods to distinguish between serial and parallel processing based on both maximum likelihood estimates and decoding the momentary focus of attention when two stimuli are presented simultaneously. Results show that both processing mechanisms are in play for the simultaneously recorded neurons, but neurons tend to follow parallel processing in the beginning after the onset of the stimulus pair, whereas they tend to serial processing later on.
KW - Correlated binomial model
KW - Hidden Markov model
KW - Neural spike trains
KW - Parallel and serial processing
KW - Statistical inference
KW - Visual attention
UR - http://www.scopus.com/inward/record.url?scp=85079616113&partnerID=8YFLogxK
U2 - 10.1098/rsos.191553
DO - 10.1098/rsos.191553
M3 - Journal article
C2 - 32218974
AN - SCOPUS:85079616113
VL - 7
JO - Royal Society Open Science
JF - Royal Society Open Science
SN - 2054-5703
IS - 1
M1 - 191553
ER -
ID: 239475578