TY - JOUR
T1 - Sequential Effects in Two-Choice Reaction Time Tasks
T2 - Decomposition and Synthesis of Mechanisms
AU - Gao, Juan
AU - Wong-Lin, Kongfatt
AU - Holmes, Philip
AU - Simen, Patrick
AU - Cohen, Jonathan D.
N1 - Funding Information:
This work was partially supported by PHS grant MH62196 (Cognitive and Neural Mechanisms of Conflict and Control, Silvio M. Conte Center) and AFOSR grant FA9550-07-1-0537. The U.S. government is authorized to reproduce and distribute reprints for governmental purposes, notwithstanding any copyright notation thereon. The views and conclusions contained here are our own and should not be interpreted as necessarily representing the official policies or endorsements, expressed or implied, of the Air Force Research Laboratory or the U.S. government. We thank T. McMillen and E. Soetens for comments and advice and L. Nystrom for sharing experimental data.
Publisher Copyright:
© 2009 Massachusetts Institute of Technology.
PY - 2009/9/1
Y1 - 2009/9/1
N2 - Performance on serial tasks is influenced by first-and higher-order sequential effects, respectively, due to the immediately previous and earlier trials. As response-to-stimulus interval (RSI) increases, the pattern of reaction times transits from a benefit-only mode, traditionally ascribed to automatic facilitation (AF), to a cost-benefit mode, due to strategic expectancy (SE). To illuminate the sources of such effects, we develop a connectionist network of two mutually inhibiting neural decision units subject to feedback from previous trials. A study of separate biasing mechanisms shows that residual decision unit activity can lead to only first-order AF, but higher-order AF can result from strategic priming mediated by conflict monitoring, which we instantiate in two distinct versions. A further mechanism mediates expectation-related biases that grow during RSI toward saturation levels determined by weighted repetition (or alternation) sequence lengths. Equipped with these mechanisms, the network, consistent with known neurophysiology, accounts for several sets of behavioral data over a wide range of RSIs. The results also suggest that practice speeds up all the mechanisms rather than adjusting their relative strengths.
AB - Performance on serial tasks is influenced by first-and higher-order sequential effects, respectively, due to the immediately previous and earlier trials. As response-to-stimulus interval (RSI) increases, the pattern of reaction times transits from a benefit-only mode, traditionally ascribed to automatic facilitation (AF), to a cost-benefit mode, due to strategic expectancy (SE). To illuminate the sources of such effects, we develop a connectionist network of two mutually inhibiting neural decision units subject to feedback from previous trials. A study of separate biasing mechanisms shows that residual decision unit activity can lead to only first-order AF, but higher-order AF can result from strategic priming mediated by conflict monitoring, which we instantiate in two distinct versions. A further mechanism mediates expectation-related biases that grow during RSI toward saturation levels determined by weighted repetition (or alternation) sequence lengths. Equipped with these mechanisms, the network, consistent with known neurophysiology, accounts for several sets of behavioral data over a wide range of RSIs. The results also suggest that practice speeds up all the mechanisms rather than adjusting their relative strengths.
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U2 - 10.1162/neco.2009.09-08-866
DO - 10.1162/neco.2009.09-08-866
M3 - Article
C2 - 19548803
AN - SCOPUS:70349243740
SN - 0899-7667
VL - 21
SP - 2407
EP - 2436
JO - Neural Computation
JF - Neural Computation
IS - 9
ER -