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Bias in perceptual decisions comes to pass when the advance knowledgecolludes with the current sensory evidence in support of the final choice. Theliterature on decision making suggests two main hypotheses to account for thiskind of bias: internal bias signals are derived from (a) the residual of motorresponse-related signals, and (b) the sensory information residues of thedecisions that we made in the past. Beside these hypotheses, a crediblehypothesis proposed by this study to explain the cause of decision biasing,suggests that the decision-related neuron can make use of the residualinformation of the previous decision for the current decision. We demonstratethe validity of this assumption, first by performing behavioral experimentsbased on the two-alternative forced-choice (TAFC) discrimination of motiondirection paradigms and then, we modified the pure drift-diffusion model (DDM)based on accumulation to the bound mechanism to account for the sequentialeffect. In both cases, the trace of the previous trial influences the currentdecision. Results indicate that the probability of being correct in a currentdecision increases if it is in line with the previously made decision. Also,the model that keeps the previous decision information provides a better fit tothe behavioral data. Our findings suggest that the state of a decision variablewhich is represented in the activity of decision-related neurons after crossingthe bound (in the previous decision) can accumulate with the decision variablefor the current decision in consecutive trials.

Residual Information of Previous Decision Affects Evidence Accumulation in Current Decision