2016/11/12 by Farzaneh Olianezhad, Olianezhad, Farzaneh, Maryam Tohidi-Moghaddam +5
Neuroscience · #FOS: Biological sciences #Neural and Behavioral Psychology Studies #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Visual perception and processing mechanisms
paper · pdf · doi:10.48550/arxiv.1611.03965
openalex publication_date 2016/11/12 · openalex created_date 2022/08/05 · openalex updated_date 2026/07/28
Bias in perceptual decisions comes to pass when the advance knowledge\ncolludes with the current sensory evidence in support of the final choice. The\nliterature on decision making suggests two main hypotheses to account for this\nkind of bias: internal bias signals are derived from (a) the residual of motor\nresponse-related signals, and (b) the sensory information residues of the\ndecisions that we made in the past. Beside these hypotheses, a credible\nhypothesis proposed by this study to explain the cause of decision biasing,\nsuggests that the decision-related neuron can make use of the residual\ninformation of the previous decision for the current decision. We demonstrate\nthe validity of this assumption, first by performing behavioral experiments\nbased on the two-alternative forced-choice (TAFC) discrimination of motion\ndirection paradigms and then, we modified the pure drift-diffusion model (DDM)\nbased on accumulation to the bound mechanism to account for the sequential\neffect. In both cases, the trace of the previous trial influences the current\ndecision. Results indicate that the probability of being correct in a current\ndecision increases if it is in line with the previously made decision. Also,\nthe model that keeps the previous decision information provides a better fit to\nthe behavioral data. Our findings suggest that the state of a decision variable\nwhich is represented in the activity of decision-related neurons after crossing\nthe bound (in the previous decision) can accumulate with the decision variable\nfor the current decision in consecutive trials.\n