With the advancement of technologies like in-car navigation and smartphones, concerns
around how cognitive functioning is influenced by “workload” are increasingly prevalent …

Convolutional neural networks show promise as models of biological vision. However, their
decision behaviour, including the facts that they are deterministic and use equal numbers of …

Evidence accumulation models (EAMs) have been the dominant models of speeded
decision-making for several decades. These models propose that evidence accumulates for …

Evidence accumulations models (EAMs) have become the dominant modeling framework
within rapid decision-making, using choice response time distributions to make inferences …

The diffusion decision model (DDM) has been used to investigate the effects of aging on
information processing in simple response time (RT) tasks. These analyses have …

Children with and without dyslexia differ in their behavioral responses to visual information,
particularly when required to pool dynamic signals over space and time. Importantly …

Diffusion models of evidence accumulation have successfully accounted for the distributions
of response times and choice probabilities from many experimental tasks, but recently their …

Many studies report atypical responses to sensory information in autistic individuals, yet it is
not clear which stages of processing are affected, with little consideration given to decision …

Theories of perceptual decision making have been dominated by the idea that evidence
accumulates in favor of different alternatives until some fixed threshold amount is reached …

The investigation of cognitive processes that form the basis of decision-making in paradigms
involving continuous outcomes has gained the interest of modeling researchers who aim to …