Fiser J. (2021) Kampourakis, K., & McCain, K. (2020) Uncertainty — How it makes science advance. Perception 50 (3), pp. 280-281
Uncertainty—How It Makes Science AdvanceK Kampourakis & K McCain . (2020). Uncertainty—How It Makes Science Advance. Oxford, UK: Oxford University Press. 264 pp. £19.99 (hardback), ISBN 978–0–19–087166–6.Reviewed by: József Fiser, Department of Cognitive Science Central European University Vienna, Austria PDF
Koblinger, Á. Fiser J., & Lengyel M. (2021) Representations of uncertainty: where art thou? Current Opinion in Behavioral Sciences 38, pp. 150-162
Perception is often described as probabilistic inference requiring an internal representation of uncertainty. However, it is unknown whether uncertainty is represented in a task-dependent manner, solely at the level of decisions, or in a fully Bayesian manner, across the entire perceptual pathway. To address this question, we first codify and evaluate the possible strategies the […]
Fiser J., & Koblinger Á. (2021) A probabilistic hammer for nailing complex neural data analyses. Neuron 109 (7), pp. 1077-1079
In this issue of Neuron, Młynarski et al. (2021) provide a maxent-based normative method for flexible neural data analysis by combining data-driven and theory-driven approaches. The next challenge is identifying the right frameworks to use this method at its best. PDF | REFERS TO
Bernacchia A., Fiser J, Hennequin G. & Lengyel M. (2022) Adaptive erasure of spurious sequences in sensory cortical circuits. Neuron 110, pp. 1-12
Sequential activity reflecting previously experienced temporal sequences is considered a hallmark of learning across cortical areas. However, it is unknown how cortical circuits avoid the converse problem: producing spurious sequences that are not reflecting sequences in their inputs. We develop methods to quantify and study sequentiality in neural responses. We show that recurrent circuit responses […]
Fiser J. & Lengyel G. (2022) Statistical Learning in Vision. Annual Review Vision Science 2022, 8:265-290
Vision and learning have long been considered to be two areas of research linked only distantly. However, recent developments in vision research have changed the conceptual definition of vision from a signal-evaluating process to a goal-oriented interpreting process, and this shift binds learning, together with the resulting internal representations, intimately to vision. In this review, […]
McDevitt E. A., Zhang J., MacKenzie K. J., Fiser J. & Mednick S. C. (2022) The effect of interference, offline sleep, and wake on spatial statistical learning. Neurobiology of Learning And Memory 2022, 193
Statistical learning, the ability of the human brain to uncover patterns organized according to probabilistic relationships between elements and events of the environment, is a powerful learning mechanism underlying many cognitive processes. Here we examined how memory for statistical learning of probabilistic spatial configurations is impacted by interference at the time of initial exposure and […]