Models of short-term memory
Probabilistic approach to cognition and memory posits humans as optimal learners who adapt to the statistical properties of the environment. Such adaptation takes place on different behaviourally relevant time scales: on the time scale of immediate inferences, as a moment-by-moment processing of sensory input, and on a longer time scale by learning from experience. In the context of human short term memory (STM) this assumes continuously updating the model of the environment in the light of newly arriving sensory information within the time scale of several seconds.
Neuroimaging of short term memory
I am particularly interested in the representation and learning of sequential information and I use fMRI to study how human memory systems participate in these processes.
The rest of the publications can be found below.
KALM, K. , NORRIS, D. (2018) Visual recency bias is explained by a mixture model of internal representations, Journal of Vision, 18(7):1 [Open Access]
KALM, K. , NORRIS, D. (2017) Reading positional codes with Fmri: Problems and solutions, PLOS One, 12(5):e0176585 [Open Access]
KALM, K. , NORRIS, D. (2017) A shared representation of order between encoding and recognition in visual short-term memory, NeuroImage, 155:138-146 [Open Access]
KALM, K. , NORRIS, D. (2016) Recall is not necessary for verbal sequence learning, Memory & Cognition [Open Access]
KALM, K. & NORRIS, D. (2014) The representation of order information in auditory-verbal short-term memory, Journal of Neuroscience, 34(20), 6879-6886 [Open Access]
KALM, K. , & NORRIS, D. (2013) Individual sequence representations in the medial temporal lobe, Journal of Cognitive Neuroscience, 25(7), 1111-1121 [Read More]
KALM, K. , DAVIS, M.H., NORRIS, D. (2012) Neural mechanisms underlying the grouping effect in short-term memory, Human Brain Mapping, 33(7), 1634-1647 [Read More]