Mikhail Katkov

Random Tree Model of Meaningful Memory

The paper introduces a random tree model to explain quantitative features of narrative recall, showing sublinear recall length growth and scale-invariant summary distributions.

Synaptic Theory of Chunking in Working Memory

This paper introduces a synaptic theory of chunking in working memory, showing how chunking neurons enable the formation of compact representations and hierarchical structures, confirmed by experimental data.

Motion-Induced Blindness as a Noisy Excitable System

The paper investigates whether Motion-Induced Blindness (MIB) operates as an excitable system, finding that target disappearance is triggered by masks and follows refractory dynamics.

Using large language models to study human memory for meaningful narratives

The paper uses large language models to design memory experiments and analyze human recall and recognition of narratives, finding linear scaling with length and preserved recognition in scrambled narratives.

Forgetting Dynamics For Items of Different Categories

The paper examines how forgetting dynamics vary across different materials and finds that curves fall on a discrete spectrum, compatible with a model based on retrograde interference.

Effects of order on memory of event times

This study investigates how the order of events affects memory of their absolute times, finding that memory for order influences reported absolute times more than absolute time encoding alone.

Putative role of PV and SOM interneuron subtypes in working memory

The paper develops a modified model incorporating PV and SOM interneuron subtypes to explore their functional roles in working memory and makes testable predictions.

Retroactive Interference Model of Forgetting

The paper introduces a phenomenological model of forgetting based on retroactive interference, showing that older memories are more stable than newer ones through recognition experiments.

Fundamental Law of Memory Recall

The paper proposes a graph-based model for memory recall and verifies it with experiments, showing a universal search process for recalling items.

Emergence of hierarchical organization in memory for random material

The paper shows that participants spontaneously create hierarchical structures when recalling random word lists, improving memory performance and resembling real-life narrative structures.

Age-Related Changes in Neural Networks Supporting Complex Visual and Social Processing in Adolescence

This study investigates age-related changes in neural networks during adolescence using fMRI, finding that some brain regions show increased within-age correlation compared to adults.