Neurostatistical Model of Memory
Neurostatistical Model of Memory describes processes underlying the formation of long-term memory. In the model, memories are described by four core properties: stability, coherence, retrievability, and complexity.
Neurostatistical Model of Memory builds upon the two component model of memory. The new important contributions of the model are:
- statistical model of Retrievability based on neural network interference
- model of Stability based on the translocation of AMPA receptors, the growth of dendritic spines and the loss of synapses in sleep
- memory coherence model (incl. memory consolidation in sleep)
- memory Complexity model
Neurostatistical model is based on statistical properties of long-term memory derived from the memory effects of varied spaced review schedules. It expands the two component model of memory beyond the molecular interpretation by involving structural and neural aspects of long term changes in properties of memory.
Contributors: Piotr Wozniak, George Zonnios, Janusz Murakowski