2018/09/21 by Michael E. Hasselmo, Hasselmo, Michael E.
Computer Science · Neuroscience · #FOS: Biological sciences #Functional Brain Connectivity Studies #Neural Networks and Applications #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
paper · pdf · doi:10.48550/arxiv.1809.08203
openalex publication_date 2018/09/21 · openalex created_date 2022/08/03 · openalex updated_date 2026/07/28
Flexible cognition requires the ability to rapidly detect systematic\nfunctions of variables and guide future behavior based on predictions. The\nmodel described here proposes a potential framework for patterns of neural\nactivity to detect systematic functions and relations between components of\nsensory input and apply them in a predictive manner. This model includes\nmultiple internal gating agents that operate within the state space of neural\nactivity, in analogy to external agents behaving in the external environment.\nThe multiple internal gating agents represent patterns of neural activity that\ndetect and gate patterns of matrix connectivity representing the relations\nbetween different neural populations. The patterns of gating matrix\nconnectivity represent functions that can be used to predict future components\nof a series of sensory inputs or the relationship between different features of\na static sensory stimulus. The model is applied to the prediction of dynamical\ntrajectories, the internal relationship between features of different sensory\nstimuli and to the prediction of affine transformations that could be useful\nfor solving cognitive tasks such as the Ravens progressive matrices task.\n