A network model of behavioural performance in a rule learning task

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
Michael E Hasselmo, Chantal E Stern

Abstract

Humans demonstrate differences in performance on cognitive rule learning tasks which could involve differences in properties of neural circuits. An example model is presented to show how gating of the spread of neural activity could underlie rule learning and the generalization of rules to previously unseen stimuli. This model uses the activity of gating units to regulate the pattern of connectivity between neurons responding to sensory input and subsequent gating units or output units. This model allows analysis of network parameters that could contribute to differences in cognitive rule learning. These network parameters include differences in the parameters of synaptic modification and presynaptic inhibition of synaptic transmission that could be regulated by neuromodulatory influences on neural circuits. Neuromodulatory receptors play an important role in cognitive function, as demonstrated by the fact that drugs that block cholinergic muscarinic receptors can cause cognitive impairments. In discussions of the links between neuromodulatory systems and biologically based traits, the issue of mechanisms through which these linkages are realized is often missing. This model demonstrates potential roles of neural circuit parame...Continue Reading

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Citations

Jun 30, 2019·Journal of Cognitive Neuroscience·Holger DannenbergMichael E Hasselmo
Feb 28, 2018·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·I TrofimovaJ Uher
Feb 28, 2018·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Jana UherLouis A Schmidt
Jun 21, 2020·Neurobiology of Learning and Memory·Jason SherfeyNancy J Kopell
Sep 5, 2018·Neural Networks : the Official Journal of the International Neural Network Society·Henghui ZhuMichael E Hasselmo

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