Browse the search results

Major neuronal subtypes in M1 show differential responses to reward and reward-associated stimuli and undergo cell-type-specific plasticity following associative learning.

Muscarinic acetylcholine receptor type A in adult Drosophila inhibits Kenyon cells, and is required for aversive olfactory learning and learning-associated synaptic depression between Kenyon cells and their output neurons.

GluA4-containing AMPA receptors are required for effective excitation of cerebellar granule cells and enable expansion coding and associative learning.

The optogenetic manipulation of hippocampal neuronal circuit activity revealed plastic changes of pyramidal-interneuron connections in behaving animals, which were primarily governed by the firing rate change of postsynaptic interneurons.

Odor conditioning induces two changes in olfactory neurons: non-associative sensory adaptation to odor history, and associative, bidirectional changes in behavioral output that are oppositely regulated in aversive and appetitive learning.

A map of the entire array of cell types and potential projections in the mushroom body of the fruit fly brain provides insights into the circuitry that supports learning of stimulus-reward and stimulus–punishment associations.

Computational modeling suggests that the BLA is capable of producing the recorded LFP rhythms via interactions of interneuron subtypes, and that those rhythms may be necessary for associative learning.

Synaptic modulations alone imbue networks with computational capabilities comparable to recurrent connections on several neuroscience-relevant tasks, which manifest in fundamentally different neuronal dynamics.

Functional connectivity in the human brain reflects changes in synaptic plasticity induced with repeated paired stimulation.

Despite ongoing rewiring and continuous turnover of synapses, a computational model shows that memories can maintain and even strengthen their connectivity by self-reactivating during periods without sensory input.