The neural representation of position in the medial entorhinal cortex may be stabilized by synaptic connectivity across modules, which enforces coherent updates in their states.
The BB model explains spatial cognition in terms of interactions between specific neuronal populations, providing a common computational framework for the human neuropsychological and in vivo animal electrophysiological literatures.
The visual message conveyed by retinal neurons to the brain when signaling natural scenes resembles the individual receptive fields only when viewed in context of the neuronal population.
A novel neural mechanism for precise, unbiased estimation of time intervals in the thalamus of electric fish is likely used for computing distance between object encounters.
Task representations emerge rapidly throughout human cortex, with parallel object representations in occipitotemporal cortex that are increasingly dominated by task in higher visual areas.
Comparison of the intracellular activity of hippocampal neurons in novel and familiar environments reveals experience-dependent changes in inputs underlying the formation of stable representations of space.
Enhanced hippocampal-cortical network communication during memory retrieval flexibly tracks the quality and content of memories for complex past events.
Neurons in the macaque posterior parietal cortex behave like an error detector that computes the saccadic error by comparing the intended and the actual saccade end-position signals.
