Browse the search results

Targeted manipulation of the locus coeruleus noradrenaline circuitry combined with extensive transcriptomic analyses in the mouse hippocampus reveal a unique set of noradrenaline-dependent, stress-related genes and point to astrocytic engagement.

A proposed model of optimal inference under cognitive costs accounts for human sequential effects, including subtle patterns of attractive and repulsive influence of past observations, in a binary prediction task across a wide range of stimulus conditions.

While neurotransmitters were discovered decades ago, evidence suggests that more transmitters are to be discovered using the presented approaches.

An experimental and computational system has been developed to investigate how wavelike gene expression patterns are generated during embryonic development.

Cost–benefit integration between the desirability of the expected reward and the imposed delay to delivery is supported by STN signals that dynamically combined both reward-related attributes to form a single integrated value estimate along an antero-posterior axis in this nucleus.

Predictive cognitive maps can be learned during behavior and replays using in spiking neurons.

A close approximation to the successor representation is learnt by a simple spike-time-dependent learning rule between cells undergoing theta phase precession.

Drift diffusion models suggest that dopamine affects dissociable components of the decision process in intertemporal choice, underlining the importance of analyzing the effects of neural interventions with process models.

A new type of biologically constrained spiking neural network model applied to the dorsal raphe nucleus shows that the output of the serotonin system reflects not just its raw input, but mainly how quickly its input changes over time.