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Pillar, V.

Publications and source records attributed to Pillar, V..

2 recordsLinked to original sources

Cholinergic--dopaminergic interplay underlies prediction error broadcasting

Neuromodulatory systems, notably basal forebrain cholinergic and midbrain dopaminergic pathways, critically influence reinforcement learning 1-3. However, whether and how they cooperate or compete to jointly control associative learning functions remains unresolved. Here we demonstrate that basal forebrain cholinergic and midbrain dopaminergic projection systems form a coordinated and cross-regulating architecture for encoding prediction errors. Using dual-cell-type optogenetic tagging and real-time neurotransmitter measurements in mice performing a psychometric operant learning task, we simultaneously monitored cholinergic and dopaminergic activity during learning. Dopamine and acetylcholine jointly encoded reward prediction errors synergistically following reward and reward-predicting stimuli. In contrast, aversive outcomes elicited opposite responses in cholinergic neurons and approximately half of dopaminergic neurons. Activity in these two populations exhibited negative trial-by-trial correlations, revealing antagonistic dynamics. Consistently, channelrhodopsin-assisted circuit mapping uncovered a disynaptic inhibitory pathway from cholinergic to dopaminergic neurons. Chemogenetic suppression of cholinergic activity disrupted dopaminergic prediction error signaling, reduced punishment-induced suppression of dopamine release, and impaired learning. These results demonstrate that prediction error signaling is jointly implemented by coordinated interactions between major neuromodulatory systems, challenging the prevailing view of their functional independence and revealing coordinated cross-system interactions as an organizing principle of reinforcement learning, with implications for neuropsychiatric disease 4-6.

neuroscience↗

Climate influences the response of community functional traits to local conditions

Functional traits determine an organisms performance in a given environment and as such determine which organisms will be found where. Species respond to local conditions, but also to larger scale gradients, such as climate. Trait ecology links these responses of species to community composition and species distributions. Yet, we often do not know which environmental gradients are most important in determining community trait composition at either local or biogeographical scales, or their interaction. Here we quantify the relative contribution of local and climatic conditions to the structure and composition of functional traits found within bromeliad invertebrate communities. We conclude that climate explains more variation in invertebrate trait composition within bromeliads than does local conditions. Importantly, climate mediated the response of traits to local conditions; for example, invertebrates with benthic life-history traits increased with bromeliad water volume only under certain precipitation regimes. Our ability to detect this and other patterns hinged on the compilation of multiple fine-grained datasets, allowing us to contrast the effect of climate vs. local conditions. We suggest that, in addition to sampling communities at local scales, we need to aggregate studies that span large ranges in climate variation in order to fully understand trait filtering at local, regional and global scales.

ecology↗