The hippocampus plays a crucial role in consolidating episodic memories from diverse experiences that encompass spatial, temporal, and novel information. This study analyzed the spike patterns of hippocampal place cells in the CA3 and CA1 areas of male rats that sequentially foraged in five rooms, including familiar and novel rooms, followed by a rest period. Across the five rooms, both CA3 and CA1 place cells showed overlapping spatial representations. In a post-experience rest period, both CA3 and CA1 place cells increased baseline spike rates depending on the temporal distance from when the cells had place fields. In addition, CA3 place cells that encoded novel environments showed stronger sharp wave ripple reactivation. Coordinated reactivation of CA1 place cell ensembles that encoded temporally distant environments was eliminated. These results suggest that, following sequential experiences in multiple environments, increases in sharp wave ripple-induced spikes of hippocampal neurons more specifically process novelty-related aspects of memory, while global increases in baseline spike rates process temporal distance-related aspects. This study investigated how the hippocampus processes and stores memories from a series of experiences in different environments. While rats experienced familiar and novel rooms, both CA3 and CA1 neurons exhibited overlapping maps. In a post-experience rest period, these place cells increased baseline spike rates depending on the temporal distance from when the cells had place fields, suggesting processing of temporal distance-related aspects of memory. In addition, CA3 place cells that encoded novel environments specifically showed stronger reactivation during sharp wave ripples, suggesting processing of novelty-related aspects. These differential activation patterns reveal how the hippocampus integrates spatial, temporal, and novelty information from multiple experiences.

Hebbian synaptic plasticity is currently the main framework to relate neuronal activity, network structure, and learning and memory. However, recent experimental and computational modeling studies have revealed a new form of synaptic plasticity termed behavioral timescale synaptic plasticity (BTSP). It is triggered by dendritic plateau potentials associated with somatic burst firing, causes large changes in synaptic strength in a single shot, and operates on the timescale of seconds. Here we review the recent advances in our understanding of the circuit, cellular, and molecular mechanisms of BTSP, its prevalence in the brain, its role in shaping neuronal representations, and the emerging ideas regarding its contribution to different forms of learning.

How positive and negative affective stimuli interact in the brain to influence behavioral outcomes remains poorly understood. Here, we show that recall of a positively valenced reward-associated cue (reward-conditioned stimulus, CS+) can prevent or reverse fear generalization in mice. Modification of generalized fear by recall of a CS+ is dependent on the midbrain dopamine system and the regulation of discriminatory fear encoding by the central amygdala (CeA). Precisely timed, transient elevations in dopamine are necessary to reverse fear generalization and nondiscriminatory fear encoding in the CeA. Recall of a positive association is also effective at enhancing the extinction of a conditioned fear response in a dopamine-dependent manner. These data demonstrate that recall of a positive experience can be an effective means to suppress generalized fear and show that dopamine projections to the CeA are an important neural substrate for this phenomenon.

Work related to place tuning, spatial navigation, orientation and direction. Mainly includes articles on connectivity in the hippocampus, retrosplenial cortex, and related areas.

Basal Ganglia Advances is a collection highlighting research on the structure, function, and disorders of the basal ganglia. It features studies spanning neuroscience, clinical insights, and computational models, serving as a hub for advances in movement, cognition, and behavior.

Recent advances in the field of Voltage Imaging, with a special focus on new constructs and novel implementations.

Striatal dopamine (DA) release regulates reward-related learning and motivation and is believed to consist of a short-lived and continuous component. Here, we build a large-scale three-dimensional model of extracellular DA dynamics in dorsal (DS) and ventral striatum (VS). The model predicts rapid dynamics in DS with little to no basal DA and slower dynamics in the VS enabling build-up of DA levels. These regional differences do not reflect release-related phenomena but rather differential dopamine transporter (DAT) activity. Interestingly, our simulations posit DAT nanoclustering as a possible regulator of this activity. Receptor binding simulations show that D1 receptor occupancy follows extracellular DA concentration with milliseconds delay, while D2 receptors do not respond to brief pauses in firing but rather integrate DA signal over seconds. Summarised, our model distills recent experimental observations into a computational framework that challenges prevailing paradigms of striatal DA signalling.

Striatal output is dynamically modulated by cholinergic interneurons (CINs), the primary source of acetylcholine in the striatum. CINs have been classically viewed as a random and homogeneous population, but recent evidence suggests heterogeneity in their anatomical and functional organization. Here, using systematic mapping and quantitative spatial analyses, we found that-contrary to current dogma-CINs exhibited striking enrichment and nonrandom clustering in the striosome compartment, particularly in the lateral striatum. Similar analyses carried out for parvalbumin- and somatostatin-expressing interneurons revealed that compartmental organization is interneuron specific. The strong "striosome preference" exhibited by CINs was confined within striosome borders, not extending to the surrounding matrix. We further found that striosome and matrix CINs differed in their expression levels of phospho-S6 ribosomal protein-Ser240/244 and choline acetyltransferase, suggesting functional differences, and clustered CINs differed from unclustered CINs in their intrinsic membrane properties. Finally, CINs expressing Lhx6, which defines a distinct γ-aminobutyric acid (GABA) coreleasing population, were notably absent from regions where highly clustered striosomal CINs appeared. Collectively, our findings uncover important dimensions of CIN organization, suggesting that modulation of regional and compartmental striatal output may depend upon the spatial-functional heterogeneity of CINs.

Mitochondrial dysfunction and abnormalities in mitochondrial quality control contribute to the development of neurodegenerative diseases. Parkinson's disease is a neurodegenerative disease that causes motor problems mainly due to the loss of dopaminergic neurons in the substantia nigra pars compacta. Axonal mitochondria in neurons reportedly differ in properties and morphologies from mitochondria in somata or dendrites. However, the function and morphology of axonal mitochondria in human dopaminergic neurons remain poorly understood. To define the function and morphology of axonal mitochondria in human dopaminergic neurons, we newly generated tyrosine hydroxylase (TH) reporter (TH-GFP) induced pluripotent stem cell (iPSC) lines from one control and one PRKN-mutant patient iPSC lines and differentiated these iPSC lines into dopaminergic neurons in two-dimensional monolayer cultures or three-dimensional midbrain organoids. Immunostainings with antibodies against axonal and dendritic markers showed that axons could be better distinguished from dendrites of dopaminergic neurons in the peripheral area of three-dimensional midbrain organoids than in two-dimensional monolayers. Live-cell imaging and correlative light-electron microscopy in peripheral areas of midbrain organoids derived from control TH-GFP iPSCs demonstrated that axonal mitochondria in dopaminergic neurons had lower membrane potential and were shorter in length than those in non-dopaminergic neurons. Although the mitochondrial membrane potential did not significantly differ between dopaminergic and non-dopaminergic neurons derived from PRKN-mutant patient lines, these differences tended to be similar to those in control lines. These results were also largely consistent with those of our previous study on somatic mitochondria. The findings of the present study indicate that midbrain organoids are an effective tool to distinguish axonal from dendritic mitochondria in dopaminergic neurons. This may facilitate the analysis of axonal mitochondria to provide further insights into the mechanisms of dopaminergic neuron degeneration in patients with Parkinson's disease.