It has been shown that in the CA1 region of the hippocampus, dopamine modulates memory functions by influencing spike-timing-dependent plasticity (STDP) and intrinsic neuronal properties. Although experimental findings have suggested potential mechanisms, their detailed interplay remains incompletely understood. Here, using a realistic CA1 pyramidal neuron model, we have investigated the possible effects of dopaminergic modulation on a neuron's signal integration and synaptic plasticity processes. The results suggest a physiological plausible explanation for the puzzling experimental observation that long-term potentiation (LTP) increases in spite of a reduction in the neuron's excitability, and explains why physiological dopamine levels are necessary for LTP induction. The model suggests experimentally testable predictions on which ion channel kinetic properties can modulate the interplay between synaptic plasticity and neuronal excitability, thereby identifying potential molecular targets for therapeutic intervention.

By recording large populations of neurons in flying bats, two recent studies have observed sequential activities in the hippocampus that represent ongoing spatial trajectories during movement and recently experienced trajectories during rest, analogous to 'theta sweeps' and 'replay' previously described in rodents.

In temporal lobe epilepsy, interictal spikes (IS) - hyper-synchronous bursts of network activity - occur at high rates in between seizures. We sought to understand the influence of IS on working memory by recording hippocampal local field potentials from male epileptic mice while they performed a delayed alternation task. Interestingly, the rate of IS during behavior did not correlate with performance. Instead, we found that IS were correlated with worse performance when they were spatially non-restricted and occurred during running. In contrast, when IS were clustered at reward locations, animals tended to perform well. A machine learning decoding approach revealed that IS at reward sites were larger than IS elsewhere on the maze, and could be classified as occurring at specific reward locations. Finally, a spiking neural network model revealed that spatially clustered IS preserved hippocampal replay, while spatially dispersed IS disrupted replay by causing over-generalization. Together, these results show that the spatial specificity of IS on the maze, but not rate, correlates with working memory deficits. In people with epilepsy, the hippocampus can generate large electrical discharges in the period between seizures called interictal spikes. Previous studies have proposed that interictal spikes cause memory impairments. We use a mouse model of epilepsy and computer simulations to study how interictal spikes impact navigation to remembered rewards. We find that when interictal spikes occur uncontrollably throughout the maze memory performance is worse, and in contrast, when they are sequestered to reward locations memory performance is better. Together our results show that interictal spikes are correlated with corrupted memory depending on when and where they occur during learning.

Disinhibitory neurons throughout the mammalian cortex are powerful enhancers of circuit excitability and plasticity. The differential expression of neuropeptide receptors in disinhibitory, inhibitory, and excitatory neurons suggests that each circuit motif may be controlled by distinct neuropeptidergic systems. Here, we reveal that a bombesin-like neuropeptide, gastrin-releasing peptide (GRP), recruits disinhibitory cortical microcircuits through selective targeting and activation of vasoactive intestinal peptide (VIP)-expressing cells. Using a genetically encoded GRP sensor, optogenetic anterograde stimulation, and trans-synaptic tracing, we reveal that GRP regulates VIP cells most likely via extrasynaptic diffusion from several local and long-range sources. In vivo photometry and CRISPR-Cas9-mediated knockout of the GRP receptor (GRPR) in auditory cortex indicate that VIP cells are strongly recruited by novel sounds and aversive shocks, and GRP-GRPR signaling enhances auditory fear memories. Our data establish peptidergic recruitment of selective disinhibitory cortical microcircuits as a mechanism to regulate fear memories.

Every explored environment is represented in the hippocampus by the activity of distinct populations of pyramidal cells (PCs) that typically fire at specific locations called their place fields (PFs). New PFs are constantly born even in familiar surroundings (during representational drift), and many rapidly emerge when the animal explores a new or altered environment (during global or partial remapping). Behavioral time scale synaptic plasticity (BTSP), a plasticity mechanism based on prolonged somatic action potential (AP) bursts induced by dendritic Ca2+/NMDA plateau potentials, was recently proposed as the main cellular mechanism underlying new PF formations (PFF), but it is unclear whether burst-associated large somatic [Ca2+] transients are always necessary and/or sufficient for PFF. To address this issue, here we performed in vivo two-photon [Ca2+] imaging of hippocampal CA1 PCs in head-restrained mice to investigate somatic [Ca2+] dynamics underlying PFFs in familiar and novel virtual environments. Our results demonstrate that although many PFs are formed by BTSP-like events, PFs also emerge with initial [Ca2+] dynamics that do not match any of the characteristics of BTSP. BTSP and non-BTSP-like new PFFs occur spontaneously in familiar environments, during neuronal representational switches and instantaneously in new environments. Our data also reveal that solitary [Ca2+] transients with larger amplitudes than those evoking BTSP-like PFFs, frequently occur without inducing PFs, demonstrating that large [Ca2+] transients per se are not sufficient for PFF.

In the hippocampal formation, cholinergic modulation from the medial septum/diagonal band of Broca (MSDB) is known to correlate with the speed of an animal's movements at sub-second timescales and also supports spatial memory formation. Yet, the extent to which sub-second cholinergic dynamics, if at all, align with transient behavioral and cognitive states supporting the encoding of novel spatial information remains unknown. In this study, we used fiber photometry to record the temporal dynamics in the population activity of septo-hippocampal cholinergic neurons at sub-second resolution during a hippocampus-dependent object location memory task using ChAT-Cre mice of both sexes. Using a linear mixed-effects model, we quantified the extent to which cholinergic dynamics were explained by changes in movement speed, behavioral states such as locomotion, grooming, and rearing, and hippocampus-dependent cognitive states such as recognizing a novel location of a familiar object. The data show that cholinergic dynamics contain a multiplexed code of fast and slow signals i) coding for the logarithm of movement speed at sub-second timescales, ii) providing a phasic spatial novelty signal during the brief periods of exploring a novel object location, and iii) coding for recency of environmental change at a seconds-long timescale. Furthermore, behavioral event-related phasic cholinergic activity demonstrates that fast cholinergic transients correlate with a switch in cognitive and behavioral states. These findings enhance understanding of the mechanisms by which cholinergic modulation contributes to the coding of movement speed and encoding of novel spatial information. Acetylcholine is well known as a neuromodulator of cognitive functions and behavior, and computational models suggest an important role in the encoding of new memories. However, whether cholinergic dynamics are fast enough to serve as a spatial novelty signal is unknown. Here, we demonstrate that cholinergic signaling in the septo-hippocampal circuitry of mice exhibits multiple timescales of activity, where fast signals reflect the detection of novel object locations, encode the logarithm of movement speed, and correlate with behavioral state transitions. At longer timescales, cholinergic transients encode recency of environmental change. These findings provide important insights into the mechanisms by which acetylcholine contributes to encoding and retrieval dynamics and the acquisition of spatial memories during exploratory behavior and memory-guided navigation.

Traditional views of hippocampal function are largely based on the canonical flow of information from the entorhinal cortex through the trisynaptic loop-comprising the dentate gyrus and cornu ammonis regions CA3 and CA1-and back to cortex, where the hippocampus plays an important role in transforming relevant information into a usable storage system. This classic circuit has inspired current thinking on hippocampal functions related to learning, memory, and spatial navigation, but the potential functional contributions of other hippocampal areas, such as CA2, the fasciola cinereum, and the indusium griseum, and their integration of a major hypothalamic input, have been overlooked. These understudied circuits and nontraditional network dynamics such as dentate spikes have recently begun to yield fresh insights into unconventional circuit computations that extend the repertoire of hippocampal function beyond current models.

The ability to form, retrieve and update autobiographical memories is one of the most fascinating features of human behavior. Spatial memory, the ability to remember the layout of the external environment and to navigate within its boundaries, is closely related to the autobiographical memory domain. It is served by an overlapping brain circuit, centered around the hippocampus (HPC) where the cognitive map index is stored. Apart from the hippocampus, several cortical structures participate in this process. Their relative contribution is a subject of intense research in both humans and animal models. One of the most widely studied regions is the retrosplenial cortex (RSC), an area in the parietal lobe densely interconnected with the hippocampal formation. Several methodological approaches have been established over decades in order to investigate the cortical aspects of memory. One of the most successful techniques is based on the analysis of brain expression patterns of the immediate early genes (IEGs). The common feature of this diverse group of genes is fast upregulation of their mRNA translation upon physiologically relevant stimulus. In the central nervous system they are rapidly triggered by neuronal activity and plasticity during learning. There is a widely accepted consensus that their expression level corresponds to the engagement of individual neurons in the formation of memory trace. Imaging of the IEGs might therefore provide a picture of an emerging memory engram. In this review we present the overview of IEG mapping studies of retrosplenial cortex in rodent models. We begin with classical techniques, immunohistochemical detection of protein and fluorescent in situ hybridization of mRNA. We then proceed to advanced methods where fluorescent genetically encoded IEG reporters are chronically followed in vivo during memory formation. We end with a combination of genetic IEG labelling and optogenetic approach, where the activity of the entire engram is manipulated. We finally present a hypothesis that attempts to unify our current state of knowledge about the function of RSC.

Gain modulation allows neurons to dynamically adjust their responsiveness to inputs without changing selectivity. While well-characterized in sensory areas, its role in higher-order brain regions governing spatial navigation and memory is unclear. Here, we used all-optical methods in mice performing a spatial task to demonstrate that vasoactive-intestinal peptide (VIP)-expressing neurons selectively control the gain of place cells and other cell types in the retrosplenial cortex (RSC) through disinhibition. Optogenetic manipulation revealed that this disinhibition, while broadly affecting network activity, selectively amplifies in-field place cell activity, improving spatial coding accuracy. In contrast, VIP neurons in the hippocampus have minimal impact on place field gain. Notably, simulations indicate that the benefit of gain modulation for RSC place cells is large compared to hippocampal place cells due to their much higher out-of-field activity and, therefore, lower signal-to-noise ratio. Here, we show an area-specific VIP-mediated gain control, enhancing spatial coding and, potentially, memory formation.

Hippocampal place cells (PCs) are important for spatial coding and episodic memory. PCs' representations are modulated upon transitioning between environments (global remapping) but also change with repeated exposure to familiar spaces (representational drift). To gain insights into the mechanistic basis for this unique balance between circuit plasticity and stability, we used voltage imaging to longitudinally record the subthreshold and spiking activity of pyramidal neurons (PNs) and somatostatin-positive (SST) interneurons in CA1 during virtual navigation. A fraction of cells from both populations showed spatial representations, but many SSTs were speed-tuned or fired uniformly across space. Intracellular recordings revealed increased theta power and asymmetric ramp-like depolarization in PN place fields, while SSTs exhibited symmetric depolarization with no theta increase. Longitudinal recordings across weeks demonstrated representational drifts in both populations, although SSTs exhibited remarkably stable firing and subthreshold properties. Transition to a novel environment induced remapping in both populations, accompanied by increase in SST activity and reduction in PNs. These results provide new insights into how hippocampal circuits balance representational stability with experience-dependent plasticity.

Theta oscillation is considered a temporal scaffold for hippocampal computations that organizes the activity of spatially tuned cells known as place cells. Late phases of theta support prospective spatial representation via phase 'precession'. In contrast, some studies have hypothesized that early phases of theta may subserve both retrospective spatial representation via phase 'procession' and the encoding of new associations. Here, combining virtual reality, electrophysiology and computational modeling, we provide experimental evidence for such a functionally multiplexed phase code and describe how distinct spatial inputs control its manifestation. Specifically, when rats continuously learned new associations between external landmark (allothetic) cues and self-motion (idiothetic) cues, phase 'precession' remained intact, allowing continuous prediction of future positions. Conversely, phase 'procession' was diminished, matching the putative role in encoding at the early theta phase. This multiplexed phase code may serve as a general circuit logic for alternating different computations at a sub-second scale.

While cognitive function remains stable for majority of the lifespan, many functions sharply decline in later life. Women have higher rates of neurodegenerative diseases that involve memory loss, including Alzheimer's disease. This sex disparity may be due to longer life expectancies when compared to men; women outlive men by roughly 5 years globally. Despite this, most preclinical work compares aged male rodents to young adult counterparts, making it difficult to determine the relative contributions of advanced age and sex to memory function and neurodegeneration. We used male and female rats throughout old age (PND590-734) to examine the extent to which both sex and advanced age would impact trace fear memory and associated neural changes, including expression of the immediate early gene zif268, perineuronal nets (PNN) amount, and lysine-48 (K48) polyubiquitin protein tagging in brain regions necessary for trace fear memory: the prelimbic cortex (PL), the dorsal hippocampus (DH), and the basolateral amygdala (BLA). While both advanced age and biological sex impacted trace fear memory, they had no effect on acquisition or context fear retrieval. Advanced age was associated with decreased zif268 expression in the PL and DH, while biological sex had no influence. PNN amount corresponded with advanced aged in the PL, but not in the DH or BLA, and was not influenced by sex. Neither biological sex nor advanced age impacted K48 polyubiquitin levels in any region. Overall, these results suggest that advanced age has a more pronounced effect on memory impairment and associated neural changes than biological sex.

The lateral prefrontal cortex (LPFC) serves as a critical hub for higher-order cognitive and executive functions in the human brain, coordinating brain networks whose disruption has been implicated in many neurological and psychiatric disorders. While transcranial brain stimulation treatments often target the LPFC, our current understanding of connectivity profiles guiding these interventions based on electrophysiology remains limited. Here, we present a high-resolution probabilistic map of bidirectional effective connectivity between the LPFC and widespread cortical and subcortical regions. This map is derived from intracranial evoked potential analysis of 48,797 intracranial direct electrical stimulation runs across 759 implantations in 724 patients with refractory epilepsy (368 male, 354 female, two unspecified; mean age 24±13.5 years). We mapped probabilistic connectivity between brain parcels with adaptive resolution - higher resolution in the LPFC in the hemisphere of interest and lower elsewhere - maintaining statistical power while achieving 95% average confidence interval of ∼0.03 for connectivity probability estimates. In addition, the significance threshold (p-value) for probabilistic connectivity was obtained from surrogate distributions. Overall, we observed remarkable symmetry between afferent and efferent connectivity patterns of the LPFC, with a slight preference for efferent connections (mean slope = 0.92±0.09, mean R² = 0.93±0.025). For example, connections between the inferior frontal gyrus (IFG) and anterior cingulate showed notable directional asymmetry. The IFG strongly projected to most brain networks compared to other LPFC regions, with the strongest connectivity to the ventral attention network (0.26±0.01 compared to values between 0.15 and 0.21 in other LPFC regions). Posterior DLPFC demonstrated stronger connectivity to brain networks compared to anterior DLPFC regions (eg. 0.21±0.01 vs 0.15±0.01 for connectivity to ventral attention network), with the exception of the limbic cortex. All LPFC subregions strongly projected to the fronto-parietal (greater than 0.17) and ventral attention (greater than 0.15) networks, with moderate connections to the default network (between 0.1 and 0.15, with the maximum corresponding to superior DLPFC). Finally, latency analysis suggested that the left LPFC's influence on ipsilateral emotion-related regions is primarily polysynaptic, with particularly strong pathways from IFG to amygdala (0.16±0.02) and hippocampus (0.12±0.01). Taken together, these comprehensive connectivity maps provide a new detailed electrophysiological foundation for understanding the functional anatomy of LPFC and guiding targeted brain stimulation protocols.