The rodent hippocampus represents different spatial environments distinctly via changes in the pattern of “place cell” firing. It remains unclear, though, how spatial remapping in rodents relates more generally to human memory. Here participants retrieved four virtual reality environments with repeating or novel landmarks and configurations during high-resolution functional magnetic resonance imaging (fMRI). Both neural decoding performance and neural pattern similarity measures revealed environment-specific hippocampal neural codes. Conversely, an interfering spatial environment did not elicit neural codes specific to that environment, with neural activity patterns instead resembling those of competing environments, an effect linked to lower retrieval performance. We find that orthogonalized neural patterns accompany successful disambiguation of spatial environments while erroneous reinstatement of competing patterns characterized interference errors. These results provide the first evidence for environment-specific neural codes in the human hippocampus, suggesting that pattern separation/completion mechanisms play an important role in how we successfully retrieve memories.DOI: http://dx.doi.org/10.7554/eLife.10499.001

The unique circuitry of the hippocampus is thought to support the encoding and retrieval of context-rich episodic memories. Given the neuroanatomical differences between the hippocampal subfields, determining their functional roles during representation of contextual features in humans is an important yet unaddressed research goal. Prior studies suggest that during the acquisition of information from the environment, the dentate gyrus (DG) and CA3 subfields rapidly differentiate competing contextual representations, whereas CA1, situated downstream from CA3/DG, is believed to process input from both CA3 and neocortical areas via the temporoammonic pathway. To further explore the functionality of these roles, we used high-resolution fMRI to investigate multivariate response patterns within CA3/DG and CA1 during the processing of spatial context. While undergoing functional imaging, participants viewed videos of virtual environments and were asked to discriminate between similar, yet geometrically distinct cities. We manipulated a single contextual feature by systematically morphing the city configurations from one common geometric shape to another, resulting in four cities—two distinctively shaped cities and two intermediate “morphed” cities. Pattern similarity within CA3/DG scaled with geometric changes to the environment. In contrast, CA1 pattern similarity, as well as interregional pattern similarity between CA1 and parahippocampal cortex, increased for the regularly shaped configurations compared to the morphs. These results highlight different roles for subfields CA3/DG and CA1 in memory and advance our understanding of how subcomponents of the human hippocampal circuit represent contextual features of memories.

Current evidence strongly supports the central involvement of the human medial temporal lobes (MTL) in storing and retrieving memories for recently experienced events. However, a critical remaining question regards exactly how the hippocampus and surrounding cortex represents spatiotemporal context defining an event in memory. Competing accounts suggest that this process may be accomplished by the following: (1) an overall increase in neural similarity of representations underlying spatial and temporal context, (2) a differentiation of competing spatiotemporal representations, or (3) a combination of the two processes, with different subregions performing these two functions within the MTL. To address these competing proposals, we used high-resolution functional magnetic resonance imaging targeting the MTL along with a multivariate pattern similarity approach with 19 participants. While undergoing imaging, participants performed a task in which they retrieved spatial and temporal contextual representations from a recently learned experience. Results showed that successfully retrieving spatiotemporal context defining an episode involved a decrease in pattern similarity between putative spatial and temporal contextual representations in hippocampal subfields CA2/CA3/DG, whereas the parahippocampal cortex (PHC) showed the opposite pattern. These findings could not be accounted for by differences in univariate activations for complete versus partial retrieval nor differences in correlations for correct or incorrect retrieval. Together, these data suggest that the CA2/CA3/DG serves to differentiate competing contextual representations, whereas the PHC stores a comparatively integrated trace of scene-specific context, both of which likely play important roles in successful episodic memory retrieval.

While numerous studies indicate the involvement of the hippocampus in encoding and retrieval of spatial and temporal context, the neural basis of spatial and temporal processing within the hippocampal circuit remains unclear. We employed a novel paradigm in which participants encoded stores within a spatial layout by visiting them in a specific temporal order. Participants then underwent high-resolution functional magnetic resonance imaging (fMRI) targeting the hippocampus while retrieving details of the spatial or temporal context in alternating blocks. During retrieval, participants made judgments about either near or far intervals within the spatial layout or temporal sequence. Across both near and far intervals, we found that retrieving spatial layout and temporal order information resulted in comparable levels of activation in the hippocampus that was not preferentially localized to a specific subfield. Furthermore, using a multivariate approach called multivariate pattern similarity analysis (MPSA), we found that correct near judgments vs. correct far judgments differed in their patterns of activity for spatial vs. temporal order judgments. Despite these differences in MPSA patterns, we did not find any specific subfields differentially recruited for spatial vs. temporal order retrieval. We discuss our results in terms of their relation to computational models of hippocampal subfield function and suggest mechanisms by which the hippocampus could process space and temporal order without the need for specific contributions from hippocampal subfields.

Research into the behavioral and neural correlates of spatial cognition and navigation has benefited greatly from recent advances in virtual reality (VR) technology. Devices such as head-mounted displays (HMDs) and omnidirectional treadmills provide research participants with access to a more complete range of body-based cues, which facilitate the naturalistic study of learning and memory in three-dimensional (3D) spaces. One limitation to using these technologies for research applications is that they almost ubiquitously require integration with video game development platforms, also known as game engines. While powerful, game engines do not provide an intrinsic framework for experimental design and require at least a working proficiency with the software and any associated programming languages or integrated development environments (IDEs). Here, we present a new asset package, called Landmarks, for designing and building 3D navigation experiments in the Unity game engine. Landmarks combines the ease of building drag-and-drop experiments using no code, with the flexibility of allowing users to modify existing aspects, create new content, and even contribute their work to the open-source repository via GitHub, if they so choose. Landmarks is actively maintained and is supplemented by a wiki with resources for users including links, tutorials, videos, and more. We compare several alternatives to Landmarks for building navigation experiments and 3D experiments more generally, provide an overview of the package and its structure in the context of the Unity game engine, and discuss benefits relating to the ongoing and future development of Landmarks.