Generative replay underlies compositional inference in the hippocampal-prefrontal circuit.

Human reasoning depends on reusing pieces of information by putting them together in new ways. However, very little is known about how compositional computation is implemented in the brain. Here, we ask participants to solve a series of problems that each require constructing a whole from a set of elements. With fMRI, we find that representations of novel constructed objects in the frontal cortex and hippocampus are relational and compositional. With MEG, we find that replay assembles elements into compounds, with each replay sequence constituting a hypothesis about a possible configuration of elements. The content of sequences evolves as participants solve each puzzle, progressing from predictable to uncertain elements and gradually converging on the correct configuration. Together, these results suggest a computational bridge between apparently distinct functions of hippocampal-prefrontal circuitry and a role for generative replay in compositional inference and hypothesis testing.

The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation.

The hippocampal-entorhinal system is important for spatial and relational memory tasks. We formally link these domains, provide a mechanistic understanding of the hippocampal role in generalization, and offer unifying principles underlying many entorhinal and hippocampal cell types. We propose medial entorhinal cells form a basis describing structural knowledge, and hippocampal cells link this basis with sensory representations. Adopting these principles, we introduce the Tolman-Eichenbaum machine (TEM). After learning, TEM entorhinal cells display diverse properties resembling apparently bespoke spatial responses, such as grid, band, border, and object-vector cells. TEM hippocampal cells include place and landmark cells that remap between environments. Crucially, TEM also aligns with empirically recorded representations in complex non-spatial tasks. TEM also generates predictions that hippocampal remapping is not random as previously believed; rather, structural knowledge is preserved across environments. We confirm this structural transfer over remapping in simultaneously recorded place and grid cells.

Transferring structural knowledge across cognitive maps in humans and models.

Relations between task elements often follow hidden underlying structural forms such as periodicities or hierarchies, whose inferences fosters performance. However, transferring structural knowledge to novel environments requires flexible representations that are generalizable over particularities of the current environment, such as its stimuli and size. We suggest that humans represent structural forms as abstract basis sets and that in novel tasks, the structural form is inferred and the relevant basis set is transferred. Using a computational model, we show that such representation allows inference of the underlying structural form, important task states, effective behavioural policies and the existence of unobserved state-trajectories. In two experiments, participants learned three abstract graphs during two successive days. We tested how structural knowledge acquired on Day-1 affected Day-2 performance. In line with our model, participants who had a correct structural prior were able to infer the existence of unobserved state-trajectories and appropriate behavioural policies.

What Is a Cognitive Map? Organizing Knowledge for Flexible Behavior.

It is proposed that a cognitive map encoding the relationships between entities in the world supports flexible behavior, but the majority of the neural evidence for such a system comes from studies of spatial navigation. Recent work describing neuronal parallels between spatial and non-spatial behaviors has rekindled the notion of a systematic organization of knowledge across multiple domains. We review experimental evidence and theoretical frameworks that point to principles unifying these apparently disparate functions. These principles describe how to learn and use abstract, generalizable knowledge and suggest that map-like representations observed in a spatial context may be an instance of general coding mechanisms capable of organizing knowledge of all kinds. We highlight how artificial agents endowed with such principles exhibit flexible behavior and learn map-like representations observed in the brain. Finally, we speculate on how these principles may offer insight into the extreme generalizations, abstractions, and inferences that characterize human cognition.

Theta-paced flickering between place-cell maps in the hippocampus: A model based on short-term synaptic plasticity.

Hippocampal place cells represent different environments with distinct neural activity patterns. Following an abrupt switch between two familiar configurations of visual cues defining two environments, the hippocampal neural activity pattern switches almost immediately to the corresponding representation. Surprisingly, during a transient period following the switch to the new environment, occasional fast transitions between the two activity patterns (flickering) were observed (Jezek, Henriksen, Treves, Moser, & Moser, ). Here we show that an attractor neural network model of place cells with connections endowed with short-term synaptic plasticity can account for this phenomenon. A memory trace of the recent history of network activity is maintained in the state of the synapses, allowing the network to temporarily reactivate the representation of the previous environment in the absence of the corresponding sensory cues. The model predicts that the number of flickering events depends on the amplitude of the ongoing theta rhythm and the distance between the current position of the animal and its position at the time of cue switching. We test these predictions with new analysis of experimental data. These results suggest a potential role of short-term synaptic plasticity in recruiting the activity of different cell assemblies and in shaping hippocampal activity of behaving animals.

"We make the path by walking it": building an academic community partnership with Boston Chinatown.

BACKGROUND: The potential for academic community partnerships are challenged in places where there is a history of conflict and mistrust. Addressing Disparities in Asian Populations through Translational Research (ADAPT) represents an academic community partnership between researchers and clinicians from Tufts Medical Center and Tufts University and community partners from Boston Chinatown. Based in principles of community-based participatory research and partnership research, this partnership is seeking to build a trusting relationship between Tufts and Boston Chinatown. OBJECTIVES: This case study aims to provides a narrative story of the development and formation of ADAPT as well as discuss challenges to its future viability. METHODS: Using case study research tools, this study draws upon a variety of data sources including interviews, program evaluation data and documents. RESULTS: Several contextual factors laid the foundation for ADAPT. Weaving these factors together helped to create synergy and led to ADAPT's formation. In its first year, ADAPT has conducted formative research, piloted an educational program for community partners and held stakeholder forums to build a broad base of support. CONCLUSIONS: ADAPT recognizes that long term sustainability requires bringing multiple stakeholders to the table even before a funding opportunity is released and attempting to build a diversified funding base.

Population spikes in cortical networks during different functional states.

Brain computational challenges vary between behavioral states. Engaged animals react according to incoming sensory information, while in relaxed and sleeping states consolidation of the learned information is believed to take place. Different states are characterized by different forms of cortical activity. We study a possible neuronal mechanism for generating these diverse dynamics and suggest their possible functional significance. Previous studies demonstrated that brief synchronized increase in a neural firing [Population Spikes (PS)] can be generated in homogenous recurrent neural networks with short-term synaptic depression (STD). Here we consider more realistic networks with clustered architecture. We show that the level of synchronization in neural activity can be controlled smoothly by network parameters. The network shifts from asynchronous activity to a regime in which clusters synchronized separately, then, the synchronization between the clusters increases gradually to fully synchronized state. We examine the effects of different synchrony levels on the transmission of information by the network. We find that the regime of intermediate synchronization is preferential for the flow of information between sparsely connected areas. Based on these results, we suggest that the regime of intermediate synchronization corresponds to engaged behavioral state of the animal, while global synchronization is exhibited during relaxed and sleeping states.

Physical model of the dynamic instability in an expanding cell culture.

Collective cell migration is of great significance in many biological processes. The goal of this work is to give a physical model for the dynamics of cell migration during the wound healing response. Experiments demonstrate that an initially uniform cell-culture monolayer expands in a nonuniform manner, developing fingerlike shapes. These fingerlike shapes of the cell culture front are composed of columns of cells that move collectively. We propose a physical model to explain this phenomenon, based on the notion of dynamic instability. In this model, we treat the first layers of cells at the front of the moving cell culture as a continuous one-dimensional membrane (contour), with the usual elasticity of a membrane: curvature and surface-tension. This membrane is active, due to the forces of cellular motility of the cells, and we propose that this motility is related to the local curvature of the culture interface; larger convex curvature correlates with a stronger cellular motility force. This shape-force relation gives rise to a dynamic instability, which we then compare to the patterns observed in the wound healing experiments.

Effect of valproate derivatives on human brain myo-inositol-1-phosphate (MIP) synthase activity and amphetamine-induced rearing.

We have recently shown that valproate (VPA) decreases intracellular concentrations of inositol, like lithium but via a different mechanism, namely by inhibiting myo-inositol-1-phosphate (MIP) synthase. Valnoctamide (VCD) and valrocemide (VGD) are VPA derivatives which are anticonvulsants and have been shown in animal models to be significantly less teratogenic than VPA. We now show that 1 mM of either VCD or VGD drastically inhibits human brain crude homogenate MIP synthase activity. We studied the mechanism of the effect of VCD and found that it reduced the enzyme activity by an apparent competitive mode of inhibition at concentrations within the therapeutic range of VPA(Ki = 0.18 mM). We studied the behavioral effect of VGD and found that both lithium and VGD attenuated amphetamine-induced increase in rearing. These data support clinical study of these VPA-derivatives in bipolar disorder.

On parallel and antiparallel topology of a homodimeric multidrug transporter.

The recently suggested antiparallel topology of EmrE has intriguing implications for many aspects of the biology of ion-coupled transporters. However, it is at odds with biochemical data that demonstrated the same topology for all protomers in the intact cell and with extensive cross-linking studies. To examine this apparent contradiction we chemically cross-linked dimers with a rigid bifunctional maleimide using Cys replacements at positions not permissible by an antiparallel topology. A purified cross-linked dimer binds substrate and transports it in proteoliposomes with kinetic constants similar to those of the non-cross-linked dimer. The cross-linked dimers do not interact with non-cross-linked dimers as judged from the fact that inactive mutants do not affect their activity (negative dominance). The results support the contention that EmrE with parallel topology is fully functional. We show that the detergents used in crystallization increase the fraction of monomers in solution. We suggest that the antiparallel orientation observed is a result of the arrangement of the monomers in the crystal. Functionality of EmrE with the suggested antiparallel orientation of the monomers remains to be characterized.