Optogenetic Dissection of Entorhinal-Hippocampal Functional Connectivity

Zhang, Sheng-Jia; Ye, Jing; Miao, Changxing; Tsao, Albert; Cerniauskas, Ignas; Ledergerber, Debora; Moser, May‐Britt; Moser, Edvard I

doi:10.1126/science.1232627

Cited by 240 publications

(296 citation statements)

References 62 publications

(89 reference statements)

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“…In these studies, the majority of layer II grid cells had stellatespecific morphological and electrophysiological properties. The suggestion that many grid cells are stellate cells is consistent with the fact that (i) stellate cells are the main origin of the layer II projections to dentate gyrus and CA3 149,150 , and (ii) grid cells are abundant among hippocampus-projecting MEC neurons 146,151 . Yet these observations do not rule out that some grid cells are pyramidal cells.…”

Section: Uniqueness Of the Entorhinal Grid Networksupporting

confidence: 57%

Grid cells and cortical representation

et al. 2014

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One of the grand challenges in neuroscience is to comprehend neural computation in the association cortices, the parts of the cortex that have shown the largest expansion and differentiation during mammalian evolution and that are thought to contribute so profoundly to the emergence of advanced cognition in humans. In this review, we will use grid cells in the medial entorhinal cortex as a gateway to understanding network computation at a stage of cortical processing where firing patterns are shaped not primarily by incoming sensory signals but to a large extent by intrinsic properties of the local circuit.

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Section: Uniqueness Of the Entorhinal Grid Networksupporting

confidence: 57%

Grid cells and cortical representation

et al. 2014

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“…Alternatively, place cells may be generated from other classes of spatially modulated cells, such as border cells, which have adult-like properties from the very first day of exploration outside the nest (Bjerknes et al 2014). Retrograde labeling studies suggest that border cells have projections to the hippocampus that may be equally dense as those from grid cells, although the latter are more abundant (Zhang et al 2013). A potential role for border cells in place-cell formation would be consistent with early models, suggesting that place cells arise by linear combination of inputs from cells with firing fields defined by their proximity to geometric boundaries (O'Keefe and Burgess 1996;Hartley et al 2000).…”

Section: Upstream Of Place Cells: Grid Cells and Other Cell Typessupporting

confidence: 56%

“…A potential role for border cells in place-cell formation would be consistent with early models, suggesting that place cells arise by linear combination of inputs from cells with firing fields defined by their proximity to geometric boundaries (O'Keefe and Burgess 1996;Hartley et al 2000). Recordings in the medial entorhinal cortex have, so far, identified such cells only near the boundaries of the environment Zhang et al 2013;Bjerknes et al 2014), suggesting that a contriPlace Cells, Grid Cells, and Memory 2015;7:a021808 bution by these cells may be limited to place cells with peripheral firing fields.…”

Section: Upstream Of Place Cells: Grid Cells and Other Cell Typessupporting

confidence: 54%

Place Cells, Grid Cells, and Memory

Moser

Rowland

Moser

2015

Cold Spring Harb Perspect Biol

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The hippocampal system is critical for storage and retrieval of declarative memories, including memories for locations and events that take place at those locations. Spatial memories place high demands on capacity. Memories must be distinct to be recalled without interference and encoding must be fast. Recent studies have indicated that hippocampal networks allow for fast storage of large quantities of uncorrelated spatial information. The aim of the this article is to review and discuss some of this work, taking as a starting point the discovery of multiple functionally specialized cell types of the hippocampal-entorhinal circuit, such as place, grid, and border cells. We will show that grid cells provide the hippocampus with a metric, as well as a putative mechanism for decorrelation of representations, that the formation of environment-specific place maps depends on mechanisms for long-term plasticity in the hippocampus, and that long-term spatiotemporal memory storage may depend on offline consolidation processes related to sharp-wave ripple activity in the hippocampus. The multitude of representations generated through interactions between a variety of functionally specialized cell types in the entorhinal-hippocampal circuit may be at the heart of the mechanism for declarative memory formation.T he scientific study of human memory started with Herman Ebbinghaus, who initiated the quantitative investigation of associative memory processes as they take place (Ebbinghaus 1885). Ebbinghaus described the conditions that influence memory formation and he determined several basic principles of encoding and recall, such as the law of frequency and the effect of time on forgetting. With Ebbinghaus, higher mental functions were brought to the laboratory. In parallel with the human learning tradition that Ebbinghaus started, a new generation of experimental psychologists described the laws of associative learning in animals. With behaviorists like Pavlov, Watson, Hull, Skinner, and Tolman, a rigorous program for identifying the laws of animal learning was initiated. By the middle of the 20th century, a language for associative learning processes had been developed, and many of the fundamental relationships between environment and behavior had been described. What was completely missing, though, was an understanding of the neural activity underlying the formation of the memory. The behaviorists had deliberately shied away from physiological explanations because of the intangible nature of neural activity at that time.Then the climate began to change. Karl Lashley had shown that lesions in the cerebral cortex had predictable effects on behavior in Editors: Eric R. Kandel, Yadin Dudai, and Mark R. Mayford Additional Perspectives on Learning and Memory available at

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“…In addition to its extensive cortical connectivity, the claustrum is densely interconnected with an array of subcortical structures (Figure 2), for example, thalamus (Figure 3; Herkenham, 1978;McKenna and Vertes, 2004;Vertes et al, 2006;Vertes and Hoover, 2008), striatum (Andersen, 1968;Wang et al, 2017), hippocampus (Amaral and Cowan, 1980;Zhang et al, 2013), amygdala (Majak et al, 2002;Wang et al, 2017) and hypothalamus (Vertes, 1992). Of its thalamic interactions, claustro-reuniens and claustro-rhomboid connectivity is particularly striking (Figure 3; Herkenham, 1978;McKenna and Vertes, 2004;Vertes et al, 2006).…”

Section: Subcortical Connectivitymentioning

confidence: 99%

The claustrum: Considerations regarding its anatomy, functions and a programme for research

Dillingham

Jankowski

Chandra

et al. 2017

Brain and Neuroscience Advances

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The claustrum is a highly conserved but enigmatic structure, with connections to the entire cortical mantle, as well as to an extended and extensive range of heterogeneous subcortical structures. Indeed, the human claustrum is thought to have the highest number of connections per millimetre cubed of any other brain region. While there have been relatively few functional investigations of the claustrum, many theoretical suggestions have been put forward, including speculation that it plays a key role in the generation of consciousness in the mammalian brain. Other claims have been more circumspect, suggesting that the claustrum has a particular role in, for example, orchestrating cortical activity, spatial information processing or decision making. Here, we selectively review certain key recent anatomical, electrophysiological and behavioural experimental advances in claustral research and present evidence that calls for a reassessment of its anatomical boundaries in the rodent. We conclude with some open questions for future research.

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Optogenetic Dissection of Entorhinal-Hippocampal Functional Connectivity

Cited by 240 publications

References 62 publications

Grid cells and cortical representation

Grid cells and cortical representation

Place Cells, Grid Cells, and Memory

The claustrum: Considerations regarding its anatomy, functions and a programme for research

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