A neural code for egocentric spatial maps in the human medial temporal lobe

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Dynamics of population code for working memory in the prefrontal cortex

Some neurons (delay cells) in the prefrontal cortex elevate their activities throughout the time period during which the animal is required to remember past events and prepare future behavior, suggesting that working memory is mediated by continuous neural activity. It is unknown, however, how working memory is represented within a population of prefrontal cortical neurons. We recorded from neuronal ensembles in the prefrontal cortex as rats learned a new delayed alternation task. Ensemble activities changed in parallel with behavioral learning so that they increasingly allowed correct decoding of previous and future goal choices. In well-trained rats, considerable decoding was possible based on only a few neurons and after removing continuously active delay cells. These results show that neural activity in the prefrontal cortex changes dynamically during new task learning so that working memory is robustly represented and that working memory can be mediated by sequential activation of different neural populations.     

Place cells, neocortex and spatial navigation: a short review

Hippocampal place cells are characterized by location-specific firing, that is each cell fires in a restricted region of the environment explored by the rat. In this review, we briefly examine the sensory information used by place cells to anchor their firing fields in space and show that, among the various sensory cues that can influence place cell activity, visual and motion-related cues are the most relevant. We then explore the contribution of several cortical areas to the generation of the place cell signal with an emphasis on the role of the visual cortex and parietal cortex. Finally, we address the functional significance of place cell activity and demonstrate the existence of a clear relationship between place cell positional activity and spatial navigation performance. We conclude that place cells, together with head direction cells, provide information useful for spatially guided movements, and thus provide a unique model of how spatial information is encoded in the brain.     

Cellular memory and the histone code

The histone tails on the nucleosome surface are subject to enzyme-catalyzed modifications that may, singly or in combination, form a code specifying patterns of gene expression. Recent papers provide insights into how a combinatorial code might be set and read. They show how modification of one residue can influence that of another, even when they are located on different histones, and how modifications at specific genomic locations might be perpetuated on newly assembled chromatin.     

Altered representation of the spatial code for odors after olfactory classical conditioning; memory trace formation by synaptic recruitment

In the olfactory bulb of vertebrates or the homologous antennal lobe of insects, odor quality is represented by stereotyped patterns of neuronal activity that are reproducible within and between individuals. Using optical imaging to monitor synaptic activity in the Drosophila antennal lobe, we show here that classical conditioning rapidly alters the neural code representing the learned odor by recruiting new synapses into that code. Pairing of an odor-conditioned stimulus with an electric shock-unconditioned stimulus causes new projection neuron synapses to respond to the odor along with those normally activated prior to conditioning. Different odors recruit different groups of projection neurons into the spatial code. The change in odor representation after conditioning appears to be intrinsic to projection neurons. The rapid recruitment by conditioning of new synapses into the representation of sensory information may be a general mechanism underlying many forms of short-term memory.     

How the interplay between individual spatial memory and landscape persistence can generate population distribution patterns

Recent studies have suggested that the long distance movements of some terrestrial mammals are not migratory, but rather nomadic. Moreover, the spatial heterogeneity and temporal predictability of resources were proposed as factors contributing to alternative movement strategies, such as sedentarism (i.e., range residency), migration, and nomadism. Here, we propose that, at the individual level, a dependence on spatial memory is another important parameter for distinguishing among population-level patterns of spatial distribution. For instance, migratory animals would have a long memory of the areas they prefer to revisit, whereas nomadic animals would remember recently visited areas as places to avoid as they search for resources. We develop a computational model in which individuals’ movement decisions are based on the animals’ spatial memory of previously visited areas. Through this approach, we delineate how the interplay between landscape persistence and spatial memory leads to sedentarism, migration, and nomadism.     

Imaging activation of adult-generated granule cells in spatial memory

New neurons are continuously generated in the subgranular zone of the hippocampus throughout adulthood, and there is increasing interest as to whether these new neurons become functionally integrated into memory circuits. This protocol describes the immunohistochemical procedures to visualize the recruitment of new neurons into circuits supporting spatial memory in intact mice. To label adult-generated granule cells, mice are injected with the proliferation marker 5-bromo-2'-deoxyuridine (BrdU). At different delays after BrdU treatment, mice are trained to locate a hidden platform in the Morris water maze, and spatial memory can then be tested in a probe test with the platform removed from the pool. Ninety minutes after this probe test, mice are perfused and tissue is sectioned. Immunohistochemical procedures are used to quantify BrdU-labeled cells and expression of the immediate early gene, Fos. Because Fos expression is regulated by neuronal activity, the degree of overlap between BrdU-labeled and Fos-labeled neurons provides an indication of whether adult-generated granule neurons have been incorporated into spatial memory circuits.     

Place cells,navigational accuracy,and the human hippocampus.

The hippocampal formation in both rats and humans is involved in spatial navigation. In the rat, cells coding for places, directions, and speed of movement have been recorded from the hippocampus proper and/or the neighbouring subicular complex. Place fields of a group of the hippocampal pyramidal cells cover the surface of an environment but do not appear to do so in any systematic fashion. That is, there is no topographical relation between the anatomical location of the cells within the hippocampus and the place fields of these cells in an environment. Recent work shows that place cells are responding to the summation of two or more Gaussian curves, each of which is fixed at a given distance to two or more walls in the environment. The walls themselves are probably identified by their allocentric direction relative to the rat and this information may be provided by the head direction cells. The right human hippocampus retains its role in spatial mapping as demonstrated by its activation during accurate navigation in imagined and virtual reality environments. In addition, it may have taken on wider memory functions, perhaps by the incorporation of a linear time tag which allows for the storage of the times of visits to particular locations. This extended system would serve as the basis for a spatio-temporal event or episodic memory system.     

Scaling population density and spatial pattern for terrestrial,mammalian carnivores

A large part of ecological theory has been developed with the assumption that intra- and inter-specific patterns of density and spatial distribution can be consistently and reliably compared, and that these patterns have represented populations across nonstudied landscapes. These assumptions are erroneous. We found that log₁₀ population density estimates consistently decreased linearly with log₁₀ spatial extent of study areas for species of terrestrial Carnivora. The size of the study area accounted for most of the variation in population estimates, and study areas increased with the female body mass of the study species. But study sites consistently had higher densities than can be expected for nonstudy sites, regardless of the size of the study area, because study sites are typically chosen based on a priori knowledge of high density. Inter-specific comparisons of density and distribution might provide more insight into community organization after intra-specific density estimates have been scaled by the study areas, and related to the nonstudied landscapes within each species' geographic range.     

Effects of cholinergic enhancement on visual stimulation, spatial attention, and spatial working memory

We compared behavioral and neural effects of cholinergic enhancement between spatial attention, spatial working memory (WM), and visual control tasks, using fMRI and the anticholinesterase physostigmine. Physostigmine speeded responses nonselectively but increased accuracy selectively for attention. Physostigmine also decreased activations to visual stimulation across all tasks within primary visual cortex, increased extrastriate occipital cortex activation selectively during maintained attention and WM encoding, and decreased parietal activation selectively during maintained attention. Finally, lateralization of occipital activation as a function of the visual hemifield toward which attention or memory was directed was decreased under physostigmine. In the case of attention, this effect correlated strongly with a decrease in a behavioral measure of selective spatial processing. Our results suggest that, while cholinergic enhancement facilitates visual attention by increasing activity in extrastriate cortex generally, it accomplishes this in a manner that reduces expectation-driven selective biasing of extrastriate cortex.     

尺度变换的正确率分析

采用优势规则和随机规则为基础的尺度分析方法．对分类的TM数据(景观类型图,包含8类型)进行了尺度变换分析。随着尺度的增加。优势规则分析方法使景观中优势景观类型的面积增加,相反．面积较小的非优势景观类型的面积减少。随机规则使各景观类型的面积基本上保持不变。随着尺度的增加．随机Kappa指数、位置Kappa指数和标准Kappa指数减少。在优势规则分析法中数量Kappa指数减少,但在随机规则为基础的处理中它保持100％。优势规则处理中的正确率大于随机规则处理的。由景观类型的面积百分比引起的数量正确率在优势规则处理中增加．但在随机规则处理中保持9．64％不变;相反数量错误在优势规则处理中明显增加。但在随机规则处理中少量增加。偶然正确率保持12．50％不变。位置正确率减少,相反位置错误明显增加。层和亚层水平上的位置正确率和错误的变化不明显．而网格水平上的位置正确率和错误大幅度减少。网格水平上的位置正确率和错误率决定了整个位置正确率和错误率．同时位置正确率和错误率基本上决定了整个正确率和错误率。标准Kappa指数大于等于70％作为选择依据．认为210m是优势规则处理法的尺度阈值,150m是随机规则处理法的尺度阈值。欲提高尺度阈值,必须改变研究范围或分类系统。