Activity In Other Regions Research Articles

Estimating emissions from tourism activities

Data on atmospheric pollutant emissions from tourism activities was identified as a critical knowledge gap. Building an emissions inventory is a standard procedure that most countries perform for regulatory or research purposes. At a European level, these inventories are developed using the standard Nomenclature for Reporting (NFR sectors). However, none of the NFR are exclusively for tourism or explicitly include it. This paper presents a methodology to estimate the emissions from main touristic activities, focusing on Portugal as a case study. The emissions were distributed using tourism data as a proxy, namely the contribution of tourism to characteristic industries, as well as the nights spent in tourism establishments by non-residents. The proxy data was used to distribute emissions throughout the municipalities, using the national reported emissions data as a starting point. An analysis of the spatial distribution of tourism emissions was performed, highlighting that tourism has a significant impact on atmospheric emissions over specific areas (up to 40.1%), and contributing to areas where air pollution is already an environmental stress factor (urban centres of Porto and Lisbon). While this methodological framework was developed specifically for Portugal, it may be adapted to assess atmospheric pollutant emissions from tourism activities in other regions. Beyond the methodology proposed and the analysis of the results, other alternative methods to estimate emissions from the tourism sector are discussed and suggested.

Optogenetic Stimulation of the Basolateral Amygdala Increased Theta-Modulated Gamma Oscillations in the Hippocampus.

The amygdala can modulate declarative memory. For example, previous research in rats and humans showed that brief electrical stimulation to the basolateral complex of the amygdala (BLA) prioritized specific objects to be consolidated into long term memory in the absence of emotional stimuli and without awareness of stimulation. The capacity of the BLA to influence memory depends on its substantial projections to many other brain regions, including the hippocampus. Nevertheless, how activation of the BLA influences ongoing neuronal activity in other regions is poorly understood. The current study used optogenetic stimulation of putative glutamatergic neurons in the BLA of freely exploring rats to determine whether brief activation of the BLA could increase in the hippocampus gamma oscillations for which the amplitude was modulated by the phase of theta oscillations, an oscillatory state previously reported to correlate with good memory. BLA neurons were stimulated in 1-s bouts with pulse frequencies that included the theta range (8 Hz), the gamma range (50 Hz), or a combination of both ranges (eight 50-Hz bursts). Local field potentials were recorded in the BLA and in the pyramidal layer of CA1 in the intermediate hippocampus. A key question was whether BLA stimulation at either theta or gamma frequencies could combine with ongoing hippocampal oscillations to result in theta-modulated gamma or whether BLA stimulation that included both theta and gamma frequencies would be necessary to increase theta–gamma comodulation in the hippocampus. All stimulation conditions elicited robust responses in BLA and CA1, but theta-modulated gamma oscillations increased in CA1 only when BLA stimulation included both theta and gamma frequencies. Longer bouts (5-s) of BLA stimulation resulted in hippocampal activity that evolved away from the initial oscillatory states and toward those characterized more by prominent low-frequency oscillations. The current results indicated that one mechanism by which the amygdala might influence declarative memory is by eliciting neuronal oscillatory states in the hippocampus that benefit memory.

The gig economy in the UK: a regional perspective

PurposeA quarterly series of gig economy activity in the regions of the UK is constructed. Patterns of regional linkages are identified and the implications of spatial patterns for policymakers, businesses, workers and institutions are highlighted.Design/methodology/approachThe Labour Force Survey data on main job self-employment in key gig economy sectors are used to construct the series. These are then analysed using vector autoregression techniques to identify patterns in the data and provide provisional forecasts.FindingsThe incidence of gig economy activity is greatest in the London region, characterised by high population density and a concentration of service sectors in which gig economy work, particularly of a highly skilled nature, takes place. Growth of gig economy activity in other regions has been more modest. In London, the percentage of workers in the gig economy is expected to rise to around 6.5 per cent over the next few years, while in other regions, the percentage is expected to settle at between 3 and 4.5 per cent.Originality/valueThese are the first regional estimates to be provided of the extent of gig economy activity. This is important in the context of discussions about the future of work, not least because regional disparities imply the need for policies addressing insecurity to have a spatial dimension.

Navigation: from animal behaviour to guiding principles

![Figure][1] Tritonia diomedea navigating through a sea pen bed in search of prey or mates. Photo credit: Russell Wyeth and James A. Murray. Whether an animal's world is restricted to a few twigs or the avian highways that traverse the planet, creatures must navigate their surroundings

On the Interplay of the DNA Replication Program and the Intra-S Phase Checkpoint Pathway.

DNA replication in eukaryotes is achieved by the activation of multiple replication origins which needs to be precisely coordinated in space and time. This spatio-temporal replication program is regulated by many factors to maintain genome stability, which is frequently threatened through stresses of exogenous or endogenous origin. Intra-S phase checkpoints monitor the integrity of DNA synthesis and are activated when replication forks are stalled. Their activation leads to the stabilization of forks, to the delay of the replication program by the inhibition of late firing origins, and the delay of G2/M phase entry. In some cell cycles during early development these mechanisms are less efficient in order to allow rapid cell divisions. In this article, we will review our current knowledge of how the intra-S phase checkpoint regulates the replication program in budding yeast and metazoan models, including early embryos with rapid S phases. We sum up current models on how the checkpoint can inhibit origin firing in some genomic regions, but allow dormant origin activation in other regions. Finally, we discuss how numerical and theoretical models can be used to connect the multiple different actors into a global process and to extract general rules.

The Pain of Sleep Loss: A Brain Characterization in Humans.

Sleep loss increases the experience of pain. However, the brain mechanisms underlying altered pain processing following sleep deprivation are unknown. Moreover, it remains unclear whether ecologically modest night-to-night changes in sleep, within an individual, confer consequential day-to-day changes in experienced pain. Here, we demonstrate that acute sleep deprivation amplifies pain reactivity within human (male and female) primary somatosensory cortex yet blunts pain reactivity in higher-order valuation and decision-making regions of the striatum and insula cortex. Consistent with this altered neural signature, we further show that sleep deprivation expands the temperature range for classifying a stimulus as painful, specifically through a lowering of pain thresholds. Moreover, the degree of amplified reactivity within somatosensory cortex following sleep deprivation significantly predicts this expansion of experienced pain across individuals. Finally, outside of the laboratory setting, we similarly show that even modest nightly changes in sleep quality (increases and decreases) within an individual determine consequential day-to-day changes in experienced pain (decreases and increases, respectively). Together, these data provide a novel framework underlying the impact of sleep loss on pain and, furthermore, establish that the association between sleep and pain is expressed in a night-to-day, bidirectional relationship within a sample of the general population. More broadly, our findings highlight sleep as a novel therapeutic target for pain management within and outside the clinic, including circumstances where sleep is frequently short yet pain is abundant (e.g., the hospital setting).SIGNIFICANCE STATEMENT Are you experiencing pain? Did you have a bad night of sleep? This study provides underlying brain and behavioral mechanisms explaining this common co-occurrence. We show that sleep deprivation enhances pain responsivity within the primary sensing regions of the brain's cortex yet blunts activity in other regions that modulate pain processing, the striatum and insula. We further establish that even subtle night-to-night changes in sleep in a sample of the general population predict consequential day-to-day changes in pain (bidirectionally). Considering the societal rise in chronic pain conditions in lock-step with the decline in sleep time through the industrial world, our data support the hypothesis that these two trends may not simply be co-occurring but are significantly interrelated.

The Effects of Methylphenidate (Ritalin) on the Neurophysiology of the Monkey Caudal Prefrontal Cortex

Methylphenidate (MPH), commonly known as Ritalin, is the most widely prescribed drug worldwide to treat patients with attention deficit disorders. Although MPH is thought to modulate catecholamine neurotransmission in the brain, it remains unclear how these neurochemical effects influence neuronal activity and lead to attentional enhancements. Studies in rodents overwhelmingly point to the lateral prefrontal cortex (LPFC) as a main site of action of MPH. To understand the mechanism of action of MPH in a primate brain, we recorded the responses of neuronal populations using chronic multielectrode arrays implanted in the caudal LPFC of two macaque monkeys while the animals performed an attention task (N = 2811 neuronal recordings). Over different recording sessions (N = 55), we orally administered either various doses of MPH or a placebo to the animals. Behavioral analyses revealed positive effects of MPH on task performance at specific doses. However, analyses of individual neurons activity, noise correlations, and neuronal ensemble activity using machine learning algorithms revealed no effects of MPH. Our results suggest that the positive behavioral effects of MPH observed in primates (including humans) may not be mediated by changes in the activity of caudal LPFC neurons. MPH may enhance cognitive performance by modulating neuronal activity in other regions of the attentional network in the primate brain.

Decreased amplitude of surface electromyo- graphic recordings of muscle activation along the posterior myofascial kinematic chain in subjects with chronic nonspecific low back pain compared to healthy subjects.

The concept of myofascial continuity suggests that muscles activate along kinematic chains with common fascial coverings. Yet, the literature lacks evidence in regards to the function of anatomical chains in populations suffering from low back pain (LBP). To examine muscle activations along the superficial back line in LBP patients compared to healthy controls. The sample study included 20 males with chronic LBP (mean age 28.7 (± 3.05) years, mean BMI 24.91 (± 2.76)) and 17 healthy controls (mean age 31.06 (± 7.76) years, mean BMI 23.46 (± 3.43)). Muscle activation (gastrocnemius, hamstrings, erector spine, and upper trapezius) along the superficial back line was measured using surface EMG. All subjects underwent five test conditions: Conditions 1-3 involved passive movement, active movement and active movement against maximum isometric resistance of the right gastrocnemius muscle. Conditions 4 and 5 involved neck extension without and with isometric resistance from the prone position. The main outcome was relative muscle activation amplitude between research and control subjects. Muscle activation along the posterior anatomical chain was observed during distal movement (plantar flexion or neck extension). LBP patients showed significant lower muscle activation in the erector spine of lower back region compared with the control group during active plantar flexion and active neck extension (p< 0.05). Lower muscle activation in other regions (gastrocnemius, hamstrings, erector spine level T6) was observed in the research group (although not significant). LBP may cause or result in a lower muscle activation of the posterior kinematic myofascial chain muscles.

Developing Forest Cover Composites through a Combination of Landsat-8 Optical and Sentinel-1 SAR Data for the Visualization and Extraction of Forested Areas

Mapping the distribution of forested areas and monitoring their spatio-temporal changes are necessary for the conservation and management of forests. This paper presents two new image composites for the visualization and extraction of forest cover. By exploiting the Landsat-8 satellite-based multi-temporal and multi-spectral reflectance datasets, the Forest Cover Composite (FCC) was designed in this research. The FCC is an RGB (red, green, blue) color composite made up of short-wave infrared reflectance and green reflectance, specially selected from the day when the Normalized Difference Vegetation Index (NDVI) is at a maximum, as the red and blue bands, respectively. The annual mean NDVI values are used as the green band. The FCC is designed in such a way that the forested areas appear greener than other vegetation types, such as grasses and shrubs. On the other hand, the croplands and barren lands are usually seen as red and water/snow is seen as blue. However, forests may not necessarily be greener than other perennial vegetation. To cope with this problem, an Enhanced Forest Cover Composite (EFCC) was designed by combining the annual median backscattering intensity of the VH (vertical transmit, horizontal receive) polarization data from the Sentinel-1 satellite with the green term of the FCC to suppress the green component (mean NDVI values) of the FCC over the non-forested vegetative areas. The performances of the FCC and EFCC were evaluated for the discrimination and classification of forested areas all over Japan with the support of reference data. The FCC and EFCC provided promising results, and the high-resolution forest map newly produced in the research provided better accuracy than the extant MODIS (Moderate Resolution Imaging Spectroradiometer) Land Cover Type product (MCD12Q1) in Japan. The composite images proposed in the research are expected to improve forest monitoring activities in other regions as well.

Fronto-striatal effective connectivity of working memory in adults with cannabis use disorder

Previous working memory (WM) studies found that relative to controls, subjects with cannabis use disorder (CUD) showed greater brain activation in some regions (e.g., left [L] and right [R] ventrolateral prefrontal cortex [VLPFC], and L dorsolateral prefrontal cortex [L-DLPFC]), and lower activation in other regions (e.g., R-DLPFC). In this study, effective connectivity (EC) analysis was applied to functional magnetic resonance imaging data acquired from 23 CUD subjects and 23 controls (two groups matched for sociodemographic factors and substance use history) while performing an n-back WM task with interleaved 2-back and 0-back periods. A 2-back minus 0-back modulator was defined to measure the modulatory changes of EC corresponding to the 2-back relative to 0-back conditions. Compared to the controls, the CUD group showed smaller modulatory change in the R-DLPFC to L-caudate pathway, and greater modulatory changes in L-DLPFC to L-caudate, R-DLPFC to R-caudate, and R-VLPFC to L-caudate pathways. Based on previous fMRI studies consistently suggesting that greater brain activations are related to a compensatory mechanism for cannabis neural effects (less regional brain activations), the smaller modulatory change in the R-DLPFC to L-caudate EC may be compensated by the larger modulatory changes in the other prefrontal-striatal ECs in the CUD individuals.

The role of replay and theta sequences in mediating hippocampal-prefrontal interactions for memory and cognition.

Sequential activity is seen in the hippocampus during multiple network patterns, prominently as replay activity during both awake and sleep sharp-wave ripples (SWRs), and as theta sequences during active exploration. Although various mnemonic and cognitive functions have been ascribed to these hippocampal sequences, evidence for these proposed functions remains primarily phenomenological. Here, we briefly review current knowledge about replay events and theta sequences in spatial memory tasks. We reason that in order to gain a mechanistic and causal understanding of how these patterns influence memory and cognitive processing, it is important to consider how these sequences influence activity in other regions, and in particular, the prefrontal cortex, which is crucial for memory-guided behavior. For spatial memory tasks, we posit that hippocampal-prefrontal interactions mediated by replay and theta sequences play complementary and overlapping roles at different stages in learning, supporting memory encoding and retrieval, deliberative decision making, planning, and guiding future actions. This framework offers testable predictions for future physiology and closed-loop feedback inactivation experiments for specifically targeting hippocampal sequences as well as coordinated prefrontal activity in different network states, with the potential to reveal their causal roles in memory-guided behavior.

КОНЦЕПТ «ЭКОЛОГИЧЕСКОГО ТУРИЗМА» В МИРОВОЙ И РОССИЙСКОЙ ПРАКТИКЕ: КОМПАРАТИВНЫЙ АНАЛИЗ И КЕЙСЫ

The article is focused on the ecotourism from the point of view of the ecological paradigm, the ecological imperative and the concept of natureuse. Based on the methodology of comparative analysis, the research experience in the field of ecotourism in foreign scientific practice is considered. It is noted that one of the fundamental problems of ecotourism is ambiguity and breadth of its interpretations and definitions. The authors consider controversial questions about the destructive function inherent in ecotourism, and outline the problem of its mythologization, the “crisis of legitimacy”, and the formation of the phenomenon of “eco-colonialism”. The article raises a problematic question about the discussion of the concept of ecotourism as kind of tourism, and substantiates the expediency of its positioning as an organizational form of the tourism industry. Within the framework of the discussion on components and the classification of ecotourism,&#x0D; the authors present their classification of ecotourism types depending on the motivation factors and quantity of tourists. On this basis, the authors distinguish three form-clusters of ecotourism, including 16 of its types. The problem of integration of ecotourism scientific schools of different countries is considered.&#x0D; The article considers the cases of the world experience of ecotourism and Russian practices of organization of this form of activity. The authors describe the principles for elaborating the ecological tourism marketing strategy of the Volga region. This region has huge potential for ecotourism development in the country, and its rich positive experience in this field can be taken as a basis for developing this kind of tourism activity in other regions of the country. The authors make conclusion about the necessity and urgency of a radical review of composition scheme and conceptual understanding of the phenomenon of ecotourism, which should become a paradigm of the whole tourism sphere, the basis for its further growth and development both in Russia and in the world.

Evaluating the timing of the start of the Anthropocene from Northeast China: Applications of stratigraphic indicators

The Earth can be described as having entered a new human-dominated geological epoch that is known as the “Anthropocene”, and determining the timing of the start of the Anthropocene has become important. Here, we combined sedimentological parameters (sedimentation rate and mean grain size), geochemical indicators (heavy metal enrichment factors, black carbon fluxes and polycyclic aromatic hydrocarbons concentrations) and a biological indicator (plant macrofossils) in wetland sediment records to assess the start of the Anthropocene. The analysis of five wetlands on the Sanjiang Plain, Northeast China, showed that the major component scores of sedimentological parameters and geochemical features based on principal component analyses had obvious increasing trends after the 1950s. Structural change tests were applied to the plant macrofossil data of one typical peatland to detect the breakpoint of the wetland ecosystem, and the dominant species of the plant community changed from Carex lasiocarpa to Salix myrtilloides during this period due to intensive human activities and drainage in this region. We can divide the history of anthropogenic activities into five periods among the three phases of exploitations that occurred in the Sanjiang Plain, Northeast China, based on our results and historical document records; the anthropogenic activities increased significantly starting in the New China period. It is suggested that the 1950s can be treated as the start of the Anthropocene on the Sanjiang Plain, Northeast China. Similar studies of stratigraphic indicators that provide estimates of historical human activities in other regions could contribute to the global definition of the Anthropocene.

Interannual evolution of (sub)mesoscale dynamics in the Bay of Biscay

Abstract. In the north-east Atlantic Ocean, the Bay of Biscay is an intersection between a coastal constrained dynamics (wide continental shelf and shelf break regions) and an eastern boundary circulation system. In this framework, the eddy kinetic energy is 1 order of magnitude lower than in western boundary systems. To explore this coastal complex system, a high-resolution (1 km, 100 vertical sigma layers) model experiment including tidal dynamics over a period of 10 years (2001–2010) has been implemented. The ability of the numerical environment to reproduce main patterns over interannual scales is demonstrated. Based on this experiment, the features of the (sub)mesoscale processes are described in the deep part of the region (i.e. abyssal plain and continental slope). A system with the development of mixed layer instabilities at the end of winter is highlighted. Beyond confirming an observed behaviour of seasonal (sub)mesoscale activity in other regions, the simulated period allows exploring the interannual variability of these structures. A relationship between the winter maximum of mixed layer depth and the intensity of (sub)mesoscale related activity (vertical velocity, relative vorticity) is revealed and can be explained by large-scale atmospheric forcings (e.g. the cold winter in 2005). The first submesoscale-permitting exploration of this 3-D coastal system shows the importance of (sub)mesoscale activity in this region with its evolution implying a potentially significant impact on vertical and horizontal mixing.

A direct comparison of appetitive and aversive anticipation: Overlapping and distinct neural activation

fMRI studies of reward find increased neural activity in ventral striatum and medial prefrontal cortex (mPFC), whereas other regions, including the dorsolateral prefrontal cortex (dlPFC), anterior cingulate cortex (ACC), and anterior insula, are activated when anticipating aversive exposure. Although these data suggest differential activation during anticipation of pleasant or of unpleasant exposure, they also arise in the context of different paradigms (e.g., preparation for reward vs. threat of shock) and participants. To determine overlapping and unique regions active during emotional anticipation, we compared neural activity during anticipation of pleasant or unpleasant exposure in the same participants. Cues signalled the upcoming presentation of erotic/romantic, violent, or everyday pictures while BOLD activity during the 9-s anticipatory period was measured using fMRI. Ventral striatum and a ventral mPFC subregion were activated when anticipating pleasant, but not unpleasant or neutral, pictures, whereas activation in other regions was enhanced when anticipating appetitive or aversive scenes.

Multiregional integration in the brain during resting-state fMRI activity.

Data-driven models of functional magnetic resonance imaging (fMRI) activity can elucidate dependencies that involve the combination of multiple brain regions. Activity in some regions during resting-state fMRI can be predicted with high accuracy from the activities of other regions. However, it remains unclear in which regions activity depends on unique integration of multiple predictor regions. To address this question, sparse (parsimonious) models could serve to better determine key interregional dependencies by reducing false positives. We used resting-state fMRI data from 46 subjects, and for each region of interest (ROI) per subject we performed whole-brain recursive feature elimination (RFE) to select the minimal set of ROIs that best predicted activity in the modeled ROI. We quantified the dependence of activity on multiple predictor ROIs, by measuring the gain in prediction accuracy of models that incorporated multiple predictor ROIs compared to models that used a single predictor ROI. We identified regions that showed considerable evidence of multiregional integration and determined the key regions that contributed to their observed activity. Our models reveal fronto-parietal integration networks, little integration in primary sensory regions, as well as redundancy between some regions. Our study demonstrates the utility of whole-brain RFE to generate data-driven models with minimal sets of ROIs that predict activity with high accuracy. By determining the extent to which activity in each ROI depended on integration of signals from multiple ROIs, we find cortical integration networks during resting-state activity.

Remote triggering of seismicity at Japanese volcanoes following the 2016 M7.3 Kumamoto earthquake

The MJMA7.3 Kumamoto earthquake occurred on April 16, 2016, in the western part of Kyushu, at a depth of 12 km, on an active strike-slip fault. Here, we report on a relatively widespread activation of small remote earthquakes, which occurred as far as Hokkaido, detected by analyzing the continuous waveform data recorded at seismic stations all over Japan. Such relatively widespread remote seismicity activation, following a large inland earthquake, has not been reported before for Japan. Our analysis demonstrates that the remote events were triggered dynamically, by the passage of the surface waves from the Kumamoto earthquake. Most of the remotely triggered events in the Tohoku and Hokkaido regions, as well as close to Izu Peninsula, occur at or close to volcanoes, which suggests that the excitation of crustal fluids, by the passage of Rayleigh waves, played an important triggering role. Nevertheless, remote activation in other regions, like Noto Peninsula, occurred away from volcanoes. The relatively large-amplitude Love waves, enhanced by a source directivity effect during the Kumamoto earthquake, may have triggered seismicity on local active faults. The dynamic stresses in the areas where remote activation has been observed range from several kPa to tens of kPa, the thresholds being lower than in previous dynamic triggering cases for Japan; this might relate to a change in the crustal conditions following the 2011 M9.0 Tohoku-oki earthquake, in particular at volcanoes in NE Japan.

Improving the climate data management in the meteorological service of Angola: experience from SASSCAL

Abstract. The knowledge on climate variability in parts of Southern Africa is limited because of the low availability of historic and present-day ground-based observations (Niang et al., 2014). However, there is an increased need of climate information for research, climate adaptation measures and climate services. To respond to the challenges of climate change and related issues, Angola, Botswana, Germany, Namibia, South Africa and Zambia have initiated the interdisciplinary regional competence centre SASSCAL, the "Southern African Science Service Centre for Climate Change and Adaptive Land Management". As part of the initiative, Germany's national meteorological service (Deutscher Wetterdienst, DWD) cooperates with the meteorological services of Angola, Botswana and Zambia in order to improve the management and availability of historical and present-day climate data in these countries. The first results of the cooperation between the German and the Angolan Meteorological Services are presented here. International assessments have shown that improvements of the data management concepts are needed in several countries. The experience of this cooperation can therefore provide hints for comparable activities in other regions.

Usable Science for Sustainable Rangelands: Conclusions

On the Ground Producers and users of scientific knowledge working together can identify future research directions that will produce usable science to address the challenges of managing for sustainable rangelands. Matching the scale of science to the scale of management and ecological and physical processes was a prominent theme identified. Similar activities in other regions with participants from the energy sector, wildlife organizations, and recreation enthusiasts can provide additional research directions for sustainable rangelands.

Information transfer by local field potentials in the hippocampal formation

Extracellular electrical potential oscillations recorded as local field potentials (LFPs) in the hippocampal formation are thought to be involved in cognitive processes such as working memory retention, memory consolidation and spatial navigation. Recent studies have shown that combining spikes with LFP phase can increase the information content of spikes [1,2] and thus suggest LFP oscillations have the capacity to convey information. LFP oscillations within specific frequency bands can interact, for example by phase-phase and phase-amplitude coupling. We hypothesise that these LFP interactions can transfer information between neural networks. To test this hypothesis, we analyse multi-channel recordings of simultaneous LFPs from hippocampal area CA1 and the subiculum of urethane-anaesthetised rodents. Anatomical connections between these two regions in the hippocampal formation predict information in this system flows in 'nested loops' along separate projections [3]. We use advanced neurocomputational methods to determine how information flows within the CA1-subicular circuit by interactions of LFP rhythms. The results of correlation and coherence analyses of LFPs recorded from multiple sites suggest that LFP rhythms can transmit information within and between area CA1 and the subiculum. However, these methods alone are not enough to determine the oscillatory activity in which region drives activity in other regions, that is in which direction information flows. We use transfer entropy [4], which is an information theoretic method that can capture directionality, to quantify information transfer between area CA1 and subiculum. We show that information flow within the CA1-subicular circuit is bi-directional and follows a pattern of feedforward and feedback loops. Our results suggest that LFP interactions can route information at millisecond timescales along the anatomical connections in the hippocampal formation to achieve cognitive processing.