Spatial Coding Research Articles

К вопросу о семиотической интерпретации пространства неопротестантского богослужения

The article attempts to conduct a semiotic analysis of the space of neo-Protestant worship. For this purpose, as a methodological tool, general cultural spatial codes were used. The danger of semiotic error in determining the hierarchy of levels of expression and content is noted. The object of research is considered – the space of neo-Protestant worship. A semiotic comparative analysis of this space and the traditional Christian temple is made. Groups of spatial codes are considered in detail, their denotative and connotative interpretation is carried out. The emphasis is placed on the elements of visual semiotics of the space of neo-Protestant worship. The semiotic transformation of the hierophanic code is noted. The problem of aesthetics of neo-Protestant worship is posed.

A Flexible Algorithm Design of Spatial Scalability for Real-time Surveillance Applications

The Surveillance Video and Audio Coding )SVAC( working group is currently developing the third-generation video compression standard, SVAC 3.0. To extend this standard, this paper proposes a spatial scalable coding Scalable Surveillance Video Coding )SSVC( framework, so that the SVAC3.0 video stream can gracefully adapt to different transmission bandwidth limitations and the requirements of decoding hardware, while keep the quality of the reconstructed image without degradation. In order to achieve the scalability of hardware implementation, SSVC designs a flexible reference frame marking and usage scheme, so that the enhanced layer coding does not directly depend on the basic layer, and effectively reduces the coding coupling between layers. SSVC improves the motion vector prediction method, effectively utilizes the encoding information of the base layer, and is mainly compatible with SVAC3.0 syntax structures. In addition, SSVC provides several different operational modes to adapt to various application scenarios and achieve an optimal trade-off between coding efficiency and complexity. The performance comparisons among simulcast stream and SSVC, single-layer stream and SSVC enhancement layer, as well as experimental data for different operational modes are provided. The coding efficiency and computational complexity are also analyzed.

Grid codes vs. multi-scale, multi-field place codes for space.

Recent work on bats flying over long distances has revealed that single hippocampal cells have multiple place fields of different sizes. At the network level, a multi-scale, multi-field place cell code outperforms classical single-scale, single-field place codes, yet the performance boundaries of such a code remain an open question. In particular, it is unknown how general multi-field codes compare to a highly regular grid code, in which cells form distinct modules with different scales. In this work, we address the coding properties of theoretical spatial coding models with rigorous analyses of comprehensive simulations. Starting from a multi-scale, multi-field network, we performed evolutionary optimization. The resulting multi-field networks sometimes retained the multi-scale property at the single-cell level but most often converged to a single scale, with all place fields in a given cell having the same size. We compared the results against a single-scale single-field code and a one-dimensional grid code, focusing on two main characteristics: the performance of the code itself and the dynamics of the network generating it. Our simulation experiments revealed that, under normal conditions, a regular grid code outperforms all other codes with respect to decoding accuracy, achieving a given precision with fewer neurons and fields. In contrast, multi-field codes are more robust against noise and lesions, such as random drop-out of neurons, given that the significantly higher number of fields provides redundancy. Contrary to our expectations, the network dynamics of all models, from the original multi-scale models before optimization to the multi-field models that resulted from optimization, did not maintain activity bumps at their original locations when a position-specific external input was removed. Optimized multi-field codes appear to strike a compromise between a place code and a grid code that reflects a trade-off between accurate positional encoding and robustness. Surprisingly, the recurrent neural network models we implemented and optimized for either multi- or single-scale, multi-field codes did not intrinsically produce a persistent "memory" of attractor states. These models, therefore, were not continuous attractor networks.

Contradictions in the development of architecture science

The aim of the research is to study the formation of the ontological foundations of the science of architecture as an experience of its self-consciousness in the context of the evolution of spatial codes of cultural experience. The article considers contradictions of the modernist definition of architectural form, as well as the formation of the scientific discourse of architecture and the identity of architects’ professional thinking in general. The main hypothesis is based on the thesis that the freely historically unfolding evolution of architectural form is an objective experience of consolidating the self-consciousness of architecture as a text of its immanent expression and self-reference. The authors specify the limitations of the scientific functionalist discourse, which do not allow forming the internal basis for an autoreferential image of the architectural reality. Problematization of the ontological foundations of the science of architecture is a necessary link in the evolution of the methodology of architectural thinking and form making in post-industrial society.

Dynamics of space coding by mouse hippocampal CA1 field neurons in a free navigation task in different environments

The development of persistent cognitive adaptations in neurons is a key area of focus in contemporary neuroscience. A significant illustration of such adaptations occurs through spatial specializations in place cells with one or more receptive fields that are sensitive to spatial cues (place fields) [1]. In prior research, we extensively examined the dynamics of place field formation in granular layer neurons of the CA1 field in the hippocampus of mice during arbitrary free navigation in a circular track [2]. As the primary factor for maintaining stability in the spatial specialization of place cells, we have introduced dynamic selectivity. This approach enables us to monitor the latency of each place field’s formation and the selectivity dynamics of place cells to their respective fields throughout one or multiple shooting sessions. However, in one-dimensional settings, like the circular track referenced previously, place fields can demonstrate direction-specificity with regards to animal movement [3]. This factor considerably complicates the analysis for arbitrary movement trajectories of animals. In this study, additional experiments were conducted to capture the neural activity of mice in two-dimensional environments. The experiments were conducted in both a rectangular field with objects and a circular arena with a varying number of obstacles. In this paper, we conduct a comparative analysis to examine the critical parameters governing the development of spatial specializations in a one-dimensional circle track and two-dimensional arenas. These parameters include specialization latency, average dynamic selectivity, initial increase in selectivity, and the proportion of “immediate” place fields that remain stable from the first animal visit. The study discovered that the mean selectivity of the place fields escalated in each session, with higher rates observed in subsequent sessions versus the initial session in a novel setting. Additionally, there was a significant occurrence of “immediate” place fields, representing 11% of all place fields in the rounded arena with obstacles, and 25% of all place fields in the circular track. Additionally, a population analysis of neural activity was performed on the first session in a circular track and a round arena with obstacles. Using Laplace eigenmaps for the dimension reduction of population vectors, the trajectory of animals was reconstructed, and the accuracy of this reconstruction agreed with the average dynamic selectivity for each animal included in the analysis. Thus, dynamic selectivity was verified as a measure of the spatial coding quality of the entire registered population of neurons.

A reservoir of timescales emerges in recurrent circuits with heterogeneous neural assemblies.

The temporal activity of many physical and biological systems, from complex networks to neural circuits, exhibits fluctuations simultaneously varying over a large range of timescales. Long-tailed distributions of intrinsic timescales have been observed across neurons simultaneously recorded within the same cortical circuit. The mechanisms leading to this striking temporal heterogeneity are yet unknown. Here, we show that neural circuits, endowed with heterogeneous neural assemblies of different sizes, naturally generate multiple timescales of activity spanning several orders of magnitude. We develop an analytical theory using rate networks, supported by simulations of spiking networks with cell-type specific connectivity, to explain how neural timescales depend on assembly size and show that our model can naturally explain the long-tailed timescale distribution observed in the awake primate cortex. When driving recurrent networks of heterogeneous neural assemblies by a time-dependent broadband input, we found that large and small assemblies preferentially entrain slow and fast spectral components of the input, respectively. Our results suggest that heterogeneous assemblies can provide a biologically plausible mechanism for neural circuits to demix complex temporal input signals by transforming temporal into spatial neural codes via frequency-selective neural assemblies.

Representation of cultural meanings when using national cultural codes in fiction

The article is devoted to the consideration of the representation of cultural meanings when using national cultural codes in fiction. Research objectives: to substantiate the use of the category of cultural code in the analysis of a literary work; to characterize the features of the functioning of the national cultural code in relation to cultural universals; to show the specifics of national images associated with spatial and temporal cultural codes. Methods (historical and literary, structural, semantic) and methodological basis of the work are the works of Russian, Belarusian and foreign scientists in the field of philology (Yu. Lotman, R. Jacobson, M. Epstein, N. Tolstoy, S. Tolstaya, etc.), cultural studies and sociology (K. Rapay, J. Murdoch). The result of the work is that the main approaches to the definition of the cultural code are identified, cultural meanings, translated using national cultural codes, associated with images of the Motherland, small homeland, and Fatherland are identified on the example of works of Russian and Belarusian literature. The scientific novelty of the work lies in the fact that the features of the representation of cultural meanings when using national cultural images in Russian and Belarusian literature are analyzed. The practical scope of the results of the work is seen in the possibility of using this material for deep understanding and studying such academic disciplines as "History of Russian Literature", "History of Belarusian Literature", university historical and literary courses, during independent research work of students, when writing term papers and theses.

Orthogonal spatial coding with stimulated parametric down-conversion

Orthogonal optical coding is widely used in classical multi-user communication networks. Using the phase conjugation property of stimulated parametric down-conversion, we extend the current time-domain orthogonal optical coding scheme to the spatial domain to encode and decode image information. In this process, the idler beam inherits the complex conjugate of the field information encoded in the seed beam. An encoding phase mask introduced onto the input seed beam blurs the image transferred to the idler. The original image is restored by passing the coded transferred image through a corrective phase mask placed in the momentum space of the idler beam. We expect that this scheme can also inspire new techniques in secure image transmission, aberration cancellation, and frequency conversion imaging.

Spatial Response Discrimination May Elicit a Simon Effect on a Non-Complementary Task.

When paired participants are each assigned a complementary half of the Simon task, a joint Simon effect (JSE) has been observed. Co-representation, a cognitive representation of not only one's own task but also that of the co-actor, has been one of several proposed mechanisms in the JSE. Using the response-discrimination hypothesis as a framework, we tested whether it was sufficient to highlight alternative task keys in a two-person setting in which a non-complementary task was completed to elicit a Simon effect (SE). In our design, the participant's role was to perform the Go/No-Go Simon task and the co-actor's role was to initiate each trial for the participant. In one two-person setting participant group (SK group), the same task key was assigned to both the participant and the co-actor; another group (OK) was assigned spatially opposite task keys. In a third group (joint setting, TS group), the standard joint Simon task was also completed to verify that a JSE could be replicated. We hypothesized that an SE would be elicited in the OK group, since opposite task keys would uniquely promote spatial coding. We found a weak but marginally significant SE in the OK group but not in the SK group. These results suggest that, on a non-complementary task, response discrimination may contribute to the emergence of a SE in a two-person setting, while it does not have the same impact as a complementary task completed in a joint setting (TS group) that may afford more robust response representations that reveal the enhanced so-called JSE.

The Precision of Place Fields Governs Their Fate across Epochs of Experience.

Spatial memories are represented by hippocampal place cells during navigation. This spatial code is dynamic, undergoing changes across time, known as representational drift, and across changes in internal state, even while navigating the same spatial environment with consistent behavior. A dynamic code may provide the hippocampus a means to track distinct epochs of experience that occur at different times or during different internal states and update spatial memories. Changes to the spatial code include place fields (PFs) that remap to new locations and place fields that vanish, while others are stable. However, what determines place field fate across epochs remains unclear. We measured the lap-by-lap properties of place cells in mice during navigation for a block of trials in a rewarded virtual environment. We then determined the position of the place fields in another block of trials in the same spatial environment either separated by a day (a distinct temporal epoch) or during the same session but with reward removed to change reward expectation (a distinct internal state epoch). We found that place cells with remapped place fields across epochs tended to have lower spatial precision during navigation in the initial epoch. Place cells with stable or vanished place fields tended to have higher spatial precision. We conclude that place cells with less precise place fields have greater spatial flexibility, allowing them to respond to, and track, distinct epochs of experience in the same spatial environment, while place cells with precise place fields generally preserve spatial information when their fields reappear.

Spatial navigation: A touch in the dark

New work reveals whisker landmark coding in the retrosplenial cortex of mice, broadening our understanding of multisensory spatial cognition, contextual processing, and spatial predictive coding.

Exploring the response code in a compatibility effect between physical size and left/right responses: The hand is more important than location.

The spatial-size association of response codes (SSARC) effect refers to the finding of better performance with the left hand to small stimuli and with the right hand to large stimuli, as compared to the reverse mapping. In the present study, we investigated which response coding is responsible for the emergence of the SSARC effect. We observed a SSARC effect only with response selection between hands but not between fingers of one hand, indicating that the responses are coded relative to the body midline. Furthermore, we observed a SSARC effect with parallel arms but not with crossed arms, suggesting that both the anatomical side of the effector and its external spatial position contribute to the response code. However, using a reaching task as compared to keypresses, the SSARC effect followed the arms, suggesting that the crucial spatial response code refers more strongly to the anatomical side of the effector rather than to the external spatial response position. These findings document a strong influence of anatomically- or body-based coding on the SSARC effect, are at odds with the proposition of a generalized magnitude system that utilizes a common, external spatial metric, and point toward a categorical nature of response codes underlying the SSARC effect. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Aversive stimulus-tuned responses in the CA1 of the dorsal hippocampus

Throughout life animals inevitably encounter unforeseen threatening events. Activity of principal cells in the hippocampus is tuned for locations and for salient stimuli in the animals’ environment thus forming a map known to be pivotal for guiding behavior. Here, we explored if a code of threatening stimuli exists in the CA1 region of the dorsal hippocampus of mice by recording neuronal response to aversive stimuli delivered at changing locations. We have discovered a rapidly emerging, location independent response to innoxious aversive stimuli composed of the coordinated activation of subgroups of pyramidal cells and connected interneurons. Activated pyramidal cells had higher basal firing rate, more probably participated in ripples, targeted more interneurons than place cells and many of them lacked place fields. We also detected aversive stimulus-coupled assemblies dominated by the activated neurons. Notably, these assemblies could be observed even before the delivery of the first aversive event. Finally, we uncovered the systematic shift of the spatial code from the aversive to, surprisingly, the reward location during the fearful stimulus. Our results uncovered components of the dorsal CA1 circuit possibly key for re-sculpting the spatial map in response to abrupt aversive events.

Egocentric cues influence the allocentric spatial memory of object configurations for memory-guided actions.

Allocentric and egocentric reference frames are used to code the spatial position of action targets in reference to objects in the environment, i.e., relative to landmarks (allocentric), or the observer (egocentric). Previous research investigated reference frames in isolation, for example, by shifting landmarks relative to the target and asking participants to reach to the remembered target location. Systematic reaching errors were found in the direction of the landmark shift and used as a proxy for allocentric spatial coding. Here, we examined the interaction of both allocentric and egocentric reference frames by shifting the landmarks as well as the observer. We asked participants to encode a three-dimensional configuration of balls and to reproduce this configuration from memory after a short delay followed by a landmark or an observer shift. We also manipulated the number of landmarks to test its effect on the use of allocentric and egocentric reference frames. We found that participants were less accurate when reproducing the configuration of balls after an observer shift, which was reflected in larger configurational errors. In addition, an increase in the number of landmarks led to a stronger reliance on allocentric cues and a weaker contribution of egocentric cues. In sum, our results highlight the important role of egocentric cues for allocentric spatial coding in the context of memory-guided actions.NEW & NOTEWORTHY Objects in our environment are coded relative to each other (allocentrically) and are thought to serve as independent and reliable cues (landmarks) in the context of unreliable egocentric signals. Contrary to this assumption, we demonstrate that egocentric cues alter the allocentric spatial memory, which could reflect recently discovered interactions between allocentric and egocentric neural processing pathways. Furthermore, additional landmarks lead to a higher contribution of allocentric and a lower contribution of egocentric cues.

Stimulus-Response Compatibility During Fighting Task Simulation: Influences of the Opponent's Spatial Codes on the Accuracy and Response Time.

Manual Reaction Time measures have been widely used to study interactions between perceptual, cognitive, and motor functions. The Stimulus-Response Compatibility is a phenomenon characterized through faster Manual Reaction Times when stimuli and response locations coincide (correspondent condition) than when they are on different sides (noncorrespondent condition). The present study adapted a protocol to study if the Stimulus-Response Compatibility effect can be detected during a virtual combat simulation. Twenty-seven participants were instructed to defend themselves by clicking a key in order to block the presented punch. Videos of two fighters were used, granting two types of basic strokes: the back fist, a punch performed with the dorsal part of the fighter's hand, starting at the opposite side to which it is directed; and the hook punch, performed with a clenched fist starting and finishing ipsilaterally. The Manual Reaction Times were different between the correspondent and noncorrespondent conditions, F(1, 26) = 9.925; p < .004; η2 = .276, with an Stimulus-Response Compatibility effect of 72ms. Errors were also different, F(1, 26) = 23.199; p < .001; η2 = .472, between the correspondent (13%) and the noncorrespondent conditions (23%). The study concluded that spatial codes presented at the beginning of the punch movement perception substantially influenced the response execution.

Light Codes for Fast Two-Way Human-Centric Visual Communication

Visual codes, such as QR codes, are widely used in several applications for conveying information to users. However, user interactions based on spatial codes (e.g., displaying codes on phone screens for exchanging contact information) are often tedious, time consuming, and prone to errors due to image corruptions such as noise, blur, saturation, and perspective distortions. We propose Light Codes (LICO), a novel method for fast and fluid exchange of information among users. Light codes are based on transmitting and receiving temporal codes (instead of spatial) using compact and low-cost transceiver devices. The resulting approach enables seamless and near instantaneous exchange of short messages among users with minimal physical and cognitive effort. We design novel coding techniques, hardware prototypes, and applications that are optimized for human-centric communication, and facilitate fast and fluid user-to-user interactions in various challenging conditions, including a range of distances, motion, and ambient illumination. We evaluate the performance of the proposed methods both via quantitative analysis and user study based comparisons with several existing approaches including display-camera links, Bluetooth, and near-field communication, which show strong preference toward Light Codes in various real-world application scenarios.

The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience.

Although much is known about how single neurons in the hippocampus represent an animal's position, how circuit interactions contribute to spatial coding is less well understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal highly structured CA1 cell-cell interactions in male rats during open field exploration. The statistics of these interactions depend on whether the animal is in a familiar or novel environment. In both conditions the circuit interactions optimize the encoding of spatial information, but for regimes that differ in the informativeness of their spatial inputs. This structure facilitates linear decodability, making the information easy to read out by downstream circuits. Overall, our findings suggest that the efficient coding hypothesis is not only applicable to individual neuron properties in the sensory periphery, but also to neural interactions in the central brain.SIGNIFICANCE STATEMENT Local circuit interactions play a key role in neural computation and are dynamically shaped by experience. However, measuring and assessing their effects during behavior remains a challenge. Here, we combine techniques from statistical physics and machine learning to develop new tools for determining the effects of local network interactions on neural population activity. This approach reveals highly structured local interactions between hippocampal neurons, which make the neural code more precise and easier to read out by downstream circuits, across different levels of experience. More generally, the novel combination of theory and data analysis in the framework of maximum entropy models enables traditional neural coding questions to be asked in naturalistic settings.

Parallel Chondrogenesis and Osteogenesis Tissue Morphogenesis in Muscle Tissue via Combinations of TGF-β Supergene Family Members.

This study aimed to decipher the temporal and spatial signaling code for clinical cartilage and bone regeneration. We investigated the effects of continuous equal dosages of a single, dual, or triplicate growth factor combination of bone morphogenetic protein (BMP)-2, transforming growth factor (TGF)-β3, and/or BMP-7 on muscle tissue over a culturing period. The hypothesis was that specific growth factor combinations at specific time points direct tissue transformation toward endochondral bone or cartilage formation. The harvested muscle tissues from F-344 adult male rats were cultured in 96-well plates maintained in a specific medium and cultured at specific conditions. And the multidimensional and multi-time point analyses were performed at both the genetic and protein levels. The results insinuate that the application of growth factor stimulates a chaotic tissue response that does not follow a chronological signaling cascade. Both osteogenic and chondrogenic genes showed upregulation after induction, a similar result was also observed in the semiquantitative analysis after immunohistochemical staining against different antigens. The study showed that multiple TGF-β superfamily proteins applied to tissue stimulate developmental tissue processes that do not follow current tissue formation rules. The findings contribute to the understanding of the chronological order of signals and expression patterns needed to achieve chondrogenesis, articular chondrogenesis, or osteogenesis, which is crucial for the development of treatments that can regrow bone and articular cartilage clinically.

Scene-adaptive pattern coding-based fringe projection profilometry: diffuse surfaces identification and 3-D reconstruction in cluttered scenes.

Fringe projection profilometry (FPP) is one of the most widely used optical three-dimensional (3-D) perceiving techniques. However, when applied to cluttered scenes, acquiring accurate 3-D shapes is difficult because of the influences of indirect light caused by non-diffuse surfaces. In this paper, we first theoretically analyze and model the influences of indirect light in FPP, and then propose a scene-adaptive pattern coding-based method, which can design projection patterns based on the reflective properties of the scene's surfaces, to achieve accurate 3-D perceiving in cluttered scenes. Specifically, the scene confidence analysis method is first proposed to identify the reflective properties of various surfaces and localize the camera pixels of the diffuse surface. The illumination status (i.e., "0" or "1") of each projector pixel can be determined according to the camera-projection coordinate mapping and spatial pattern coding, where only diffuse surfaces can be illuminated, thus fundamentally preventing the influences of indirect light from the point of view of the light source. The 3-D shapes of diffuse surfaces can be accurately reconstructed in cluttered scenes. Different from traditional reflective properties change or light separation solutions, the proposed method can achieve accurate 3-D perceiving of cluttered scenes without additional hardware or expensive calculation. Extensive experiments verify that the proposed method outperforms the traditional methods in terms of accuracy and robustness.

Theta oscillations as a substrate for medial prefrontal-hippocampal assembly interactions

The execution of cognitive functions requires coordinated circuit activity across different brain areas that involves the associated firing of neuronal assemblies. Here, we tested the circuit mechanism behind assembly interactions between the hippocampus and the medial prefrontal cortex (mPFC) of adult rats by recording neuronal populations during a rule-switching task. We identified functionally coupled CA1-mPFC cells that synchronized their activity beyond that expected from common spatial coding or oscillatory firing. When such cell pairs fired together, the mPFC cell strongly phase locked to CA1 theta oscillations and maintained consistent theta firing phases, independent of the theta timing of their CA1 counterpart. These functionally connected CA1-mPFC cells formed interconnected assemblies. While firing together with their CA1 assembly partners, mPFC cells fired along specific theta sequences. Our results suggest that upregulated theta oscillatory firing of mPFC cells can signal transient interactions with specific CA1 assemblies, thus enabling distributed computations.