Testing the channel-based model of duration perception

The channel-based model of duration perception postulates the existence of neural mechanisms that respond selectively to a narrow range of stimulus durations centred on their preferred duration (Heron et al Proceedings of the Royal Society B 279 690–698). In principle the channel-based model could
explain recent reports of adaptation-induced, visual duration compression effects (Johnston et al Current Biology 16 472–479; Curran and Benton Cognition 122 252–257); from this perspective duration compression is a consequence of the adapting stimuli being presented for a longer duration than the test stimuli. In the current experiment observers adapted to a sequence of moving random dot patterns at the same retinal position, each 340ms in duration and separated by a variable (500–1000ms) interval. Following adaptation observers judged the duration of a 600ms test stimulus at the same location. The test stimulus moved in the same, or opposite, direction as the adaptor. Contrary to the channel-based
model’s prediction, test stimulus duration appeared compressed, rather than expanded, when it moved in the same direction as the adaptor. That test stimulus duration was not distorted when moving in the opposite direction further suggests that visual timing mechanisms are influenced by additional neural processing associated with the stimulus being timed.

Sum-Rate and Power Scaling of Massive MIMO Systems with Channel Aging

This paper investigates the achievable sum-rate of massive multiple-input multiple-output (MIMO) systems in the presence of channel aging. For the uplink, by assuming that the base station (BS) deploys maximum ratio combining (MRC) or zero-forcing (ZF) receivers, we present tight closed-form lower bounds on the achievable sum-rate for both receivers with aged channel state information (CSI). In addition, the benefit of implementing channel prediction methods on the sum-rate is examined, and closed-form sum rate lower bounds are derived. Moreover, the impact of channel aging and channel prediction on the power scaling law is characterized. Extension to the downlink scenario and multi-cell scenario are also considered. It is found that, for a system with/without channel prediction, the transmit power of each user can be scaled down at most by 1= p M (where M is the number of BS antennas), which indicates that aged CSI does not degrade the power scaling law, and channel prediction does not enhance the power scaling law; instead, these phenomena affect the achievable sum-rate by degrading or enhancing the effective signal to interference and noise ratio, respectively.

Cross-layer Framework for Fine-grained Channel Access in Next Generation High-density WiFi Networks

Densely deployed WiFi networks will play a crucial role in providing the capacity for next generation mobile internet. However, due to increasing interference, overlapped channels in WiFi networks and throughput efficiency degradation, densely deployed WiFi networks is not a guarantee to obtain higher throughput. An emergent challenge is how to efficiently utilize scarce spectrum resources, by matching physical layer resources to traffic demand. In this aspect, access control allocation strategies play a pivotal role but remain too coarse-grained. As a solution, this research proposes a flexible framework for fine-grained channel width adaptation and multi-channel access in WiFi networks. This approach, named SFCA (Sub-carrier Fine-grained Channel Access), adopts DOFDM (Discontinuous Orthogonal Frequency Division Multiplexing) at the PHY layer. It allocates the frequency resource with a sub-carrier granularity, which facilitates the channel width adaptation for multi-channel access and thus brings more flexibility and higher frequency efficiency. The MAC layer uses a frequency-time domain backoff scheme, which combines the popular time-domain BEB scheme with a frequency-domain backoff to decrease access collision, resulting in higher access probability for the contending nodes. SFCA is compared with FICA (an established access scheme) showing significant outperformance. Finally we present results for next generation 802.11ac WiFi networks.

Channel Measurements of Device-to-Device Communications at 2.45 GHz

In the future, device-to-device communications will become a fundamental part of cellular communications. Interoperability between handsets will be facilitated using frequencies located in a number of bands including those found in the Industrial, Scientific and Medical (ISM) band at 2.45 GHz. In this paper, we present the results of channel measurements made between two hypothetical cellular handsets operating at 2.45 GHz in an outdoor environment. We consider a range of typical usage scenarios such as both user equipment being held at the head while imitating a voice call, placed in user's pocket for both stationary and dynamic links. A range of parameter estimates obtained using the shadowed κ-μ fading model are also presented.

Real-Time Channel Model Selection Using Windowed Received Signal Strength Measurements

This paper investigates the potential for using the windowed variance of the received signal strength to select from a set of predetermined channel models for a wireless ranging or localization system. An 868 MHz based measurement system was used to characterize the received signal strength (RSS) of the off-body link formed between two wireless nodes attached to either side of a human thorax and six base stations situated in the local surroundings.

A novel inhibitor of channel activating proteases: Putting the CAP on ENaC

Background: Excessive activation of epithelial sodium channels (ENaC) contributes to CF lung pathophysiology due to the resultant dehydration of the airway surface liquid (ASL) and impaired mucociliary clearance. Regulated proteolysis of the endogenous α and γ subunits of ENaC by apical membrane-bound Channel Activating Proteases (CAPs) is a fundamental regulatory mechanism for channel activity. In the CF lung a stark imbalance between the levels of CAPs and their natural inhibitors drives the activation of normally inactive ENaC. On this basis inhibition of CAPs-ENaC signalling represents a potential therapeutic intervention. To this end we have developed a novel cell impermeable active-site directed compound (QUB-TL1) designed to inactivate key trypsin-like CAPs highly relevant in this regard. Objectives & Methods: Utilize differentiated non-CF and CF human airway epithelial cells to assess the impact of QUB-TL1 on a range of parameters including surface CAP activities, ENaC subunit processing/channel activity, ASL height and mucociliary clearance. Results: Treatment of airway epithelial cells with QUB-TL1 results in the significant downregulation of key endogenous CAP activities found to be excessively active at the surface of CF cultures. QUB-TL1-mediated CAP inhibition subsequently causes the internalisation of a pool of processed (active) ENaCγ prominent at the apical surface of CF cultures which correlates with a decline in channel activity. This downregulation of ENaC activity results in an increase in ASL height and improved mucociliary clearance in CF cells. We further find QUB-TL1 uniquely inhibits the ENaC activating enzyme furin, which is in contrast to the alternate trypsin-like CAP inhibitors camostat mesylate and aprotinin. QUB-TL1-mediated furin inhibition correlates with a reduction in neutrophil elastase-induced ENaC activation. Moreover we find QUB-TL1 treatment protects CF cultures from Pseudomonas aeruginosa exotoxin A-induced cytotoxicity. Pseudomonas aeruginosa exotoxin A is a major toxic product activated by furin and positively associated with mortality. Conclusion: The novel inhibitor (QUB-TL1) dampens CAPs-ENaC signalling which improves hydration status mucociliary clearance in CF airway epithelial cell cultures. Moreover this compound provides additional benefit by preventing Pseudomonas aeruginosa exotoxin A-induced cytotoxicity.

TRP channel expression in human gingival fibroblasts

Background: The transient receptor potential (TRP) super family of ion channels is believed to play a critical role in sensory physiology, acting as transducers for thermal, mechanical and chemical stimuli. Our understanding of the role of TRP channel expression in gingival fibroblasts is currently limited. The role of non-neuronal TRP channel expression is an area of much research interest particularly since TRP channel activation has recently been hypothesised to be associated with inflammation. Objectives: The present study was designed to determine the expression of TRPV1, TRPV2, TRPV3 and TRPV4 on human gingival fibroblasts. Methods: Human gingival fibroblasts were derived by explant culture from surgical tissue following ethical approval. Cells were maintained in Dulbecco's modified Eagle's medium (DMEM), containing 10% fetal calf serum (FCS) in 5% CO2. Cell lysates of gingival fibroblasts were electrophoresed and blotted on to nitrocellulose before probing with specific anti-TRP antibodies. Immunoreactive bands were detected using anti-species antibodies and chemiluminescent detection. Results: Gingival fibroblasts were shown to express proteins corresponding to the TRPV1, TRPV2, TRPV3 and TRPV4 channels as determined by western blotting. Conclusion: This study reports for the first time the expression of TRPV1, TRPV2, TRPV3 and TRPV4 by gingival fibroblasts. Knowledge of the expression of TRP channels by human gingival fibroblasts will guide future research on the roles of TRP channels in sensing the external environment in the oral cavity.

'Heat-sensing' TRP channel expression in human odontoblasts

Background: Thermal changes in the oral cavity are a common trigger of dental pain. Several members of the transient receptor potential (TRP) super family of ion channels are believed to play a critical role in sensory physiology, where they act as transducers for thermal, mechanical and chemical stimuli. Objectives: The present study was designed to determine the expression and functionality of the TRPV1 channel in human odontoblasts. Methods: Cultured human odontoblasts were derived from dental pulp cells induced with 2 mM beta-glycerophosphate. Molecular and protein expression of TRPV1 was confirmed by PCR, western blotting and immunohistochemistry. Functional expression of the ‘heat-sensing' TRPV1 channel was investigated using a Ca2+ microfluorimetry assay in the presence of agonists/antagonists or with appropriate adjustment of the recording chamber temperature. Results: The odontoblastic phenotype of the cells was confirmed by the expression of the odontoblast markers dentin sialophosphoprotein (DSPP) and nestin. Expression of TRPV1 in human odontoblastic cells was confirmed by PCR, western blotting and immunohistochemistry. Odontoblasts were shown to respond to pharmacological agonists and to increasing temperature by an increase in intracellular Ca2+. Both the pharmacological and temperature responses could be blocked by specific antagonists. These results indicate that odontoblasts may sense heat via TRPV1. Conclusion: This study reports that TRPV1 is expressed by human odontoblasts and is activated by specific pharmacological agonists and by heat.
This work was supported by Research Grants from the Royal College of Surgeons of Edinburgh and the British Endodontic Society

Transient receptor potential (TRP) channel expression in pulpal fibroblasts

Introduction: Transient receptor potential (TRP) channels are widely, but not uniformly, distributed in tissues. To date the dominant focus of attention has been on TRP expression and functionality in neurons. However, their expression and activation in selected non-neuronal cells suggest TRPs have a potential role in coordinating cross-talk during the inflammatory process. Fibroblasts comprise the major cell type in the dental pulp and play an important role in pulpal inflammation. Objectives: The aim of this study was to investigate the expression and functionality of the TRP channels TRPA1, TRPM8, TRPV4 and TRPV1 in human dental pulp fibroblasts. Methods: Dental pulp fibroblasts were derived by explant culture of pulps removed from extracted healthy teeth. Fibroblasts were cultured in DMEM supplemented with 10% FCS, 100U/ml penicillin and 100µg/ml streptomycin. Protein expression of TRP channels was investigated by SDS- polyacrylamide gel electrophoresis and Western blotting of cell lysates from fibroblast cells in culture. TRPA1, TRPM8, TRPV4 and TRPV1 expression was determined by specific antibodies, detected using appropriate anti-species antibodies and chemiluminescence. Functionality of TRP channels was determined by Ca2+ microfluorimetry. Cells were grown on cover slips and incubated with Fura 2AM prior to stimulation with icilin (TRPA1 agonist), menthol (TRPM8 agonist), 4 alpha-phorbol 12,13-didecanoate (4alphaPDD) (TRPV4 agonist) or capsaicin (TRPV1 agonist). Emitted fluorescence (F340/F380) was used to determine intracellular [Ca2+] levels. Results: Fibroblast expression of TRPA1, TRPM8, TRPV4 and TRPV1 was confirmed at the protein level by Western blotting. Increased intracellular [Ca2+] levels in response to icillin, methanol, 4alphaPDD and capsacin, indicated functional expression of TRPA1, TRPM8, TRPV4 and TRPV respectively. Conclusions: The presence and functionality of TRP channels on dental pulp fibroblasts suggests a potential role for these cells in the pulpal neurogenic inflammatory response. (Supported by a research grant from the Royal College of Surgeons of Edinburgh).

Secure key generation from OFDM subcarriers' channel responses

The ability to exchange keys between users is vital in any wireless based security system. A key generation technique which exploits the randomness of the wireless channel is a promising alternative to existing key distribution techniques, e.g., public key cryptography. In this paper, a secure key generation scheme based on the subcarriers' channel responses in orthogonal frequency-division multiplexing (OFDM) systems is proposed. We first implement a time-variant multipath channel with its channel impulse response modelled as a wide sense stationary (WSS) uncorrelated scattering random process and demonstrate that each subcarrier's channel response is also a WSS random process. We then define the X% coherence time as the time required to produce an X% correlation coefficient in the autocorrelation function (ACF) of each channel tap, and find that when all the channel taps have the same Doppler power spectrum, all subcarriers' channel responses has the same ACF as the channel taps. The subcarrier's channel response is then sampled every X% coherence time and quantized into key bits. All the key sequences' randomness is tested using National Institute of Standards and Technology (NIST) statistical test suite and the results indicate that the commonly used sampling interval as 50% coherence time cannot guarantee the randomness of the key sequence.