82 research outputs found
A fly-robot interface to investigate the dynamics of closed-loop visuo-motor control in the blowfly
The blowfly Calliphora is one of the most sophisticated fliers in the animal kingdom.
It displays a broad repertoire of visually guided behaviours that can readily
be quantified, including gaze and flight stabilization reflexes, male chasing flights,
collision avoidance and landing responses. The fly achieves such robust visuo-motor
control tasks based on a comparatively simple nervous system that is highly
accessible for electrophysiological recordings. The ability to investigate the fly’s
performance at the behavioural and electrophysiology levels makes this animal an
ideal model system to study closed-loop visual motor control.
The aim of this thesis was to develop and characterize the dynamics of a fly-robot
interface (FRI) while a fly performs a closed-loop visual stabilization task.
A novel experimental setup involving a FRI was developed which allowed for simultaneous
measurements of neural activity from the fly and the behavioural performance
of the robot. In the setup, the neural activity of an identified visual interneuron,
the H1 cell, was recorded and its action potentials were used to control
the motion of a mobile robot that was free to rotate along its vertical axis. External
visual perturbations were introduced into the closed-loop system through a rotating
turn-table with the robot using the neural activity to counter-rotate and to minimize
the observed visual motion. The closed-loop control delay of the FRI was 50 ms
which is well within the range of visual response delays observed in fly behaviour.
With the FRI, the closed-loop dynamics of a static-gain proportional controller
were characterized. The results explain significant oscillations in the closed-loop
responses as a possible consequence of a high controller gain which were also
observed but never fully interpreted in previous behavioural studies. Varying the controller gain also offers competing control benefits to the fly, with different gains
maximizing performance for different input frequency ranges and thus different
behavioural tasks.
Results with the proportional controller indicate the dependence of the FRI frequency
response on the angular acceleration of visual motion. An adaptive controller
designed to dynamically scale the feedback gain was found to increase the
bandwidth of the frequency response when compared with the static-gain proportional
controller.
The image velocities observed under closed-loop conditions using the proportional
and the adaptive controllers were correlated with the spiking activity of the H1-cell.
A remarkable qualitative similarity was found between the response dynamics of
the cell under closed-loop conditions with those obtained in previous open-loop
experiments. Specifically, (i) the peak spike rate decreased when the mean image
velocity was increased, (ii) the relationship between spike rate and image velocity
was dependant on the standard deviation of the image velocities suggesting adaptive
scaling of the cell’s signalling range, and (iii) the cell’s gain decreased linearly
with increasing image accelerations.
Despite the fact that several sensory modalities - including the motion vision pathway
- process information in a non-linear fashion signal integration at stages one to
two synapses away from the motor systems and the behavioural output itself have
been shown to be linear. Quantifying the closed-loop dynamics of visuo-motor
control at both the behavioural and neuronal level, may provide a starting point to
discover the neural mechanisms underlying an appropriate combination of complementary
non-linear processes which ultimately result in a linear performance of the
overall system
A Multi-faceted Semi-Synthetic Dataset for Automated Cyberbullying Detection
In recent years, the rising use of social media has propelled automated
cyberbullying detection into a prominent research domain. However, challenges
persist due to the absence of a standardized definition and universally
accepted datasets. Many researchers now view cyberbullying as a facet of
cyberaggression, encompassing factors like repetition, peer relationships, and
harmful intent in addition to online aggression. Acquiring comprehensive data
reflective of all cyberbullying components from social media networks proves to
be a complex task. This paper provides a description of an extensive
semi-synthetic cyberbullying dataset that incorporates all of the essential
aspects of cyberbullying, including aggression, repetition, peer relationships,
and intent to harm. The method of creating the dataset is succinctly outlined,
and a detailed overview of the publicly accessible dataset is additionally
presented. This accompanying data article provides an in-depth look at the
dataset, increasing transparency and enabling replication. It also aids in a
deeper understanding of the data, supporting broader research use
How director remuneration impacts firm performance: an empirical analysis of executive director remuneration in Pakistan
This study empirically investigates the interrelationship between pay and performance of CEOs/board of directors in an emerging market, Pakistan. The study uses GMM approach to account for the problem of potential endogeneity and unobserved heterogeneity that arises due to the potential reverse causality (pay and performance) for a sample of non-financial firms listed in the KSE over the period of 2009e2016. This study provides evidence that pays-performance framework supports the agency theory whereby CEOs/board of directors are compensated for their
prior level of market-based performance. In addition, pay performance framework weakly support the notion of the steward/tournament theory where the CEOs/board directors pay sensitivity weakly enhanced the firm performance. Thus, CEOs/board director's remuneration is highly
persistent and takes time to adjust to long-run equilibrium
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
The non-stationary nature and variability of neuronal signals is a fundamental problem in brain-machine interfacing. We developed a brain-machine interface to assess the robustness of different control-laws applied to a closed-loop image stabilization task. Taking advantage of the well-characterized fly visuomotor pathway we record the electrical activity from an identified, motion-sensitive neuron, H1, to control the yaw rotation of a two-wheeled robot. The robot is equipped with 2 high-speed video cameras providing visual motion input to a fly placed in front of 2 CRT computer monitors. The activity of the H1 neuron indicates the direction and relative speed of the robot's rotation. The neural activity is filtered and fed back into the steering system of the robot by means of proportional and proportional/adaptive control. Our goal is to test and optimize the performance of various control laws under closed-loop conditions for a broader application also in other brain machine interfaces
Determinants of Dropout and Child School Enrollment: A Case Study from Rural Islamabad
Education is an important pillar for the development of any society. Generally, school enrollment in developing countries is observed very low compared to the developed countries and the situation is further worsened by the high dropout rate. The current study investigates the major factors responsible for high dropouts in Islamabad, Pakistan, particularly in rural areas. For this purpose, the primary data have been obtained through a detailed questionnaire collecting information on child socioeconomic, household, cultural, and other characteristics. For modeling purposes, Probit model is used to investigate the effects of various factors on high child dropout rate. The results revealed that besides the distance from school to home, financial constraints are the most important reason for dropping out. Moreover, the education of father, age of the child and the gender of the child are also highly significant variables that determine the probability of a child dropout
Outcome of internal fixation procedure: miniplate vs cross K wires for displaced metacarpal metaphyseal fracture
Background: Metacarpal fractures are considered a frequent orthopedic injury seen commonly in emergency units. Objectibe of thestudy was to compare the outcome of internal fixation procedure of miniplate versus cross kirschner wires (k-wires) for displaced metacarpal metaphyseal fractures.Methods: In this experimental prospective study, 100 patients with metacarpal metaphyseal fracture were considered. internal fixation was done by miniplate in one group and cross k wires in other group. Outcomes in terms of radiological union were compared between both groups. The data was analyzed by using SPSS for windows (version 26.0).Results: Mean age of the patients was 38.70±13.61 years. Male to female ratio of the patients was 1.2:1. The radiological success was noted in 76 (76.0%) patients. Statistically insignificant difference was found between the study groups in terms of radiological success of the patients (p=0.6396). K wire fixation was recorded to have significantly shorter duration of operation time in comparison to miniplate fixation (p=0.0001).Conclusions: The internal fixation procedure of both miniplate and k wire are equally effective in terms of radiological success for management displaced metacarpal metaphysis fractures. As compared to miniplate fixation, K wire fixation was found to have significantly shorter duration of operation time
SPATA: Strong Pseudonym based AuthenTicAtion in Intelligent Transport System
Intelligent Transport System (ITS) is generally deployed to improve road safety, comfort, security, and traffic efficiency. A robust mechanism of authentication and secure communication is required to protect privacy and conditional resolution of pseudonyms to revoke malicious vehicles. In a typical ITS framework, a station can be a vehicle, Road Side Unit (RSU), or a server that can participate in communication. During authentication, the real identity of an Intelligent Transport System-Station (ITSS), referred to as a vehiclečň should not be revealed in order to preserve its privacy. In this paper, we propose a Strong Pseudonym based AutenTicAtion (SPATA) framework for preserving the real identity of vehicles. The distributed architecture of SPATA allows vehicles to generate pseudonyms in a very private and secure way. In the absence of a distributed architecture, the privacy cannot be preserved by storing information regarding vehicles in a single location. Therefore, the concept of linkability of certificates based on single authority is eliminated. This is done by keeping the real identity to pseudonym mappings distributed. Furthermore, the size of the Certificate Revocation List (CRL) is kept small, as only the most recent revoked communication pseudonyms are kept in the CRL. The privacy of the vehicle is preserved during the revocation and resolution phase through the distributed mechanism. Empirical results show that SPATA is a lightweight framework with low computational overhead, average latency, overhead ratio, and stable delivery ratio, in both sparse and dense network scenarios
State-of-the-art clinical assessment of hand function
We have assembled a multi-disciplinary team of engineers, surgeons, clinicians and neuroscientists from Johns Hopkins School of Medicine and Western University to develop a new device for assessing hand function. It will be capable of sensitively measuring fingertip forces across all five fingers and along all movement directions. Then we can use this device to develop and validate a clinical hand assessment for patients with brain injuries.https://ir.lib.uwo.ca/brainscanprojectsummaries/1005/thumbnail.jp
Structure of population activity in primary motor cortex for single finger flexion and extension
Copyright © 2020 the authors How is the primary motor cortex (M1) organized to control fine finger movements? We investigated the population activity in M1 for single finger flexion and extension, using 7T functional magnetic resonance imaging (fMRI) in female and male human participants and compared these results to the neural spiking patterns recorded in two male monkeys performing the identical task. fMRI activity patterns were distinct for movements of different fingers, but were quite similar for flexion and extension of the same finger. In contrast, spiking patterns in monkeys were quite distinct for both fingers and directions, which is similar to what was found for muscular activity patterns. The discrepancy between fMRI and electrophysiological measurements can be explained by two (non-mutually exclusive) characteristics of the organization of finger flexion and extension movements. Given that fMRI reflects predominantly input and recurrent activity, the results can be explained by an architecture in which neural populations that control flexion or extension of the same finger produce distinct outputs, but interact tightly with each other and receive similar inputs. Additionally, neurons tuned to different movement directions for the same finger (or combination of fingers) may cluster closely together, while neurons that control different finger combinations may be more spatially separated. When measuring this organization with fMRI at a coarse spatial scale, the activity patterns for flexion and extension of the same finger would appear very similar. Overall, we suggest that the discrepancy between fMRI and electrophysiological measurements provides new insights into the general organization of fine finger movements in M1
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