The Connecticut Institute for the Brain and Cognitive Sciences (CT IBACS) is inviting applications to its Graduate Fellowship Program.
These summer fellowships are intended for graduate students working on topics with relevance (broadly construed) to the Brain and Cognitive Sciences. IBACS Graduate Fellows attend a short grant-writing workshop and will be expected to submit an application to the NSF GRFP, NRSA (pre- or post-doctoral fellowship), or equivalent, in the Fall.
Deadline for receipt of applications is Friday, December 11, 2020.
Graduate students who are not US citizens are eligible to apply and are expected to work with their advisor to develop an external research proposal if they are not eligible for graduate fellowships. Students who were fellows in 2020 may apply if they submitted the external grant proposal they developed last year and it was not funded, with the expectation that they will revise their previous grant or develop a new one.
Please refer to the full details here.
This event will be held virtually on Zoom. Please note that the majority of the talks will be pre-recorded and played during the event, although attendees can ask questions to the speakers live. The panel discussion and Keynote Speaker talk will both be live. The program is attached and also available on our website. Zoom details will come soon – please visit this webpage for the most up-to-date information.
This event will provide an opportunity to learn more about the diverse research that IBACS affiliates are engaged in, and will provide a forum for cross-disciplinary networking. We hope you can join us on October 10th to celebrate our 5-year anniversary!
If you are interested in attending all or part of this event, please pre-register by Friday, October 2nd. Note that pre-registration is just to give us an idea of the number to expect over Zoom.
About John Gabrieli:
Talk title: Environmental Influences on Human Brain Development
IBACS is happy to announce the fifth year of the undergraduate research grant program!
The application period for the Fall 2020/Spring 2021 research grant program opens today, Tuesday, September 1st, 2020, and the deadline for applications will be 11:59 pm on Monday, February 22nd, 2021. Note that the academic year applications will now be reviewed on a rolling basis and awards will be made until funds are exhausted, or up until the application deadline. In other words, apply early!
It is expected that applicants will be conducting research with IBACS faculty members, focusing on any research area associated with the IBACS mission. Faculty sponsors will need to supply a letter of recommendation. Once the applicant lists the faculty advisor of the project in the form, an email will be sent to the faculty member with directions for how to submit the letter. Applicants must fill out the online application, and also submit via the online application, a relatively short research plan (maximum of 6,000 characters, approximately 3 pages) and a budget that explains in detail how the funds will be spent. The application link is listed below. It is recommended that the student first compose the research plan and budget using a word processing program, and then upload the final versions on to the website.
THIS PROGRAM IS NOT MEANT TO PROVIDE DIRECT FINANCIAL SUPPORT TO STUDENTS. Instead, it is meant to provide support for the research. The account will be set up with the faculty sponsor after the award is given. It is expected that there will be ten awards of up to $1,000 during the Fall 2020/Spring 2021 academic year. The funding is meant to defray the research-related costs such as materials & supplies, minor equipment, software, animal or participant-related costs. The budget should reflect these expenditures.
Recipients cannot apply for another grant within the same academic year, however, are eligible for the summer research grant program, provided that they are still a UConn student at the time. Please note that the application period for the summer research grant program will open on Monday, February 22nd, 2021, and the deadline for applications will be 11:59 pm on Friday, March 12th, 2021.
All recipients are encouraged to present their work at the Frontiers in Undergraduate Research Poster Exhibition.
The IBACS undergraduate award academic year applications are reviewed based on the following criteria:
- The project description is well written and clearly explains the project.
- The project clearly focuses on a research area associated with the IBACS mission.
- The budget is itemized, appropriate to the project described, and reports the total cost of the project (even if it exceeds the funding requested).
- The advisor is familiar with the student’s project and rates the student’s work to date highly.
- Where project applications are equally meritorious, the reviewers will take note of how the student’s project will contribute to the advisor’s research goals.
- The student and his/her project meet the eligibility criteria.
- The student has secured research compliance approval(s) if necessary for the project. No award will be issued until documentation of approval(s) is received.
IBACS Fall 2020/Spring 2021 Application: https://quest.uconn.edu/prog/ibacs_undergraduate_research_grant_-_fall_2020spring_2021/
Please visit our website for more information.
The Connecticut Institute for the Brain and Cognitive Sciences (CT IBACS) is pleased to announce a new call for applications to its seed grant fund. Full details (and forms for the required letter of intent) can be found on the Institute website.
The seed fund is intended to fund activities in the Brain and Cognitive Sciences (broadly construed) that are likely to lead to applications for external funding, or which otherwise contribute to the mission of the Institute. Successful applications will typically involve collaborations that require expertise across laboratories and traditional disciplinary boundaries. The Institute does not usually fund research that might normally be considered to fall within the scope of a single lab or discipline.
Applications for small grants (<$10,000) can be submitted at any time; applications in excess of $10,000 should be submitted by October 1st.
Please submit letters of intent as soon as possible, but at least 2 weeks prior to the seed grant application deadline (by 9/17/20), to allow time for review and feedback.
The Institute also invites applications for affiliate memberships.
IBACS Summer Fellow Martin Flament Fultot, will be giving his doctoral dissertation defense on Wednesday, July 22nd at 12:00 PM in a Virtual Conference Room. A copy of the dissertation entitled “Tensegrity and Recurrent Neural Networks: Towards an ecological model of postural coordination” is available from the Graduate Program Office (firstname.lastname@example.org).
Virtual Meeting Details:
Meeting ID: 561 074 2546
Join by phone: +1 302-273-8917 (PIN: 736590208)
Title of dissertation: Tensegrity and Recurrent Neural Networks: Towards an ecological model of postural coordination
Major Advisor: James Dixon
Abstract: Tensegrity systems have been proposed as both the medium of haptic perception and the functional architecture of motor coordination in animals. However, a full working model integrating those two aspects with some form of neural implementation is still lacking.In this dissertation, a basic two-dimensional cross-tensegrity plant was designed and its mechanics simulated. The plant was coupled to a Recurrent Neural Network (RNN), because of the latter’s anticipatory properties and distributed internal dynamics. The model’s task was to maintain postural balance against gravity despite the intrinsically unstable configuration of the tensegrity plant. The RNN took only proprioceptive input about the springs’ lengths and rate of length change and output minimum lengths for each spring which reset their Hookean profiles and modulated their interaction with the plant’s inertial kinetics. An evolutionary optimization algorithm generated four artificial agents capable of coordinating the patterns of spring contractions in order to maintain dynamic equilibrium. A first study assessed quiet standing performance and revealed coordinative patterns between the tensegrity rods akinto humans’ strategy of anti-phase hip-ankle relative phase. The agents showed a mixture of periodic and aperiodic trajectories of their Center of Mass. Moreover, the agents seemed to tune to the anticipatory “time-to-balance” quantity in order to maintain their movements within a region of reversibility. A second study perturbed the system with mechanical platform shifts and sensorimotor degradation. The agents’ response to the mechanical perturbation was robust and most could maintain balance afterwards. Dimensionality analysis of the RNNs’ unit activations revealed a pattern of slight degree of freedom recruitment during the timesteps following the onset of perturbation. In the degradation sub-study, different levels of noise were added to the inputs to the RNN and different levels of weakening gain were applied to the forces generated by the springs to mimic haptic degradation and muscular weakening in elderly humans. As expected, the systems performed less well, falling earlier than without the insults. However, the same systems re-evolved again under the degraded conditions saw significant functional recovery. Overall, the dissertation supports the plausibility of RNN cum tensegrity models of haptic-guided postural coordination in humans.
A reminder that The Institute for the Brain and Cognitive Sciences (IBACS) & the School of Engineering are co-hosting a virtual Meet & Speak which will cover new research in computational modeling, machine learning, and AI approaches applied to human cognition, brain function, speech and language, disease, and related areas. The meeting will offer an opportunity to foster greater cross-college discourse and collaboration, and may serve as a foundation for further developments in computational modeling at UConn. The Meet & Speak is scheduled for Wednesday, May 6th, 12pm-3pm on Zoom. You will be able to join the meeting by visiting this webpage. Please note that the event will be recorded and posted on the webpage shortly after.
Attendees will not have their audio or video enabled, but will be able to submit questions during each talk using the Q&A feature on Zoom – instructions will be provided on the website.
Further details (including the schedule of talks with titles and abstracts, and instructions for attending the webinar) can be found at ibacs.uconn.edu/events-may6/.
Attendees will be able to submit questions during each talk using the Q&A feature. Our hosts will select questions during/after the talk. If your question is selected, the host will temporarily turn on your microphone and call on you to ask your question directly.
There will be 12 speakers, each taking up a 12-minute slot including questions (speakers have been asked to limit their talks to 8-9 minutes). These speakers are a sample of faculty with interests in computational modeling. We could not include all the faculty with such interests and our apologies if we did not include you – one purpose of this meeting is to use this as a starting point for identifying researchers at UConn who share these computational interests.
Speakers (and relevant research interests):
1. Gerry Altmann (Director, IBACS; Psychological Sciences): Language and event comprehension in Recurrent Neural Networks.
2. Jim Magnuson (Psychological Sciences): Bridging the gaps between automatic speech recognition and human speech recognition.
3. Whit Tabor (Psychological Sciences): Language processing within a Dynamical Systems approach to Cognition.
4. Jay Rueckl (Psychological Sciences): Connectionist modeling of literacy development.
5. Ed Large (Psychological Sciences): Oscillator models of rhythm and music perception.
6. Ian Stevenson (Psychology): Modeling neural dynamics and information encoding within the human brain.
7. Monty Escabi (Biomedical Engineering): Algorithms for modeling how neurons process complex sounds.
8. Sabato Santaniello (Biomedical Engineering): Biophysically-principled modeling for brain disorders and neuromodulation
9. Derek Aguiar (Computer Science & Engineering): Probabilistic machine learning models to better understand genomics and genetics data applied to complex disease.
10. Jinbo Bi (Associate Head, Computer Science & Engineering): Machine learning and Data mining for Bioinformatics, Medical informatics, and Drug discovery
11. Ranjan Srivastava (Head of Chemical & Biomolecular Engineering): Mathematical models of biological systems.
12. Caiwen Ding (Computer Science & Engineering): Machine Learning & Deep Neural Networks
Further details (including schedule of talks, with titles and abstracts when available) can be found at ibacs.uconn.edu/events-may6/.
Dear Research Community,
In light of recent University and state announcements about the COVID-19/Coronavirus, we’ve decided to postpone our Meet & Speak event. We will be reaching out to all speakers to try and find a date in the Fall that will work for our internal speakers as well as our external speaker. We apologize to our speakers and attendees for any inconvenience this may cause. Thank you, and please reach out to us if you have any questions or concerns.
CT Institute for the Brain and Cognitive Sciences