
NSF Org: |
IOS Division Of Integrative Organismal Systems |
Recipient: |
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Initial Amendment Date: | April 18, 2016 |
Latest Amendment Date: | April 1, 2019 |
Award Number: | 1557858 |
Award Instrument: | Continuing Grant |
Program Manager: |
Sridhar Raghavachari
sraghava@nsf.gov (703)292-4845 IOS Division Of Integrative Organismal Systems BIO Directorate for Biological Sciences |
Start Date: | April 15, 2016 |
End Date: | March 31, 2020 (Estimated) |
Total Intended Award Amount: | $425,000.00 |
Total Awarded Amount to Date: | $425,000.00 |
Funds Obligated to Date: |
FY 2017 = $150,000.00 FY 2018 = $100,000.00 FY 2019 = $81,250.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
3400 N CHARLES ST BALTIMORE MD US 21218-2608 (443)997-1898 |
Sponsor Congressional District: |
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Primary Place of Performance: |
3400 N. Charles St Baltimore MD US 21218-2608 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
PHYSICS OF LIVING SYSTEMS, Cross-BIO Activities, Activation |
Primary Program Source: |
01001718DB NSF RESEARCH & RELATED ACTIVIT 01001819DB NSF RESEARCH & RELATED ACTIVIT 01001920DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.074 |
ABSTRACT
Animals, including humans, routinely use movement to sense the world around them. For example, to sense the texture of an object, a person might move her hand over the surface, whereas to measure the object's weight, she might hold it in her palm and move it up and down. This use of different movements to sense features of the environment is called Active Sensing. Although active sensing is commonplace in human behavior, how the brain generates and controls these movements is poorly understood. The goal of this project is to reveal and describe (in mathematical equations) the brain's strategies for active sensing. This will be achieved by studying a specialized animal species, the weakly electric glass knifefish. This animal was chosen because it has a suite of properties that make it ideally suited for the experimental approach. The expected findings will have broad implications for active sensing in other animals (including humans) because active sensing behaviors are similar across species. This work will have broad societal impacts, including the possible transformation of robotic control systems and enhanced understanding of the brain that may ultimately improve our understanding of neurological disorders. Further this work includes multidisciplinary training of promising students in critical STEM fields.
The central hypothesis for this research is that organisms adjust active movements in order to tune the resulting sensory feedback to match processing features of CNS circuits. This is a challenging problem because sensory inputs and motor outputs are linked by a closed loop. The experimental approach overcomes this challenge by (1) exploiting unique features of a well-suited model system, weakly electric fishes, (2) developing a closed-loop behavioral control system, and (3) performing chronic neurophysiological recordings in freely swimming fish. This integrated approach will enable the quantification of neuromechanical control strategies that organisms use to produce and modulate movements for active sensing, identification of cellular and synaptic mechanisms underlying neural responses to feedback from active movements, and discovery of how these changes in active movements affect sensorimotor integration in midbrain circuits.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
A staggering diversity of animals face a similar task: how to process sensory input, through multiple levels of the nervous system, to control movement? When an animal moves, this movement stimulates its own sensory receptors, providing feedback used in the control of subsequent movement. In active sensing, animals alter the patterns of sensory feedback by changing the patterns of their movements for the purpose of sensing. For example, you move your hand in distinct and deliberate ways to sense an objects weight, shape, texture, or temperature. Such active movements for sensing are found across animal species and the neural underpinnings of active sensing remain a mystery.
Intellectual Merit
'Active sensing' is the process by which animals (including humans) expend energy to alter the sensory feedback they receive to achieve behavioral goals. A challenge of studying active sensing is that it occurs in 'closed-loop': ongoing sensory feedback is used to alter subsequent movements, that in turn shape sensory feedback. For example, when you hunt for the bathroom light switch at night, you are using the same set of muscles for two ends: gathering information (i.e. "feeling" your way around) as well as achieving your motor goal ("lights on").
This work addresses this challenge by examining the consequences of opening and closing this feedback loop in a well-suited animal model, weakly electric fish. This remarkable creature allows for investigating the interplay between sensory information and motor programs for active sensing. Indeed, a key discovery enabled by this project was that active sensing movements in weakly electric fish are under continuous feedback control, as reported in Biswas et al,2019, which appeared in Current Biology. The graphical image included shows a bottom view of an electric fish as it swims forward and backward to active probe its environment. In this unique experimental manipulation, the movement of the refuge was linked to the movement of the fish, creating an augmented sensory experience. The researchers showed that despite this manipulation, the fish modulated its own output so that the error signal remained constant.
The findings from this project have been published in a wide variety of venues including open-access journals such as eLife and Scientific Reports. The results published from this work are relevant to a broad range of tasks, sensory modalities, and motor systems found across animal species including humans.
Broader Impacts
Through this work we have trained a wide range of graduate and undergraduate students, including several from groups traditionally underrepresented in STEM fields. This training has included hands-on research experiences, training in multidisciplinary science and engineering approaches to biology, presentation of work to international scientific audiences at major science meetings, and co-authorship of papers in top journals.
Last Modified: 06/03/2020
Modified by: Noah J Cowan
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