Grant: Research Tools and Instruments
Queen's University
$150,000.00
Neurophotonic-electronic brain-machine interface system
FY 2019-20
Summary
Brain mapping and unlocking the brain circuitry, can open incredible opportunities for the diagnosis and treatment of brain disorders from Parkinson and Alzheimer's disease to mental disorders. This has been the driving force of the scientific community's effort and has resulted in several ground-breaking innovations in brain study methods (eg. optogenetics, connectomics, magnetic resonance imaging, supercomputers for simulating the brain etc.). Each of these approaches faces either technological or fundamental challenges. As such, a complete mapping of the networks of billions of neurons in the brain remains a challenge.******We are developing an electronic-photonic brain-machine interface system for simultaneous optical stimulation of the brain cortex along with electrical recording of neurons. Our system is composed of microlasers and light-switchable graphene-based electrodes. The microlasers are engineered to be analogous to biological neurons and emit spikes' as light pulses with high temporal resolution and micron-scale spatial resolution. These light spikes switch on the graphene-based electrodes on the cortex to deliver the required electric voltage for neurons stimulation.******For modulating the microlasers, we are requesting an arbitrary waveform generator (AWG). An AWG can output user-defined arbitrary shape waveforms at high speeds that can mimic real-world signals (eg. spikes). The electrodes must be ultra-conformal to the complex topology of the brain's cortex to enable stable stimulation and recording of the neurons. Therefore, the electrodes' substrate must be ultra-thin, transparent to light, and biocompatible. Parylene is the only polymer that can satisfy these requirements. We are requesting a parylene deposition system (ie. a coater) to make the substrates for fabricating the light-switchable graphene electrodes. ******This equipment will support our collaborative and interdisciplinary research program, and the training of our 19 HQP across three departments (eng. physics, electrical eng., neuroscience) in addition to 10+ HQP of our collaborators (chemical eng., chemistry) as part of the NSERC CREATE-MAPS program who access our lab equipment (such as e-beam evaporator) on a daily basis. Striving for diversity including balanced gender representation, inclusivity and advancement of under-represented groups, our team consists of a female postdoc (Venezuela), 3 female graduate and 5 female undergrad students, and 2 graduate students from underrepresented minority.******Enabled by the bidirectional communication between the biological and artificial microlaser neurons, the proposed system is capable of copying' a complex unknown network of neurons in the brain to a known network of hardware components on a chip. The copied network can be used to unlock the communication patterns of the brain. If successful on a large-scale, such a brain mapping technique could be used to study neurological disorders that affect 1 billion people globally.
Program
Research Tools and Instruments
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RTI-2020-00407
Name nom
Shastri, Bhavin
Department département
Physics, Engineering Physics & Astronomy
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2020
Award amount
150000
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1610
Committee name en
Electrical and Computer Engineering (RTI)
Committee name fr
Génie électrique et infomatique (OIR)
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2505
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Photon devices
Research subject fr
Dispositifs photoniques
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Neurophotonic-electronic brain-machine interface system
Keyword
NSERC
Application summary
Brain mapping and unlocking the brain circuitry, can open incredible opportunities for the diagnosis and treatment of brain disorders from Parkinson and Alzheimer's disease to mental disorders. This has been the driving force of the scientific community's effort and has resulted in several ground-breaking innovations in brain study methods (eg. optogenetics, connectomics, magnetic resonance imaging, supercomputers for simulating the brain etc.). Each of these approaches faces either technological or fundamental challenges. As such, a complete mapping of the networks of billions of neurons in the brain remains a challenge.******We are developing an electronic-photonic brain-machine interface system for simultaneous optical stimulation of the brain cortex along with electrical recording of neurons. Our system is composed of microlasers and light-switchable graphene-based electrodes. The microlasers are engineered to be analogous to biological neurons and emit spikes' as light pulses with high temporal resolution and micron-scale spatial resolution. These light spikes switch on the graphene-based electrodes on the cortex to deliver the required electric voltage for neurons stimulation.******For modulating the microlasers, we are requesting an arbitrary waveform generator (AWG). An AWG can output user-defined arbitrary shape waveforms at high speeds that can mimic real-world signals (eg. spikes). The electrodes must be ultra-conformal to the complex topology of the brain's cortex to enable stable stimulation and recording of the neurons. Therefore, the electrodes' substrate must be ultra-thin, transparent to light, and biocompatible. Parylene is the only polymer that can satisfy these requirements. We are requesting a parylene deposition system (ie. a coater) to make the substrates for fabricating the light-switchable graphene electrodes. ******This equipment will support our collaborative and interdisciplinary research program, and the training of our 19 HQP across three departments (eng. physics, electrical eng., neuroscience) in addition to 10+ HQP of our collaborators (chemical eng., chemistry) as part of the NSERC CREATE-MAPS program who access our lab equipment (such as e-beam evaporator) on a daily basis. Striving for diversity including balanced gender representation, inclusivity and advancement of under-represented groups, our team consists of a female postdoc (Venezuela), 3 female graduate and 5 female undergrad students, and 2 graduate students from underrepresented minority.******Enabled by the bidirectional communication between the biological and artificial microlaser neurons, the proposed system is capable of copying' a complex unknown network of neurons in the brain to a known network of hardware components on a chip. The copied network can be used to unlock the communication patterns of the brain. If successful on a large-scale, such a brain mapping technique could be used to study neurological disorders that affect 1 billion people globally.