Publications
Publications that acknowledge InsectNeuroNano
Free-standing millimeter-range 3D waveguides for on-chip optical interconnects
Artur Andrishak, Bejoys Jacob, Tiago L. Alves, Christian Maibohm, Bruno Romeira & Jana B. Nieder. Sci Rep 14, 18899 (2024). https://doi.org/10.1038/s41598-024-69522-0
In this work, we address the challenge of heterogeneous integration of ultracompact light sources in emitter-receiver configurations through waveguide networks. We employ two-photon polymerization (TPP) to microprint 3D suspended polymer waveguides capable of achieving up to 900 micrometers in length without needing intermediary mechanical support structures. This suspended waveguide architecture allows us to cross waveguides in 3D , increasing interconnect density while maintaining a compact physical footprint. As proof of concept, we microprint these waveguides directly on a GaAs semiconductor chip containing microLEDs optically interconnecting these photonic devices. Such interconnected systems can serve as building blocks of future complex integrated heterogeneous photonic networks including neuromorphic systems.
Robust Red-Absorbing Donor-Acceptor Stenhouse Adduct Photoswitches
Abbey Meprathu Philip, Marie Erskov Krogh, Bo Wegge Laursen, Chem. Eur. J. 2024, e202400621.
https://doi.org/10.1002/chem.202400621
In this work, we present guidelines for creating robust donor-acceptor Stenhouse adduct (DASA) photochromes, focusing on their molecular structure and properties. Our comprehensive investigation shows that for achieving reversible and robust photoswitching, it is important to design DASA photochromes with low charge separation. We also discuss other factors that can affect DASA photoswitching in polymer thin films, which is critical for their pragmatic utility in memory/logic applications.
Emergent spatial goals in an integrative model of the insect central complex.
Roman Goulard, Stanley Heinze, Barbara Webb. PLoS Comput Biol. 2023 Dec 18;19(12):e1011480.
doi: 10.1371/journal.pcbi.1011480.
Even tiny animals with reduced neuronal resources need to solve 2 dimension spatial problems. In this paper, we modelled a neural network, based on the central complex connectivity, that sustains insect visual-guided navigation both to a landmark and following a previously learned route. This combined different features that have been previously highlighted in the insect brain, (1) an inner compass, allowing an allocentric representation of their orientation, (2) a positioning system, inherited from their ability to integrate their path, (3) a long-term memory of relevant locations in the environment, that allows insect to revisit feeders repeatedly for example, and (4) a sensory guidance system that provides a stable goal direction when a rewarded signal is provided. We combined these different circuits in a complementary fashion, suggesting a crucial role for path integration in all insect navigation, beyond simply ensuring homing behaviour. Specifically, using the capability of the central complex neuronal circuit to store and manipulate navigational vectors, our implementation encodes the allocentric position of the navigation goal by combining a sensory-based vector, directed toward a goal, and a homing vector, directed toward a stable origin. We show this improves significantly the navigation in two visual-guidance paradigms, reaching a distant recognised target and following a route based on a panoramic memory.
Artificial nanophotonic neuron with internal memory for biologically inspired and reservoir network computing.
David Winge, Magnus Borgström, Erik Lind, and Anders Mikkelsen. 2023 Neuromorph. Comput. Eng. 3 034011.
DOI 10.1088/2634-4386/acf684
Room-temperature electroluminescence and light detection from III-V unipolar microLEDs without p-type doping
Bejoys Jacob, Filipe Camarneiro, Jérôme Borme, José M. L. Figueiredo, Jana B. Nieder, and Bruno Romeira, Optica 10, 528-537 (2023) https://doi.org/10.1364/OPTICA.476938
Brain-inspired nanophotonic spike computing: challenges and prospects.
Bruno Romeira, Ricardo Adão, Jana B Nieder, et al. 2023 Neuromorph. Comput. Eng. 3 033001.
Focus Issue on Photonic Neuromorphic Engineering and Neuron-Inspired Processing.
DOI 10.1088/2634-4386/acdf17
Optical-Beam-Induced Current in InAs/InP Nanowires for Hot-Carrier Photovoltaics
Jonatan Fast, Yen-Po Liu, Yang Chen, Lars Samuelson, Adam M. Burke, Heiner Linke, and Anders Mikkelsen. ACS Appl. Energy Mater. 2022, 5, 6, 7728–7734. https://doi.org/10.1021/acsaem.2c01208
Celestial compass sensor mimics the insect eye for navigation under cloudy and occluded skies.
We designed a compass sensor inspired by insect eyes' anatomy. The sensor includes eight polarisation analysers that point in different directions in the sky. A simple integration of their readings converts the skylight into a global orientation. We showed that our sensor can extract orientation even in cloudy and covered skies. This is particularly valuable for robots and autonomous vehicles that navigate outdoors.
Gkanias, E., Mitchell, R., Stankiewicz, J. et al. Commun Eng 2, 82 (2023).
https://doi.org/10.1038/s44172-023-00132-w
The research in this project builds on previous work in the papers listed below.
Bees perform impressive vector navigation feats while foraging over long distances. Patel et al. show that bumblebees also use path integration over short distances while walking in the laboratory. This vector navigation behavior is easily controlled and also resilient to anesthetization and surgeries that are commonly required for invasive electrophysiological investigations. The scaled down transfer of a naturalistic behavior into a tightly controlled laboratory setting now opens the path to directly investigate the mechanisms underlying navigational memories in the behaving bee.
Vector navigation in walking bumblebees.
Rickesh N. Patel, Julian Kempenaers, Stanley Heinze.
Current Biology, 2022, https://doi.org/10.1016/j.cub.2022.05.010.
https://www.sciencedirect.com/science/article/pii/S0960982222007692
Here, we propose an optoelectronic circuit in a circular arrangement which is based on our understanding of biological neural circuits.
Implementing an insect brain computational circuit using III-V nanowire components in a single shared waveguide optical network.
David Olof Winge, Steven Limpert, Heiner Linke, Magnus T Borgström, Barbara Webb, Stanley Heinze & Anders Mikkelsen. ACS Photonics (2020) doi:10.1021/acsphotonics.0c01003.
High Responsivity of InP/InAsP Nanowire Array Broadband Photodetectors Enhanced by Optical Gating.
Mohammad Karimi, Xulu Zeng, Bernd Witzigmann, Lars Samuelson, Magnus T. Borgström, and Håkan Pettersson. Nano Letters (2019), doi: 10.1021/acs.nanolett.9b02494
InP nanowire array solar cells achieving 13.8% efficiency by exceeding the ray optics limit.
Jesper Wallentin, Nicklas Anttu, Damir Asoli, Maria Huffman, Ingvar Åberg, Martin H Magnusson, Gerald Siefer, Peter Fuss-Kailuweit, Frank Dimroth, Bernd Witzigmann, HQ Xu, Lars Samuelson, Knut Deppert, Magnus T Borgström. Science (2013) doi: 10.1126/science.1230969
Unraveling the Ultrafast Hot Electron Dynamics in Semiconductor Nanowires.
Lucas Wittenbecher, Emil V. Boström, Jan Vogelsang, Sebastian Lehman, Kimberly A. Dick, Claudio Verdozzi, Donatas Zigmantas, and Anders Mikkelsen. ACS Nano (2021) doi: 10.1021/acsnano.0c08101
Ulta-Bright Fluorescent Organic Nanoparticles based on Small-Molecule Ionic Isolation Lattices, Junsheng Chen, S. M. Ali Fateminia, Laura Kacenauskaite, Nicolai Bærentsen, Karen L. Martinez, Amar H. Flood, Bo W. Laursen. Angewandte Chemie International Edition, 2021, DOI: 10.1002/anie.202100950 ChemRxiv version: https://doi.org/10.26434/chemrxiv.13584995.v1
Laura Kacenauskaite, Niels Bisballe, Rebecca Mucci, Marco Santella, Tönu Pullerits, Junsheng Chen, Tom Vosch* and Bo W. Laursen*. Rational design of bright long fluorescence lifetime dyad fluorophores for single molecule imaging and detection, J. Am. Chem. Soc., 2021, https://doi.org/10.1021/jacs.0c10457
Epitaxial Pb in InAs nanowires for quantum devices, T. Kanne et al. .... & Jesper Nygård, Nature Nanotechnology, (10 May 2021), DOI: https://doi.org/10.1038/s41565-021-00900-9
Quantum Materials Roadmap 2021, Faustino et al., J. Phys. Mat., 2021 (Jesper Nygård is a co-author) DOI: https://doi.org/10.1088/2515-7639/abb74e
The head direction circuit of two insect species
Pisokas, I., Heinze, S., Webb, B. (2020) Elife 9, e53985, 8, 2020
Robots with insect brains.
Webb, B. (2020) Science 368 (6488), 244-245
From skylight input to behavioural output: a computational model of the insect polarised light compass.
Gkanias, E., Risse, B., Mangan, M., & Webb, B. (2019). PLoS computational biology, 15(7).
An anatomically constrained model for path integration in the bee brain.
Stone, T., Webb, B., Adden, A., Ben Weddig, N., Honkanen, A., Templin, R., Wcislo, W., Scimeca, L., Warrant, E. and Heinze, S. (2017) Current Biology 27:3068-3085
Neural mechanisms of insect navigation
Webb, B. and Wystrach, A. (2016) Current Opinion in Insect Science 15,27-39
Public Deliverable Reports for Download
Optical communication between nanowire nodes
Light communication has been achieved between both NW arrays, nanopillars and individual NWs. This is an important step forward for on-chip optical communication between nanostructures for neuromorphic computing. Additional work is needed to evaluate efficiency and understand the optimal coupling and extend the work towards larger networks. What sets the limit for larger networks is the fabrication time of multicomponent systems as well as the yield of individual devices. Thu sit is desirable to benchmark smaller networks and then develop simulation tools for larger networks.
Report: Optical communication between nanowire nodes (pdf, 3MB, new window)
Communication Plan
The InsectNeuroNano consortium is clearly aware that the dissemination and exploitation plan is very important to create awareness of the project results and maximize a future commercial exploitation. The purpose of this deliverable is twofold. On the one hand, to outline the communication and dissemination strategy of the InsectNeuroNano project, and to present the concrete actions that will be undertaken by the partners.
InsectNeuroNano Plan for Communication and Exploitation (pdf 460 kB, new window)
Data Management Plan
The DMP of InsectNeuroNano is based on the template for EU Grants: Data management plan (HE):V1.1 – 01.04.2022. The data fall into seven categories: (1) numerical, (2) imagery, (3) computer code, (4) insect neurophysiology data, (5) chemical synthesis procedures, (6) electronic or optical material characterization technique result files, as well as (7) non electronic data that are recorded in lab journals. Provisions for FAIR data are described. We also list the provisions for data security and back-up as well as other issues that concern specific laws on data sharing in the countries represented in this consortium.