Ingo Fischer

Bert Ingo Fischer
My research activities comprise photonics, semiconductor laser physics and laser dynamics, complex systems, in particular delay-coupled systems and laser networks, as well as neuro-inspired information processing.

My current focus is to bridge the fields of photonics, complex systems and neuroscience, achieving cross-fertilization via the understanding of photonic systems, complex dynamical system's properties and their functionalities. This gives rise to bio-inspired photonics and novel information processing concepts.

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Recent Publications

Boosting the output power of large-aperture lasers by breaking their circular symmetry

Brejnak, A.; Gębski, M.; Sokół, A. K.; Marciniak, M.; Wasiak, M.; Muszalski, J.; Lott, J. A.; Fischer, I.; Czyszanowski, T.
Optica 8 (9), 1167-1175 (2021)

Deep neural networks using a single neuron: folded-in-time architecture using feedback-modulated delay loops

Stelzer, Florian; Röhm, Andre; Vicente, Raul; Fischer, Ingo; Yanchuk, Serhiy
Nature Communications 12, 5164 (1-10) (2021)

Reservoir Computing: Theory, Physical Implementations, and Applications

Nakajima, Kohei; Fischer, Ingo (Editors)
, Springer Singapore (2021)

56 GBaud PAM-4 100 km Transmission System with Photonic Processing Schemes

Estébanez, Irene; Li, Shi; Schwind, Janek; Fischer, Ingo; Pachnicke, Stephan; Argyris, Apostolos
Submitted (2021)

Predicting hidden structure in dynamical systems

Gauthier, Daniel J.; Fischer, Ingo
Nature Machine Intelligence 3, 281–282 (2021)

Ongoing Research projects


POST-DIGITAL: Neuromorphic computing in photonic and other nonlinear media

P.I.: Ingo Fischer, Claudio Mirasso
POST-DIGITAL is a Marie Skłodowska-Curie Innovative Training Network, funded by the European Union’s Horizon 2020 research and innovation programme. POST-DIGITAL is committed to form a new generation of engineers and researchers, affording ...


Adaptive Optical Dendrites

P.I.: Ingo Fischer, Claudio Mirasso
The increased demand for computation with low energy consumption requires entirely novel hardware concepts. In ADOPD we develop ultra-fast computational units based on optical-fiber technologies exploiting information processing principles used by neurons ...


Dendrite-based Computation Applied to PHotonics systems

P.I.: Apostolos Argyris, Ingo Fischer, Claudio Mirasso
The DECAPH project addresses fundamental aspects of cognitive computing introducing a disruptive architecture that mimics in more detail the actual operations that are performed in the brain. By mimicking such neuron structures ...


Machine learning with quantum reservoir computing

P.I.: Roberta Zambrini
Project funded by the government of the Balearic Islands with the goal of extending Reservoir Computing into the quantum domain. The project is mainly theoretical/numerical, but also deals with the identification of ...

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