Daniela Rana

ORCID: 0000-0002-7929-1191
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About
Contact & Profiles
Research Areas
  • Conducting polymers and applications
  • Neuroscience and Neural Engineering
  • Advanced Memory and Neural Computing
  • Photoreceptor and optogenetics research
  • Advanced Sensor and Energy Harvesting Materials
  • Lipid Membrane Structure and Behavior

Forschungszentrum Jülich
2023-2024

RWTH Aachen University
2024

University of Milano-Bicocca
2024

University of Naples Federico II
2024

University of Bonn
2024

Neurohybrid systems have gained large attention for their potential as in vitro and vivo platform to interrogate modulate the activity of cells tissue within nervous system. In this scenario organic neuromorphic devices been engineered bioelectronic platforms resemble characteristic neuronal functions. However, aiming a functional communication with cells, material synthesis, surface engineering can yet be exploited optimizing bio-recognition processes at neuromorphic-neuronal hybrid...

10.1002/advs.202305860 article EN Advanced Science 2024-05-03

Abstract The computation of the brain relies on highly efficient communication among billions neurons. Such efficiency derives from brain’s plastic and reconfigurable nature, enabling complex computations maintenance vital functions with a remarkably low power consumption only ∼20 W. First efforts to leverage brain-inspired computational principles have led introduction artificial neural networks that revolutionized information processing daily life. relentless pursuit definitive computing...

10.1088/2634-4386/acc683 article EN cc-by Neuromorphic Computing and Engineering 2023-03-22

Organic neuromorphic platforms have recently received growing interest for the implementation and integration of hybrid systems, acting as a bridge between biological tissue artificial computing architectures.

10.1039/d3mh02202a article EN cc-by Materials Horizons 2024-01-01

Abstract Electrochemical organic neuromorphic devices (ENODes) are rapidly developing as platforms for computing, automation, and biointerfacing. Resembling short- long-term synaptic plasticity is a key characteristic in creating functional interfaces that showcase spiking activity learning capabilities. This potentially enables ENODes to couple with biological systems, such living neuronal cells ultimately the brain. Before coupling brain, it worth investigating behavior of when they...

10.1088/2634-4386/ad63c6 article EN cc-by Neuromorphic Computing and Engineering 2024-07-16

Abstract The development of organic artificial synapses that exhibit biomimicry features also may enable a more seamless integration neuroelectronic devices in the nervous system, allowing neuromodulation to be perceived as natural behavior by neuronal cells. Nevertheless, capability interact with both electroactive and non‐electroactive neurotransmitters remains challenge since state‐of‐the‐art mainly rely on oxidation species. Here, study proposes an synapse engineered interaction species...

10.1002/adma.202409614 article EN cc-by-nc Advanced Materials 2024-10-14
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