Biocomplexity

Living systems are the paradigm of complex systems, with nonlinear interactions occurring at all spatial and temporal scales, from molecules and genes to the planetary scales defining the global biosphere. One of the focus of our research is the ecological level where we consider modes of organisms’ mobility and their interplay with food search, disease propagation, spatial patterning, and also with the basic ecological interactions such as competition, predation, or mutualism. Another focal issue in our studies is understanding brain function, which requires approaches at scales that range from individual neurons to the whole brain. At the neuronal level, we concentrate on aspects of synchronization between interacting neuronal populations and study how information flows. With the help of statistical measures, we analyze experimental data and compare the results with neuronal models.


Researchers

  • Ingo Fischer

    Ingo Fischer

  • Tobias Galla

    Tobias Galla

  • Damià Gomila

    Damià Gomila

  • Emilio Hernández-García

    Emilio Hernández-García

  • Cristóbal López

    Cristóbal López

  • Víctor M. Eguíluz

    Víctor M. Eguíluz

  • Manuel Matías

    Manuel Matías

  • Sandro Meloni

    Sandro Meloni

  • Claudio Mirasso

    Claudio Mirasso

  • Tomás Sintes

    Tomás Sintes

  • Raúl Toral

    Raúl Toral

  • Konstantin Klemm

    Konstantin Klemm

  • Juan Fernández Gracia

    Juan Fernández Gracia

Recent and ongoing Research projects

POST-DIGITAL

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 ...

ADOPD

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 ...

Climb-Out

ChiLd MicroBes predict how to stay away from Obesity

P.I.: Emilio Hernández-García, Claudio Mirasso, Silvia Ortín
Overweight affects greater than 50% of the EU populaon and contributes to the development of chronic metabolic (type-2 diabetes) and cardiovascular disorders, which are leading causes of morbidity and mortality worldwide. Child ...

Ocean Citizen

Marine forest coastal restoration: an underwater gardening socio-ecological plan

P.I.: Damià Gomila
Following the non-achievement of the AICHI targets and most of the Good Environmental Status objectives for 2020, active restoration has been emerged (also envisaged by the EU) as one of the preferred ...

SuMaECO

Sustainability of marine coastal ecosystems in the context of global change in the Mediterranean sea: Modeling and simulations

P.I.: Damià Gomila, Tomás Sintes
The SuMaEco project is an interdisciplinary effort to try to understand the effects of global change on coastal marine ecosystems in the Mediterranean Sea by combining data, models and simulations. With global ...

Decaph

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 ...

MISLAND

Modelling island ecological complexity in the context of global change

P.I.: Lucas Lacasa, Víctor M. Eguíluz
** This project (PID2020-114324GB-C22) is part of a coordinated project between IFISC and IMEDEA, both research centers from CSIC located in Mallorca. The project is funded by AEI and a PhD fellowship ...

CYCLE

Complex DYnamics of CoastaL Ecosystems: Resilience to Climate Change. Modelling and Simulations.

P.I.: Damià Gomila, Tomás Sintes
Complex Dynamics of Coastal Ecosystems: Resilience to Climate Change (CYCLE) is a coordinated multidisciplinary research project that brings together the efforts of experts in the fields of marine ecology and the physics ...

UpMEMO

Updating the brain’s memory base: computational perspective

P.I.: Claudio Mirasso
In this project we bring together systems neuroscience (Subproject 1, IP: Santiago Canals) and computational perspectives (Subproject 2, IP: Claudio Mirasso), to investigate how hippocampal (HC) dependent episodic memories are updated to ...

SEDIMENT

SEagrass DIversity in the MEditerranean basin in a global change scenario: a machine learNing approach from saTellite images

P.I.: Manuel Matías, Tomás Sintes
The main challenge of this project is to correlate the changes in the sea surface temperature (SST) in the Mediterranean basin with the spatial distribution and size of different seagrass species. We ...

PTI+Neuroaging

PTI+Neuroaging

P.I.: Claudio Mirasso
El objetivo final de la medida es lograr una mejora sustancial de la calidad de vida en una población cada vez más envejecida, desarrollando y aplicando los últimos avances en técnicas moleculares ...

ESPoM

Ecosystemic Services in Posidonia oceanica Meadows

P.I.: Tomás Sintes
Identify the relevant interaction mechanisms in Posidonia oceanica (Po) meadows based on field data. Estimate the vulnerability of seagrasses in an scenario of climate change and environmental degradation. Analyze the climate change ...

IN-TREE

INCT in Interdisciplinary and Transdisciplinary Studies in Ecology and Evolution

P.I.: Emilio Hernández-García
IN-TREE goal is to develop projects about ecological and evolutionary research questions from an interdisciplinary approach (based on integrating projects of mathematical/computational/statistical modeling and epistemology/ethics) and a transdisciplinary approach (based on integrating ...

AIHUB

AIHUB

P.I.: Jose Javier Ramasco
HUB CSIC for fomenting the research and services on Artificial Intelligence.

Recent Publications

Degree-day-based model to predict egg hatching of Philaenus spumarius (Hemiptera: Aphrophoridae), the main vector of Xylella fastidiosa in Europe

Lago, Clara; Giménez-Romero, Àlex; Morente, Marina; Matías, Manuel A.; Moreno, Aránzazu; Fereres, Alberto
Environmental Entomology , accepted (2023)

Self-organized sulfide-driven traveling pulses shape seagrass meadows

Ruiz-Reynés, Daniel; Mayol, Elvira; Sintes, Tomàs; Hendriks, Iris E.; Hernández-García, Emilio; Duarte, Carlos M.; Marbà, N.; Gomila, Damià
Proc. Natl. Acad. Sci. U.S.A. 120, e2216024120 (2023)

A compartmental model for Xylella fastidiosa diseases with explicit vector seasonal dynamics

Giménez-Romero, Àlex; Moralejo, Eduardo; Matias, Manuel A.
Submitted (2023)

Integrating theory and experiments to link local mechanisms and ecosystem-level consequences of vegetation patterns in drylands

Martinez-Garcia, Ricardo; Cabal, Ciro; Calabrese, Justin M.; Hernandez-Garcia, Emilio; Tarnita, Corina E.; Lopez, Cristobal; Bonachela, Juan A.
Chaos, Solitons and Fractals 166, 112881 (1-13) (2023)

Network bypasses sustain complexity

Estrada, Ernesto; Lacasa, Lucas
Submitted (2023)

Related News

Traveling patterns in seagrass meadows

Jan. 10, 2023
In seagrass meadows there are patterns associated with high mortality of plants capable of moving while maintaining their shape.Researchers propose a model that reproduces these traveling patterns and at the same time is a diagnostic tool for the health ...

Modeling the spread of Pierce's disease of grapevines

Jan. 30, 2023
Wine production is being decimated in some places by Pierce's disease, caused by the bacterium Xylella fastidiosa. Researchers propose a model that takes into account the effect of ambient temperature to see how climate change will affect its spread ...

Modelling the deadly noble pen shell (Pinna nobilis) epidemic

Sept. 14, 2022
A model designed by researchers from IFISC (UIB-CSIC), in collaboration with IMEDEA (UIB-CSIC), LIMIA (IRFAP) and INAGEA, develops an epidemiological model to comprehend marine epizooticsIn a new article written by IFISC and the University of Buenos Aires, the researchers analyse ...

Identifying the acidification trend of the Balearic Sea using artificial intelligence

Sept. 9, 2022
This study highlights the use of machine learning to characterize the pH decline in the Balearic Sea, a key task in assessing the impacts of climate change on marine biodiversity. The results show a trend of pH decline similar to ...

The shape of memory in temporal networks

Jan. 25, 2022
An international team of researchers, with participation of IFISC (UIB-CSIC), have proposed a mathematical framework to estimate the memory structure of temporal networks. These findings are published in the latest issue Nature Communications.Temporal Networks (those whose structure changes over ...

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