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

  • Juan Fernández Gracia

    Juan Fernández Gracia

  • Ingo Fischer

    Ingo Fischer

  • Tobias Galla

    Tobias Galla

  • Damià Gomila

    Damià Gomila

  • Emilio Hernández-García

    Emilio Hernández-García

  • Cristóbal López

    Cristóbal López

  • Manuel Matías

    Manuel Matías

  • Sandro Meloni

    Sandro Meloni

  • Claudio Mirasso

    Claudio Mirasso

  • Tomás Sintes

    Tomás Sintes

  • Raúl Toral

    Raúl Toral

  • Konstantin Klemm

    Konstantin Klemm

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 ...

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 ...

MISLAND

Modelling island ecological complexity in the context of global change

P.I.: Lucas Lacasa
** 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 ...

MdM-IFISC-2

Maria de Maeztu 2023-2026

P.I.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...

SCS

Sensing Complex Systems

P.I.: Lucas Lacasa
La reciente incorporación del Dr. Lucas Lacasa al IFISC abre la posibilidad de consolidar líneas de investigación relevantes como son el desarrollo de la teoría dinámica de redes y el análisis de ...

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 ...

AIAM

Artificial Intelligence & Animal Movement

P.I.: Jorge P. Rodríguez
The AIAM project will introduce Artificial Intelligence (AI) in marine movement tracking ecology. Collecting marine animal movement is a laborious and expensive process, and AI tools can help optimize it, by, for ...

AIHUB

AIHUB

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

Recent Publications

High-order correlations reveal complex memory in temporal hypergraphs

Gallo, Luca; Lacasa, Lucas; Latora, Vito; Battiston, Federico
, (2024)

Metacommunity dynamics of complex life-cycles in exploited seascapes

Vasconcelos, Joana;Riera, Rodrigo;Vahdati Ali V.;Geppi, Eros F.;Sousa, Ricardo;Eguíluz, Victor M.;Pinto, Ana Rita;Melián, Carlos J.
American Naturalist , (2024)

A model for seagrass species competition: dynamics of the symmetric case

Moreno-Spiegelberg, Pablo; Gomila, Damià
Mathematical Modeling of Natural Phenomena 19, 2 (1-18) (2024)

A comprehensive dataset on global coral reefs size and geometry

Giménez-Romero, Alex; Matias, Manuel A.; Duarte, Carlos M.
Submitted (2024)

Contrasting Patterns of Pierce’s Disease Risk in European Vineyards Under Global Warming

Giménez-Romero, Àlex; Iturbide, Maialen; Moralejo, Eduardo; Gutiérrez, José M.; Matías, Manuel A.
Submitted (2024)

Related News

Ocean wave reflection by seagrass patterns may protect coasts against flooding

Dec. 22, 2023
New study shows that spatial patterns in seagrass meadows such as Posidonia oceanica can be explained by the interaction of seagrass growth and ocean wave reflection.The researchers propose that this mechanism may improve the capacity of these coastal ecosystems ...

A mathematical model characterizes different diseases caused by the bacterium Xylella fastidiosa

Feb. 6, 2024
Researchers at the Institute of Cross-disciplinary Physics and Complex Systems (IFISC, UIB-CSIC) have developed a mathematical model that characterizes the different diseases caused by the bacterium Xylella fastidiosa.Xylella fastidiosa, a major plant pathogenic bacterium, has emerged as a global ...

New tool to predict the optimal time of intervention to control the nymphs of Philaenus spumarius, insect vector of Xylella fastidiosa in Europe

July 27, 2023
Researchers from two CSIC institutes developed a predictive tool that can help limit the populations of the main insect vector of the bacterium Xylella fastidiosa, which causes diseases that seriously affect several key crops in our agriculture, such as olive ...

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 ...

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