Biocomplejidad

Los sistemas vivos son el paradigma de los sistemas complejos, con interacciones no lineales que ocurren a todas las escalas espaciales y temporales, desde moléculas y genes hasta la escala planetaria que define la biosfera global. Uno de los ejes de nuestra investigación es el nivel ecológico, en el que consideramos los modos de movilidad de los organismos y su interacción con la búsqueda de alimentos, la propagación de enfermedades, patrones espaciales y también con las interacciones ecológicas básicas como competición, depredación o mutualismo. Otra cuestión central en nuestros estudios es la comprensión de la función cerebral, que requiere enfoques a escalas que van desde las neuronas individuales a todo el cerebro. En el nivel neuronal, nos concentramos en aspectos de sincronización entre poblaciones neuronales interactuantes, estudiando cómo fluye la información. Con la ayuda de medidas estadísticas, analizamos datos experimentales y comparamos los resultados con modelos neuronales.

Investigadores

  • 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

I.P.: 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

I.P.: 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

I.P.: 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

I.P.: 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.

I.P.: 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

I.P.: 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

I.P.: 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

I.P.: 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

I.P.: 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

I.P.: 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

I.P.: 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

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

Publicaciones recientes

Linking intercontinental biogeographic events to decipher how European vineyards escaped Pierce’s disease

Moralejo, Eduardo; Giménez-Romero, Àlex; Matías, Manuel A.
Submitted (2024)

Global warming significantly increases the risk of Pierce’s disease epidemics in European vineyards

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

Reconstructing brain functional networks through identifiability and deep learning

Zanin, Massimiliano; Aktürk, Tuba; Yıldırım, Ebru; Yerlikaya, Deniz; Yener, Görsev; Güntekin, Bahar
Network Neuroscience 8, 241–259 (2024)

Mapping the distribution of seagrass meadows from space with deep convolutional neural networks

Giménez-Romero, Àlex; Ferchichi, Dhafer; Moreno-Spiegelberg, Pablo; Sintes, Tomàs; Matías, Manuel A.
Submitted (2024)

Pulsed interactions unify reaction-diffusion and spatial nonlocal models for biological pattern formation

Eduardo H. Colombo, Ricardo Martinez-Garcia, Justin M. Calabrese, Cristobal Lopez, Emilio Hernandez-Garcia
Journal of Statistical Mechanics: Theory and Experiment 2024, 034001 (2024)

Esta web utiliza cookies para la recolección de datos con un propósito estadístico. Si continúas navegando, significa que aceptas la instalación de las cookies.


Más información De acuerdo