Characterizing neuronal networks activity and their dynamical changes due to endogenous and exogenous causes is a key issue of computational neuroscience and constitutes a fundamental contribution towards the development of innovative intervention strategies in case of brain damage. We address this challenge by making use of a multimodular system able to confine the growth of cells on substrate-embedded microelectrode arrays to investigate the interactions between networks of neurons. We observed their spontaneous and electrically induced network activity before and after a laser cut disconnecting one of the modules from all the others. We found that laser dissection induced de-synchronized activity among different modules during spontaneou...
The understanding and treatment of brain disorders as well as the development of intelligent machine...
We describe the integrated use of pulsed laser microbeam irradiation and microfluidic cell culture m...
Cultured neuronal networks (CNNs) are powerful tools for studying how neuronal representation and ad...
Our nervous system is one of the most complex systems on earth. To investigate some of the nervous s...
There is a growing technological interest in combining biological neuronal networks with electronic ...
Regeneration of functional connectivity within a neural network after different degrees of lesion is...
It has long been assumed that the learning process changes the shape and connectivity of the cells i...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: ...
Brain-machine interfaces (BMI) were born to control ‘actions from thoughts’ in order to recover moto...
In combination with fluorescent protein (XFP) expression techniques, two-photon microscopy has becom...
In combination with fluorescent protein (XFP) expression techniques, two-photon microscopy has becom...
Background: The advent of optogenetics has given neuroscientists the opportunity to excite or inhibi...
The technological advancement of optical approaches, and the growth of their applications in neurosc...
Studies on the degeneration and regeneration of neurons as individual compartments of axons or somat...
Damage in biological neuronal networks triggers a complex functional reorganization whose mechanisms...
The understanding and treatment of brain disorders as well as the development of intelligent machine...
We describe the integrated use of pulsed laser microbeam irradiation and microfluidic cell culture m...
Cultured neuronal networks (CNNs) are powerful tools for studying how neuronal representation and ad...
Our nervous system is one of the most complex systems on earth. To investigate some of the nervous s...
There is a growing technological interest in combining biological neuronal networks with electronic ...
Regeneration of functional connectivity within a neural network after different degrees of lesion is...
It has long been assumed that the learning process changes the shape and connectivity of the cells i...
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2021, Tutor: ...
Brain-machine interfaces (BMI) were born to control ‘actions from thoughts’ in order to recover moto...
In combination with fluorescent protein (XFP) expression techniques, two-photon microscopy has becom...
In combination with fluorescent protein (XFP) expression techniques, two-photon microscopy has becom...
Background: The advent of optogenetics has given neuroscientists the opportunity to excite or inhibi...
The technological advancement of optical approaches, and the growth of their applications in neurosc...
Studies on the degeneration and regeneration of neurons as individual compartments of axons or somat...
Damage in biological neuronal networks triggers a complex functional reorganization whose mechanisms...
The understanding and treatment of brain disorders as well as the development of intelligent machine...
We describe the integrated use of pulsed laser microbeam irradiation and microfluidic cell culture m...
Cultured neuronal networks (CNNs) are powerful tools for studying how neuronal representation and ad...