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Brainbow

Related publications (22)

Revisiting the specificity and ability of phospho-S129 antibodies to capture alpha-synuclein biochemical and pathological diversity

Hilal Lashuel, Nicolas Jean Philippe Guex, Christian Iseli, Anne-Laure Mahul Mellier, Jonathan Jean-Pierre Ricci, Yllza Jasiqi, Anass Chiki, Sean Michael Deguire, Ritwik Burai, Melek Firat Altay, Salvatore Novello, Sonia Donzelli, Ramanath Narayana Hegde, Pedro José Santana Ribeiro Magalhães

Antibodies against phosphorylated alpha-synuclein (aSyn) at 5129 have emerged as the primary tools to investigate, monitor, and quantify aSyn pathology in the brain and peripheral tissues of patients with Parkinson's disease and other neurodegenerative dis ...

NATURE PORTFOLIO2022

A conditional glutamatergic synaptic vesicle marker for Drosophila

Evelyne Ruchti, Brian Donal McCabe

Glutamate is a principal neurotransmitter used extensively by the nervous systems of all vertebrate and invertebrate animals. It is primarily an excitatory neurotransmitter that has been implicated in nervous system development, as well as a myriad of brai ...

OXFORD UNIV PRESS INC2022

Taming neuronal noise with large networks

Valentin Marc Schmutz

How does reliable computation emerge from networks of noisy neurons? While individual neurons are intrinsically noisy, the collective dynamics of populations of neurons taken as a whole can be almost deterministic, supporting the hypothesis that, in the br ...

EPFL2022

Octopamine neuron dependent aggression requires dVGLUT from dual-transmitting neurons

Brian Donal McCabe

Neuromodulators such as monoamines are often expressed in neurons that also release at least one fast-acting neurotransmitter. The release of a combination of transmitters provides both "classical" and "modulatory" signals that could produce diverse and/or ...

2020

Data driven building of realistic neuron model using IBEA and CMA evolution strategies

Henry Markram, Werner Alfons Hilda Van Geit, Tanguy Pierre Louis Damart

Recently the building of large neuronal circuits from realistic neuron models has gained traction. This bottom-up approach relies on the accurate description of the primitive elements composing the brain such as neurons and astrocytes, that are then aggreg ...

ACM2020

Required growth facilitators propel axon regeneration across complete spinal cord injury

Grégoire Courtine, Mark Andrew Anderson, Nicholas David James, Cheng Wang, Sabry Leonardo Barlatey, Michael V. Sofroniew, Zhigang He

Transected axons fail to regrow across anatomically complete spinal cord injuries (SCI) in adults. Diverse molecules can partially facilitate or attenuate axon growth during development or after injury1,2,3, but efficient reversal of this regrowth failure ...

2018

Unsupervised Learning of Phase-Change-Based Neuromorphic Systems

Stanislaw Andrzej Wozniak

Neuromorphic systems provide brain-inspired methods of computing. In a neuromorphic architecture, inputs are processed by a network of neurons receiving operands through synaptic interconnections, tuned in the process of learning. Neurons act simultaneousl ...

EPFL2017

Learning spatio-temporal patterns in the presence of input noise using phase-change memristors

Stanislaw Andrzej Wozniak, Evangelos Eleftheriou, Angeliki Pantazi

Neuromorphic systems increasingly attract research interest owing to their ability to provide biologically inspired methods of computing, alternative to the classic von Neumann architecture. In these systems, computing relies on spike-based communication b ...

2016

Imaging green fluorescent protein-labeled neurons using light and electron microscopy

Graham Knott

The ability to observe axons and dendrites with transmission electron microscopy (EM) after they have been previously imaged live with laser-scanning microscopy is a useful technique to study their synaptic connectivity. This protocol provides a detailed m ...

2013

Multiscale codes in the nervous system: The problem of noise correlations and the ambiguity of periodic scales

Alexander Mathis

Encoding information about continuous variables using noisy computational units is a challenge; nonetheless, asymptotic theory shows that combining multiple periodic scales for coding can be highly precise despite the corrupting influence of noise [Mathis, ...

2013

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