Physiologically relevant in-vitro neural network

Structural connectivity for brain circuits and neural activity recording

For Neuroscience, Computational neuroscience and Neuro engineering

Connectivity controled neural graphs

For any type of neurons, control the number and densities of neurons and their connectivities

Activity measurments

Observe the activity of millions of neurons at the individual neuron resolution

Complex analysis

Analyze and report the effect of perturbations on the network, physical or molecules of interest

Our story

Researchers at CNRS in Grenoble, we have built robust and patented technologies to create in-vitro physiological relevant neural networks.

Key enabling technologies

Minimalistic neural networks on a chip
From the network to the chip
  • Up to 30 chips / week

  • Number and density controlled plating

  • uni and bi directionality, bridges

  • Liquid Chip technology

Thibault Honegger

Principal Investogator
CNRS Researcher at LTM, Grenoble

Tiphaine Belloir

PhD Student

Marianne Elias

PhD Student

Roberto Riesco

PhD Student

Arthur Brunel

M1 Internship

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