Fidelis Technologies

Fidelis Logo (Copyright C. Cohen, 2022)

Neuroscience-inspired artificial intelligence

Building artificial neural networks from simplified experimental neurons and primitive connectomes.

 

 

The Process (Copyright C. Cohen, 2022)

 

 

Currently building Salto: an automated tool for robustly solving the biophysical parameters of neuron models.

An extension of a successful application revealing the circuit for saltatory conduction (Cohen et al. Cell, 2020),
Salto enables rapid simulation of action potential propagation in detailed, conductance-based neuron models.

For an early version of Salto's capabilities, please refer to Chapter 3 of The Biophysical Properties of Saltating Potentials.
A peer-reviewed publication is forthcoming.

 

Salto is open-source and developed here: https://github.com/cccohen/Salto.

 

For questions or requests, please write:

charles@fidelis.ai

Charles Cohen, founder

Incorporated in the Netherlands