Our biologically plausible learning algorithms incorporate observations and architecture from neuroscience to learn complex patterns in a few-shot, unsupervised manner directly from sensory information. In practice, this currently enables blind source separation of auditory stimuli.
We are continuing to work across the neuroscience and artificial learning communities to develop holistic models that simulate emergent behaviors in the brain to support experimental research and solve functional, real-world problems. Contact us at info@cambrya.co to learn more!