Neuromorphic Systems: have
systems based on neuroscience,
to perform biological like tasks,
and thereby contribute to neuroscience understanding.
Neuromorphic computing looks at the connection between neurobiological and silicon systems
to build networks of synapses, dendrites, and neurons
that results in
competitive engineering applications
new questions to investigate the underlying neuroscience.
 J. Hasler,
"We could build an artificial brain right now,"
IEEE Spectrum , June 2017.
 J. Hasler, H. B. Marr,
"Finding a Roadmap to achieve Large Neuromorphic Hardware Systems,"
Frontiers in Neuroscience, vol. 7, no. 118, September 2013. pp. 1-29.
 A. Natarajan and J. Hasler, “Hodgkin Huxley Neuron and FPA A Dynamics,”
Transactions on Biological Circuits and Systems, Vol. 12, no. 4, August 2018. pp. 918-926.
 H. B. Marr and J. Hasler,
"Compiling probabilistic, bio-inspired circuits on a
field programmable analog array,"
Frontiers in Neuroscience, 2015. pp. 1-9.