Robert Hecht-Nielsen

In 1986, Hecht-Nielsen co-founded HNC Software which is a neural networking startup based in San Diego. HNC Software is based upon the work Hecht-Nielsen had done, and the breakthroughs he achieved with predictive algorithms.

Robert Hecht-Nielsen was born in July 1947, and passed away in May, 2019.

Robert Hecht-Nielsen is an adjunct professor at the Jacobs School of Engineering at the University of California, San Diego, where he teaches courses on neurocomputing and electrical and computer engineeringcomputer engineering . He acquired his PhD in Mathematics from Arizona State University in 1974. He is an authority on neural networks, and has also attempted to develop a theory of cognition that treats the cerebral cortex and thalamus as a collective information processing unit.

Robert Hecht-Nielsen is an adjunct professor at the Jacobs School of Engineering at the University of California, San Diego, where he teaches courses on neurocomputing and electrical and computer engineering . He acquired his PhD in Mathematics from Arizona State University in 1974. He is an authority on neural networks, and has also attempted to develop a theory of cognition that treats the cerebral cortex and thalamus as a collective information processing unit.

Robert Hecht-Nielsen is an adjunct professor at the Jacobs School of Engineering at the University of California, San Diego, where he teaches courses on neurocomputing and electrical and computer engineering . He acquired his PhD in Mathematics from Arizona State University in 1974. He is an authority on neural networks, and has also attempted to develop a theory of cognition that treats the cerebral cortex and thalamus as a collective information processing unit.

An American computer scientist and expert neural networks, brain theory, associative memory neural networks, Perceptron theory and theory of thalamocortex. He is an Adjunct Professor at the Jacobs School of Engineering at the University of California, San Diego teaching courses on Neurocomputing, Electrical and Computer Engineering .

He is a member of the UCSD Institute for Neural Computation and is one of the founders of the UCSD Graduate Program in Computational Neurobiology. He is a Faculty-Affiliate at the California Institute for Telecommunications and Information Technology (Calit2).

He is an authority on neural networks. He is the pioneer of the comprehensive theory of the mammalian cerebral cortex and thalamus in 2002. He acquired his PhD in Mathematics from Arizona State University in 1974.

Robert Hecht-Nielsen is an adjunct professor at the Jacobs School of Engineering at the University of California, San Diego, where he teaches courses on neurocomputing and electrical and computer engineering . He acquired his PhD in Mathematics from Arizona State University in 1974. He is an authority on neural networks, and has also attempted to develop a theory of cognition that treats the cerebral cortex and thalamus as a collective information processing unit.

HeHecht-Nielsen is also a member of the UCSD Institute for Neural Computation, a founder of the UCSD graduate program in Computational Neurobiology, an affiliate of the California Institute for Telecommunications and Information Technology (Calit2), and a fellow of the Institute of Electrical and Electronics Engineers (IEEE). He washas also awarded withreceived the IEEE Neural Networks Pioneer Award and the ECE Graduate Teaching Award.

An American computer scientist and expert neural networks, brain theory, associative memory neural networks, Perceptron theory and theory of thalamocortex. He is an Adjunct Professor at the Jacobs School of Engineering at the University of California, San Diego teaching courses on Neurocomputing, Electrical and Computer Engineering .

He is a member of the UCSD Institute for Neural Computation and is one of the founders of the UCSD Graduate Program in Computational Neurobiology. He is a Faculty-Affiliate at the California Institute for Telecommunications and Information Technology (Calit2).

He is an authority on neural networks. He is the pioneer of the comprehensive theory of the mammalian cerebral cortex and thalamus in 2002. He acquired his PhD in Mathematics from Arizona State University in 1974.

He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE). He was also awarded with the IEEE Neural Networks Pioneer Award and the ECE Graduate Teaching Award.