INSTITUTE FOR NEURAL COMPUTATION
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Welcome to INC

Volcano Asención in Ometepe, Nicaragua.

 

 

Hal White, distinguished economist, founding member of the INC governing board, friend and colleague, died on Saturday March 31 of cancer at age 61. Hal was best known for his seminal work on robust standard errors, known as White's test and used universally to check the validity of econometric models. He also published prolifically on neural networks and had an influential paper in the first volume of Neural Computation relating neural networks to statistics. In addition to being a brilliant statistician, he also played the trumpet in professional jazz bands. Hal was a mentor to a generation of students and a valued colleague, many of whom were at a symposium last year in honor of his 60th birthday. It was clear from the proceedings that he not only had the respect of all but also their deep affection. We will all miss him dearly. Hal's funeral will be private but his family has asked for your thoughts and prayers during this difficult time. In lieu of flowers, his wife Teresa asks that donations be made in Hal's name to the American Cancer Society. (Donations can be sent to: American Cancer Society, PO Box 22718, Oklahoma City, OK 73123-1718.)

The Institute for Neural Computation (INC) is an organized research unit of the University of California at San Diego with 44 members representing 14 research disciplines, devoted to the research and development of a new generation of massively parallel computers through a coherent and cohesive plan of research spanning the areas of neuroscience, visual science, cognitive science, artificial intelligence, mathematics, economics and social science, and computer engineering. View the affiliated faculty list here ...

NIMH Training Program in Cognitive Neurosciences

2012 Predoctoral Fellowship Oportunities.

2012 Post Doctoral Fellowship Oportunities.

The INC supports training programs for graduate students and postdoctoral fellows in Cognitive Neuroscience (NIMH). The Center converges neurobiological, cognitive science, computational and engineering resources for understanding the relationship between the mind and the brain. The Center develops new models of brain dynamics, new signal processing techniques based on these models, and the experimental methods to test them. One goal is to study brain activity that supports social interactions.
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Computational Neuroscience Ph.D. training program

The Computational Neuroscience specialization is a new facet of the broader Neuroscience graduate program at UCSD . The goal of the specialization is to train the next generation of neuroscientists with the broad range of computational and analytical skills that are essential to understand the organization and function of complex neural systems.
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