Main areas of research:

* Computational models of learning in the brain
* Neural coding and neural information processing
* Supervised and reinforcement learning in spiking neural networks
* Motor control in biological and robotic systems
* Brain-machine interface systems and neural-prostheses

Interests/keywords:

computational neuroscience, neuro-engineering, neural motor control, neural-prostheses, robotics

Current title/position:

- Senior Scientist - (2010-present) Brain Corporation, San Diego, USA
- Assist. Professor (sabbatical leave) - Inst.of Control and Information Engineering, Poznan University of Technology, Poland

Academic experience:
- Postdoctoral Research Fellow - Princeton University, USA (2009-2010)
- Postdoctoral Research Fellow - BCCN Freiburg, Germany (2007-2009)
- PhD studies (Robotics/Neuroscience) - Poznan University of Technology (2001-2006)

Collaborators:

Our company - Brain Corporation - is seeking talented scientists and engineers to fill over 20 full-time positions in robotics, adaptive control, machine learning and neuroscience. For more details, please, visit:
www.braincorporation.com

Personal or laboratory homepage:

http://d1.cie.put.poznan.pl/~fp

Publications:

* F.Ponulak, J.J.Hopfield, Rapid, parallel path planning by propagating wavefronts of spiking neural activity [under review]

* F.Ponulak, D.Belter, A.Kasinski, Perspectives on Applications of Spiking Neural Networks in Human-Machine Interfaces. In: Biocybernetics and Biomedical Engineering (in Polish), vol.9 [in press].

* F.Ponulak, A.Kasinski, Introduction to spiking neural networks: Information processing, learning and applications, Acta Neurobiologiae Experimentalis, 71(4):409-433, 2011.

* F.Ponulak, A.Kasiński, Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification and Spike-Shifting. Neural Computation, 22(2):467–510, 2010

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