AFBUJAN.GITHUB.IO

Alejandro Bujan

I'm a data scientist and machine learning enthusiast. Currently, I'm a fellow at the Insight Health Data Science. Program, and before that I was a postdoc at UC Berkeley in the Redwood Center for Theoretical Neuroscience. I'm interested in the newest developments in AI and their application to solving real-world problems, specially improving healthcare. Some of the things I find fascianting to work on:. Applying deep learning to all sorts of problems. Building highly scalable machine learning systems.

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Alejandro Bujan | afbujan.github.io Reviews

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I'm a data scientist and machine learning enthusiast. Currently, I'm a fellow at the Insight Health Data Science. Program, and before that I was a postdoc at UC Berkeley in the Redwood Center for Theoretical Neuroscience. I'm interested in the newest developments in AI and their application to solving real-world problems, specially improving healthcare. Some of the things I find fascianting to work on:. Applying deep learning to all sorts of problems. Building highly scalable machine learning systems.

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Alejandro Bujan | afbujan.github.io Reviews

https://afbujan.github.io

I'm a data scientist and machine learning enthusiast. Currently, I'm a fellow at the Insight Health Data Science. Program, and before that I was a postdoc at UC Berkeley in the Redwood Center for Theoretical Neuroscience. I'm interested in the newest developments in AI and their application to solving real-world problems, specially improving healthcare. Some of the things I find fascianting to work on:. Applying deep learning to all sorts of problems. Building highly scalable machine learning systems.

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afbujan.github.io

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Alejandro Bujan

http://afbujan.github.io/index.html

I'm a data scientist and machine learning enthusiast. Currently, I'm a fellow at the Insight Health Data Science. Program, and before that I was a postdoc at UC Berkeley in the Redwood Center for Theoretical Neuroscience. I'm interested in the newest developments in AI and their application to solving real-world problems, specially improving healthcare. Some of the things I find fascianting to work on:. Applying deep learning to all sorts of problems. Building highly scalable machine learning systems.

2

Alejandro F. Bujan

http://afbujan.github.io/teaching.html

Models of Neurons and Networks. Synfire chains and pulse packets PDF. Scientific Programming with Python. Introduction to Scientific Plotting with Matplotlib PDF. Simulation of Biological Neuronal Networks. Network Topology and Dynamics PDF. Signal Processing, Digital Signals and Stochastic Processes. Simulation of Biological Neuronal Networks. Network Topology and Dynamics PDF. Scientific Programming with Python. Advanced Data Structures and Numpy Arrays. Analysis and Models in Neurophysiology.

3

Alejandro F. Bujan

http://afbujan.github.io/cv.html

PhD Computational Neuroscience, Magna Cum Laude. Bernstein Center Freiburg (BCF), University of Freiburg, Germany. Thesis: Neural Activity Propagation and Variability of Evoked Responses: The Role of Correlated Inputs and Oscillations. MSc Computer Science, with Merit. University of Birmingham, UK. Thesis: STACT : a Software Tool for Predicting Epileptic Seizures. University of Madrid, Spain. Redwood Center for Theoretical Neuroscience. UC Berkeley, USA. University of Freiburg, Germany.

4

Alejandro F. Bujan

http://afbujan.github.io/publications.html

Alejandro F. Bujan. On degeneracy control in overcomplete ICA. Alejandro F. Bujan. Ad Aertsen, and Arvind Kumar. Role of Input Correlations in Shaping the Variability and Noise Correlations of Evoked Activity in the Neocortex. Alejandro F. Bujan. Yves Fregnac and Ad Aertsen, and Arvind Kumar. Communication through Resonance in Spiking Neuronal Networks. Premysl Jiruska, Jozsef Csicsvari, Andrew Powell, John Fox, Wei-Chih Chang, Martin Vreugdenhil, Xiaoli Li, Milan Palus, Alejandro F. Bujan. Arvind Kumar,...

5

Alejandro F. Bujan

http://afbujan.github.io/links.html

Is a great simulator for networks of spiking neurons of any size. I am glad I had the chance to participate in this promo video. Is a great source of tools to develope your own website. Last update: August 28th, 2014.

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redwood.berkeley.edu

People at the Redwood Center - RedwoodCenter

http://redwood.berkeley.edu/people.php

People at the Redwood Center. Michael R. DeWeese. Associate Professor, HWNI and Physics. Director and Professor, HWNI and School of Optometry. Acting Director and Associate Adjunct Professor, HWNI. Affiliated Researcher and UCSC Professor. Postdoc at the Champalimaud Centre for the Unknown. Currently at University of Connecticut. Postdoctoral Fellow, 2005. Currently at the Max-Planck Institute, Tubingen. Winner of the Bernstein Independent Investigator Prize. Research Scientist, 2005-2010.

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People at the Redwood Center - RedwoodCenter

http://www.rctn.org/people.php

People at the Redwood Center. Michael R. DeWeese. Associate Professor, HWNI and Physics. Director and Professor, HWNI and School of Optometry. Acting Director and Associate Adjunct Professor, HWNI. Affiliated Researcher and UCSC Professor. Postdoc at the Champalimaud Centre for the Unknown. Currently at University of Connecticut. Postdoctoral Fellow, 2005. Currently at the Max-Planck Institute, Tubingen. Winner of the Bernstein Independent Investigator Prize. Research Scientist, 2005-2010.

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afbujan.github.io

Alejandro Bujan

I'm a data scientist and machine learning enthusiast. Currently, I'm a fellow at the Insight Health Data Science. Program, and before that I was a postdoc at UC Berkeley in the Redwood Center for Theoretical Neuroscience. I'm interested in the newest developments in AI and their application to solving real-world problems, specially improving healthcare. Some of the things I find fascianting to work on:. Applying deep learning to all sorts of problems. Building highly scalable machine learning systems.

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