bblais.github.io

bblais on the web

Bblais on the web. I am a professor of Science and Technology. And a research professor at the Institute for Brain and Neural Systems. Brown University. My interests include. Learning and memory in neural systems. Frequentist versus Bayesian statistics. Bayesian approaches to learning and memory. Digital to Analog Computer Control. Neural networks and robotics. Dynamics of global resources and economics. Population growth, Malthusian traps, and energy. You can find my CV here. Recent Posts all posts.

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bblais on the web | bblais.github.io Reviews

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Bblais on the web. I am a professor of Science and Technology. And a research professor at the Institute for Brain and Neural Systems. Brown University. My interests include. Learning and memory in neural systems. Frequentist versus Bayesian statistics. Bayesian approaches to learning and memory. Digital to Analog Computer Control. Neural networks and robotics. Dynamics of global resources and economics. Population growth, Malthusian traps, and energy. You can find my CV here. Recent Posts all posts.

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1 presentations

2 projects

3 publications

4 categories

5 tags

6 archives

7 professor brian blais

8 about me

9 bryant university

10 theoretical neuroscience

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presentations,projects,publications,categories,tags,archives,professor brian blais,about me,bryant university,theoretical neuroscience,vision,spike timing dependent plasticity,bayesian inference,autonomous experiments,global resources,my projects

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bblais on the web | bblais.github.io Reviews

https://bblais.github.io

Bblais on the web. I am a professor of Science and Technology. And a research professor at the Institute for Brain and Neural Systems. Brown University. My interests include. Learning and memory in neural systems. Frequentist versus Bayesian statistics. Bayesian approaches to learning and memory. Digital to Analog Computer Control. Neural networks and robotics. Dynamics of global resources and economics. Population growth, Malthusian traps, and energy. You can find my CV here. Recent Posts all posts.

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bblais.github.io

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Projects · bblais on the web

https://bblais.github.io/pages/projects.html

Bblais on the web. Current and Potential Research Projects. Statistical Inference for Everyone. Statistical Inference for Everyone. Is an introductory textbook on statistical inference, motivated by probability theory as logic. It is intended for a Statistics 101 audience. Pyndamics: Python Numerical Dynamics Simulator. Plasticity: synaptic modification in rate-based neurons. Plasticity is a package with a convenient interface, used to run simulations of single cells and networks of neurons. Plasticity i...

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Statistical Inference for Everyone (sie) · bblais on the web

https://bblais.github.io/statistical-inference-for-everyone-sie.html

Bblais on the web. Statistical Inference for Everyone (sie). This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical. College student, and covers the topics typically covered in the first semester of such a course. It is freely available under the Creative Commons License, and includes a software library in Python for making some of the calculations and visualizations easier. Download the latest version of the book.

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bblais on the web

Bblais on the web. I am a professor of Science and Technology. And a research professor at the Institute for Brain and Neural Systems. Brown University. My interests include. Learning and memory in neural systems. Frequentist versus Bayesian statistics. Bayesian approaches to learning and memory. Digital to Analog Computer Control. Neural networks and robotics. Dynamics of global resources and economics. Population growth, Malthusian traps, and energy. You can find my CV here. Recent Posts all posts.

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