Hacker News Books

40,000 HackerNews book recommendations identified using NLP and deep learning

Scroll down for comments...

The Official CIA Manual of Trickery and Deception

H. Keith Melton and Robert Wallace

4.4 on Amazon

1 HN comments

Clinical Microbiology Made Ridiculously Simple

Mark T. Gladwin

4.7 on Amazon

1 HN comments

Honeybee Democracy

Thomas D. Seeley

4.7 on Amazon

1 HN comments

The Hidden Spring: A Journey to the Source of Consciousness

Mark Solms

4.6 on Amazon

1 HN comments

Lehninger Principles of Biochemistry

David L. Nelson

4.4 on Amazon

1 HN comments

The Nature of Oaks: The Rich Ecology of Our Most Essential Native Trees

Douglas W. Tallamy

4.8 on Amazon

1 HN comments

Ten Stupid Things Women Do to Mess Up Their Lives

Laura C. Schlessinger

4.6 on Amazon

1 HN comments

How the Brain Works: The Facts Visually Explained (How Things Work)

DK

4.8 on Amazon

1 HN comments

Flourish (A Visionary New Understanding of Happiness and Well-Being)

Martin E.P. Seligman

4.4 on Amazon

1 HN comments

How the Brain Learns

David A. Sousa

4.7 on Amazon

1 HN comments

Plague: One Scientist's Intrepid Search for the Truth about Human Retroviruses and Chronic Fatigue Syndrome (ME/CFS), Autism, and Other Diseases

Kent Heckenlively and Judy Mikovits

4.7 on Amazon

1 HN comments

Passport to Magonia: From Folklore to Flying Saucers

Jacques Vallee

4.8 on Amazon

1 HN comments

Revolt Against the Modern World

Julius Evola

4.7 on Amazon

1 HN comments

Pattern Recognition and Machine Learning (Information Science and Statistics)

Christopher M. Bishop

4.6 on Amazon

1 HN comments

There's No Such Thing as Bad Weather: A Scandinavian Mom's Secrets for Raising Healthy, Resilient, and Confident Kids (from Friluftsliv to Hygge)

Linda Åkeson McGurk

4.8 on Amazon

1 HN comments

Prev Page 13/14 Next
Sorted by relevance

psykliconApr 27, 2010

Ridiculous. Large-scale neuron simulations currently are like an algorithms assignment where I have some code written but don't understand the algorithm so I just tweak things all night and never get anywhere. In other words: "let's hope it does something interesting by just connecting millions of these things that we can kind of describe but don't understand at all."

We are VERY far from understanding the brain. Even for single neurons, we do not understand what is important and what we should ignore. We do not understand real-life neural networks at all. For example, we have the entire neuronal connectivity map for C elegans (only 302 neurons), the worm's genetic structure, and more -- and we still don't understand how its nervous system works, and we can't even simulate it.

This is a problem with this field -- why in the heck are we trying to simulate human and cat brains -- perhaps the most complex of them all -- when we can't even simulate a simple worm?? What ever happened to the idea of starting simple then working our way up??

I am always shocked when I look on the shelves at the bookstore and see lots of books titled "How the brain works" -- when we actually understand so little.

Built withby tracyhenry

.

Follow me on