Tahsin’s Reading List: Neuroscience & NeuroEngineering

 

#BookRecommendation

 

Cognitive Neuroscience

 

Computational Neuroscience

Neuroscience

Consciousness & Neuroscience

Neuroscience & Spirituality

 

Psychology

Cognitive Science

Behavioral Economics

Books Authored by Computer Scientists, Cognitive Scientists

 

 

Books Authored by Physicists

Books Authored by Neurologists

  • Books by Dr V. S. Ramachandran [Area of Research: Neurology; Neuroscience]
    • Curious Neurological cases and interesting explanations by Dr Ramachandran.

 

 

 

  • Books by Dr Antonio Damasio [Area of Research: Neurology; Neuroscience]
    • Dr Damasio’s books focus on Emotion, Feelings and Consciousness.

 

Books Authored by Psychiatrists

 

Books Authored by Neuroscientists

 

 

 

 

Books Authored by Psychologists, Linguists, Cognitive Scientists

 

Books Authored by Philosophers

 

Science & Engineering News: Neuroengineering Aims to Empower the Paralyzed and More ..

 

Neuroengineering

#MedicineAndBioEngineering  #NeuroEngineering

“… by maneuvering his right shoulder in certain ways, Mumford could send signals through the stimulator and down his left arm into the muscles of his hand … He [Previously paralyzed] could open the refrigerator, take out a sandwich, and eat it on his own.

Advances in brain-machine interfaces and electrical–stimulation devices are generating marvelous research results in people with paralysis—some are using their thoughts to control robotic arms, and others are taking tentative steps.

250,000 people with spinal-cord injuries in the United States alone.

Retinal implant that can restore sight to people with a hereditary form of blindness. Potential market is quite big—perhaps 1.5 million people worldwide and 100,000 in the United States

Tahsin’s Recommendations: Books on Neurology, Neuroscience, Psychology & Cognitive Science

 

Tahsin’s Recommendations:

Books on Neurology: Books by Neurologists

Books on Neuroscience

Books on Psychological and Cognitive Sciences

#BookRecommendation

 

Cognitive Neuroscience

 

Books Authored by Neurologists, Neuroscientists, Psychologists & Computer Scientists

 

 

  • Books by Dr V. S. Ramachandran [Areas of Research: Neurology; Neuroscience] 
    • Curious Neurological cases and interesting explanations.

 

  • Books by Dr Oliver Sacks [Areas of Research: Neurology; Neuroscience]
    • Neurological Case Studies. Each chapter in his books features a curious neurological patient with a curious disorder. 

 

 

  • Books by Dr Antonio Damasio [Areas of Research: Neurology; Neuroscience]
    • Dr Damasio’s books focus on the topics of Emotion, Feelings and Consciousness.

 

 

Inspiration List For My “To-be-written” Books

Inspiration List For My To-be-written Books

[11.22.14]

#BookRecommendation

 

Physical Computing

  1. The Society of Mind [Paperback] by Marvin Minsky (Amazon)
  2. The Emotion Machine – Marvin Minsky
  3. How to create a Mind – Ray Kurzweil
  4. On Intelligence – Jeff Hawkins
  5. How the Mind Works – Steven Pinker


Education; Neuroscience; Psychology; Cognitive Science


Neuroscience
  1. Phantoms in the Brain – V S Ramachandran
  2. The Tell Tale Brain – V S Ramachandran
  3. The man Who Mistook his Wife for a Hat – Oliver Sacks
  4. Musicophilia – Oliver Sacks
  5. Hallucinations – Oliver Sacks
  6. Consciousness – Antonio Damasio
  7. The Second Nature – Gerald Edelman
  8. How the Mind Works – Steven Pinker


Linguistics; Cognitive Science
  1. The Language Instinct – Steven Pinker


Expertise; Complexity; Human Organization; Managing Complexity
  1. The Checklist Manifesto – Atul Gawande, MD


Future of Technology
  1. Abundance – Peter Diamandis, MD
  2. The Singularity is near – Ray Kurzweil
  3. Physics of the Future – Michio Kaku, PhD
  4. The Future – Al Gore
  5. The Road Ahead – Bill Gates [1995; “Information Superhighway” which came to be known as the “Internet”, and the “Web” on top of it]
  6. The New Digital Age: Transforming Nations, Businesses, and Our Lives by Eric Schmidt, Jared Cohen




Technology in Business:
  1. Business @ The Speed of Thought – Bill Gates


Management and Innovation at Tech Companies

  1. How Google Works by Eric Schmidt & Jonathan Rosenberg 
 


Brain Sciences

 
Economics; Behavioral Economics
  1. Thinking Fast and Slow – Daniel Kahneman


Creativity; Process of Inventions & Discoveries
  1. Imagine – Jonah Lehrer
  2. Where Good Ideas Come From by Steven Johnson


Memory; Expertise
  1. Moonwalking with Einstein – Joshua Foer


Marketing; Business; Psychology
  1. Influence – Robert Cialdini, PhD


Human Decision Making
  1. How we decide – Jonah Lehrer
  2. Blink – Malcolm Gladwell
  3. Thinking Fast and Slow – Daniel Kahnemann; PhD [Behavioral Economics; Behavioral Finance]


MetaCognition; Critical Thinking; Creativity
  1. How to Solve It: A New Aspect of Mathematical Method by George Polya
  2. The Thinker’s Way – John Chaffee, PhD [Critical Thinking; Philosopher’s Tools]
  3. Think Like A Champ – Donald Trump [Success in Business and Life]
  4. Think Like A Freak – Steven Levitt, Stephen Dubner
  5. The Organized Mind: Thinking Straight in the Age of Information Overload by Daniel J Levitin (Amazon)

Guidelines For Research In Neuroscience

Area Of Expertise: # Computational Neuroscience #NeuroEngineering  # Neuroscience

Guidelines For Research In Neuroscience:

Simulation is not enough (Specific cases),

Start building Models & Theories at successive levels of Abstractions (Generalizations).

  • Trying to understand the brain by creating exact models of the brain with enormous computing power (costing Billions of dollars) is not going to work – as is intended. 
    • We are never going to understand how the brain works completely with data only from the lowest level (molecules, channels, neurons) with so much complexity involved.
    • There is so much genetic variation from mouse to mouse, primate to primate, that you can’t draw general conclusions from data of genetic expression of a single mouse. What happens in the brain data scanning initiatives is that data is gathered from a single organism. And what is required is something similar to functional genomics – sort of functional neuroscience – trying to understand the relation between behavior and what happens in the brain – not just cataloging what data from a particular brain looks like.
    • What we need is new models, new theories, new abstractions – that can explain all these data.
    • We don’t need to simulate large parts of the brain on computers. Our goal should be simulation of small parts and theoretical models that can explain data from those small parts of the brain. 
  • We need to start building models, theories, abstractions. And then on top our first attempts at building models and theories, we will start building more accurate models, models that connect data from different levels of the brain. 
    • Our first attempts at building models, abstractions might concentrate on data from only one level. Next, our newer models would connect different levels of structural abstractions and their corresponding different levels of functional abstractions found in the brain.
    • Different structural levels of abstractions found in the brain:
      • Molecules, Receptors, Neurotransmitters. 
      • Neuron, Channels, Synapse, Glial Cells.
      • Collection of neurons
      • Brain regions (e.g., Primary Visual Cortex)
      • Brain – Behavior;  
  • Neuroscientists individually work on a tiny part at “only one level” (among all these levels, from molecules and neurons to whole brain) of the brain. We need scientists who can connect different levels of structural abstractions. 
  • The new breed of Neuroscientists, with the aim of building models, abstractions, theories of the brain, would try to learn how scientists with different backgrounds are studying Neuroscience.     
    • What diseases are Neurologists seeing in patients? How do the Neurologists explain them in terms of lesions, etc. in a particular brain region
    • Examples:
      • Speech – Broca’s area [2].
      • Synesthesia [3] – Cross-connections among nearby brain regions.
    • What diseases are Psychiatrists seeing in patients? How do they explain them in terms of excess or reduction in neurotransmitters? 
      • Examples: 
        • Schizophrenia – Excess of Dopamine [4]. 
    • Data from neurons, channels, molecules.
    • Data from specific brain regions (e.g., MRI, fMRI data).
    • Data from optogenetics – switching neurons on and off with light. 
    • Systems Neuroscience
    • Computer Models of brain. Connectomics.
    • What are we learning from our research in Artificial Intelligence about the requirements of intelligence? 
    • Cognitive Neuroscience – latest research on higher mental functions and brain. 
  • Psychologists have built models. Researchers interested in both Artificial Intelligence and Neuroscience (e.g., Marvin Minsky [1]) have built models. Why not start by trying to explain those models with our understanding of the brain?


Large Neuroscience Projects



References

Quora Question: How Can I Learn About Neurology On My Own? What Are Some Recommended Books To Read?

#BookRecommendation