Tahsin’s Reading List: Mind-Body Medicine

 

Meditation & Mindfulness

 

Yoga

 

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

আজকের উপলব্ধিতে নাগরিক ঐক্য [২৬.০৩.১৫]

 

আজ ২৬ মার্চ। মহান স্বাধীনতা দিবস।

দেশের ১৬ কোটি মানুষের প্রত্যেকের জন্য স্বাধীনতা দিবসের শুভেচ্ছা!

 

নাগরিক ঐক্য #Nagorik

“পৃথিবীতে একজন শিশুকে গড়ে তোলার যতগুলো উপায় আছে তার মধ্যে সবচেয়ে সহজ আর সবচেয়ে চমকপ্রদ উপায় হচ্ছে বইপড়া।

… আমার স্ত্রী একটু পরেই আবিষ্কার করল সে একটা অক্ষরও চেনে না, কোনটা কোন অক্ষর জানে না, কিন্ত‍ু সবকিছু পড়তে পারে। আমি নিজের চোখে না দেখলে এটা বিশ্বাস করতাম না যে একজন মানুষ কোনো অক্ষর না জেনে পুরোপুরি পড়ে ফেলতে পারে। অনেক পরে সে যখন স্কুলে গিয়েছে তখন সে এ বি সি ডি শিখেছে!”

 

Explanation:

একটা শিশু যখন ভাষা শেখে তখন “যা দেখছে” আর “যা শুনছে” – দুটোর মাঝে Association তৈরি হয়ঃ

শিশু একটা গোলাকার বল “দেখে” আর একইসাথে “শোনে” ব–ল।

সে শেখে, গোল দেখতে জিনিসটাকে বলে “ব–ল”।

এখানে যে শিশুটির কথা বলা হচ্ছে সে শব্দ “দেখে” Ball বা “BALL” আর “শোনে” ব–ল। এই দুটো থেকে শেখে – “BALL” “দেখলে” এটাকে “উচ্চারণ” করতে হয় “ব–ল”।

এভাবে সরাসরি “শব্দ” দেখে উচ্চারণ করতে শিখতে বাংলা’র চাইতে English সহজ – কার, ফলা, যুক্তবর্ণ, অক্ষরের আকার – এসব জটিলতা নেই।

আবার শিশুটি শিখতে গিয়ে generalize কেমন করেছে – তাও study করার বিষয়। সে কি Capital letter, Small letter generalize করতে পারে?

তাকে যেসব বই পড়ে শোনানো হত – সেখানে Ball,  BALL, ball – তিনভাবেই কি বল লেখা দেখেছে? শিশুটি কিন্তু এক একটা শব্দ একসাথে শিখেছে – অক্ষর না; আমরা যেভাবে গোলাকার দেখতে জিনিসকে “বল” বলি শিশুটি “BALL”‘র মত দেখতে জিনিসকে “বল” বলে। তাই, “BALL” পড়তে পারলেও, হয়ত সে “ball” কে ঠিকভাবে পড়তে নাও পারে – যদি বই-তে “ball” না “দেখে” থাকে।

#CognitiveScience

 

Chittagong City Corporation : Manufacturing in Bangladesh

চট্ট্রগ্রাম এবং চট্ট্রগ্রামের আশপাশের জেলাগুলোতে Manufacturing Clusters গড়ে তোলার উদ্যোগ নেওয়া হবে। Chittagong Port’র অবস্থানের কারণে পণ্য আমদানি-রপ্তানি খরচ কম পড়বে।

China’য় Manufacturing খরচ বেড়ে যাওয়ায় Investors-রা পরবর্তী destination হিসেবে South-East Asia-র দেশগুলোর দিকে যাচ্ছেন। আমি বাংলাদেশকে Manufacturing’র জন্য সবচেয়ে উপযোগী দেশ হিসেবে গড়ে তুলবো।

বাংলাদেশে Digital Manufacturing সহ সব cutting-edge Technology বিকাশের পথ করে দেবো।  #DigitalManufacturing

 

Technologies that comprise “Digital Manufacturing”

  • Automation
  • Robotics
  • Additive Manufacturing & 3D Printing
  • Internet of Things (IoT)
  • Sensors & Big Data
  • Industrial Internet
  • Enterprise Physical Computing

 

Manufacturing Industry কে Support করার জন্য চট্ট্রগ্রামে “Light Engineering” Sector Development-এ কর্মপরিকল্পনা হাতে নেওয়া হবে।

 

Chittagong City Corporation

“চট্টগ্রাম চেম্বারের সভাপতি মাহবুবুল আলমের সঙ্গে মতবিনিময় সভায় এ উদ্যোক্তাদের এ আগ্রহের কথা জানান তাইওয়ান বাণিজ্যকেন্দ্রের পরিচালক উডি ওয়াং।”

Beautiful Bangladesh – রূপসী বাংলাদেশ

 

মাদকমুক্ত বাংলাদেশ  #StopDrugTrafficking  #Nagorik

 

নাগরিক ঐক্য #Nagorik : গণজাগরণ মঞ্চ

আলোকচিত্রে গণজাগরণ মঞ্চের স্বাধীনতা দিবস ‘১৫ উদযাপন

 

Bangladesh Cricket Team

Cricket-এ Digital Sports Technology এবং Biomechanical Science-র প্রয়োগ আমি বাংলাদেশ ক্রিকেট টীম দিয়ে-ই শুরু করবো।

ক্রিকেটে Engineering & Sciences-এর প্রয়োগে বিশ্বে নতুন দিক উন্মোচিত হবে। আর (Technology-র) Testing Phase-এ মাশরাফি, মুশফিক, তাসকিন, সাব্বিরদের Feedback তাতে আলাদা মাত্রা যোগ করবে!

#SportsScience & #DigitalSports

 

 

 

Bangladesh Soccer Team

বাংলাদেশ ফুটবল টীমের জন্যও Digital Sports প্রযুক্তি এবং Biomechanical Science নিয়ে আসছি!

আপাতত Fitness বাড়ানোর দিকে জোর দিতে হবে। ৯০ মিনিট পুরো সময় প্রতিপক্ষের সাথে সমান তালে খেলতে হবে।

 

 

International Relations

Bangladesh – Taiwan Relation

 

Women Empowerment

লরেন পাওয়েল জবস

লরেন পাওয়েল জবস

“অ্যাপলের সহপ্রতিষ্ঠাতা প্রয়াত স্টিভ জবসের স্ত্রী তিনি। প্রযুক্তি খাতের শীর্ষ ১৫ ধনীর তালিকায় আছে লরেন পাওয়েল জবস।

নিজের প্রতিষ্ঠিত ‘এমারসন কালেক্টিভ’ নামের প্রতিষ্ঠানের সাহায্যে শিক্ষা, সামাজিক বিচারব্যবস্থা, পরিবেশ ইত্যাদি নিয়েও কাজ করছেন তিনি।

ক্যালিফোর্নিয়ায় প্রাকৃতিক খাবার বিক্রির প্রতিষ্ঠান ‘তেরাভেরা’র সহপ্রতিষ্ঠাতা তিনি। এ ছাড়া শিক্ষার্থীদের অনলাইন টুলস তৈরি প্রতিষ্ঠান অ্যাচিভার পরিচালনা পর্ষদের সদস্য হিসেবেও কাজ করছেন পাওয়েল।

যুক্তরাষ্ট্রে প্রভাবশালী দ্য কাউন্সিল অব ফরেন রিলেশনসের চেয়ারম্যান হিসেবেও গত বছর দায়িত্ব পালন করা পাওয়েল কাজেরও একাধিক স্বীকৃতি পেয়েছেন।”

 

“নিজের বিশ্ববিদ্যালয়ের পাশাপাশি গুগল ডেভেলপার্স গ্রুপের (জিডিজি) মাধ্যমে তিনি নারীদের উদ্বুদ্ধ করে যাচ্ছেন।

দেশব্যাপী বিভিন্ন বিশ্ববিদ্যালয়ে বছরব্যাপী নানা আয়োজনে মেয়েদের প্রোগ্রামিংয়ে আগ্রহী করতে চান ফারাহ। মনে করেন, প্রোগ্রামিং প্রতিযোগিতায় ওপরের দিকে মেয়েদের থাকাটাও জরুরি। কিংবা হতে পারে মোবাইল অ্যাপ তৈরি বা অন্য কিছু।’

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.

 

 

Science & Engineering, Medicine & Innovation: “Jurassic” Theme Park, Physical Digital Retail & More

 

Science & Engineering, Medicine & Innovation: “Jurassic” Theme Park, Physical Digital Retail & More

Bio-Electronic Medicine 

#BioEngineering #Medicine #MolecularMedicine

“Stimulation of the nervous system could replace drugs for inflammatory and autoimmune conditions”

 

Paleontology – Molecular Biology 

“Jurassic” Theme Park

#ThemeParkDevelopment #BioEngineering #MolecularBio #Biotechnology  #Paleontology

 

Has Science advanced to the point when it can enable us create “Jurassic” Theme Parks featuring Dinosaurs?

“A father-son duo of biologists has set the stage for so-called de-extinction.”

 

 

Computational Neuroscience & Neuro-Engineering  

#ComputationalNeuroscience #NeuroEngineering #Neuroscience #CognitiveScience

 

Google  #PhysicalDigitalRetail

 

Physical Digital Retail  #PhysicalDigitalRetail

 

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)

Latest From Science, Technology And Medicine [11.11.14]

Aerospace

Neuroscience


Google


Materials Science

 
Microsoft
 

“The Lumia 535 will be available later this month in China, Hong Kong, and Bangladesh, starting at €110 (about $135).”

The way our Brains work & Its relation to “Stereotyping”

The way our Brains work & Its relation to “Stereotyping”

#CognitiveScience #NeuroScience #Microsoft  #MarketingStrategy #ArtificialIntelligence

 

The way human brain works is by building “model”s of how the world works. 

[See: Short Review of “How to create a Mind” by Ray Kurzweil and “On Intelligence” by Jeff Hawkins [TahsinVersion2.com] ]

Each concept that we learn, we build an internal model of that conceptThere is a “summarized model” of each concept we  learn – that comes to our mind just as we think of that concept.  

So, for example, thinking of “Microsoft” could remind you of Bill Gates or the Windows Operating System you have on your laptop. But Microsoft is not just Bill Gates or not just Windows. Gates or Windows are only the “summarized model or representation” of Microsoft in your brain.
 
The problem with this is that it could make us fall into the trap of “stereotyping” the world and not reflect the totality of a concept but only a part of it.

As an instance, it might happen that you have read the famous novel “Godfather” by Mario Puzo and from that point on, whenever you hear of Italy or Italians, you are reminded of Italian Mafia. But that’s stereotyping. Not all Italians are part of a Mafia gang.
 
How do we build these models?
 
We build these models as we learn concepts, possibly in a social context. 
This applies to every domain.

Let me give you an example from Marketing.
 
A few days back I wrote:

Microsoft has lost it’s “Brand Appeal” in the past few years that it once enjoyed. Google and Apple lead Microsoft in terms of “Brand Appeal”. 


When you think of Google or Apple products you think of them as being “cool”, “awesome”, “wonderful”, and so on.
 
How?
 
That’s how you learned about Google or Apple. You heard your friends say, “Apple products are so cool” and that’s how the model of “Apple products” in your mind got represented, as being something “cool”
 
In Marketing jargon, it’s called “word of mouth”advertising through the mouth of satisfied customers.
 
“Brand Appeal” depends more on what people “think” of products than the products themselves.
 
It might be the case that Microsoft products are better, but people are not doing enough of those “Wow”s – 

“Windows is so cool!”  

or 

Surface is simply sensational!”

In other words, “Brand Appeal” could fall victim to human stereotyping.
The effect is not just on customers and consumers, but also on job seekers – when you look for jobs, you certainly want to work for the “coolest” company around.



More on “Model”s and Intelligence

 

 

 

 

Latest From Science & Engineering, Medicine & Innovation [08.13.14]

Mathematics

An Iranian mathematician is the first woman ever to receive a Fields Medal, often considered to be mathematics’ equivalent of the Nobel Prize.
The recipient, Maryam Mirzakhani, a professor at Stanford, was one of four winners honored on Wednesday at the International Congress of Mathematicians in Seoul, South Korea.
The Fields Medal is given every four years, and several can be awarded at once. The other recipients this year are Artur Avila of the National Institute of Pure and Applied Mathematics in Brazil and the National Center for Scientific Research in France; Manjul Bhargava of Princeton University; and Martin Hairer of the University of Warwick in England.
Much of the research by Dr. Mirzakhani, who was born in Tehran in 1977, has involved the behavior of dynamical systems. There are no exact mathematical solutions for many dynamical systems, even simple ones.
“What Maryam discovered is that in another regime, the dynamical orbits are tightly constrained to follow algebraic laws,” said Curtis T. McMullen, a professor at Harvard who was Dr. Mirzakhani’s doctoral adviser. “These dynamical systems describe surfaces with many handles, like pretzels, whose shape is evolving over time by twisting and stretching in a precise way. They are related to billiards on tables that are not rectangular but still polygonal, like the regular octagon.”
  • Congratulations to American – Iranian Mathematician Maryam Mirzakhani! When I used to look at the ranklist of International Mathematical Olympiad (IMO), I found that the only Muslim-majority country that made it to the top was Iran. Maryam Mirzakhani was one of the young mathematicians who represented Iran in International Mathematical Olympiad and “At the 1995 International Mathematical Olympiad she was the first Iranian student to finish with a perfect score.” [1]
  • Fields Medal winner Maryam Mirzakhani’s work reminds me of an area (complex systems) that I am currently thinking a lot about. Just as you can’t solve dynamical systems exactly, but can discover algebraic laws that constrain a particular variety of dynamical system, in complex systems research, you can’t model and exactly predict a complex system consisting of lots and lots of interacting agents, but there are emergent properties (and regularities) that you discover when you view from a different perspective. So maybe in near future we will discover an algebra for describing emergent properties in complex systems, like cells (consisting of interacting molecules) or brains (consisting of interacting neurons), or ecology (consisting of interacting organisms).


Science, Technology and Policy


Neuroscience

Physical Digital Computing

Translational Medicine And Bioengineering

References

  1. Maryam Mirzakhani

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