On my blog it has context. You can see all the other eat/drink posts on thier own or mixed in with everything else. I can include links to the place where I bought it, who makes it, or related posts.Instagram's context is its a photo with an optional description. It doesn't matter what it's of. It won't contain links to anything. ❧
Walter Pitts was used to being bullied. He’d been born into a tough family in Prohibition-era Detroit, where his father, a boiler-maker,…
Highlights, Quotes, Annotations, & Marginalia
McCulloch was a confident, gray-eyed, wild-bearded, chain-smoking philosopher-poet who lived on whiskey and ice cream and never went to bed before 4 a.m. ❧
March 03, 2019 at 06:01PM
McCulloch and Pitts were destined to live, work, and die together. Along the way, they would create the first mechanistic theory of the mind, the first computational approach to neuroscience, the logical design of modern computers, and the pillars of artificial intelligence. ❧
March 03, 2019 at 06:06PM
Gottfried Leibniz. The 17th-century philosopher had attempted to create an alphabet of human thought, each letter of which represented a concept and could be combined and manipulated according to a set of logical rules to compute all knowledge—a vision that promised to transform the imperfect outside world into the rational sanctuary of a library. ❧
March 03, 2019 at 06:08PM
Which got McCulloch thinking about neurons. He knew that each of the brain’s nerve cells only fires after a minimum threshold has been reached: Enough of its neighboring nerve cells must send signals across the neuron’s synapses before it will fire off its own electrical spike. It occurred to McCulloch that this set-up was binary—either the neuron fires or it doesn’t. A neuron’s signal, he realized, is a proposition, and neurons seemed to work like logic gates, taking in multiple inputs and producing a single output. By varying a neuron’s firing threshold, it could be made to perform “and,” “or,” and “not” functions. ❧
Based on their meeting date, it would have to be after 1940.And they published in 1943: https://link.springer.com/article/10.1007%2FBF02478259
March 03, 2019 at 06:14PM
McCulloch and Pitts alone would pour the whiskey, hunker down, and attempt to build a computational brain from the neuron up. ❧
March 03, 2019 at 06:15PM
“an idea wrenched out of time.” In other words, a memory. ❧
March 03, 2019 at 06:17PM
McCulloch and Pitts wrote up their findings in a now-seminal paper, “A Logical Calculus of Ideas Immanent in Nervous Activity,” published in the Bulletin of Mathematical Biophysics. ❧
March 03, 2019 at 06:21PM
I really like this picture here. Perhaps for a business card?
March 03, 2019 at 06:23PM
it had been Wiener who discovered a precise mathematical definition of information: The higher the probability, the higher the entropy and the lower the information content. ❧
March 03, 2019 at 06:34PM
By the fall of 1943, Pitts had moved into a Cambridge apartment, was enrolled as a special student at MIT, and was studying under one of the most influential scientists in the world. ❧
March 03, 2019 at 06:32PM
Thus formed the beginnings of the group who would become known as the cyberneticians, with Wiener, Pitts, McCulloch, Lettvin, and von Neumann its core. ❧
March 03, 2019 at 06:38PM
In the entire report, he cited only a single paper: “A Logical Calculus” by McCulloch and Pitts. ❧
March 03, 2019 at 06:43PM
Oliver Selfridge, an MIT student who would become “the father of machine perception”; Hyman Minsky, the future economist; and Lettvin. ❧
March 03, 2019 at 06:44PM
at the Second Cybernetic Conference, Pitts announced that he was writing his doctoral dissertation on probabilistic three-dimensional neural networks. ❧
March 03, 2019 at 06:44PM
In June 1954, Fortune magazine ran an article featuring the 20 most talented scientists under 40; Pitts was featured, next to Claude Shannon and James Watson. ❧
March 03, 2019 at 06:46PM
Lettvin, along with the young neuroscientist Patrick Wall, joined McCulloch and Pitts at their new headquarters in Building 20 on Vassar Street. They posted a sign on the door: Experimental Epistemology. ❧
March 03, 2019 at 06:47PM
“The eye speaks to the brain in a language already highly organized and interpreted,” they reported in the now-seminal paper “What the Frog’s Eye Tells the Frog’s Brain,” published in 1959. ❧
March 03, 2019 at 06:50PM
There was a catch, though: This symbolic abstraction made the world transparent but the brain opaque. Once everything had been reduced to information governed by logic, the actual mechanics ceased to matter—the tradeoff for universal computation was ontology. Von Neumann was the first to see the problem. He expressed his concern to Wiener in a letter that anticipated the coming split between artificial intelligence on one side and neuroscience on the other. “After the great positive contribution of Turing-cum-Pitts-and-McCulloch is assimilated,” he wrote, “the situation is rather worse than better than before. Indeed these authors have demonstrated in absolute and hopeless generality that anything and everything … can be done by an appropriate mechanism, and specifically by a neural mechanism—and that even one, definite mechanism can be ‘universal.’ Inverting the argument: Nothing that we may know or learn about the functioning of the organism can give, without ‘microscopic,’ cytological work any clues regarding the further details of the neural mechanism.” ❧
March 03, 2019 at 06:54PM
Nature had chosen the messiness of life over the austerity of logic, a choice Pitts likely could not comprehend. He had no way of knowing that while his ideas about the biological brain were not panning out, they were setting in motion the age of digital computing, the neural network approach to machine learning, and the so-called connectionist philosophy of mind. ❧
March 03, 2019 at 06:55PM
by stringing them together exactly as Pitts and McCulloch had discovered, you could carry out any computation. ❧
March 03, 2019 at 06:58PM
While sifting through some old bookmarks from CiteULike which is going to disappear from the web soon, Ifor this book review of Henry Quastler’s book Information Theory in Biology (1953).
The last page of the review had an interesting information theoretical take on not only book reviews, but the level of information they contain with respect for improved teaching and learning in an era prior to Mihaly Csikszentmihalyi’s ideas about “flow”.
As it isn’t the easiest thing to track down, I’ll quote the relevant paragraphs from page 185:
The purpose of a scientific book (we at least hope!) is to store and convey information in a given field. The purpose of a review is to convey information about a book. It is therefore legitimate to attempt a mathematical theory of writing books and to find the optimal conditions which make a book good. At first it may seem that the optimal conditions consist of maximizing the amount of information per page, that is, in minimizing the redundancy. But a certain amount of redundancy may not only be desirable, but necessary. When presenting a new subject to young students who have never heard of it, a judicious amount of repetition is good pedagogy. Giving an exact abstract definition and then illustrating it by an example already constitutes a logical redundancy. But how useful it frequently is! The minimum of redundancy that is found in some well-known and excellent mathematical books (nomina sunt odiosa!) occasionally makes those books difficult to read even for mathematicians.
The optimum amount of redundancy is a function of the information and intelligence of the reader for whom the book is written. The analytical form of this function is to be determined by an appropriate mathematical theory of learning. Writing a book even in a field which belongs entirely to the domains of Her Majesty the Queen of Sciences is, alas, still more an art than a science. Is it not possible, however, that in the future it may become an exact science?
If a reviewer’s information and intelligence are exactly equal to the value for which the book has been optimized, then he will perceive as defects in the book only deviations from the optimal conditions. His criticism will be objective and unbiased. If, however, the reviewer’s information and intelligence deviate in any direction from the value for which the book is intended, then he will perceive shortcomings which are not due to the deviation of the book from the optimum, but to the reviewer’s personal characteristics. He may also perceive some advantages in the same way. If in the society of the future every individual will be tagged, through appropriate tests, as to his information and intelligence at a given time, expressed in appropriate units, then a reviewer will be able to calculate the correction for his personal bias. These are fantastic dreams of today, which may become reality in the future.
Some of this is very indicative of why one has to spend some significant time finding and recommending the right textbooks  for students and why things like personalized learning and improvements in pedagogy are so painfully difficult. Sadly on the pedagogy side we haven’t come as far as he may have hoped in nearly 70 ears, and, in fact, we may have regressed.
I’ve often seen web developers in the IndieWeb community mention the idea that “naming things is hard”, so I can’t help but noticing that this 1950’s reviewer uses the Latin catchphrase nomina sunt odiosa which translates as “names are odious”, which has a very similar, but far older sentiment about naming. It was apparently a problem for the ancients as well.
Walter Pitts was pivotal in establishing the revolutionary notion of the brain as a computer, which was seminal in the development of computer design, cybernetics, artificial intelligence, and theoretical neuroscience. He was also a participant in a large number of key advances in 20th-century science. ❧
This looks like an interesting bio to read.
Because of the “all-or-none” character of nervous activity, neural events and the relations among them can be treated by means of propositional logic. It is found that the behavior of every net can be described in these terms, with the addition of more complicated logical means for nets containing circles; and that for any logical expression satisfying certain conditions, one can find a net behaving in the fashion it describes. It is shown that many particular choices among possible neurophysiological assumptions are equivalent, in the sense that for every net behaving under one assumption, there exists another net which behaves under the other and gives the same results, although perhaps not in the same time. Various applications of the calculus are discussed.
A more serious thing, in the reviewer’s opinion, is the complete absence of contributions dealing with information theory and the central nervous system, which may be the field par excellence for the use of such a theory. Although no explicit reference to information theory is made in the well-known paper of W. McCulloch and W. Pitts (1943), the connection is quite obvious. This is made explicit in the systematic elaboration of the McCulloch-Pitts’ approach by J. von Neumann (1952). In his interesting book J. T. Culbertson (1950) discussed possible neural mechanisms for recognition of visual patterns, and particularly investigated the problems of how greatly a pattern may be deformed without ceasing to be recognizable. The connection between this problem and the problem of distortion in the theory of information is obvious. The work of Anatol Rapoport and his associates on random nets, and especially on their applications to rumor spread (see the series of papers which appeared in this Journal during the past four years), is also closely connected with problems of information theory.
Electronic copy available at: http://www.cse.chalmers.se/~coquand/AUTOMATA/mcp.pdf
This is an important point! And nothing puts a finer point on it than Shoshona Zuboff’s recent book on surveillance capitalism.
Of course it doesn’t hurt that both its size and the cover art are both reminiscent of the book as well.