1 / 0

Dr. Frank Rosenblatt, 1928-1971

Dr. Frank Rosenblatt, 1928-1971. PhD Experimental Psychology, Cornell, 1956 Developed neural networks called perceptrons A probabilistic model for information storage and organization in the brain Key properties Association or learning Generalization to new patterns Distributed memory

mai
Download Presentation

Dr. Frank Rosenblatt, 1928-1971

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Dr. Frank Rosenblatt, 1928-1971 PhD Experimental Psychology, Cornell, 1956 Developed neural networks called perceptrons A probabilistic model for information storage and organization in the brain Key properties Association or learning Generalization to new patterns Distributed memory Biologically plausible brain model Cornell Aero Lab (1957-1959), Cornell University (1960-71) Frank Rosenblatt
  2. Dr. Frank Rosenblatt Wikipedia portrayal exaggerated “Rosenblatt was a colorful character at Cornell in the early 1960s. A handsome bachelor, he drove a classic MGA sports car and was often seen with his cat named Tobermory.” Those who knew him would consider him a rather shy genius and more of a Renaissance man Renaissance man because he excelled in a wide variety of subjects, including psychology (his original field), computing, mathematics, neurophysiology, astronomy, and music Frank Rosenblatt
  3. Agenda The Mark I Perceptron– Visual System Model The TobermoryPerceptron – Auditory System Model Perceptron Computer Simulations Rosenblatt's Book Rosenblatt-Minsky Debates and Minsky-Papert Book Rat Brain Experiments Hobbies – Astronomy, Climbing, Music, Sailing Untimely Death Frank Rosenblatt
  4. The Mark I Perceptron Visual system model and pattern classifier Typical three-layer perceptron: fixed S→A and variable A→R connections Frank Rosenblatt
  5. The Mark I PerceptronVisual system model and pattern classifier Input (sensory) layer of 400 photosensitive units in a 20x20 grid modeling a small retina Connections from input to association layer altered through plug-board wiring, but once wired they were fixed for the duration of an experiment Association layer of 512 units (stepping motors) each of which could take several excitatory and inhibitory inputs Connections from association to output layer were variable weights (motor-driven potentiometers) adjusted through error-propagating training process Output (response) layer of 8 units Frank Rosenblatt
  6. The TobermoryPerceptronAuditory system model and pattern classifier Named after talking cat, Tobermory, in story by H.H. Monroe (aka Saki) Large machine S-units: 45 band-pass filters and 80 difference detectors A-units: 1600 A1-units (20 time samples per detector) & 1000 A2-units R-units: 12, with 12,000 adaptive weights A2→R-units. Frank Rosenblatt
  7. Perceptron Computer Simulations Hardware implementations made good demonstrations but software simulations were far more flexible In early 1960s these computer simulations required machine language coding for speed and memory usage Simulation software package – user could specify the number of layers, the number of units per layer, type of connections between layers, etc. Computer time at Cornell and NYU Frank Rosenblatt
  8. Rosenblatt's BookPrinciples of Neurodynamics, 1962 Part I: historical review of brain modeling approaches, physiological and psychological considerations, and basic definitions and concepts of the perceptronapproach Part II: three-layer, series-coupled perceptrons–mathematical underpinnings and experimental results Part III: multi-layer and cross-coupled perceptrons Part VI: back-coupled perceptrons Book used to teach an interdisciplinary course "Theory of Brain Mechanisms" that drew students from Cornell's Engineering and Liberal Arts colleges Frank Rosenblatt
  9. Series-Coupled Perceptrons A perceptronis a network of sensory (S), association (A), and response (R) signal generating units A series-coupled perceptronis feed-forward S→A→R An elementary perceptronis a series-coupled perceptronwith one R-unit connected to every A-unit and fixed S→A connections Convergence Theorem: Given elementary perceptron, stimulus world W, and any classification C(W) for which a solution exists, then if all stimuli in W re-occur in finite time, the error correction procedure will always find a solution Frank Rosenblatt
  10. Series-Coupled PerceptronsMark I was typical S→A→R perceptron Connections S→A: fixed, usually local A→R: adjustable w training Frank Rosenblatt
  11. Series-Coupled PerceptronsA-units usually local biologically-plausible detectors Frank Rosenblatt
  12. Series-Coupled Perceptrons Rosenblatt studied three and four-layer series-coupled perceptronswith two sets of variable weights but was unable to find a suitable training procedure like back-propagation Dotted lines are variable connections Frank Rosenblatt
  13. Cross-Coupled Perceptrons A cross-coupled perceptronis a system in which some connections join units of the same type (S, A, and/or R) Frank Rosenblatt
  14. Back-Coupled Perceptrons A back-coupled perceptronis a system with feedback paths from units located near the output end of the system to units closer to the sensory end Frank Rosenblatt
  15. Rosenblatt-Minsky Debatesand Minsky-Papert Book Rosenblatt and Marvin Minsky(MIT) debated at conferences the value of biologically inspired computation, Rosenblatt arguing that his neural networks could do almost anything and Minsky countering that they could do little Minsky, wanting to decide the matter once and for all, collaborated with Seymour Papert and published a book in 1969, Perceptrons: An Introduction to Computational Geometry, where they asserted about perceptrons(page 4), "Most of this writing ... is without scientific value...” Minsky, although well aware that powerful perceptronshave multiple layers and Rosenblatt's basic feed-forward perceptronshave three layers, defined a perceptronas a two-layer machine that can handle only linearly separable problems and, for example, cannot solve the exclusive-OR problem Frank Rosenblatt
  16. Minsky-Papert BookH.D. Block’s response paper The authors address three classes of readers Computer scientists specializing in pattern recognition, learning machines, and threshold logic Abstract mathematicians interested in the debut of Computational Geometry Those interested in the general theory of computation leading to decisions based on the weight of partial evidence, e.g. psychologists and biologists H.D. Block concludes Computer scientists “will find the book of little value” Abstract mathematicians consulted “were not captivated” “For psychologists and biologists, the level of mathematical maturity demanded will, I believe, make the book somewhat difficult to read.” Frank Rosenblatt
  17. Rat Brain Experiments Late 1960s – Rosenblatt began experiments in the Cornell Department of Entomology on the transfer of learned behavior via rat brain extracts Rats were taught discrimination tasks such as Y-maze and two-lever Skinner box, their brains extracted and injected into untrained rats that were then tested in the discrimination tasks to determine whether or not there was behavior transfer from the trained to the untrained rats Rosenblatt spent his last several years on this problem and showed convincingly that the initial reports of larger effects were wrong and that any memory transfer was at most very small Frank Rosenblatt
  18. Astronomy Rosenblatt built a modest observatory on a hilltop behind his house in Brooktondale 6 miles east of Ithaca Work began summer 1961 – Fecker 12" cassegrain telescope He had interest in SETI (Search for Extraterrestrial Intelligence) and wrote a proposal touting a "Stellar Coherometer“ he designed Through his connections, probably at NASA, he was awarded $75K for the project if Cornell would administer the grant The observatory was finally completed about 1966 Circular cinderblock structure with dome housing the telescope Frank Rosenblatt
  19. Music Rosenblatt was an accomplished pianist and had a grand piano at his house in Brooktondale He played the well-known classical pieces of Mozart, Beethoven, etc. He also composed music and had a penchant of improvising endlessly on "Three Blind Mice" Frank Rosenblatt
  20. Practical Joker Frank did his undergraduate and graduate studies at Cornell He was a psychology major and Prof. James Gibson was a well-known faculty member and Frank’s dissertation advisor As the story goes, Frank and some other graduate students drove to the town of Gibson one night and stole the town's "Gibson" signs, which they then mounted at the door of Professor Gibson's office When Department Chair saw the signs, he remarked to the department secretary, "Don't you think Gibby's getting a little ostentatious?" Frank Rosenblatt
  21. Untimely DeathSailboat accident on his 43rd birthday He “was a most gifted human being ... had made his entire life a contribution to mankind” Congressional Record Frank Rosenblatt
More Related