Igor Aleksander
Sign in to saveemeritus professor of Neural Systems Engineering at Imperial College London.
Person · Open Library
- Works
- 41
Top works
- World in My Mind, My Mind in the World
- Reinventing man
- Harrap's Business
- Decision and Intelligence
- Impossible minds
via Open Library + Wikidata
Recent publications · Crossref
5 total works indexed
- Spintronics: Fundamentals and applications
· 2004 · cited 10,437x
- Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines
· 2018 · cited 9,374x
- Induced Pluripotent Stem Cell Lines Derived from Human Somatic Cells
· 2007 · cited 8,603x
- Two-Dimensional Nanosheets Produced by Liquid Exfoliation of Layered Materials
· 2011 · cited 6,815x
- Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017
· 2018 · cited 6,089x
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Quotes
- “Neural computing is the study of cellular networks that have a natural property for storing experimental knowledge. Such systems bear a resemblance to the brain in the sense that knowledge is acquired through training rather than programming and is retained due to changes in node functions. The knowledge takes the form of stable states or cycles of states in the operation of the et. A central property of such nets is to recall these states or cycles in response to the presentation of cues.”
- “An opportunity for cybernetics to change the course of the philosophy of mind was missed when intentionality was misinterpreted as "the providing of coded knowledge".”
- “Machine consciousness refers to attempts by those who design and analyse informational machines to apply their methods to various ways of understanding consciousness and to examine the possible role of consciousness in informational machines.”
- “Neural Computing is the study of networks of adaptable nodes which through a process of learning from task examples, store experiential knowledge and make it available for use.”
- “A neural network is a massively parallel distributed processor that has a natural propensity for storing experiential knowledge and making it available for use. It resembles the brain in two respects: 1. Knowledge is acquired by the network through a learning process. 2. Interneuron connection strengths known as synaptic weights are used to store the knowledge.”
- “Trying to understand the brain's abilities leads to philosophical difliculties. Penrose (1994) argues that the task is sterile and that science, including neural networks, has not yet advanced to the stage where it can explain conscious thought. At the other extreme there are philosophers such as Fodor (1975) who believed that thought has language-like properties and can be analysed in the same logical way as one can anlayse the structure of language.”
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Wikidata facts
Show 1 more fact
- date of birth
- 1937-01-26
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Connections
cybernetics
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Queen Mary University of London
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Italy
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South Africa
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Zagreb
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Artificial intelligence
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International Standard Book Number
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The Guardian
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professor
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semiotics
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Margaret Mead
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Buckminster Fuller
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homeostasis
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artificial neural network
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information theory
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Claude Bernard
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Kingdom of Yugoslavia
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Q178577
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Imperial College London
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Talcott Parsons
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Categories
1937 birthsAcademics of Brunel University LondonAcademics of Imperial College LondonAcademics of the University of KentAlumni of Imperial College LondonAlumni of Queen Mary University of LondonArtificial intelligence researchersBritish computer scientistsCroatian engineersCyberneticistsFellows of the Royal Academy of EngineeringLiving people