Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience
C. R. Gallistel
Language: English
Pages: 336
ISBN: 1405122889
Format: PDF / Kindle (mobi) / ePub
Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades.
- A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, suggesting new perspectives on learning mechanisms in the brain
- Proposes that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory
- Suggests that the architecture of the brain is structured precisely for learning and for memory, and integrates the concept of an addressable read/write memory mechanism into the foundations of neuroscience
- Based on lectures in the prestigious Blackwell-Maryland Lectures in Language and Cognition, and now significantly reworked and expanded to make it ideal for students and faculty
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Not preserve structure if the function Tdusk_stars maps Feve to the wrong heavenly body, say, Mars or Polaris, instead of Venus. Thus, only when symbols pick out the appropriate referents and only when symbolic operations get mapped to the appropriate non-symbolic relations does one get a homomorphism, a structure-preserving mapping. Notice that it is perfectly possible for the representing system to correctly represent the evening star as a planet while misrepresenting the morning star as a.
Structure of the DNA code. The number of possible symbols at the lowest level is only 43 = 64, which is the number of possible codons, the lowest level of molecular symbols that have referents. Codons, which are triplets of neucleotides (the primitive data), refer to amino acids, but there are only 20 amino acids, so the codon code is degenerate; more than one codon may refer to the same amino acid. The number of possible symbols that may be constructed from the codons 9781405122870_4_005.qxd.
The information that they convey. The extracted information may be used immediately to inform ongoing behavior, or it may be kept in memory to be used in shaping behavior at some later time. Cognitive scientists seek to understand the stages of processing by which information is extracted, the representations that result, the motor planning processes through which the information enters into the direction of behavior, the memory processes that organize and preserve the information, and the.
AM Page 125 Computation 125 symbols are encountered) is the program. The program may itself be stored in memory – as a sequence of symbols representing the possible states. The Turing machine is a mathematical abstraction rooted in a physical conception. Its importance is twofold. First, it bridges the conceptual gulf between our intuitive conceptions of the physical world and our conception of computation. Intuitively, computation is a quintessentially mental operation, in the Cartesian.
Of the DNA molecule, biologists discovered that the genetic code was truly symbolic: there was no chemical necessity connecting the structure of a gene to the structure of the protein that it coded for. The divorcing of the code from what it codes for is the product of a complex multi-stage molecular mechanism for reading the code (transcribing it) and translating it into a protein structure. These discoveries made a conceptual revolution at the foundations of biochemistry, giving rise to a new.