Abstract：
:The knowledge accumulated about the biochemistry of the synapsis in the last decades completely changes the notion of brain processing founded exclusively over an electrical mechanism, toward that supported by a complex chemical message exchange occurring both locally, at the synaptic site, as well as at other localities, depending on the solubility of the involved chemical substances in the extracellular compartment. These biochemical transactions support a rich symbolic processing of the information both encoded by the genes and provided by actual data collected from the surrounding environment, by means of either special molecular or cellular receptor systems. In this processing, molecules play the role of symbols and chemical affinity shared by them specifies the syntax for symbol manipulation in order to process and to produce chemical messages. In this context, neurons are conceived as message-exchanging agents. Chemical strings are produced and stored at defined places, and ionic currents are used to speed up message delivery. Synaptic transactions can no longer be assumed to correspond to a simple process of propagating numbers powered by a factor measuring the presynaptic capacity to influence the postsynaptic electrical activity, but they must be modeled by more powerful formal tools supporting both numerical and symbolic calculations. It is proposed here that formal language theory is the adequate mathematical tool to handle such symbolic processing. The purpose of the present review is therefore: (a) to discuss the relevant and recent literature about trophic factors, signal transduction mechanisms, neuromodulators and neurotransmitters in order (b) to point out the common features of these correlated processes; and (c) to show how they may be organized into a formal model supported by the theory of fuzzy formal languages (d) to model the brain as a distributed intelligent problem solver.
journal_name
Prog Neurobioljournal_title
Progress in neurobiologyauthors
Rocha AFdoi
10.1016/s0301-0082(97)00015-4subject
Has Abstractpub_date
1997-10-01 00:00:00pages
121-98issue
2eissn
0301-0082issn
1873-5118pii
S0301-0082(97)00015-4journal_volume
53pub_type
杂志文章,评审abstract：:Self-supervised models of how the brain represents and categorises the causes of its sensory input can be divided into two classes: those that minimise the mutual information (i.e. redundancy) among evoked responses and those that minimise the prediction error. Although these models have similar goals, the way they ar...
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更新日期：1996-04-01 00:00:00
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abstract：:Cysteine string protein (CSP) was discovered by use of a synapse-specific, monoclonal antibody to screen a cDNA expression library in Drosophila. A vertebrate CSP homolog was later identified and shown to co-purify with synaptic vesicles. CSP-α is now recognized as a membrane constituent of many regulated secretory or...
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journal_title：Progress in neurobiology
pub_type： 杂志文章,评审
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更新日期：1995-05-01 00:00:00
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journal_title：Progress in neurobiology
pub_type： 杂志文章,评审
doi：10.1016/j.pneurobio.2004.10.004
更新日期：2004-12-01 00:00:00
