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Can I read The Unitary Modification Rules for Neural Networks with Excitatory and Inhibitory Synaptic Plasticity on EtoBox?
The Unitary Modification Rules for Neural Networks with Excitatory and Inhibitory Synaptic Plasticity by Isabella G. Silkis is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is The Unitary Modification Rules for Neural Networks with Excitatory and Inhibitory Synaptic Plasticity about?
The unitary Hebbian modification rules for homo-, hetero- and associative LTP and LTD of excitatory and inhibitory synaptic transmission in the neocortex and hippocampus is proposed. To provide the realization of Hebbian rule it is postulated that only synapses activated by the transmitter are modifiable. The necessary condition for the induction of heterosynaptic LTD is the convergence of homo- and heterosynaptic afferents on both the target cell and 'common' inhibitory interneuron; and modification of common inhibitory pathway efficacy. It is revealed by computational model of postsynaptic processes that in a stationary state post-tetanic synaptic efficacy does not depend on the initial efficacy but is completely defined by the amount of transmitter released during tetanization. Excitatory (inhibitory) synaptic efficacy monotonically increases (decreases) with the intracellular Ca2+ rise that is proportional to stimulation frequency enlargement. Hebbian rule, the coincidence of pre- and postsynaptic cell activity, is only necessary conditions for synaptic plasticity. Modification, such as simultaneous LTP of excitation and LTD of inhibition (LTD of excitation and LTP of inhibitio
Who reads The Unitary Modification Rules for Neural Networks with Excitatory and Inhibitory Synaptic Plasticity?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Isabella G. Silkis
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0303-2647)
- Published
- 1998
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)