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An experimental study of computational model of the CA3 region presents cognitive and behavioural functions the hippocampus. The main property of the CA3 region is plastic recurrent connectivity, where the connections allow it to behave as an auto-associative memory. The computer simulations showed that CA3 model performs efficient long-term synaptic potentiation (LTP) induction and high rate of sub-millisecond coincidence detection. Average frequency of the CA3 pyramidal cells model was substantially higher in simulations with LTP induction protocol than without the LTP. The entropy of pyramidal cells with LTP seemed to be significantly higher than without LTP induction protocol (p = 0.0001). There was depression of entropy, which was caused by an increase of forgetting coefficient in pyramidal cells simulations without LTP (R = –0.88, p = 0.0008), whereas such correlation did not appear in LTP simulation (p = 0.4458). Our model of CA3 hippocampal formation microcircuit biologically inspired lets you understand neurophysiologic data. (Folia Morphol 2018; 77, 2: 210–220)
The aim of this paper is to present a novel algorithm for learning and forgetting within a very simplified, biologically derived model of the neuron, called firing cell (FC). FC includes the properties: (a) delay and decay of postsynaptic potentials, (b) modification of internal weights due to propagation of postsynaptic potentials through the dendrite, (c) modification of properties of the analog weight memory for each input due to a pattern of long-term synaptic potentiation. The FC model could be used in one of the three forms: excitatory, inhibitory, or receptory (ganglion cell). The computer simulations showed that FC precisely performs the time integration and coincidence detection for incoming spike trains on all inputs. Any modification of the initial values (internal parameters) or inputs patterns caused the following changes of the interspike intervals time series on the output, even for the 10 s or 20 s real time course simulations. It is the basic evidence that the FC model has chaotic dynamical properties. The second goal is the presentation of various nonlinear methods for analysis of a biological time series. (Folia Morphol 2018; 77, 2: 221–233)
It is postulated that stress differentially affects interleukin-ip (IL-ip) during ontogenetic life. This study examined the influence of chronic exposure to forced swim (FS) stress or high-light open-field (HL-OF) stress on interleukin-ip (IL-ip). The total level of IL-ip protein was assessed by Western blot analysis of hippocampal extracts. Double immunofluorescence staining was used to reveal the percentage of IL-ip/NeuN (NeuN - neuronal marker) cells in the CA1, CA3 and dentate gyrus (DG) hippocampal subfields. Juvenile (P28; P - postnatal day) and middle-aged (P360) rats were used in the experiment. The research showed no significant differences in IL-ip protein levels between P28 and P360 non-stress rats. However, a substantial increase in the percentage of IL-ip-ir neurons in the CAi, CA3 and DG in P360 rats was observed. Chronic FS had no significant influence on IL-ip expression in the hippocampus or on the percentage of IL-ip-ir neurons in CAi, CA3 and DG hippocampal subfields in either age group. During HL-OF, the IL-ip level was significantly increased in the hippocampus of P28 and P360 rats, whereas a marked increase in the percentage of IL-ip-ir neurons in the CAi, CA3 and DG hippocampal areas occurred only in P360 animals. These results indicate that chronic HL-OF stimulation was the factor inducing changes in the IL-ip protein levels in P28 and P360 rats and in the percentage of IL-ip/NeuN-ir cells in the hippocampus of P360 animals.
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