Overcoming the Usual Reactivity of β-Nitroenones: Synthesis of Polyfunctionalized Homoallylic Alcohols and Conjugated Nitrotriene Systems.

Herein, we report a new application of β-nitroenones as valuable building blocks for the preparation of polyfunctionalized homoallylic alcohols; they can be used as key precursors of conjugated nitrotriene systems. The synthesis of homoallylic alcohols was performed exploiting the chemoselective addition of metal allylating agents to the ketone moiety vs the nitroalkenyl group. The conversion of alcohols into nitrotrienes was achieved under Lewis-acid-promoted conditions.

[Effects of unstructured video exposure on EEG power in situations of forced attention and rest].

Group 1 (N = 30) and group 2 (N = 22) of healthy volunteers participated in the experiment. EEG registration took place while the examinees were in the resting states: with closed eyes; with opened eyes; with opened eyes and being under exposure to TV channel noises (white noise). Group 1 had also to fulfill a task to count randomly appearing symbols on a screen and group 2 had to fulfill a task to find an image in the noises.

[Electroencephalographic characteristic of cognitive-specific alerting attention in verbal learning--III: Localized characteristics of EEG spatial synchronization].

Electroencephalograms (EEG) were recorder in 19 standard derivations in 88 healthy subjects, while they were in the states: rest with eyes open; memorization (learning) of verbal bilingual semantic pairs (Latin and Russian languages); the retrieval of the rote information from memory (control). We compared estimates of EEG coherence in these states for the frequency bands theta (4-7 Hz), alpha-1 (7-10 Hz), alpha-2 (10-13 Hz), beta-1 (13-18 Hz), beta-2 (18-30 Hz), gamma (30-40 Hz). When compared with the rest most strongly expressed: for memorization a decrease of coherence in the pairs of derivations from frontal and central areas of the cortex in the EEG frequency bands; for retrieval an increase of coherence in interhemispheric derivation pairs of pariental-occipital region in majority of the frequency bands.

[Familiarity recognition and recollection: a neural network model].

The capacity of a specially designed neural network for familiarity recognition and recollection has been compared. The recognition is based on calculating some quantity interpreted as the familiarity of a pattern. The familiarity is calculated using a modified Hopfield energy function in which the value of the inner sum is replaced by the sign of this value.