Rhythm variations of neurons of the reticular formation during lateral overloads /izmeneniye ritmiki neyronov retikulyarnoy formatsii pri poperechnykh pekegruzkakh/
Rhythm variations of neurons of reticular formation during lateral overloads
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Rhythm variations of neurons of reticular formation during lateral overloads
Bioelectric potential measurements of convergence of heterogeneous afferents at single neuron level in cerebellar cortex
Stochastic behavior of primary auditory neurons illustrated by functional model subjected to steady HF sinusoidal tone bursts
Vanadium oxides cystallize in a diverse array of structures and compositions arising from the redox versatility of vanadium, variable covalency of V−O bonds, and myriad coordination geometries. Their open frameworks present abundant interstitial sites that enable insertion of guest-ions. In such compounds, V3d electron and spin localization and disorder couple strongly to structural preferences. The rich structural diversity manifests as a “rugged” free energy landscape with multiple interconvertible polymorphs. Such a landscape sets up structural, electronic, and magnetic transitions that underpin the promise of these materials as ion-insertion battery electrodes; compact primitives for brain-inspired computing, and heterogeneous catalysts. Here, we examine the structural and compositional diversity, electronic instabilities, defect dynamics, structure transformations, mechanical properties, and surface structure of vanadium oxides using single crystals as a distinctive lens. Single crystals enable the measurement of structure−function correlations without the ensemble and orientational averaging inevitable in polycrystalline materials. Their well-defined surfaces further enable examination of facet-dependent reactivity toward molecular adsorbates, ion fluxes, and lattice (mis)matched solids. We provide a comprehensive account of vanadium-oxide single-crystal studies, from delineation of common structural motifs to single-crystal growth techniques, topochemical modification strategies, mechanisms underpinning electronic instabilities, and implementation as electrothermal neurons and battery electrode materials.
Biological memory is the ability to develop, retain, and retrieve information over time. Currently, it is widely accepted that memories are stored in synapses (i.e., connections between brain cells throughout the brain) through a process known as synaptic plasticity, which leads to either long-term potentiation (LTP) or long-term depression (LTD). However, the strengthening (LTP) and weakening (LTD) of synapses involve post-translational modifications to neural networks requiring de novo gene expression, a lengthy and energetically expensive process. Recently, we observed that lipid bilayers in the absence of peptides/proteins are capable of LTP, not unlike what has been observed in mammals and birds. As such, this finding has prompted us to postulate that the lipid bilayer provides a good model for understanding the molecular basis of biological memory. Here, in this article, we discuss the status, challenges, and opportunities of neuronal plasma membranes as structures for biological memory and learning, therapeutic targets for various brain disorders, and platforms for neural network developments.
Norepinephrine in vertebrates and its invertebrate analog, octopamine, regulate the activity of neural circuits. We find that, when hungry,Drosophilalarvae switch activity in type II octopaminergic motor neurons (MNs) to high-frequency bursts, which coincide with locomotion-driving bursts in type I glutamatergic MNs that converge on the same muscles. Optical quantal analysis across hundreds of synapses simultaneously reveals that octopamine potentiates glutamate release by tonic type Ib MNs, but not phasic type Is MNs, and occurs via the G q -coupled octopamine receptor (OAMB). OAMB is more abundant in type Ib terminals and acts through diacylglycerol and its target Unc13A, a key component of the glutamate release machinery. Potentiation varies significantly—by up to 1,000%—across synapses of a single Ib axon, with synaptic Unc13A levels determining both release probability and potentiation. We propose that a dual molecular mechanism—an upstream neuromodulator receptor and a downstream transmitter release controller—fine-tunes catecholaminergic modulation so that strong tonic synapses exhibit large potentiation, while weaker tonic and all phasic synapses maintain consistency, yielding a sophisticated regulation of locomotor behavior.
Neuronal spike populations and EEG activity in chronic unrestrained cats, noting multiple unit responses of acceleration/inhibition during behavioral conditioning procedures
Reaction of single neurons in visual region of cat cerebral cortex to rocking stimulation of vestibular apparatus
Neuronal spike stimulus related and refractory effects separated by conditional probability analyses, with examples from auditory nerve fibers electrophysiological data
Cell membrane and intracellular mechanisms affecting endogenous activity in neuron /parabolic burster of sea hare/, noting circadian rhythm
Abstracts on neuronal fibrous proteins
Electrophysiological response of auditory neurons in cat brain to vestibular stimulation
Neurons reaction in reticular formation of cats during rocking
Postsynaptic effects of vestibular and cerebellar impulses in vestibular nuclei neurons of cat
Aplysias periodic spontaneous gill movements controlled by central neuron activity in abdominal ganglion
Neuron pairs discharge sequence temporal correlation in cats association cortex during natural sleep and wakefulness
Arterial baroreceptor reflex action in rabbits, noting central noradrenergic neuron participation
A matrix Fredholm integral equation of neuronal networks is transformed into a Cauchy system suited for numerical and analytical studies. A special case is discussed, and a connection with the classical renewal integral equation of stochastic point processes is presented.