Gersuni GV, Altman JA, Maruseva EA, Radionova EA, Ratnikova GI, and Vartanian IA (1971) Functional classification of neurons in the inferior colliculus of the cat accord- ing their temporal characteristics. In: Gersuni GF (ed). Sensory Processes at the Neu- ronal and Behavioral Level. ...
Functional Classification of Neurons Sensory (afferent) neurons Carry impulses from the sensory receptors Motor (efferent) neurons Carry impulses from the central nervous system Slide 7.14a Copyright © 2003 Pearson Education, Inc. publishing as Benjamin Cummings Functional Classification of Neurons Interne...
The arsenal of technical procedures for the classification of cortical cells in electrophysiological practice is quite broad. These procedures are mainly associated with afferent or antidromal stimulation and are aimed at the identification of cortical cells by their properties. Functional procedures make ...
Fig. 4: Classification of developmentalcis-regulatory elements. a, Genome browser screenshot showing ChromHMM classification of PADREs, and respective histone post-translational modification signals used to define them.b, UMAP plot of PADREs at the Prim-5 stage. Each point represents one open chromati...
The intoxication stage, mostly driven by acute reward, notably associates with dopamine release, in the striatum and frontal cortex, by neurons located in the VTA. The second stage corresponds to negative reinforcement, whereby drug consumption alleviates physical and negative affective states of ...
Additionally, there may be a relevant center called Central Pattern Generator (CPG) in the thoracolumbar region that regulates locomotor behavior [23]. During walking, descending commands from neurons of the midbrain and brain stem provide feedback to the CPG, which then generates the walking ...
and/or morphological changes that underlie the long-term actions of antidepressants.Functional genomicsis one powerful tool that can be used to reveal the basic molecular constituents of neurons at transcription level and can help explain how these constituents work together in the brain. Therefore, ...
The objectives of phenotype discovery are to: (1) remove noise or outliers; (2) inspect the detected ROIs for novel phenotypes in order to (3) define the class labels and formulate the training data for the final phenotype classification model in Module 4. Operationally, the phenotype ...
Fig. 3: Subtype classification of lead variants. Effect plots for all lead variants except the MA variant inPRRT2. Effects are from meta-analyses using a fixed-effects inverse-variance method based on effect estimates and s.e. under the additive model, in which each dataset was assumed to ...
A central challenge of neuroscience is to elucidate how brain function supports consciousness. Here, we combine the specificity of focal deep brain stimulation with fMRI coverage of the entire cortex, in awake and anaesthetised non-human primates. During