Results 41 to 50 of about 108,821 (298)

Key morphological features of human pyramidal neurons

open access: yesCerebral Cortex, 2023
AbstractThe basic building block of the cerebral cortex, the pyramidal cell, has been shown to be characterized by a markedly different dendritic structure among layers, cortical areas, and species. Functionally, differences in the structure of their dendrites and axons are critical in determining how neurons integrate information.
Benavides Piccione, Ruth   +5 more
openaire   +4 more sources

Dynamic Moment Analysis of the Extracellular Electric Field of a Biologically Realistic Spiking Neuron [PDF]

open access: yes, 2007
Based upon the membrane currents generated by an action potential in a biologically realistic model of a pyramidal, hippocampal cell within rat CA1, we perform a moment expansion of the extracellular field potential.
Koch, Christof, Milstein, J. N.
core   +3 more sources

Six networks on a universal neuromorphic computing substrate [PDF]

open access: yes, 2013
In this study, we present a highly configurable neuromorphic computing substrate and use it for emulating several types of neural networks. At the heart of this system lies a mixed-signal chip, with analog implementations of neurons and synapses and ...
Andreas eGrübl   +10 more
core   +3 more sources

Functional effects of schizophrenia-linked genetic variants on intrinsic single-neuron excitability: A modeling study

open access: yes, 2015
Background: Recent genome-wide association studies (GWAS) have identified a large number of genetic risk factors for schizophrenia (SCZ) featuring ion channels and calcium transporters.
Andreassen, Ole A.   +9 more
core   +2 more sources

An inhibitory pull-push circuit in frontal cortex. [PDF]

open access: yes, 2017
Push-pull is a canonical computation of excitatory cortical circuits. By contrast, we identify a pull-push inhibitory circuit in frontal cortex that originates in vasoactive intestinal polypeptide (VIP)-expressing interneurons.
AA Zekveld   +26 more
core   +1 more source

Computational Modeling of Genetic Contributions to Excitability and Neural Coding in Layer V Pyramidal Cells: Applications to Schizophrenia Pathology

open access: yesFrontiers in Computational Neuroscience, 2019
Pyramidal cells in layer V of the neocortex are one of the most widely studied neuron types in the mammalian brain. Due to their role as integrators of feedforward and cortical feedback inputs, they are well-positioned to contribute to the symptoms and ...
Tuomo Mäki-Marttunen   +9 more
doaj   +1 more source

VIP interneurons in mouse primary visual cortex selectively enhance responses to weak but specific stimuli

open access: yeseLife, 2020
Vasoactive intestinal peptide-expressing (VIP) interneurons in the cortex regulate feedback inhibition of pyramidal neurons through suppression of somatostatin-expressing (SST) interneurons and, reciprocally, SST neurons inhibit VIP neurons. Although VIP
Daniel J Millman   +15 more
doaj   +1 more source

Neurons and circuits for odor processing in the piriform cortex [PDF]

open access: yes, 2013
Increased understanding of the early stages of olfaction has lead to a renewed interest in the higher brain regions responsible for forming unified ‘odor images’ from the chemical components detected by the nose.
Bekkers, John MacDonald   +1 more
core   +1 more source

Visual Recovery Reflects Cortical MeCP2 Sensitivity in Rett Syndrome

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Rett syndrome (RTT) is a devastating neurodevelopmental disorder with developmental regression affecting motor, sensory, and cognitive functions. Sensory disruptions contribute to the complex behavioral and cognitive difficulties and represent an important target for therapeutic interventions.
Alex Joseph Simon   +12 more
wiley   +1 more source

Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model [PDF]

open access: yes, 2008
Synaptic information efficacy (SIE) is a statistical measure to quantify the efficacy of a synapse. It measures how much information is gained, on the average, about the output spike train of a postsynaptic neuron if the input spike train is known. It is
Häusser, M., Larkum, M.E., London, M.
core  

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