Scientific Understanding of Consciousness
Neural Network — Dendritic Tree Research
Dendritic trees influence synaptic integration and neuronal excitability, yet appear to develop in rather arbitrary patterns.
Computational studies suggest that specific neuronal morphologies -- e.g. dendritic branching patterns and synaptic distributions -- support specific elementary computations. (Sporns; Networks of the Brain, 70)
Research study — Dendrite Synaptic Integration — The pyramidal neuron is the basic computational unit of the cortex. Its distal tuft dendrite is heavily innervated by horizontal fibers coursing through layer 1, which provide long-range corticocortical and thalamocortical associational input.
Research study — Dendritic Encoding of Sensory Stimuli by Cortical Interneurons — The computational power of single neurons is greatly enhanced by active dendritic conductances that have a large influence on their spike activity. Apical dendrites are innervated by local excitatory and inhibitory inputs as well as thalamic and corticocortical projections.
Research study — Dendritic Integration of Sensory and Motor Input — The unique integrative properties of cortical pyramidal neurons enable them to powerfully transform synaptic-input patterns delivered through structured network connectivity. Of particular interest is the ability of pyramidal-neuron dendrites to actively integrate input from spatially segregated and functionally distinct pathways
Research study — Dendritic Discrimination of Temporal Input Sequences — Pyramidal cell dendrites can act as processing compartments for the detection of synaptic sequences, thereby implementing a fundamental cortical computation.
Research study — Dendritic Microcircuit Computations — Cortical microcircuits are nonrandomly intertwined and form cell assemblies that fire in a spatiotemporally orchestrated manner. This patterned activity is decoded by the dendrites of downstream neurons.
Research study — Dendritic Plasticity and Input Feature Storage in Neurons — Local dendritic spikes are nonlinear voltage events that are initiated within dendritic branches by spatially clustered and temporally synchronous synaptic input. That local spikes selectively respond only to appropriately correlated input allows them to function as input feature detectors and potentially as powerful information storage mechanisms.
Research study — Dendritic Trees properties in Cortical Interneuron subtypes — Several features of dendritic structure underlie the otherwise diverse and variable morphologies of dendritic trees.
Research study — Dendritic Spines nonlinear processing enhances neuronal computation — spines may function as highly effective and modifiable chemical and electrical compartments that regulate synaptic efficacy, integration and plasticity.
Research study — Dendritic Spines and Memories — By following postsynaptic dendritic spines over time in the mouse cortex, we show that learning and novel sensory experience lead to spine formation and elimination by a protracted process.
Research study — Dendritic computation of sensory input by cortical neurons — In the visual cortex, many neurons fire predominantly in response to moving objects of a preferred orientation. Orientation-tuned neurons can compute their characteristic firing pattern by integrating spatially distributed synaptic inputs coding for multiple stimulus orientations.
Research study — Dendritic Mechanisms in Interneurons — Fast-spiking, parvalbumin-expressing basket cells (BCs) are important for feedforward and feedback inhibition.
Research study — Dendritic Spine Remodelling — Fear conditioning, extinction and reconditioning cause opposing synaptic modifications on the same dendritic branches in a cue- and location-specific manner.
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