Balanced excitatory and inhibitory synaptic currents promote efficient coding and metabolic efficiency.
about
Neurobiology as Information Physics.Theory of optimal balance predicts and explains the amplitude and decay time of synaptic inhibition.The meaning of spikes from the neuron's point of view: predictive homeostasis generates the appearance of randomnessA topological approach unveils system invariances and broken symmetries in the brain.A simple model of optimal population coding for sensory systems.Energy Efficient Sparse Connectivity from Imbalanced Synaptic Plasticity RulesCharacterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modellingEnergy-efficient population coding constrains network size of a neuronal array system.Neuroenergetics at the brain-mind interface: a conceptual approach.Building a minimum frustration framework for brain functions over long time scales.Near-Infrared Spectroscopy - Electroencephalography-Based Brain-State-Dependent Electrotherapy: A Computational Approach Based on Excitation-Inhibition Balance Hypothesis.Consequences of converting graded to action potentials upon neural information coding and energy efficiency.A stimulus-dependent spike threshold is an optimal neural coder.On how correlations between excitatory and inhibitory synaptic inputs maximize the information rate of neuronal firing.A computational model of pattern separation efficiency in the dentate gyrus with implications in schizophrenia.Efficient enhancement of information in the prefrontal cortex during the presence of reward predicting stimuli.An auditory brainstem nucleus as a model system for neuronal metabolic demands.Accuracy of rate coding: When shorter time window and higher spontaneous activity help.From abstract topology to real thermodynamic brain activity.Information Rate Analysis of a Synaptic Release Site Using a Two-State Model of Short-Term Depression.Energy-efficient neural information processing in individual neurons and neuronal networks.Synaptic E-I Balance Underlies Efficient Neural Coding.Energy Model of Neuron Activation.Presynaptic Spontaneous Activity Enhances the Accuracy of Latency Coding.Efficient Coding and Energy Efficiency Are Promoted by Balanced Excitatory and Inhibitory Synaptic Currents in Neuronal Network.
P2860
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P2860
Balanced excitatory and inhibitory synaptic currents promote efficient coding and metabolic efficiency.
description
2013 nî lūn-bûn
@nan
2013 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Balanced excitatory and inhibi ...... ding and metabolic efficiency.
@ast
Balanced excitatory and inhibi ...... ding and metabolic efficiency.
@en
type
label
Balanced excitatory and inhibi ...... ding and metabolic efficiency.
@ast
Balanced excitatory and inhibi ...... ding and metabolic efficiency.
@en
prefLabel
Balanced excitatory and inhibi ...... ding and metabolic efficiency.
@ast
Balanced excitatory and inhibi ...... ding and metabolic efficiency.
@en
P2860
P1476
Balanced excitatory and inhibi ...... ding and metabolic efficiency.
@en
P2093
Jeremy E Niven
P2860
P304
P356
10.1371/JOURNAL.PCBI.1003263
P577
2013-10-03T00:00:00Z