The impact of input fluctuations on the frequency-current relationships of layer 5 pyramidal neurons in the rat medial prefrontal cortex.
about
Dynamic excitatory and inhibitory gain modulation can produce flexible, robust and optimal decision-makingHigh bandwidth synaptic communication and frequency tracking in human neocortexEmergence of band-pass filtering through adaptive spiking in the owl's cochlear nucleusIntrinsic firing properties in the avian auditory brain stem allow both integration and encoding of temporally modulated noisy inputs in vitroIntrinsic gain modulation and adaptive neural codingDivisive gain modulation with dynamic stimuli in integrate-and-fire neuronsImpact of fast sodium channel inactivation on spike threshold dynamics and synaptic integration.Effective stimuli for constructing reliable neuron models.Predictive features of persistent activity emergence in regular spiking and intrinsic bursting model neurons.Sensory adaptation.The dynamical response properties of neocortical neurons to temporally modulated noisy inputs in vitroNon-linear Membrane Properties in Entorhinal Cortical Stellate Cells Reduce Modulation of Input-Output Responses by Voltage Fluctuations.A reconfigurable visual-programming library for real-time closed-loop cellular electrophysiology.Spatiotemporal Spike Coding of Behavioral Adaptation in the Dorsal Anterior Cingulate Cortex.Virtual Electrode Recording Tool for EXtracellular potentials (VERTEX): comparing multi-electrode recordings from simulated and biological mammalian cortical tissue.Enhanced Sensitivity to Rapid Input Fluctuations by Nonlinear Threshold Dynamics in Neocortical Pyramidal Neurons.Membrane voltage fluctuations reduce spike frequency adaptation and preserve output gain in CA1 pyramidal neurons in a high-conductance stateTwo computational regimes of a single-compartment neuron separated by a planar boundary in conductance spaceInferring network dynamics and neuron properties from population recordings.The domain of neuronal firing on a plane of input current and conductance.Tailoring inputs to achieve maximal neuronal firing.Rate Dynamics of Leaky Integrate-and-Fire Neurons with Strong SynapsesSingle neuron firing properties impact correlation-based population coding.Opposing Effects of Intrinsic Conductance and Correlated Synaptic Input on V-Fluctuations during Network ActivityThe basis of sharp spike onset in standard biophysical models.Impact of neuronal properties on network coding: roles of spike initiation dynamics and robust synchrony transferFrequency-dependent disynaptic inhibition in the pyramidal network: a ubiquitous pathway in the developing rat neocortex.Dopamine increases the gain of the input-output response of rat prefrontal pyramidal neurons.The dynamics of integrate-and-fire: mean versus variance modulations and dependence on baseline parameters.Dynamical response properties of neocortical neurons to conductance-driven time-varying inputs.Estimating network parameters from combined dynamics of firing rate and irregularity of single neurons.A computational model for generation of the P300 evoked potential component.
P2860
Q27324430-43F00A7A-DDCE-4AC8-BECE-2D6664E7C4D5Q28545152-E886DC00-23E1-47BB-AF05-3F0290E956EEQ30406818-387021E0-8748-433F-A535-080B36AC680AQ30447169-9DFC9ED8-0C6C-4368-A811-EE2A06FB38A3Q33352687-D407D854-CD81-45DE-8C05-712198966A05Q33434439-A0BD0BA4-E3AC-421E-9DFF-895DA6EBD2B3Q33900820-DF659CA1-B20E-4AED-8B28-A188503F75FCQ34005249-08177E0D-4E0B-4BB4-99F0-49F5BB8A2760Q34262987-C0DB343E-4C83-4171-A55A-1CC7C22C3FB8Q34666602-EE8B5DB4-8650-4DAF-81F9-3A1522E49563Q35117465-EC628130-4D0A-43D4-AFA4-9918E906F283Q35613895-40E3F896-EB69-4945-A279-A8E9995FE3B9Q35686759-46E7F279-FB3E-452E-AF59-DF6C1C8D13A8Q35743568-DDDCD5A0-B79F-4B0F-B522-8D19712E74D2Q35783417-3578D704-5D12-48A2-82F4-E1C99E418EE1Q35933206-E1B1A620-A130-4D08-BF30-BE4796BDAFFBQ36353326-22BC9CB2-8A11-4D5E-8526-CD25F90FAD46Q36943874-B5856FCD-075B-4BF3-9A47-2AAE197C19FAQ38684536-565DEC5E-D23A-4855-981C-CCB46AB08B24Q40638153-B572CCC9-A98E-4732-9B7A-68AC4FD52335Q41184126-3BF87D11-44AA-4BB0-8C6E-82040BF0298EQ41602167-0D5D3665-7F87-4A9D-97DD-DB76175C0178Q41910726-4D915843-8DF7-4C24-ACB2-5A71FCA6A692Q42224780-29EB3C92-E992-407D-BDA7-4D9EBD865F43Q42290528-66DEE20D-C714-4621-95C4-1448B8C84C5CQ42571974-086607BB-9C2B-4696-993B-AE2D39F92436Q43273424-B7290F58-B450-44F1-8CCF-F837630F128EQ46653916-31319C01-AD8A-43A1-B874-1D798728D3D6Q47794926-25F6886F-DED4-478B-9899-1FA5B5427C63Q48001705-B47210BC-C101-4BDC-BA97-1F304686AFCCQ49079708-3BF206F2-2318-40A6-BC3C-06B7E946EDACQ50785329-28DF7B05-95E4-4581-8446-B14BBC4B1989
P2860
The impact of input fluctuations on the frequency-current relationships of layer 5 pyramidal neurons in the rat medial prefrontal cortex.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
The impact of input fluctuatio ...... rat medial prefrontal cortex.
@en
The impact of input fluctuatio ...... rat medial prefrontal cortex.
@nl
type
label
The impact of input fluctuatio ...... rat medial prefrontal cortex.
@en
The impact of input fluctuatio ...... rat medial prefrontal cortex.
@nl
prefLabel
The impact of input fluctuatio ...... rat medial prefrontal cortex.
@en
The impact of input fluctuatio ...... rat medial prefrontal cortex.
@nl
P2093
P1476
The impact of input fluctuatio ...... rat medial prefrontal cortex.
@en
P2093
Brian Nils Lundstrom
Hans-Rudolf Lüscher
Maura Arsiero
P304
P356
10.1523/JNEUROSCI.4937-06.2007
P407
P577
2007-03-01T00:00:00Z