about
Memory impairment and alterations in prefrontal cortex gamma band activity following methamphetamine sensitization.Fractals in the nervous system: conceptual implications for theoretical neuroscienceBrain, music, and non-Poisson renewal processes.Method for stationarity-segmentation of spike train data with application to the Pearson cross-correlation.Dynamical basis of irregular spiking in NMDA-driven prefrontal cortex neurons.A novel multiple objective optimization framework for constraining conductance-based neuron models by experimental data.Relating neuronal firing patterns to functional differentiation of cerebral cortex.Robust transmission of rate coding in the inhibitory Purkinje cell to cerebellar nuclei pathway in awake mice.Spiking patterns and their functional implications in the antennal lobe of the tobacco hornworm Manduca sexta.Probabilistic identification of cerebellar cortical neurones across speciesDeciphering elapsed time and predicting action timing from neuronal population signals.Increased firing irregularity as an emergent property of neural-state transition in monkey prefrontal cortexA new framework for cortico-striatal plasticity: behavioural theory meets in vitro data at the reinforcement-action interface.Local Variation of Hashtag Spike Trains and Popularity in Twitter.Reward-dependent modulation of neuronal activity in the primate dorsal raphe nucleus.Oscillation, Conduction Delays, and Learning Cooperate to Establish Neural Competition in Recurrent Networks.Statistical properties of superimposed stationary spike trains.Co-emergence of multi-scale cortical activities of irregular firing, oscillations and avalanches achieves cost-efficient information capacityOn the stability and dynamics of stochastic spiking neuron models: Nonlinear Hawkes process and point process GLMs.Temporal dynamics of online petitions.Similarity in Neuronal Firing Regimes across Mammalian SpeciesOn the Spike Train Variability Characterized by Variance-to-Mean Power Relationship.Analog and digital codes in the brain.Simple Cortical and Thalamic Neuron Models for Digital Arithmetic Circuit ImplementationSpike Frequency Adaptation in Neurons of the Central Nervous System.Task-dependent encoding of space and events by striatal neurons is dependent on neural subtype.Surrogate spike train generation through dithering in operational time.Kernel bandwidth optimization in spike rate estimation.Difference in modes of firing rate modulation between cortical areas.Firing variability is higher than deduced from the empirical coefficient of variation.Prediction of flow dynamics using point processes.On dependency properties of the ISIs generated by a two-compartmental neuronal model.Capacity of a single spiking neuron channel.Information transmission using non-poisson regular firing.Multiple time scales of temporal response in pyramidal and fast spiking cortical neurons.Measurement of time-dependent changes in the irregularity of neural spiking.Estimating instantaneous irregularity of neuronal firing.Regional and laminar differences in in vivo firing patterns of primate cortical neurons.Estimating network parameters from combined dynamics of firing rate and irregularity of single neurons.Input-output relationship in social communications characterized by spike train analysis.
P2860
Q27324845-DC16F666-E69F-4D82-AE4F-E8F544766ED0Q28741843-016C6CE6-80A3-4364-93B6-19DB12BC256AQ30363245-07DD4633-DEAF-4344-A94C-B61B5F8142C1Q30620796-EA36DB43-D0FD-4DE8-887C-B9F859133A88Q33245429-715CFBFB-BA8A-4FC6-B3AB-0A156E557A8DQ33382377-2563BE77-4527-4C88-BF25-55101B33C99EQ33480965-633380C6-C6B4-49A1-AC9E-3336EA4123F9Q33853849-D39DC394-585E-4EA1-AB32-702708A55E0EQ34012731-46D9587C-32B5-4524-A348-6773CF114963Q34613159-682E28E5-CE88-4E23-A18F-D047F2792C3DQ35064879-4BB1DB62-1B81-4902-AD14-58BC9875DCF9Q35069439-5970BA09-E999-476A-847B-FE3B7A7A1F6DQ35538767-8628F1E1-2BC5-4949-88D3-10F57DABB037Q35687803-F10F41D8-0FDC-4140-B02E-3BA917DE2A6CQ35897979-616F86C0-E954-48DB-B8D9-D8F8C11993FBQ35913296-297F5781-77E6-4B39-A0F7-359161B6203EQ35931512-B7350D2F-DEE8-4768-B7E2-5FD10A2F971DQ36278411-A2B36389-ACF1-4FA5-9E52-CD8CBD46308BQ36289471-D4721F4B-7621-4EE8-BC7B-B77CB9E2DA29Q36380736-75E835F7-FC8A-4096-8D43-01C25565477DQ36932888-B4307D69-11E6-4C3A-8D21-F2182F1F9BF0Q39006943-2E5781CA-1370-4B67-9585-008AFDC2EB2BQ40231538-1E40FF65-CABE-45E7-9DC5-402D5B8DACF3Q40378404-31631D88-03AE-472B-864C-53E6748F95CEQ41128558-01C84CB9-DB7C-4A5F-AA59-8A7FC47C3677Q41885055-BD346D02-A4C5-48D8-8381-7349DF240CF8Q42382140-CF392501-98B1-49BE-A4FE-CBB46FB801D2Q42426350-ABB3972E-EF4B-435F-9350-B3ED15E3BF3DQ46136867-9E88E4BF-6D18-4558-864E-C40DD2B3FA23Q46643087-FDB71E3A-670B-4431-9221-B3E71850A724Q47553418-706E0741-84B5-469E-93A9-F4E9434EDE81Q47769676-3AFD69D1-0639-42B3-9AFC-A35A7F5405BAQ47820366-3BA83D92-A1B3-4810-856D-2BB4EC92BB98Q48199635-C99ED630-5AA7-4ADA-B34A-BD6EA722993DQ48484007-0117BB51-DD46-4FC9-81BB-C471F7C46B2DQ48607927-620CD136-C445-4F5C-901C-AC886FFA78E9Q48687039-08D20B4D-1C86-4811-9379-58E0CF36A449Q48975166-0CBE0F9B-C6BC-4FED-AF94-D8579E551624Q49079708-51A6061E-07DE-4DA5-BE6E-D7A62562A3F5Q50122451-F49676C1-3F68-4A2B-BE5E-0C57D493E90F
P2860
description
2003 nî lūn-bûn
@nan
2003年の論文
@ja
2003年学术文章
@wuu
2003年学术文章
@zh-cn
2003年学术文章
@zh-hans
2003年学术文章
@zh-my
2003年学术文章
@zh-sg
2003年學術文章
@yue
2003年學術文章
@zh
2003年學術文章
@zh-hant
name
Differences in spiking patterns among cortical neurons.
@en
Differences in spiking patterns among cortical neurons.
@nl
type
label
Differences in spiking patterns among cortical neurons.
@en
Differences in spiking patterns among cortical neurons.
@nl
prefLabel
Differences in spiking patterns among cortical neurons.
@en
Differences in spiking patterns among cortical neurons.
@nl
P2093
P2860
P1433
P1476
Differences in spiking patterns among cortical neurons.
@en
P2093
Keisetsu Shima
Shigeru Shinomoto
P2860
P304
P356
10.1162/089976603322518759
P577
2003-12-01T00:00:00Z