Data from: Input-dependent frequency modulation of cortical gamma oscillations shapes spatial synchronization and enables phase coding

Lowet E, Roberts M, Hadjipapas A, Peter A, van der Eerden J, De Weerd P

Date Published: February 23, 2015

DOI: http://dx.doi.org/10.5061/dryad.p631f

 

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Title monkey_LFP_V1_stimulus_contrast_example_data
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Description Example LFP data from one contact point of a laminar probe inserted in macaque V1 (superficial cortex)
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Title PING_HH_increasing_drive
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Description Simulaiton of a Hodgkin-Huxley pramidal-interneuron gamma (PING) network with different input drive conditions (corresponds to Figure 1).
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Title ring_PING_HH_data
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Description Simulation of a ring-shaped PING network with spatial-defined connectivity and input drive to E-cells Fig3 = the network used for figure 3 in the main manuscript highEE= high interconnecitons strength between E-cells highII = high interconnection strength between I-cells noII = no interconnection strength between I-cells noEE= no interconnecitons strength between E-cells noiselevel1 = low noise level in the input AMPA train to E-cell noiselevel2 = higher noise level in the input AMPA train to E-cell
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Title two_interacting_PING_HH_data
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Description It includes the simulation of two interacting Hodgkin-Huxley pryramidal-interneuron gamma (PING) networks with different coupling conditions and input drive conditions. The coupling value is indicated in the folder name and the mean excitatory drive to each network is saved as input variables in the folder.
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Title phase_oscillator_lattice_data_part1
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Description simulation data from lattice phase-oscillator model part 1
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Title overview
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Description If any questions arise, please contact e.lowet@fcdonders.ru.nl The sharing folder consists of: 1. monkey_LFP_V1_stimulus_contrast_example_data (Fig.1A-B) Example monkey data (one contact of a laminar probe inserted in parafoveal V1 , see Roberts et al.,2013 in Neuron) with 8 different contrast conditons. A square-wave grating is shown with different constrasts that stimulated the V1 receptive field. The monkey is engaged in a passive fixation task. 2. PING_HH_increasing_drive Here a single PING- network receive different level of excitatory input. This corresponds to Fig.1 C-F. This simulation to show that a PING network react with increasing gamma frequency with increasing input drive. The relates to the experimental observation in the monkey experiment where it is known that visual contrast increase the input drive to V1. 8 input level conditions are inlcuded here. The neuronal spiking data (spikes) as well as different network signals (signals) are included. 3. two_interacting_PING_HH_data This relates to Fig.2. Here two interacting PING networks are simulated. The coupling strength as well as the input level difference is manipulated systematically to be able to reconstruct the Arnold tongue. In each folder the spikes, network signals as well the inputs to the both PING networks are included. The coupling values are in the folder names. 4. ring_PING_HH_data Here different simulaiton with the ring-PING network is included. Simulations realted to Fig.3 as well as Suppl.Fig 1-2 are included. Only the relevant spiking data are included. 5. phase_oscillator_lattice_data It includes the simulation output data from the lattice phase-oscillator model for each of 80 input natural contrast images used. The natural contrast images were used to set the intrinisc freuqency of the phase-osicllators. This relates to Fig.7-8. 6. code_phase_oscillator_ring_network.m (MATLAB code) This simulation code corresponds to Fig.6. The simulation code reproduces the output data of the ring-phase-oscillator model. 7. code_izhi_ring_network.m(MATLAB code) This simulation code corresponds to Suppl.Fig.3. The simulation code reproduces the output data of the ring-PING network with Izhikevih-type neurons.
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Title read_phaseoscillator_data
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Title read_HH_data
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Title code_izhi_ring_network
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Description Matlab Code of a ring-shaped pryramidal-interneuron gamma (PING) network with Izhikevich-type model neurons (Suppl. Fig.3).
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Title code_phase_oscillator_ring_network
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Description Matlab Code of a ring-shaped phase-oscillator model (Fig.6)
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Title phase_oscillator_lattice_data_part2
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Description simulation data from lattice phase-oscillator model part 2
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Title phase_oscillator_lattice_data_part3
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Description simulation data from lattice phase-oscillator model part 3
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Title phase_oscillator_lattice_data_part4
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Description simulation data from lattice phase-oscillator model part 4
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Title phase_oscillator_lattice_data_part5
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Description simulation data from lattice phase-oscillator model part 5
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Title phase_oscillator_lattice_data_part6
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Description simulation data from lattice phase-oscillator model part 6
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Title phase_oscillator_lattice_data_part7
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Description simulation data from lattice phase-oscillator model part 7
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Title phase_oscillator_lattice_data_part8
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Description simulation data from lattice phase-oscillator model part 8
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Title phase_oscillator_lattice_data_part9
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Description simulation data from lattice phase-oscillator model part 9
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Title phase_oscillator_laatice_data_part10
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Description simulation data from lattice phase-oscillator model part 10
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When using this data, please cite the original publication:

Lowet E, Roberts M, Hadjipapas A, Peter A, van der Eerden J, De Weerd P (2015) Input-dependent frequency modulation of cortical gamma oscillations shapes spatial synchronization and enables phase coding. PLoS Computational Biology 11(2): e1004072. http://dx.doi.org/10.1371/journal.pcbi.1004072

Additionally, please cite the Dryad data package:

Lowet E, Roberts M, Hadjipapas A, Peter A, van der Eerden J, De Weerd P (2015) Data from: Input-dependent frequency modulation of cortical gamma oscillations shapes spatial synchronization and enables phase coding. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.p631f
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